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Location: Quonset, United States 📍 Location: Quonset, RI 📄 Employment Type: Contract 🏢 Work Arrangement: On-site 🚀 Start Date: TBD 💰 Compensation: TBD — based on skills and experience Important Screening Requirements Technical background in electronics within robotics, defense, aerospace, avionics, or related industries. Experience preparing, setting up, and executing detailed test procedures. Ability to read electrical schematics, wiring diagrams, engineering drawings, and technical documentation. Hands-on experience with digital multimeters (DMMs), oscilloscopes, benchtop power supplies, and function generators. Must be eligible to obtain and maintain an active U.S. Secret security clearance . Willingness to support offshore field operations, testing, or vessel trials when required. About the Role We are seeking a hands-on Manufacturing Test Technician to support the testing, troubleshooting, and integration of complex electromechanical assemblies used in advanced Autonomous Underwater Vehicle (AUV) systems. This contract opportunity focuses on executing subsystem end-of-line (EOL) tests, inspecting electronic assemblies, diagnosing electrical issues, and supporting pressure vessel production and testing processes. The successful candidate will work closely with engineering and operations teams to ensure test quality, accurately document results, troubleshoot hardware issues, and help meet production milestones. What We’re Looking For We’re looking for a detail-oriented test technician with a strong electronics background and practical experience executing test procedures in a manufacturing or technical environment. The ideal candidate can independently operate electrical test equipment, interpret schematics and engineering drawings, diagnose circuit-level issues, and maintain accurate test documentation. Strong candidates will combine hands-on testing and troubleshooting skills with a commitment to safety, quality, and continuous improvement. Experience with subsea robotics, underwater systems, or pressure vessel testing is a plus. Key Responsibilities Testing & System Integration Support pressure vessel assembly and testing as part of AUV integration. Build, test, and integrate complex electrical and mechanical assemblies. Execute subsystem end-of-line (EOL) tests according to established procedures and documentation. Prepare, configure, and execute detailed test procedures to verify assembly performance. Configure devices by flashing and loading specified software and firmware versions. Support testing and integration activities to meet production requirements. Electronics Inspection & Troubleshooting Perform incoming quality inspection testing on printed circuit board assemblies (PCBAs). Troubleshoot, diagnose, and repair electrical and electronic circuits down to the component level. Use digital multimeters, oscilloscopes, benchtop power supplies, and function generators to investigate electrical issues. Interpret electrical schematics, wiring diagrams, engineering drawings, and technical documentation. Identify hardware issues and support corrective actions to maintain product quality. Pressure Vessel Production & Process Improvement Support the refinement, documentation, and continuous improvement of pressure vessel production and test processes. Assist with testing and troubleshooting activities related to pressure vessel systems. Follow established procedures and technical specifications throughout manufacturing and testing. Contribute to improvements in test efficiency, consistency, and reliability. Quality, Documentation & Safety Maintain 5S standards across test benches and work areas. Perform physical part inspections and close out assigned work orders. Accurately document test procedures, results, and identified issues. Follow facility safety protocols and established testing procedures. Maintain test integrity and attention to detail throughout all assigned activities. Equipment & Laboratory Support Support equipment upkeep and calibration tracking. Maintain tooling organization and laboratory inventory. Keep test benches and work areas organized and ready for testing. Help ensure test equipment and tools are maintained appropriately. Offshore Operations & Field Testing Support offshore field operations, testing, or vessel trials when required. Assist with troubleshooting and testing during field activities. Follow applicable safety procedures during operational support. Required Qualifications Solid electronics background in a relevant technical industry. Demonstrated experience preparing and executing detailed test procedures. Working knowledge of electrical engineering concepts and circuit theory. Ability to read and work from technical documentation, electrical schematics, wiring diagrams, and engineering drawings. Hands-on proficiency with standard electrical test equipment, including: Digital multimeters (DMMs) Oscilloscopes Benchtop power supplies Function generators Strong attention to detail, documentation, organization, and test integrity. Ability to work independently, adapt to changing priorities, and meet deadlines. Strong written and verbal communication skills. Eligibility to obtain and maintain an active U.S. Secret security clearance. Willingness to support offshore field operations, testing, or vessel trials when required. Preferred Qualifications Experience with subsea robotics, AUVs, UUVs, or underwater equipment . Experience safely handling electrical systems up to 400 VDC . Subsea cable splicing, potting, or custom wire harness fabrication experience. Experience with hydrostatic test setups, pressure vessels, or high-pressure pneumatic and hydraulic systems. Current or previous IPC-A-610 and/or IPC/WHMA-A-620 certifications . Experience in low-volume, high-mix manufacturing or prototype-to-production environments.

Location: Quonset, United States 📍 Location: Quonset, RI 📄 Employment Type: Contract 🏢 Work Arrangement: On-site 🚀 Start Date: TBD 💰 Compensation: TBD — based on skills and experience Important Screening Requirements 4–12 years of relevant electronics technician experience in robotics, defense, avionics, or related fields. Experience with complex electromechanical assemblies, tight-tolerance components, enclosures, and wire routing. Ability to read electrical schematics, engineering drawings, and technical documentation. Hands-on electrical debugging experience using digital multimeters, oscilloscopes, or similar equipment. Understanding of electrical engineering principles and the manufacturing lifecycle. Must be eligible to obtain and maintain an active U.S. Secret security clearance . Willingness to support offshore operations travel if required by the contract. About the Role We are seeking a hands-on Electronics Technician to support the assembly, testing, and integration of advanced Autonomous Underwater Vehicle (AUV) systems. This contract opportunity involves working with complex electrical and electromechanical assemblies while collaborating with engineering and manufacturing teams to support production and delivery milestones. The successful candidate will have practical electronics assembly and troubleshooting experience, strong attention to detail, and the ability to follow engineering specifications while contributing to the reliable production of advanced underwater systems. What We’re Looking For We’re looking for an experienced electronics technician who can build, test, integrate, and troubleshoot complex electrical assemblies in a manufacturing environment. The ideal candidate is comfortable working with intricate wiring harnesses, soldering electronic modules and printed circuit board assemblies (PCBAs), reading technical documentation, and using electrical test equipment to identify and resolve issues. Candidates with backgrounds in defense, robotics, avionics, subsea systems, or low-volume, high-mix manufacturing are encouraged to apply. Key Responsibilities Electronics Assembly & Integration Build, test, and integrate complex electrical assemblies into AUV platforms. Support pressure vessel fabrication and assembly as part of overall AUV production integration. Perform detailed electromechanical assembly involving tight tolerances, complex components, enclosures, and wire routing. Fabricate complex wire harnesses and solder electronic modules and printed circuit board assemblies (PCBAs). Modify commercial off-the-shelf (COTS) components to support manufacturing and integration requirements. Electrical Testing & Troubleshooting Perform electrical debugging using digital multimeters, oscilloscopes, and other relevant test equipment. Troubleshoot electrical and electromechanical assemblies during manufacturing and integration. Configure devices by flashing or loading the correct software and firmware versions. Follow electrical documentation and engineering specifications to ensure compliance and product quality. Fabrication, Tooling & Process Improvement Design, prototype, and scale manufacturing jigs and fixtures to improve assembly and test efficiency. Help develop, document, and improve pressure vessel production processes. Support manufacturing workflow improvements and production requirements. Provide technical feedback to engineering and manufacturing teams. Quality, Documentation & Manufacturing Operations Maintain organized work areas using 5S practices . Perform part inspections, close work orders, and follow established safety procedures. Support tool and equipment maintenance and calibration tracking. Assist with raw material inventory management. Follow engineering drawings, electrical schematics, work instructions, and technical documentation. Maintain high standards of organization, accountability, and product quality. Offshore Operations Support Provide offshore operational support when required under the contract scope. Assist with field activities related to advanced underwater systems. Follow applicable technical and safety procedures during operational support. Required Qualifications 4–12 years of relevant electronics technician experience. Ability to perform detailed electromechanical assembly work involving tight tolerances and complex wire routing. Familiarity with electrical engineering principles and concepts. Strong understanding of the manufacturing lifecycle. Experience working from technical documentation, electrical schematics, and engineering drawings. Hands-on electrical debugging experience using equipment such as digital multimeters and oscilloscopes. Strong attention to detail, organization, accountability, and product quality. Excellent written and verbal communication skills. Ability to work with urgency and adapt to changing priorities. Eligibility to obtain and maintain an active U.S. Secret security clearance. Willingness to support offshore operations travel if required by the contract. Preferred Qualifications Experience with subsea robotics, AUVs, UUVs, or underwater equipment . Experience working with electrical systems up to 400 VDC . Avionics experience. Subsea cable splicing or fabrication experience. Experience with pressure vessels, pressure systems, or related equipment. IPC-A-610 and/or IPC/WHMA-A-620 certification . Familiarity with JIRA, Teamcenter, NetSuite, or equivalent systems. Experience in low-volume, high-mix manufacturing environments.

Location: United States We are seeking an experienced Contract Pressure Vessel Test Technician to operate and maintain the on-site hydrostatic test chamber, executing pressure testing on sealed vessels, housings, and pressurized components utilized in autonomous underwater vehicles (AUVs). These undersea platforms are flooded vehicle architectures, requiring electronics and water-sensitive subsystems to be housed inside individually sealed, pressurized enclosures. This contract engagement is responsible for validating the structural integrity and watertight sealing of these enclosures before integration into production hardware. The contractor will set up and execute technical test procedures, record and monitor pressure data, generate documentation packages, and interface directly with production and engineering stakeholders to confirm parts meet strict engineering specifications. SCOPE OF WORK (CONTRACT DELIVERABLES) · Hydrostatic Test Execution: Set up, operate, and monitor the hydrostatic test chamber to perform pressure testing on sealed vessels, housings, and related components. Follow established procedures to pressurize components to specified proof levels, maintain dwell times, and continuously monitor for pressure decay or leakage. · Test Setup and Fixturing: Prepare test articles by installing necessary fittings, plugs, seals, sensors, and fluid interfaces. Verify fixture and test setups prior to pressurization. Maintain and stage testing fixtures, high-pressure tooling, and supporting hardware. · Inspection and Anomaly Identification: Visually inspect components before, during, and after test sequences for leaks, seal degradation, weld flaws, structural anomalies, or other non-conformances. Accurately document and isolate all non-conforming conditions. · Data Recording and Quality Documentation: Maintain rigorous records of all test parameters, cycles, results, and observed conditions. Complete test logs, formal reports, and quality system documentation in accordance with standard operating procedures. Interpret precision pressure gauges and sensor data to ensure testing integrity. · Equipment Maintenance and Calibration Tracking: Perform routine preventative maintenance on the chamber, pumps, valves, high-pressure lines, and instrumentation. Flag equipment requiring repair, overhaul, or recalibration. · Safety and Environmental Compliance: Maintain strict compliance with safety guidelines governing high-pressure pneumatic and hydrostatic operations. Maintain clean and organized test bays, and promptly report any process anomalies or equipment hazards. · Cross-Functional Collaboration: Interface with production teams, quality assurance, and engineering personnel to align test schedules, communicate test outcomes, and assist in root-cause isolation for failed units. Provide technical feedback regarding recurring build anomalies or design considerations. · Process Improvement Support: Contribute technical input to improve test documentation, fixturing design, cycle times, and chamber throughput. REQUIRED QUALIFICATIONS · 4+ years of hands-on experience in testing, inspection, or manufacturing assembly environments. · Demonstrated experience with high-pressure testing (hydrostatic or pneumatic), leak detection methods, or comparable quality-verification testing. · Proficiency in reading and working directly from technical documentation, engineering drawings, and detailed test plans. · Strong procedural discipline and attention to detail when executing tests and recording empirical data. · Demonstrated mechanical aptitude working with high-pressure systems, pumps, high-pressure fittings, fluid manifolds, and instrumentation gauges. · Effective technical communication skills, both written and verbal, for documenting test reports and conveying results to engineering teams. · Eligible to obtain and maintain an active U.S. Secret security clearance. PREFERRED QUALIFICATIONS · Background in maritime, aerospace, or defense manufacturing environments. · Hands-on experience with hydrostatic proof, leak, or burst testing of sealed electronic enclosures or pressure hulls. · Familiarity with subsea robotics, AUVs, UUVs, or marine equipment. · Active or prior VT (Visual Testing) or PT (Penetrant Testing) inspection credentials. · Experience utilizing ERP or MES platforms for work order tracking and test data logging. · Current or previous certifications in overhead crane operation, rigging, or confined spaces. · Technical certificate, trade diploma, or Associate degree in a relevant technical or mechanical discipline. Contract Rate: $28.00 – $37.00/hour (commensurate with demonstrated skills and experience)

Location: United States ABOUT THE JOB We are looking for an Electronics Technician to join our team in Quonset, RI on a contract basis to support our Dive-XL platform. In this role, you will be working on cutting-edge technology aimed at advancing the state-of-the-possible in subsea robotics. You will play a key role in delivering our AUVs to our customers by working hands-on with our engineering team in a multi-disciplinary environment to scale our AUV production globally. This role will include building complex electromechanical assemblies. WHAT YOU'LL DO · Work within a team of multidisciplinary engineers and operations personnel on pressure vessel fabrication and assembly as part of overall AUV production integration · Fabricate complex wire harnesses, solder electronic modules (including PCBAs), and modify COTS components · Perform configuration tasks to flash/load correct SW/FW versions onto devices · Build, test, and integrate complex electrical assemblies into our world-class AUVs · Design, prototype, and scale manufacturing jigs and fixtures to improve build and test efficiency · Follow detailed electrical and manufacturing documentation to build to engineering specifications · Help develop, document, and improve the pressure vessel production process · 5S work areas, perform part inspections, close out work orders, and follow safety best practices · Support management of tools, equipment, and lab supplies (maintenance, calibrations, raw material stock) · Potential for travel offshore to support operations team as needed under the contract scope REQUIRED QUALIFICATIONS · 4-12 years of relevant electronics technician experience in fields such as Robotics, Defense, or Avionics · Capable of carrying out detailed electro-mechanical assembly work with tight-tolerance components/enclosures and complex wire routings · Familiarity with electrical engineering principles and concepts · Full understanding of the manufacturing life cycle · Experience working off of technical documentation, electrical schematics, and engineering drawings · Commitment to a high-quality product and strong sense of personal accountability · Ability to perform electrical debug including use of tools such as a digital multimeter, oscilloscope, etc. · Extremely organized and detail-oriented · Excellent verbal & written communication skills · Strong sense of urgency and enthusiasm · Eligible to obtain and maintain an active U.S. Secret security clearance PREFERRED QUALIFICATIONS · Experience in sub-sea robotics (AUVs, UUVs, underwater equipment) · Experience working with electrical systems up to 400VDC · Experience working in avionics · Subsea cable splicing or fabrication experience · Experience with pressure vessels and/or pressure systems/equipment · IPC 610 and/or 620 Certification · Prior experience working with JIRA, Teamcenter (PLM), or NetSuite (ERP) or equivalent · Experience with low volume/high mix manufacturing CONTRACT TERMS This is a contract (non-FTE) position with compensation paid on an hourly basis. Contract duration, renewal, and scope will be defined per the terms of the engagement agreement. US Hourly Range · 4–8 years of experience: $28 - $37/hour · 8–12 years of experience: $32 - $42/hour Hourly rate will be tailored to your individual qualifications, including job-related knowledge, skills, education, and experience, consistent with contract pay practices.

Location: United States ABOUT THE ASSIGNMENT We are seeking an experienced Contract Manufacturing Test Technician to support operations in Quonset, RI. In this engagement, you will work hands-on with cutting-edge technology aimed at advancing the state-of-the-possible in subsea robotics. You will support customer delivery milestones by interfacing with the engineering and operations teams in a multidisciplinary environment to assist in scaling AUV production. This contract scope focuses on executing tests on complex electromechanical assemblies and integrating verified hardware into final platforms. SCOPE OF WORK (DELIVERABLES) · Collaborate with multidisciplinary engineering and operations personnel on pressure vessel assembly and testing as part of overall AUV integration milestones. · Perform device configuration tasks, including flashing and loading specified SW/FW versions onto target hardware. · Build, test, and integrate complex electrical and mechanical assemblies into AUV systems. · Execute detailed subsystem End-of-Line (EOL) tests according to prepared test procedures and documentation. · Conduct incoming quality inspection testing on printed circuit board assemblies (PCBAs). · Troubleshoot, diagnose, and repair electrical, electronic, and integrated circuits down to the component level. · Support the refinement, documentation, and continuous improvement of pressure vessel production and test processes. · Maintain 5S standards across test benches/work areas, conduct physical part inspections, close out assigned work orders, and adhere strictly to facility safety protocols. · Assist with equipment upkeep, calibration tracking, tooling organization, and lab inventory maintenance. · Provide potential travel support for offshore field operations, testing, or vessel trials as project requirements dictate. REQUIRED QUALIFICATIONS · Solid technical background in electronics within relevant industries (Robotics, Defense, Aerospace, Avionics). · Proven track record of preparing, setting up, and executing rigorous test procedures with high attention to detail. · Working knowledge of core electrical engineering concepts and circuit theory. · Proficiency in reading and working directly from technical documentation, electrical schematics, wiring diagrams, and engineering drawings. · Demonstrated commitment to hardware reliability, test integrity, and personal accountability for deliverables. · Hands-on proficiency with standard electrical test equipment (DMMs, oscilloscopes, benchtop power supplies, function generators, etc.). · Strong organizational, documentation, and detail-oriented technical execution skills. · Clear and effective written and verbal communication skills. · Ability to work independently with initiative, adaptability, and high drive toward project deadlines. · Eligible to obtain and maintain an active U.S. Secret security clearance. PREFERRED QUALIFICATIONS · Prior experience in subsea robotics (AUVs, UUVs, or marine/underwater equipment). · Demonstrated experience safely handling electrical systems operating up to 400VDC. · Hands-on subsea cable splicing, potting, or custom harness fabrication experience. · Experience with hydrostatic test setups, pressure vessels, and/or high-pressure pneumatic/hydraulic systems. · Current or past IPC-A-610 and/or IPC/WHMA-A-620 certifications. · Familiarity with low-volume, high-mix (LVHM) or prototype-to-production manufacturing environments. CONTRACT HOURLY RATES · $25.00 – $37.00/hour (commensurate with demonstrated skills and experience)

Location: Quonset Point, United States SCOPE OF WORK Hydrostatic Test Execution: Set up, operate, and monitor the hydrostatic test chamber to perform pressure testing on sealed vessels, housings, and related components. Follow established procedures to pressurize components to specified proof levels, maintain dwell times, and continuously monitor for pressure decay or leakage. Test Setup and Fixturing: Prepare test articles by installing necessary fittings, plugs, seals, sensors, and fluid interfaces. Verify fixture and test setups prior to pressurization. Maintain and stage testing fixtures, high-pressure tooling, and supporting hardware. Inspection and Anomaly Identification: Visually inspect components before, during, and after test sequences for leaks, seal degradation, weld flaws, structural anomalies, or other non-conformances. Accurately document and isolate all non-conforming conditions. Data Recording and Quality Documentation: Maintain rigorous records of all test parameters, cycles, results, and observed conditions. Complete test logs, formal reports, and quality system documentation in accordance with standard operating procedures. Interpret precision pressure gauges and sensor data to ensure testing integrity. Equipment Maintenance and Calibration Tracking: Perform routine preventative maintenance on the chamber, pumps, valves, high-pressure lines, and instrumentation. Flag equipment requiring repair, overhaul, or recalibration. Safety and Environmental Compliance: Maintain strict compliance with safety guidelines governing high-pressure pneumatic and hydrostatic operations. Maintain clean and organized test bays, and promptly report any process anomalies or equipment hazards. Cross-Functional Collaboration: Interface with production teams, quality assurance, and engineering personnel to align test schedules, communicate test outcomes, and assist in root-cause isolation for failed units. Provide technical feedback regarding recurring build anomalies or design considerations. Process Improvement Support: Contribute technical input to improve test documentation, fixturing design, cycle times, and chamber throughput. REQUIRED QUALIFICATIONS 4+ years of hands-on experience in testing, inspection, or manufacturing assembly environments. Demonstrated experience with high-pressure testing (hydrostatic or pneumatic), leak detection methods, or comparable quality-verification testing. Proficiency in reading and working directly from technical documentation, engineering drawings, and detailed test plans. Strong procedural discipline and attention to detail when executing tests and recording empirical data. Demonstrated mechanical aptitude working with high-pressure systems, pumps, high-pressure fittings, fluid manifolds, and instrumentation gauges. Effective technical communication skills, both written and verbal, for documenting test reports and conveying results to engineering teams. Eligible to obtain and maintain an active U.S. Secret security clearance. PREFERRED QUALIFICATIONS Background in maritime, aerospace, or defense manufacturing environments. Hands-on experience with hydrostatic proof, leak, or burst testing of sealed electronic enclosures or pressure hulls. Familiarity with subsea robotics, AUVs, UUVs, or marine equipment. Active or prior VT (Visual Testing) or PT (Penetrant Testing) inspection credentials. Experience utilizing ERP or MES platforms for work order tracking and test data logging. Current or previous certifications in overhead crane operation, rigging, or confined spaces. Technical certificate, trade diploma, or Associate degree in a relevant technical or mechanical discipline.

Location: Quonset Point, United States WHAT YOU'LL DO Work within a team of multidisciplinary engineers and operations personnel on pressure vessel fabrication and assembly as part of overall AUV production integration Fabricate complex wire harnesses, solder electronic modules (including PCBAs), and modify COTS components Perform configuration tasks to flash/load correct SW/FW versions onto devices Build, test, and integrate complex electrical assemblies into our world-class AUVs Design, prototype, and scale manufacturing jigs and fixtures to improve build and test efficiency Follow detailed electrical and manufacturing documentation to build to engineering specifications Help develop, document, and improve the pressure vessel production process 5S work areas, perform part inspections, close out work orders, and follow safety best practices Support management of tools, equipment, and lab supplies (maintenance, calibrations, raw material stock) Potential for travel offshore to support operations team as needed under the contract scope REQUIRED QUALIFICATIONS 4-12 years of relevant electronics technician experience in fields such as Robotics, Defense, or Avionics Capable of carrying out detailed electro-mechanical assembly work with tight-tolerance components/enclosures and complex wire routings Familiarity with electrical engineering principles and concepts Full understanding of the manufacturing life cycle Experience working off of technical documentation, electrical schematics, and engineering drawings Commitment to a high-quality product and strong sense of personal accountability Ability to perform electrical debug including use of tools such as a digital multimeter, oscilloscope, etc. Extremely organized and detail-oriented Excellent verbal & written communication skills Strong sense of urgency and enthusiasm Eligible to obtain and maintain an active U.S. Secret security clearance PREFERRED QUALIFICATIONS Experience in sub-sea robotics (AUVs, UUVs, underwater equipment) Experience working with electrical systems up to 400VDC Experience working in avionics Subsea cable splicing or fabrication experience Experience with pressure vessels and/or pressure systems/equipment IPC 610 and/or 620 Certification Prior experience working with JIRA, Teamcenter (PLM), or NetSuite (ERP) or equivalent Experience with low volume/high mix manufacturing

Location: Quonset Point, United States SCOPE OF WORK (DELIVERABLES) Collaborate with multidisciplinary engineering and operations personnel on pressure vessel assembly and testing as part of overall AUV integration milestones. Perform device configuration tasks, including flashing and loading specified SW/FW versions onto target hardware. Build, test, and integrate complex electrical and mechanical assemblies into AUV systems. Execute detailed subsystem End-of-Line (EOL) tests according to prepared test procedures and documentation. Conduct incoming quality inspection testing on printed circuit board assemblies (PCBAs). Troubleshoot, diagnose, and repair electrical, electronic, and integrated circuits down to the component level. Support the refinement, documentation, and continuous improvement of pressure vessel production and test processes. Maintain 5S standards across test benches/work areas, conduct physical part inspections, close out assigned work orders, and adhere strictly to facility safety protocols. Assist with equipment upkeep, calibration tracking, tooling organization, and lab inventory maintenance. Provide potential travel support for offshore field operations, testing, or vessel trials as project requirements dictate. REQUIRED QUALIFICATIONS Solid technical background in electronics within relevant industries (Robotics, Defense, Aerospace, Avionics). Proven track record of preparing, setting up, and executing rigorous test procedures with high attention to detail. Working knowledge of core electrical engineering concepts and circuit theory. Proficiency in reading and working directly from technical documentation, electrical schematics, wiring diagrams, and engineering drawings. Demonstrated commitment to hardware reliability, test integrity, and personal accountability for deliverables. Hands-on proficiency with standard electrical test equipment (DMMs, oscilloscopes, benchtop power supplies, function generators, etc.). Strong organizational, documentation, and detail-oriented technical execution skills. Clear and effective written and verbal communication skills. Ability to work independently with initiative, adaptability, and high drive toward project deadlines. Eligible to obtain and maintain an active U.S. Secret security clearance. PREFERRED QUALIFICATIONS Prior experience in subsea robotics (AUVs, UUVs, or marine/underwater equipment). Demonstrated experience safely handling electrical systems operating up to 400VDC. Hands-on subsea cable splicing, potting, or custom harness fabrication experience. Experience with hydrostatic test setups, pressure vessels, and/or high-pressure pneumatic/hydraulic systems. Current or past IPC-A-610 and/or IPC/WHMA-A-620 certifications. Familiarity with low-volume, high-mix (LVHM) or prototype-to-production manufacturing environments.

Location: New York, NY (HQ) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE People Programs at Ramp builds the programs that shape how employees experience the company day to day; from someone's first week to the moments that define Ramp's culture company-wide. As Ramp scales, we need someone dedicated to building that function and taking our foundations to the next level. In this role, you'll own programs like onboarding, manager enablement, engagement surveys, and the company-wide culture and recognition programs that shape how Ramp works, to name a few. You'll work closely with People Business Partners, People Operations, and Comms to make these programs land and thrive. This work is high impact and high visibility. This is a hands-on, build-from-scratch role for someone with strong judgment who owns things fully. WHAT YOU'LL DO - Build your own roadmap by pulling signal from engagement survey results, PBP and manager input, and People Ops, then make the call on what to build, improve, delegate, or stop. - Own onboarding effectiveness — from pre-start through the first week — so every new hire's first experience of Ramp reflects how we work and our culture, partnering with People Ops and IT on day-to-day logistics - Own the performance review cycle's program design — timeline, tools, and the manager/employee experience — partnering with PBPs on calibration and outcomes - Build and own manager enablement as a standalone program: design the content, frameworks, and moments that help managers lead well, in partnership with PBPs on delivery - Conceive, build, and run company-wide culture-building programs, fully owning logistics and content end-to-end - Own recognition programming: how we surface and celebrate what's worth celebrating across the company and the rituals/milestones that make Ramp's culture tangible day to day - Own the biannual engagement survey: design, run, and work with People Business Partners to translate results into action - Be the trusted voice on what we should build in-house versus buy (tools, vendors, platforms) for people programs, grounded in judgment about what's worth the investment, not a default toward either WHAT YOU NEED - 5+ years owning people/culture programs end-to-end at a high-growth company - from ideation through hands-on execution - A builder's track record: you've created programming that didn't exist before, not adapted someone else's playbook - Strong facilitation and executive presence. You’re comfortable being the face of a program in front of the whole company, not just behind the scenes - Comfortable with data: you can read engagement survey results and program metrics and turn them into a point of view, not just a report - Proven ability to partner across functions (PBPs, Comms, Enablement, leadership) - First-principles thinker who can turn ambiguity into a scalable framework: you don't need a rule book, but you can build one when it's missing BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Gurgaon, India Workplace: remote About Welo Data Welo Data, a Welo Global brand, is the multilingual data and evaluation partner for foundation labs and enterprises deploying GenAI systems globally. They deliver the human judgment, data infrastructure, and evaluation systems that ensure AI models perform reliably across languages, cultures, and real-world contexts, at every stage from training through deployment.  Its global network of 500,000+ vetted experts spans 300+ languages and locales, enabling high-quality multilingual data creation and structured model evaluation across the full spectrum of modern AI applications — from large language models and voice and speech systems to agentic workflows and robotics and embodied AI. This breadth of linguistic, cultural, and domain expertise enables Welo Data to address critical AI development challenges, including safety, bias, inclusivity, and cross-lingual reliability. A unified global operating model, led by specialized program and quality experts and grounded in assessment-driven talent selection, localized rubrics, and continuous calibration, ensures consistent performance across languages, domains, and modalities. Underpinning all of this is NIMO™ (Network Identity Management and Operations), Welo Data's proprietary identity and fraud-prevention framework. Built to maintain data integrity and workforce trust across a global contributor base, NIMO combines advanced verification, continuous monitoring, and structured QA to ensure every dataset is accurate, traceable, and culturally grounded. welodata.ai    About the Team  Welo Data's Trust & Safety function protects the integrity of a global, distributed workforce that powers AI data and annotation work. We run a multi-layered fraud detection stack combining identity verification checks, in-house behavioral signals, and platform activity data, and are actively building out a Trust & Safety Committee spanning four core workstreams: identity verification, location verification, account integrity, and multi-accounting detection. This is a hands-on investigative role, not a policy-only seat — you'll be working live cases from day one.  About the Role  We're looking for a Trust & Safety Specialist, based in India, to join our investigations team, working active fraud cases and supporting the broader fraud strategy program. You'll come in with real T&S, fraud/risk, or identity-verification experience from another platform, marketplace, gaming company, fintech, IDV vendor, or crowdsourced-workforce environment, and be ready to run investigations, process removals, and spot fraud patterns from week one. What You Will Do Run investigations end-to-end: triage flagged accounts, review evidence (identity signals, behavioral flags, platform activity data), reach a disposition, and process removals in line with policy and SLA. Own IDV review: verify identity and location signals for flagged or high-risk accounts, distinguishing genuine edge cases from fraud. Conduct manual audits and reviews: prioritizing cases by risk and signal strength rather than intake order. Detect multi-accounting and account integrity abuse: recognize patterns across linked accounts, device/location overlap, and behavioral signals. Apply a hypothesis-driven investigation method: form a hypothesis, test it against the evidence, and reach a disposition that can be replicated and audited. Contribute to detection improvement: escalate emerging fraud vectors, false-positive/false-negative patterns, and rule gaps to the fraud strategy team. Handle sensitive data responsibly: apply GDPR-aligned data handling and deletion practices in every case. Collaborate cross-functionally: partner with Research Labs, Quality Strategy Architecture (QSA), and Forward Deployment Engineering on tooling gaps and process fixes surfaced by your casework What You Bring (Must Have-s) 4+ years in a T&S, fraud/risk, or identity-verification investigations role — from a platform/marketplace T&S team, a fintech/payments risk team, an identity-verification vendor, or a crowdsourced/gig-workforce trust function. Direct experience with identity/fraud signals — device fingerprinting, IP/geolocation checks, document verification, or behavioral fraud scoring. Multi-accounting / account integrity pattern recognition — you've dealt with linked-account abuse, farming, or account sharing before, not just single-account review. Case documentation discipline — you write clean, evidence-backed case notes that would survive an audit or an appeal. Comfort with ambiguity and volume — you can prioritize a queue by risk, not just clear it by count. Working knowledge of data privacy obligations (GDPR or equivalent) as they apply to case handling and data retention/deletion. Nice to Have Experience specifically in AI/ML data annotation, RLHF, or research operations workforce platforms. Exposure to rule-based fraud detection engines and an opinion on rule sprawl vs. signal quality. Familiarity with clustering/anomaly-detection approaches to fraud (even at a conceptual level). Case management system experience (any ticketing or knowledge-base tooling). Recommended Education Bachelor's degree in Criminology, Law, Criminal Justice, Cybersecurity, Information Security, Data/Computer Science, or a related field. Equivalent practical experience in T&S, fraud investigations, or identity verification will be considered in place of a degree. Relevant certifications are a plus: CFE (Certified Fraud Examiner), CAMS (Certified Anti-Money Laundering Specialist), or IDV/identity risk vendor certifications.

Location: Austria; France; Germany; Italy; Netherlands; Poland; Spain; United Kingdom Why Kimchi? Great models are raw ingredients. Kimchi is what happens when you ferment them with good engineering. We started inside CAST AI helping companies run LLMs on their own Kubernetes clusters; today we run our own coding harness on any model you pick, and the router deciding which model answers each request is ours too. The Auto Router Our promise is one enforcement layer for your AI: budgets, spend attribution, and model routing, applied before a request ever hits a model. The Auto Router makes the call: for every request, which model serves it. Eight open-source models whose input prices span more than 20×, cached input up to 50× cheaper than fresh, frontier providers on customers' own keys, and a coding agent that fires hundreds of requests before its task is done. Frontier-level task success at a fraction of the token cost: that sentence is the product, and it stays true only if the model inside the router keeps getting better. That model is yours. Made by Cast AI — a Miami-headquartered, globally distributed team across 34 countries that hit unicorn status in January 2026 with a $50B+ backed investment pushing its valuation past $1 billion. About the role Every request gets a decision: which model serves it. This is an applied-ML seat, not an infrastructure one. Platform engineers own the proxy, the streaming path, and the fleet. You own the model inside them: the training data, the objective, the evaluation, and the iteration loop that ships a better router every cycle. The problem: routing is a prediction problem wearing a product's clothes. For every request you predict the quality each candidate model would deliver, what it would cost, and how fast it would decode, and you have to be right enough, in aggregate, that the savings are real and the quality never dips below frontier. The data is messy: rollout outcomes from benchmark harnesses, per-request records from the live fleet, override signals, and token streams whose speed depends on the serving concurrency at the moment. Speed itself is a correctness variable: on deadline-bound agentic work, a model that decodes three times slower doesn't do the same work slower, it does less work. That's why naive cost-per-token objectives quietly optimize for the wrong thing. And the bar for evidence is high: a router change ships only after production-parity evaluation with error bars, then gets held to its numbers in live traffic. Stack: Python; PyTorch; SQL at scale (ClickHouse); OpenAI- and Anthropic-compatible LLM APIs; benchmark and rollout harnesses (RouterBench-class); GitLab CI. Requirements You've spent 5+ years in applied ML or ML research, and you've trained, evaluated, and shipped models that make real-time decisions (ranking, recommendation, bandits, pricing, or LLM routing) and you can tell that story with receipts. Strong Python and SQL at scale: you can pull, clean, and interrogate millions of request-level records without waiting on anyone. You know the difference between a model that got better and an eval that got easier. You have real opinions about what LLM benchmarks measure, agentic harnesses included. You know enough serving reality (TTFT, decode speed, batching, prefix caching, concurrency) to model the objective honestly. You instrument before you optimize, error bars and all. A wide mandate excites you more than it unsettles you. Nice to haves You've worked on LLM routing specifically: RouterBench-class evals, cost/quality/latency Pareto fronts. Calibration, abstention, or conformal methods in production decision systems. You've run online A/B loops with drift monitoring on a model that touches real money. Responsibilities Own the routing model end to end: features, objective, training, calibration, and release cadence. Iterate it like a product, not a research artifact. Build the evaluation that gates every change: production-parity benchmarks, router-vs-router comparisons, holdouts by task family, error bars on pass rates. Nothing ships on vibes. Turn fleet data into training signal: per-request outcomes from production, benchmark rollouts, and override feedback, with failure categorization (infra vs task) so poisoned labels never reach the policy. Model the objective the user actually experiences: task success × token cost × wall-clock speed under the real concurrency regime, with cached-input economics in the picture. Run the online loop: shadow, A/B, full rollout, drift monitoring, retrain. When production disagrees with your offline eval, you find out why before the next ship. Push the frontier where it pays: calibrated decisions, abstention under uncertainty, speed-aware routing. We experiment on what a router should be, not just which model it picks today. Partner with platform engineers on instrumentation: the features and labels recorded per request (decode speed first-class among them) and the experiments the data path must support. What’s in it for you? Competitive salary (depending on the level of experience). Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology Equity options. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Location: Austria; France; Germany; Italy; Netherlands; Poland; Spain; United Kingdom Why Kimchi? Great models are raw ingredients. Kimchi is what happens when you ferment them with good engineering. We started inside CAST AI helping companies run LLMs on their own Kubernetes clusters; today we run our own coding harness on any model you pick, and we run the models underneath it ourselves. Kimchi Inference One API line and a customer's existing client just works: DeepSeek, GLM, Kimi, MiniMax, Nemotron served serverless from our own GPU fleet (OpenAI- and Anthropic-compatible, pay per token, spend visible per user, team, and key). When control matters, the same models run on the customer's own cluster instead. Behind that one line sits the machinery you'll own: SGLang and vLLM engines, B300 nodes, a shared cluster filesystem that holds every checkpoint exactly once, KV caches riding coding traffic with heavy prefix reuse, and the benchmark harness that gates every change we ship. Made by Cast AI — a Miami-headquartered, globally distributed team across 34 countries that hit unicorn status in January 2026 with a $50B+ backed investment pushing its valuation past $1 billion. About the role Throughput. Latency. Cold starts. Cost per token. Move those four numbers in the right direction and two things happen: customers get faster, cheaper inference, and our margins improve. That's the entire thesis of this role. Every loader you tune, every scheduler decision you land, every kernel you stare at shows up in a customer's p99 and on our P&L. Your mandate is the inference stack's optimization, whatever it takes, and the technical direction of how we optimize it is yours to argue with data. The problem: the checkpoints run 0.3-1.5 TB, and the "right" serving configuration depends on traffic shape, sequence-length distribution, batch dynamics, GPU SKU, memory bandwidth, and quantization tolerance, all variables that shift week to week. Most teams pick a configuration once, over-provision GPUs, and absorb the cost. We don't: we took Kimi-K3 (1.5 TB) from over an hour cold-to-serving to under twelve minutes with a shared filesystem, O_DIRECT weight loaders, and node-local JIT caches, and we're nowhere near done. Prefill/decode disaggregation and tiered KV caches are next. Stack: Python; SGLang; vLLM; TensorRT-LLM; PyTorch; fastsafetensors; CUDA-adjacent tooling; Kubernetes; virtiofs shared filesystems; ClickHouse; OpenTelemetry; Prometheus; Grafana; GitLab CI. Requirements You've built real ML systems for 5+ years, and your portfolio shows depth in inference or training infrastructure, not just model training notebooks. Your Python is production-grade: services, not scripts. You've run vLLM, SGLang, or TensorRT-LLM for real, and you have a working mental model of why an engine performs the way it does on a given GPU. You've measured quantization regressions, not just compression ratios. Multi-GPU and multi-node setups hold no fear: tensor and expert parallelism, collective communication, and their practical failure modes. You know where the bytes live (page caches, O_DIRECT, network filesystems under terabyte-scale reads) and how fast they move. You instrument before you optimize, and you can tell a real win from a benchmark artifact. A wide mandate excites you more than it unsettles you. Nice to haves You've worked on LLM routing specifically: RouterBench-class evals, cost/quality/latency Pareto fronts. Calibration, abstention, or conformal methods in production decision systems. You've run online A/B loops with drift monitoring on a model that touches real money. Responsibilities Push throughput. Continuous batching, chunked prefill, speculative decoding with draft models, CUDA-graph capture, and scheduler tuning across the engine fleet. Find the ceiling on each GPU SKU, then raise it. Cut latency. Attack TTFT and inter-token latency separately; profile to find the actual bottleneck (compute, memory bandwidth, scheduling, storage, or network) and fix it, not the one you assumed. Get more out of the KV cache. Hierarchical and paged attention, prefix caching on heavy-reuse coding traffic, eviction policies, quantized KV. A lot of the unrealized throughput lives here, and you'll own it. Kill cold starts. Weight loaders (O_DIRECT, fastsafetensors-class), JIT and compile caches, shared-filesystem read paths. A 1.5 TB checkpoint has no business taking an hour to reach serving. Quantize without regressing quality. INT8/INT4, FP8/FP4 across weights, activations, and KV, measured on real workloads, not just perplexity benchmarks. Scale across nodes. Distributed inference topologies, network-aware placement, prefill/decode disaggregation, checkpointing strategies that don't bottleneck on storage or interconnect. Set the technical direction. Decide what we benchmark, what we adopt, and what we build ourselves. Bring the team along with strong writeups and reproducible experiments. What’s in it for you? Competitive salary (depending on the level of experience). Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology Equity options. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Location: Canada, Vancouver, BC Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are on a mission to redefine robotics by creating humanoids that mimic human dexterity, precision, and flexibility. As a Robotics Prototype Engineer, you will play a key role in assembling, testing, and validating cutting-edge humanoid robots. This position requires strong technical expertise in robotic assembly, sensor calibration, and the ability to collaborate closely with engineers to troubleshoot and optimize robotic humanoid systems. If you're passionate about hands-on work with high-tech robotic systems and contributing to the next generation of humanoid robots, we'd love to hear from you. WHAT YOU’LL DO - Assembly and Integration: Assemble and integrate robotic end-effectors, ensuring all components (actuators, sensors, and electro-mechanical parts) function correctly. - Testing and Troubleshooting: Perform rigorous testing to evaluate the robotic components. Troubleshoot and resolve hardware and software integration issues. - Calibration: Calibrate sensors and commission actuators to achieve optimal performance with respect to the system requirements and expected outcomes. - Prototyping and Development: Assist the R&D team in prototyping new robotic designs by providing feedback, assembling prototypes, and testing new components. - Technical Support: Provide hands-on support for mechanical and electrical engineers in integrating actuators and sensors into the humanoid robot. Provide support worldwide. - Documentation: Document test results, system issues, failure analyses, and corrective actions. Create technical manuals, SOP and maintenance guides for robotic systems. - Maintenance and Upgrades: Perform routine maintenance and upgrades on robotic subassemblies on a system level, ensuring continuous performance and durability. - Collaboration: Work closely with the mechanical, electrical, and firmware teams to address issues related to electro-mechanical performance and sensor feedback. - Equipment and Inventory Management: Maintain specialized tools, equipment, and components. Ensure that inventory levels of critical parts such as actuators and sensors are regularly checked and replenished. Maintain a clean and organized workspace. WE’RE LOOKING FOR - Education: Bachelor’s degree in Robotics, Mechatronics, or a related engineering field. - 3+ years of experience in assembling, testing, and troubleshooting robotic systems, with a focus on precision mechanics, custom electronics, and sensor integration. - Strong proficiency in assembling robotic components and integrating complex mechanical and electrical systems. - Hands-on experience with fine-pitch soldering and thin cable assembly techniques. - Familiarity with calibrating actuators, sensors, and robotic control system applications. - Collaboration: Excellent communication and teamwork skills, with the ability to work closely with cross-functional teams. - Problem-Solving: Strong analytical and troubleshooting skills with the ability to diagnose issues and implement corrective actions efficiently. - Attention to Detail: High attention to detail in handling delicate components and ensuring precise assembly of complex systems. BONUS QUALIFICATIONS - Experience with Robotics: Background in humanoid robot development, particularly in hand/arm systems or robotic manipulation. - Prototyping Skills: Experience with rapid prototyping tools such as 3D printing from FDM and SLA Resin, CNC machining, or laser cutting for robotic component fabrication. - Sensor Knowledge: Familiarity with tactile sensors, force sensors, various actuator encoders, and other sensory technologies used in robotics. - Actuators and Motors: Experience with motor control drive systems, drive tuning, motor performance analysis, encoder protocols, drive safety protocols and system wiring. - Human-Robot Interaction (HRI): Knowledge or experience in designing for human-robot interaction, especially in contexts where robots handle delicate or interactive tasks. - Advanced Tools: Experience working with specialized robotic testing equipment and tools, such as precision measuring instruments, environmental testing equipment. WHAT WE OFFER - Comprehensive extended health benefits starting on your first day, including fully paid medical and dental, virtual care, employee and family assistance, and worldwide emergency medical support. - Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays. - Paid end-of-year shutdown: annual company-wide holiday closure spanning Christmas through New Year’s Day. - Competitive equity: stock options with meaningful upside as we scale. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives. For this role in Vancouver, the expected base salary range is $80,000–$95,000 CAD per year; your placement in that range depends on how your experience maps to our internal leveling.

Location: Valencia Workplace: OnSite ROLE HIGHLIGHTS - Satellite Systems, Software Verification Team Lead - Location: Valencia, Spain - Department: Global Manufacturing Organisation - Reports to: Maite Manager - Employment type: Permanent - Workplace model: Office - Employment is subject to applicable security screening (incl. SUPO, where required) ABOUT THE ROLE We are looking for an Satellite Systems, Software Verification Team Lead to own the final verification of our satellites, the stage where an integrated spacecraft is proven to work. Once a satellite has been integrated, your team takes over. You’ll lead satellite-level functional and end-to-end checkout, onboard software loading and validation, and RF testing in our anechoic chamber, with a team of 5 technicians across systems, software and RF. This is a hands-on leadership role. You’ll spend real time with your team at the satellite, troubleshooting, unblocking issues and improving how we test. ICEYE is scaling satellite production fast, so you’ll also build the processes, tools and KPIs that let verification keep pace without compromising quality. We’re looking for a strong electronics engineer who is comfortable with software and enjoys leading people. Space experience is a plus, not a requirement. If you’ve led hands-on electronics testing in a demanding industry such as aerospace, defence, automotive or power electronics, we’ll help you learn the space-specific parts.   Who We Are ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.   ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.   ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.   Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. YOUR DAY-TO-DAY RESPONSIBILITIES Leading Satellite Verification - Own satellite-level verification after integration: functional and end-to-end system checkout - Prove that all onboard systems (power, avionics, software, RF) perform reliably in full configuration - Be hands-on: lead troubleshooting, isolate faults, unblock issues and keep momentum Owning Software in Verification - Own onboard software loading, validation and checkout during production verification - Maintain and improve test scripts, test automation and software-supported verification flows - Work with AIT Engineering on software-related issues, telling software faults apart from hardware faults Overseeing RF Testing - Make sure RF testing of the satellite in the anechoic chamber is planned, executed and reported to standard, working with the RF specialists in your team - Keep RF test benches and chamber setups maintained, calibrated and compliant Quality, Traceability & Compliance - Plan, execute and report system-level functional tests and inspections - Maintain configuration control, build discipline and full traceability - Ensure compliance with applicable aerospace quality standards such as ECSS - Identify key non-conformances, escalate critical issues and drive resolution of the most impactful ones, supporting root cause analysis led by AIT Engineering Building Scalable, Repeatable Processes - Develop work instructions, test procedures and checklists with AIT Engineering and Quality - Turn unclear inputs into clear, usable processes and reduce tribal knowledge - Increase throughput and reduce rework while protecting quality Leading & Developing the Team - Lead, coach and grow a multidisciplinary team of engineers and technicians - Build a culture of ownership, accountability and pride in the product - Teach structured fault diagnosis and test best practices Working Across Teams - Be the bridge between verification and engineering (systems, software, RF, AIT) - Collaborate with Quality, Planning, Supply Chain and the two other production teams (Integration/Mechanical & Thermal; Electronics) - Prepare verification for higher volumes; define and track KPIs WHAT WE'RE LOOKING FOR You don’t need to tick every box. If you have most of the must-haves and the role excites you, we’d like to hear from you. Must-haves - A degree in electronics, telecommunications or electrical engineering, or equivalent hands-on experience - Hands-on experience testing, validating or verifying complex electronic systems, at unit or system level - Working software knowledge: scripting (ideally Python), loading and configuring software on hardware, version and configuration control - Experience leading or coordinating a technical team in a hands-on environment - Ability to read schematics, assembly drawings and test procedures - Clear communication with engineers, technicians and stakeholders, in fluent English Nice-to-haves - Experience in space, aerospace, defence or another high-reliability industry - RF test experience (spectrum or network analysers, signal generators, anechoic chambers) - Familiarity with ECSS, NASA-STD or similar standards (such as DO-178C, ISO 26262 or EN 50128) - Test automation frameworks (such as TestStand, LabVIEW or pytest) - Experience scaling a test or production process   WHAT SUCCESS LOOKS LIKE - Every satellite is verified reliably, predictably, and to standard before it ships - RF, system, and software verification processes are clear, structured, and scalable - Problems are isolated and solved at the root, not patched - The team takes full ownership of verification quality and traceability - Verification keeps pace with ICEYE's growth   WHY THIS ROLE IS INTERESTING - You own the moment of truth, proving the satellite works end-to-end - You'll bring RF, systems, and software verification together under one scope - You'll shape how verification is done, not just follow existing processes - You'll work at the intersection of engineering and production, where decisions have immediate impact APPLICATION PROCESS - Talent Acquisition Interview - Hiring Manager General Interview - Technical Interview, including a Technical Challenge - Peer & Culture Interview - VP Interview WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. Base salary range for this position is dependent on experience, and will be negotiated individually. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Canada, Vancouver, BC Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE As a Senior Test and Validation Engineer at Humanoid, you will be responsible for bringing new hardware subsystems into a functional, controllable, measurable, and integration-ready state, including calibration, tuning, characterization, and modeling across actuators, hand/gripper mechanisms, and integrated robotic assemblies. You will work closely with mechanical design, firmware, controls, manufacturing, and system integration teams to diagnose unstable behavior, define the right parameters and models, and accelerate hardware maturity for upstream controller and software development. WHAT YOU’LL DO - Design, plan, and execute test procedures for actuators, mechanisms, grippers, and robotic hands. - Build and maintain test fixtures and test rigs for dynamic and endurance testing. - Tune and calibrate sensors like encoder and control loops in the driver, including current, velocity, and position control, and verify stability conditions. - Develop subsystem characterization methods and identify key parameters such as torque constant profile, friction, inertia, backlash, stiffness, thermal behavior, and efficiency. - Design, plan, and execute test procedures for actuators, mechanisms, grippers, and robotic hands. - Build and maintain test fixtures and test rigs for dynamic and endurance testing. - Develop automated test systems (hardware + software) to validate motor performance, force output, back drivability, and safety limits. - Conduct lifecycle, stress, thermal, and environmental tests on components and subsystems. - Analyze test results, create test reports, and drive design feedback loops with engineering teams. - Collaborate with design engineers to define testable requirements, tolerances, and performance metrics. - Support incoming QC, assembly-level verification, and field failure diagnostics. - Maintain test documentation, protocols, and results databases. - Work closely with control and firmware teams to evaluate actuator behavior in closed-loop scenarios. WE’RE LOOKING FOR - Master’s or PhD degree in Mechanical, Mechatronics, Electrical Engineering, Robotics, or a related field. - 5+ years of experience with robotic hardware, controls, actuator characterization, system commissioning. - Hands-on experience with motors, actuators, encoders, force/torque sensors, and hardware instrumentation. - Strong troubleshooting ability and comfort working through ambiguous or unstable hardware problems. - Experience with calibration, parameter identification, modeling, and mathematical optimization. - Proficient with tools such as Python (preferred), MATLAB, or C++ for data capture, analysis, and model fitting using OOP(Object Oriented Programming). - Comfortable with mechanical tools, instrumentation, and prototyping in lab environments. - Strong understanding of safety testing, failure modes (FMEA), and reliability analysis. - Excellent documentation, communication, and cross-functional collaboration skills. - Familiarity with data acquisition systems (DAQ) and tools such as LabVIEW, Python, or MATLAB. BONUS QUALIFICATIONS - Experience with strain-wave gear, planetary gear, or custom robotic actuators. - Experience with robotic hands, grippers, underactuated mechanisms, or tendon-driven systems. - Experience with and complete understanding of commercial BLDC drivers. - Familiarity with low-level control development, parameter identification, or dynamic modeling for electromechanical systems. - Knowledge of EtherCAT, EtherNET, or related motion control DS402. - Experience supporting integrated arm or leg bring-up on larger robotic platforms. WHAT WE OFFER - Comprehensive extended health benefits starting on your first day, including fully paid medical and dental, virtual care, employee and family assistance, and worldwide emergency medical support. - Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays. - Paid end-of-year shutdown: annual company-wide holiday closure spanning Christmas through New Year’s Day. - Competitive equity: stock options with meaningful upside as we scale. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives.

Location: Sudbury, Ontario, Canada Laboratory Technician About the Company In the coming decades, demand for critical minerals such as copper, lithium, and cobalt will continue to grow. These minerals are needed to build electric infrastructure, vehicles, data centers, and electronics. However, the mining industry is making 10x fewer discoveries per dollar spent on exploration compared to 30 years ago because the easy-to-find, near surface deposits have largely been discovered. KoBold was founded to be the first AI native mineral exploration, mine development, and technology development company. Our goal is to turn mineral exploration into a repeatable science to discover the minerals the world needs—by integrating artificial intelligence, human intelligence, and new technology. Our multidisciplinary teams of data scientists, engineers, and geologists work together to build data systems, design new sensors, and establish industry-leading workflows to develop and test subsurface predictions on our exploration projects. Our first discovery, Mingomba, is a high-grade copper deposit in Zambia, found after spending materially less than industry average. We are developing Mingomba with the same technical rigor that we apply to exploration. The Mingomba team brings together mine and processing engineers, geologists, data scientists, software engineers, and community, health & safety, construction, and operations specialists. By combining industry knowledge and cutting edge technology, we are developing Mingomba into a world class project that has safer and more predictable outcomes for ourselves, partners, and communities. It is expected to create thousands of good jobs for generations. KoBold runs exploration programs in eight countries, all with the potential for another discovery. KoBold is privately held; investors include institutional asset managers T. Rowe Price and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Breakthrough Energy Ventures, BOND Capital, Durable Capital, StepStone, and Standard Investments; and strategic natural resources companies BHP and Mitsubishi. About the Role GrainLab is KoBold's mineral grain identification lab in Sudbury, Ontario. We combine microscopic and various analytical methods to find and confirm indicator minerals in heavy mineral concentrate (HMC) samples. The samples are delicate and are required to be returned in the same condition, packaging and weight it arrived as, so careful sample handling and accurate weighing are central to the job. As GrainLab's Laboratory Technician, you will keep the daily sample workflow moving. You will receive and weigh samples, log them in our laboratory information management system (LIMS), prepare imaging trays, and load samples onto our instruments to start imaging and spectroscopy runs. At the end, you will recover every grain and return each sample to its original packaging. You will report to the Sudbury Laboratory Manager and work with KoBold's hardware, data science, software team members. Your observations from the bench will directly shape mineral exploration efforts. This role suits someone who takes pride in precise, repeatable work, who notices when a number looks wrong, and who wants to see how modern data science is changing mineral exploration. Responsibilities Sample receipt, tracking and chain of custody Receive incoming client samples; check labels, packaging and paperwork against submission records; report any discrepancies to the Lab Manager. Weigh samples on precision balances at defined workflow steps and record the results accurately in the LIMS, using barcode scanners, label printers and balance integration. Maintain chain of custody from receipt to return, so every sample can be located and traced at all times. Run mass-balance checks at each step, confirm that every sample meets its return-weight tolerance, and escalate any deviation immediately. Tray preparation and instrument workflows Load mineral grains into small imaging trays with a volumetric scoop to a consistent fill level, following standard operating procedures (SOPs). Exceptional candidates can also help write and develop SOPs. Use tray covers and vibration steps to settle grains evenly without losing material. Load and unload trays on our digital microscope (Keyence VHX series), and start and monitor automated imaging runs. Load and unload samples on our Raman spectrometer (Renishaw inVia) so that grains selected by our computer-vision model can be confirmed. Keep instruments, trays and work surfaces clean to prevent cross-contamination and grain loss. Sample recovery and return Recover grains from trays after analysis and return each sample to its original packaging with its original labels. Do final weighing and LIMS close-out before samples are released. Data quality, safety and continuous improvement Enter data accurately in the LIMS, and flag mislabelled, damaged or out-of-tolerance samples. Follow all KoBold health, safety and quality procedures, and wear the required personal protective equipment (PPE). Do routine housekeeping, basic equipment care and consumables tracking. Give feedback to the hardware, software, data science and LIMS teams on workflow bottlenecks, tool usability and possible improvements. Help write and update SOPs as the lab's workflows mature. Other related duties as assigned by the Lab Manager. Qualifications (Required) Intellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain. Enjoys constantly learning such that you are driving insights through using our tools in exploration and willing to work directly with geologists in the field. One of the following: a laboratory technician diploma (e.g., chemical, geological or laboratory technology); or a BSc in a relevant field such as geology, earth sciences, chemistry, materials science or physics; or equivalent hands-on laboratory experience. Ability to explain technical problems to and collaborate on solutions with domain experts who are not geologists (e.g.  software engineers). A strong communicator who enjoys working with colleagues across the company. Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on an evolving range of responsibilities. Keen not just to build cool technology, but to figure out what technical product to build to best achieve the business objectives of the company. A valid passport and willingness to travel to observe our work at Mingomba or at an exploration site around the world. Travel for this role typically does not exceed one trip per year. Strong attention to detail, with a track record of accurate weighing, measurement, record-keeping or data entry. Ability to follow written SOPs precisely and consistently, including for repetitive, high-precision tasks. Good hand-eye coordination and fine motor control for handling small trays and sub-millimetre mineral grains. Comfortable with computers and with learning new software, including database-style data entry. Clear written and spoken communication in English, and willingness to raise problems early. A strong commitment to workplace health and safety. Ability to work on-site in Sudbury, Ontario, on a regular day-shift schedule. Legal authorization to work in Canada. Nice-to-Haves General experience in a geology/chemistry laboratory including rock sample handing. Experience with optical or digital microscopes. Experience with a LIMS, sample tracking, or chain-of-custody procedures in a commercial, mining or university lab. Experience with analytical or precision balances, including routine calibration checks. Familiarity with mineral identification, heavy mineral concentrates, indicator minerals or sample preparation for mineralogy. Exposure to Raman, XRF or other spectroscopic instruments. Experience in an ISO/IEC 17025 or similar quality-managed lab. Comfort with, and enjoyment of, repetitive precision work done to a high standard over a full shift. WHMIS and Ontario Worker Health and Safety Awareness training already completed. If not, we will provide both. Experience with lapidary and thin section preparation. Working Conditions and Physical Requirements Indoor laboratory work at our Sudbury facility. Extended periods of standing or sitting at a bench, microscope or computer workstation, with regular breaks. Repetitive fine-motor tasks such as scooping, tray loading and handling small containers, which need a steady hand and good near vision. Accommodations are available. Occasional lifting and carrying of sample boxes and supplies up to 20 kg (about 44 lb), with team lifts or lift aids for anything heavier. Working near laser-based instruments under established laser-safety procedures, and handling mineral samples under dust-control and good-housekeeping procedures. Required PPE may include safety glasses, lab coat, gloves and closed-toe shoes. Training is provided. Day shift, Monday to Friday. Occasional extended or flexible hours may be needed as lab throughput grows. Overtime is handled in line with Ontario employment standards. KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, disability, or veteran status. This position is (Full-time Exempt) The Canadian base salary range for this full-time exempt position is $60,000-$90,000 CAD, plus equity and benefits including RRSP matching.

Location: San Francisco, CA; Seattle, WA Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE Docker is looking for a Senior Software Engineer to build AI-powered developer tools and the platform behind them on our AI Developer Tools team. You will work at the intersection of AI, developer experience, and platform engineering, building tools that make Docker's engineers more productive and the platform that lets teams across Docker prototype, deploy, and scale their own AI developer tools. As a Senior Engineer you will design, build, and operate: - AI-Powered Developer Tools. AI agents and tools that accelerate developer productivity, surface observability insights, and automate operational reviews. You will help teams adopt an AI-native way of working and speed up adoption of tools such as Claude Code and Codex. Examples include AI-powered code review and refactoring assistants, automated test generators and local environment setup tools, deployment pipeline diagnostic agents, and agents that simplify on-call work during incidents. - Self-Service AI Developer Tools Platform. Platform infrastructure that lets product and platform teams across Docker unblock themselves by prototyping, building, and deploying their own AI developer tools, using the patterns and standards the team sets. You will report to the Senior Manager, AI Developer Tools, and work closely with the team's Principal and Staff engineers, product engineering teams, and platform teams across Docker. _______________________________________________________________________ WHAT WOULD MAKE SOMEONE SUCCESSFUL IN THIS ROLE You are a strong, hands-on engineer who enjoys building at the intersection of AI, developer experience, and platform engineering. You have built software on top of LLMs and AI agents and have a good sense of what works in practice. You care about the people using your tools, and you can tell a tool developers love from one they put up with. You take a feature from a vague request to production: you ask the right questions about requirements, design it sensibly, ship it iteratively, and operate it afterward. You are comfortable in a fast-moving AI landscape and balance quality with pragmatism. You make the engineers around you better through thoughtful code review and by sharing what you learn. _______________________________________________________________________ RESPONSIBILITIES BUILDING AND OPERATING AI DEVELOPER TOOLS - Design, build, and operate production AI agents for developer productivity, including code review assistants, test generators, deployment diagnostics, and incident response automation - Integrate LLM providers, agent orchestration frameworks, and MCP servers into reliable tools, following the team's patterns and standards - Build systems that help Docker's engineers adopt AI-native development tools - Build integrations between AI developer tools and existing developer infrastructure such as CI/CD pipelines, observability platforms, and deployment systems - Instrument your tools so the team can measure adoption, effectiveness, and developer satisfaction SELF-SERVICE PLATFORM - Build and improve platform capabilities, including deployment pipelines (ArgoCD/GitOps), observability integration (Grafana), security controls, and cost management, that help teams ship their own AI tools faster - Help reduce time-to-production for new products from weeks to days - Contribute to reliability, security, and performance standards for AI systems, including SLOs, monitoring, and incident response DESIGN AND DELIVERY - Take features and services from requirements to production. Ask about scale, users, and constraints before designing, and write down your assumptions - Write clear design documents for the work you own, and participate in design reviews for the team - Review code thoroughly and share what you learn with the rest of the team - Take part in the team's on-call rotation, and help improve alerts, runbooks, and tooling so the next incident is easier - Follow the AI-assisted engineering practices the team sets: use AI tools critically, validate their output, and stay accountable for what you ship COLLABORATION AND GROWTH - Work with the Senior Manager and the team's Principal and Staff engineers to understand priorities and shape your work - Partner with Infrastructure, Security, and Data teams on integrations and shared standards - Help newer engineers get up to speed on the team's tools, patterns, and practices - Keep up with emerging AI/LLM technologies and agent frameworks, and bring useful findings back to the team _______________________________________________________________________ QUALIFICATIONS REQUIRED - 6+ years of software engineering experience building and operating production systems - Hands-on experience building LLM-powered applications, AI agents, or AI-assisted developer tools - Working knowledge of LLM APIs (OpenAI, Anthropic, and others), prompt engineering, agent orchestration frameworks, and practical uses of AI in software development workflows - Experience building and operating scalable backend services, distributed systems, or developer-facing platforms - Experience with cloud-native infrastructure, including Kubernetes, CI/CD pipelines, and observability systems - Proficiency in Go (preferred), Rust, Java, or Python, with strong software engineering fundamentals - Experience building developer tools, platform systems, or internal tools that other engineers rely on - Good product judgment: you weigh developer experience and technical trade-offs, and you ask clarifying questions before committing to a design - Clear written and spoken communication suited to a remote, async-first company - Ownership mentality with a bias for action and iterative delivery in ambiguous, fast-moving environments - Comfortable working autonomously in a distributed, remote-first team - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience PREFERRED - Experience with MCP (Model Context Protocol) or similar AI agent integration standards - Background in developer productivity, DevOps, SRE, or platform engineering - Contributions to open source AI tools, developer tooling, or platform engineering projects - Experience with GitOps deployment patterns (ArgoCD) or Grafana-based observability - Familiarity with security and operational practices for production AI systems - Experience with infrastructure-as-code (Terraform, Pulumi) and major cloud platforms (AWS, GCP, Azure) _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS - Learn Docker's current AI and developer tooling landscape, the team's services, and the architecture decisions made so far - Meet your teammates, including the Principal and Staff engineers, the Senior Manager, and key stakeholders in product engineering - Ship a useful production change in your first weeks, using the team's AI-assisted engineering workflow - Review existing AI tool prototypes and internal experiments to learn what is working and what is not - Shadow on-call and learn the operational profile of the team's services FIRST 90 DAYS - Own a feature or service from design to production with measurable impact, such as part of an AI code review agent, a deployment diagnostic agent, or an on-call assistant - Write the design document for work you own and take part in team design reviews - Contribute to the self-service platform's deployment pipeline, observability integration, or security controls - Take part in the on-call rotation FIRST YEAR OUTLOOK - Be a go-to engineer for one or more of the team's AI tools or platform components - Have shipped multiple production improvements that Docker engineers use every day, with adoption and effectiveness you can point to - Have helped teams outside AI Developer Tools build and run their own tools on the platform - Have taken on larger and more ambiguous work as your scope grows, and helped newer engineers do the same Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. United States: $160,900 – $260,700 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: San Francisco, CA; Seattle, WA Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE Docker is looking for a Staff Software Engineer to set the technical direction for key parts of our AI Developer Tools team. You will work at the intersection of AI, developer experience, and platform engineering, building the AI-powered tools and the platform that let teams across Docker prototype, deploy, and scale their own AI developer tools. As a Staff Engineer you will own the technical design and delivery for two areas: - AI-Powered Developer Tools. Design and build AI agents and tools that accelerate developer productivity, surface observability insights, and automate operational reviews. You will help teams adopt an AI-native way of working and speed up adoption of tools such as Claude Code and Codex. Examples include AI-powered code review and refactoring assistants, automated test generators and local environment setup tools, deployment pipeline diagnostic agents, and agents that simplify on-call work during incidents. - Self-Service AI Developer Tools Platform. Design and build the platform infrastructure that lets product and platform teams across Docker unblock themselves by prototyping, building, and deploying their own AI developer tools. You will set the patterns and standards that let teams experiment, iterate quickly, and graduate successful prototypes into production-ready services. You will report to the Senior Manager, AI Developer Tools, and work closely with the team's Principal engineers, engineering leadership, product engineering teams, and platform teams across Docker. _______________________________________________________________________ WHAT WOULD MAKE SOMEONE SUCCESSFUL IN THIS ROLE You are a hands-on technical leader who works well at the intersection of AI, developer experience, and platform engineering. You have shipped production systems built on LLMs and AI agents, and you can explain what worked and what did not. You think in platforms: you design something once so that several teams can move faster. You have clear opinions about what makes a developer tool good, and sound judgment about when to build, when to integrate, and when not to do either. You are comfortable in a fast-moving AI landscape and balance technical quality with shipping iteratively. Before you design, you ask about scale, users, and constraints rather than assuming them. You lead through influence and mentorship, and the engineers around you get better because you are on the team. _______________________________________________________________________ RESPONSIBILITIES TECHNICAL LEADERSHIP AND ARCHITECTURE - Set technical direction and own the architecture for AI-powered developer tools and the self-service platform within the team's roadmap - Turn ambiguous problems into clear requirements, plans, and staged decisions. Ask about scale, users, and constraints before designing, and write down your assumptions - Establish patterns, standards, and best practices for LLM integration, agent development, and production AI systems that the team and partner teams adopt - Shape platform capabilities including deployment frameworks (ArgoCD/GitOps), observability integration (Grafana), security controls, and operational tooling for AI developer tools - Design reliable, scalable infrastructure for hosting AI agents and developer tools - Recommend AI technology choices, LLM provider strategies, and agent orchestration approaches, and make the trade-offs explicit - Work with the Senior Manager and the team's Principal engineers to align technical decisions with business goals SYSTEMS DESIGN AND IMPLEMENTATION - Design, build, and operate production AI agents for developer productivity, including code review assistants, test generators, deployment diagnostics, and incident response automation - Build self-service platform capabilities that reduce time-to-production for new AI tools from weeks to days - Build systems that speed up adoption of AI-native development tools (Claude Code, Codex) across Docker's engineering organization - Set and meet reliability, security, and performance standards for AI systems, including SLOs, monitoring, incident response, and cost management - Design integrations between AI developer tools and existing developer infrastructure such as CI/CD pipelines, observability platforms, and deployment systems - Take part in the team's on-call rotation and use what you learn to improve alerts, runbooks, and tooling STRATEGIC IMPACT AND INNOVATION - Evaluate emerging AI/LLM technologies, developer tooling trends, and agent frameworks, and recommend what Docker should adopt and what it should not build - Define how we measure AI tool effectiveness, including adoption, productivity gains, and developer satisfaction - Improve AI tool performance, cost efficiency, and developer experience through architectural improvements - Contribute to the technical approach for hardening proven internal tools so other teams across Docker can adopt them - Lead cross-team technical delivery, surface risks early, and work with Infrastructure, Security, and Data on shared standards LEADERSHIP AND MENTORSHIP - Mentor senior engineers on AI/LLM integration patterns, agent development, and platform engineering practices - Lead design reviews and raise the quality of design and code reviews across the team - Create reusable patterns, documentation, and architectural decision records (ADRs) that other engineers build on - Help the team turn good individual AI-assisted engineering practice into shared workflows and controls - This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed. _______________________________________________________________________ QUALIFICATIONS REQUIRED - 8+ years of software engineering experience, with demonstrated technical leadership on production systems at scale - Hands-on production experience building LLM-powered applications, AI agents, or AI-assisted developer tools - Strong understanding of LLM APIs (OpenAI, Anthropic, and others), prompt engineering, agent orchestration frameworks, and practical uses of AI in software development workflows - Track record of designing and building scalable distributed systems and developer-facing platforms - Production experience with cloud-native infrastructure, including Kubernetes, GitOps deployment patterns, observability systems, and CI/CD pipelines - Proficiency in Go (preferred), Rust, Java, or Python, with strong software engineering fundamentals - Experience designing developer tools, platform systems, or internal tools that other teams rely on - Track record of clarifying requirements and constraints with stakeholders before committing to a design - Track record of leading complex initiatives that crossed team boundaries, and of influencing without direct authority - Strong product and platform judgment: you weigh business outcomes, developer experience, and technical trade-offs - Clear written and spoken communication suited to a remote, async-first company - Track record of mentoring other experienced engineers - Ownership mentality with a bias for action and iterative delivery in ambiguous, fast-moving environments - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience PREFERRED - Experience with MCP (Model Context Protocol) or similar AI agent integration standards - Background in developer productivity, DevOps, SRE, or platform engineering - Contributions to open source AI tools, developer tooling, or platform engineering projects - Experience evolving an internal platform or tool into a widely adopted, production-grade service - Knowledge of security, compliance, and operational practices for production AI systems - Experience with infrastructure-as-code (Terraform, Pulumi) and major cloud platforms (AWS, GCP, Azure) _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS - Build context on Docker's current AI and developer tooling landscape, including existing AI experiments, LLM provider relationships, and architecture decisions to date - Meet the Senior Manager, the team's Principal engineers, engineering leadership, and key stakeholders in product engineering to understand needs, pain points, and constraints - Review existing AI tool prototypes and internal experiments to learn what is working and what is not - Get hands-on with the team's services and ship a useful production change - Shadow on-call and learn the operational profile of the team's services - Work with the Senior Manager to agree on initial technical priorities FIRST 90 DAYS - Lead the technical framing and delivery plan for one significant problem, from requirements through to production - Document the architecture, technology choices, and integration patterns for that work, including ADRs - Ship a production AI developer tool that sets patterns the team can reuse (for example an AI-powered code review agent, a deployment diagnostic agent, or an on-call assistant) - Contribute to the technical foundations of the self-service platform: deployment pipeline, observability integration, security controls, and cost management - Lead design reviews for your area of the roadmap and begin mentoring other engineers - Take part in the on-call rotation FIRST YEAR OUTLOOK - Be the trusted technical lead for your area of AI Developer Tools, and a sought-after partner for teams across Docker - Deliver at least one material outcome that spans multiple teams or systems - Have multiple production AI tools demonstrating value across Docker's engineering organization - Help build a self-service platform that lets multiple teams build, deploy, and operate their own AI tools with little friction - Define and instrument how the team measures AI tool adoption, effectiveness, and developer productivity impact - Grow other senior engineers into broader ownership, and reduce the number of decisions that depend on a small set of people Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. United States: $170,350 – $275,550 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE