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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.

• 4+ года коммерческого опыта в Test Automation. • Уверенный опыт с Playwright.

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 General Mechanical Design Engineer at Humanoid, you will own the design and development of key mechanical subsystems, including robotic joints, structural assemblies, and dynamic mechanisms that enable humanoid mobility and manipulation. This role requires strong fundamentals in mechanical design, system integration, and GD&T (ASME Y14.5), as well as a passion for building complex hardware systems. You will collaborate closely with robotics, controls, electrical, and software teams to rapidly prototype, test, and deploy robotic hardware. Your work will directly influence the performance, reliability, and scalability of our humanoid robots.   WHAT YOU’LL DO - Design and develop mechanical systems for humanoid robots, including structural components, joints, and robotic linkages - Create 3D CAD models and production drawings using SolidWorks / NX, applying GD&T (ASME Y14.5) to ensure precision and manufacturability - Design robotic mechanisms and linkages optimized for strength, weight, efficiency, and durability - Select materials and manufacturing methods that balance performance, weight, cost, and scalability - Lead rapid prototyping and iteration, using tools such as 3D printing, CNC machining, and rapid fabrication - Design components for high volume production, designing for processes like casting, injection moulding, and sheet metal - Work closely with electrical, controls, and software engineers to integrate motors, sensors, and embedded systems into robotic platforms - Conduct mechanical testing and validation to verify performance, durability, and system reliability - Perform design reviews, risk assessments, and safety analysis to ensure robust robotic systems - Generate and maintain technical documentation, including engineering drawings, specifications, and bill of materials (BOM) - Own mechanical subsystems from concept through prototyping, testing, and deployment. WE’RE LOOKING FOR - 5+ years of professional experience in mechanical design for robotics, electromechanical systems, or complex hardware products - Bachelor’s or Master’s degree in Mechanical Engineering, Robotics, Mechatronics, or a related field - Strong fundamentals in mechanics, statics, dynamics, thermals, and material science - Proficiency with SolidWorks, NX or similar CAD tools - Experience applying GD&T based on ASME Y14.5 - Experience designing precision mechanical assemblies or mechanisms - Familiarity with manufacturing processes such as CNC machining, additive manufacturing, and injection molding - Hands-on experience building, assembling, and testing mechanical prototypes - Strong analytical and problem-solving skills - Ability to work effectively in a fast-paced, multidisciplinary engineering environment.   BONUS QUALIFICATIONS - Experience developing robotic or mechatronic systems - Experience working on humanoid, legged, or mobile robots - Experience performing FEA or structural simulations - Experience with design of cooling systems and optimizing thermal performance - Experience designing lightweight structural systems - Familiarity with robotic safety standards such as ISO 10218 - Familiarity with robotic actuators, gear trains, and transmission systems - Experience in robotics, aerospace, automotive, or advanced hardware startups.   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 $110,000 – $150,000 CAD per year; your placement in that range depends on how your experience maps to our internal leveling.

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 Actuator Mechanical Design Engineer at Humanoid, you will own the design and development of robotic actuators to be integrated in robotic joints and dynamic mechanisms that enable humanoid mobility and manipulation. This role requires strong fundamentals in mechanical design, system integration, and GD&T (ASME Y14.5), as well as a passion for building complex hardware systems. You will collaborate closely with robotics, controls, electrical, and software teams to rapidly prototype, test, and deploy robotic actuators. Your work will directly influence the performance, reliability, and scalability of our humanoid robots. WHAT YOU’LL DO - Size and design torque dense actuators for humanoid robots, being responsible for specification and integration of key components including motors, bearings, encoders, and drives - Select appropriate reduction methods and develop innovative strain wave and planetary gearbox designs - Create 3D CAD models and production drawings using SolidWorks / NX, applying GD&T (ASME Y14.5) to ensure precision and manufacturability - Select materials and manufacturing methods that balance performance, weight, cost, and scalability - Lead rapid prototyping and iteration, using tools such as 3D printing, CNC machining, and rapid fabrication - Design components for high volume production, designing for processes like casting, injection moulding, and extrusion - Work closely with mechanical, electrical, controls, and software engineers to integrate actuators and sensors into robotic platforms - Conduct mechanical testing and validation to verify performance, durability, and system reliability - Perform design reviews, risk assessments, and safety analysis to ensure robust robotic systems - Generate and maintain technical documentation, including engineering drawings, specifications, and bill of materials (BOM) - Own mechanical subsystems from concept through prototyping, testing, and deployment. WE’RE LOOKING FOR - 7+ years of professional experience in mechanical design for robotics, electromechanical systems, or complex hardware products - 3+ years of professional experience designing planetary, cycloidal, or strain wave actuators - Bachelor’s or Master’s degree in Mechanical Engineering, Robotics, Mechatronics, or a related field - Strong fundamentals in mechanics, statics, dynamics, and material science - Proficiency with SolidWorks, NX, or similar CAD tools - Experience applying GD&T based on ASME Y14.5 - Experience designing precision mechanical assemblies or mechanisms - Familiarity with manufacturing processes such as CNC machining, additive manufacturing, and injection molding - Hands-on experience building, assembling, and testing mechanical prototypes - Strong analytical and problem-solving skills - Ability to work effectively in a fast-paced, multidisciplinary engineering environment.   BONUS QUALIFICATIONS - Experience using KISSsoft or RoMax to develop gearboxes - Experience designing ball screw, lead screw, or roller screw actuators - Experience working on humanoid, legged, or mobile robots - Experience performing FEA or structural simulations - Experience in the testing or thermal modelling of electric motors or gearboxes - Experience in robotics, aerospace, automotive, or advanced hardware startups   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 $120,000 – $170,000 CAD per year; your placement in that range depends on how your experience maps to our internal leveling.

Location: London Workplace: Hybrid Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. THE ROLE Checkout.com http://Checkout.com is looking for an enthusiastic Engineer I to join Finance Technology with a focus on Workday Adaptive Planning. Adaptive Planning supports finance, workforce, sales, and operational planning, giving teams a shared platform for budgeting, forecasting, modelling, reporting, and decision-making. This is an early-career engineering role for someone who wants to build depth in finance systems, application configuration, data integration, and operational support. You will work with Finance, Finance Technology, Data, and wider Corporate Technology teams to keep planning processes reliable, well-controlled, and easy to operate. You will have support from more senior engineers for complex design decisions, but you will be expected to work independently for longer periods on well-defined configuration, integration, support, and continuous-improvement tasks. This reflects Checkout’s Engineer 1 expectations: delivering small-to-medium-sized work, supporting common operational flows, communicating clearly, and taking ownership of the quality of what you deliver. HOW YOU’LL MAKE AN IMPACT - Configure, maintain, and enhance Adaptive Planning models, dimensions, versions, levels, accounts, sheets, reports, dashboards, and planning workflows under appropriate guidance. - Support the delivery of budgeting, forecasting, headcount planning, scenario modelling, and management reporting capabilities for Finance and business stakeholders. - Build and support data loads and integrations between Adaptive Planning, Workday Financials, Workday HCM, and other approved internal or third-party systems. - Maintain data mappings, transformation rules, validation checks, and reconciliation processes so that planning data is complete, accurate, and traceable. - Monitor scheduled loads and integration tasks, investigate failures, and resolve common data or configuration issues within agreed service levels. - Triage incidents and service requests, identifying root causes and escalating complex or high-risk issues with clear evidence and recommended next steps. - Partner with Finance stakeholders to understand requirements and translate them into maintainable system configuration, reporting, or integration changes. - Contribute to the assessment and delivery of future analytics data flows, including the potential use of Adaptive Planning data in BigQuery and management analytics. - Participate in testing, regression testing, release preparation, and controlled deployment of Adaptive Planning changes. - Follow change-control, access-management, data-quality, and audit requirements relevant to financial systems and planning data. - Create clear documentation, support guides, data dictionaries, integration runbooks, and knowledge-base articles so that operational knowledge is shared rather than held by one person. - Identify recurring manual work or failure patterns and propose practical automation and process improvements. WHAT WE’RE LOOKING FOR ESSENTIAL EXPERIENCE AND SKILLS - Experience in a finance systems, enterprise applications, data, reporting, or integration environment. - Practical experience with Workday Adaptive Planning, or strong experience with a comparable planning, performance-management, ERP, or finance application and a clear ability to learn Adaptive quickly. - Understanding of core finance planning concepts such as budgets, forecasts, actuals, variance analysis, allocations, dimensions, hierarchies, and scenarios. - Experience configuring or supporting structured data models, application workflows, reports, dashboards, or business rules. - Ability to work with data imports, exports, mappings, transformations, validations, and reconciliations. - Strong troubleshooting skills, with the ability to break down an issue, gather evidence, identify likely causes, and communicate findings clearly. - Good attention to detail and an understanding of why accuracy, access control, auditability, and repeatability matter in finance systems. - Ability to manage small-to-medium-sized tasks independently while knowing when to ask for help or escalate. - Strong written and verbal communication skills, with the ability to work effectively with Finance and Technology stakeholders. DESIRABLE EXPERIENCE - Workday Adaptive Planning certification or implementation experience. - Experience with Adaptive Planning Integration, Planning Data Loader, APIs, or equivalent enterprise planning integration tooling. - Experience integrating planning systems with Workday Financials, Workday HCM, an ERP, a data warehouse, or a reporting platform. - Familiarity with SOX controls, financial audit requirements, data privacy, and segregation of duties. - Experience supporting month-end, budget, forecast, or management-reporting cycles. - Exposure to Agile delivery, ticket-driven change management, incident management, or service-management practices. WHAT SUCCESS LOOKS LIKE After the first 6–12 months, you will be able to: - Support common Adaptive Planning configuration, data-load, and reporting requests with limited supervision. - Diagnose and resolve routine integration or data-quality issues using a structured troubleshooting approach. - Deliver small-to-medium-sized enhancements from requirement clarification through testing, documentation, and controlled release. - Explain key planning data flows, mappings, dependencies, and operational controls to Finance and Technology colleagues. - Improve the reliability or efficiency of at least one recurring planning or finance-technology process. - Maintain accurate, useful documentation and contribute positively to team ceremonies, reviews, and knowledge-sharing sessions. WORKING STYLE AND BEHAVIOURS We are looking for someone who: - Takes ownership of tasks and follows through on commitments. - Acts with urgency and accountability when issues affect Finance or business reporting. - Is curious about how finance processes, data, and technology fit together. - Communicates clearly, especially when explaining risk, blockers, trade-offs, or support impact. - Welcomes feedback and actively develops their technical and domain knowledge. - Collaborates generously and shares knowledge so the team does not depend on a single subject-matter expert. - Looks for durable automation and simpler operating processes rather than repeatedly working around the same manual problem. WHY JOIN FINANCE TECHNOLOGY? You will work on systems that sit at the centre of how Checkout.com http://Checkout.com plans, forecasts, reports, and makes financial decisions. The role offers the opportunity to develop a broad foundation across enterprise applications, finance processes, integrations, data quality, controls, and automation while working closely with experienced Finance and Technology professionals. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_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 We are looking for an Firmware and Embedded Software Engineer to design and develop the real-time software systems that control our humanoid robots. You will own the development of embedded software for critical robotic subsystems, including motion control, sensor interfaces, communication networks, and hardware abstraction layers that enable reliable and safe robotic operation. This role requires strong fundamentals in embedded programming, distributed hard real-time systems, and hardware-software integration, along with experience building robust software for complex electromechanical systems. You will collaborate closely with mechanical, electrical, and robotics engineers to rapidly prototype, test, and deploy embedded software that powers our robotic platforms. Your work will directly influence the performance, reliability, and responsiveness of Humanoid’s robots.   WHAT MAKES THIS ROLE EXCITING - Design and develop embedded systems that control humanoid robots in real time safely - Solve challenging problems in low-latency motion control, distributed embedded networks, and high-reliability robotic systems with various communication protocols - Work in a fast-moving hardware environment where software directly interacts with physical machines - Collaborate with a multidisciplinary robotics team spanning mechanical, electrical, controls, and AI - See your code deployed in real robots operating in real-world environments. WHAT YOU’LL DO - Develop and implement embedded software for robotic systems, emphasizing hard real-time performance and reliability as well as safety - Integrate and optimize hardware and software components, including sensors, actuators, and communication modules - Analyze and make recommendations on implementation paths with trade-offs - Write and debug firmware for microcontrollers, FPGAs, ASICs, and SoCs - Implement and manage communication protocols such as EtherCAT, CAN, UART, SPI, and I2C - Collaborate closely with mechanical and electrical engineers to ensure seamless system integration - Perform hardware testing, validation, and troubleshooting of embedded systems - Analyze system constraints and resource limitations to optimize performance and efficiency - Develop low-level drivers and interfaces for sensors, motors, and control electronics - Maintain clear documentation of system architecture, code, and test results for traceability and maintainability - Own embedded software components from concept through testing and deployment. WE’RE LOOKING FOR - 5+ years of professional experience developing embedded software or firmware for robotics, embedded systems, or real-time hardware platforms - Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, Robotics, or a related field - Strong proficiency in C and C++, with experience using Python for testing or tooling - Solid understanding of embedded systems architecture and hardware-software interfaces - Experience with real-time operating systems (RTOS) - Experience working with communication protocols such as EtherNet, EtherCAT, CAN, SPI, UART, or I2C - Experience integrating sensors, actuators, and motor control systems - Familiarity with debugging tools such as oscilloscopes, logic analyzers, and in-circuit debuggers - Strong analytical and problem-solving skills - Ability to work effectively in a fast-paced multidisciplinary engineering environment. BONUS QUALIFICATIONS - Experience working with robotics frameworks such as ROS or ROS2 - Hands-on experience with FPGA or SoC development - Experience developing distributed robotic control systems - Familiarity with agile development methodologies - Experience with EtherCAT-based motor drivers and real-time control networks - Experience developing safety-critical or high-reliability embedded systems.   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 $140,000 – $180,000 CAD per year; your placement in that range depends on how your experience maps to our internal leveling.

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 seeking a Mechanical Engineer to design and develop advanced humanoid robots. The ideal candidate will have expertise in mechanical design, system integration, and GD&T based on ASME Y14.5, along with experience in optimizing robotic systems for performance and manufacturability. WHAT YOU’LL DO - Develop components for humanoid robots (e.g., frames, actuators, joints) using CAD software, applying GD&T standards (ASME Y14.5) to ensure precision and manufacturability. - Design robotic linkages and mechanisms with a focus on efficient motion and performance optimization. - Choose materials and manufacturing methods that balance strength, weight, and cost, ensuring feasibility and reliability. - Lead the prototyping phase, utilizing tools like 3D printing and CNC machining to validate designs. - Work with electrical engineers and software developers to integrate mechanical components into robotic systems. - Ensure designs meet safety standards, conducting risk assessments and applying necessary safety features. - Perform mechanical testing to verify design performance and durability. - Produce detailed technical documentation, including drawings, specifications, and BOMs, adhering to GD&T principles. - Work closely with cross-functional teams to achieve project goals. WE’RE LOOKING FOR - Strong background in mechanical design, statics, dynamics, and material science. - Skilled in CAD tools (SolidWorks), with the ability to apply GD&T (ASME Y14.5) to designs. - Familiarity with manufacturing methods like CNC machining, 3D printing, and injection molding. - Hands-on experience building and testing prototypes. - Understanding of safety standards (e.g., ISO 10218) and risk assessment. - Strong analytical skills to tackle complex engineering challenges. - Clear verbal and written communication for effective teamwork.   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 $110,000 – $150,000 CAD per year; your placement in that range depends on how your experience maps to our internal leveling.

ElevenLabs is looking for an Analytics Engineer to build trusted data models metrics and KPI layers for business decisions.

Reap is looking for a Senior Software Engineer Treasury to design and operate reliable global money-movement systems for fiat and stablecoins.

Perplexity is looking for a Machine Learning Engineer to develop search, retrieval, LLM training, and multi-agent systems.

Location: Remote, Global About the Role We're looking for a FinOps Data Engineer to help drive cost optimization and cloud financial governance across our AWS infrastructure and GCP footprint. You'll work cross-functionally with Engineering, Finance, and Product to find and ship savings, build the tooling necessary to maximize efficiency of every dollar spent in the cloud, and cultivate a culture of cost awareness across engineering teams. This role owns the data side of that mission: the models, pipelines, and analysis that make cost, usage, and margin numbers trustworthy across the company. This is a hands-on engineering role, not an analyst seat. You'll do the schlep work other teams don't have time for, digging into a bucket's access pattern, writing the dbt model or Python pipeline that ships the fix, building the cost-vs-revenue mart that answers a margin question once instead of every time, and chasing a number until it reconciles. Strong communication matters as much as technical depth, you'll regularly explain a savings case or a data model's implications to an engineering team, a finance stakeholder, and a leadership audience in the same week. What You'll Be Responsible For In this role, you'll: - Find and ship savings across AWS and GCP: Analyze billing, usage, and cost trends to identify opportunities, rightsizing, storage lifecycle policies, data transfer, and spot/auto-scaling. Take ideas from identification through to a realized dollar figure, not just a recommendation. - Build and maintain the FinOps data pipeline: Design and run the BigQuery/dbt models that turn raw billing and usage data (CUR, Storage Lens) into reconciled, trustworthy mart tables, the foundation everything else in FinOps is built on. - Build cost-vs-revenue and customer segmentation models: Model unit economics and margin by product line and customer segment, and extend coverage as new products and segments come online. - Apply data science to cost and usage data: Build forecasting models, detect anomalies statistically rather than by threshold alone, and quantify savings opportunities (e.g. storage lifecycle, request-cost patterns) with rigor a spreadsheet can't match. - Build and maintain cost attribution: Tagging policies, cost allocation, and chargeback/showback so engineering teams can see and own their own spend. This is foundational work other savings work depends on. - Automate cost governance: Build automated cost reporting, anomaly detection, and alerting. Write the scripts and infrastructure-as-code (Python, Terraform, Lambda) that enforce cost policy rather than relying on manual review. - Partner with engineering on architecture decisions: Bring cost into the room early, cost-efficiencies are cheaper to get right at design than to retrofit. - Work with Finance on forecasting and reporting: Support budget tracking and financial KPIs; build dashboards and self-serve analytics engineering and finance can both read. You Might Be a Good Fit If You - Have strong AWS expertise and working GCP knowledge, including pricing models, billing structures, and cost optimization mechanics. - Have data engineering depth: dbt, BigQuery (or an equivalent modern warehouse), SQL at scale, and data modeling for analytics (dimensional modeling, incremental models, testing). - Have data science fundamentals: statistical forecasting, anomaly detection, and experimentation, and know when a rigorous model beats a rule of thumb. - Have automation and scripting skills: Python, Terraform/ pulumi, Lambda, or Bash. - Are comfortable with cost/billing tooling: AWS Cost Explorer, Cost & Usage Reports, GCP Billing Reports, and BI/dashboarding (we use Hex). - Have experience with, or are comfortable picking up, Linear and Notion as the system of record for tracking and documenting FinOps work. - Experience with a dedicated cloud cost management platform (e.g. CloudZero, Vantage, or similar) is a plus, not required. - Can analyze cost data and present it clearly to both technical and non-technical audiences. - Have prior experience spanning data analytics, data engineering, or data science in a FinOps, cloud cost management, or cloud governance context. - Are energized by doing the unglamorous, high-leverage work (the schlep) that unblocks other teams, and by working cross-functionally without positional authority. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: Global Remote Workplace: remote Metabase is the easiest way for people to get insights from their data, from tiny startups who get up and running quickly to major corporations with tens of thousands of users. That's why people love us.   We bring data tools with the elegance and simplicity of consumer products to the crufty world of enterprise business intelligence. We provide an opinionated open source starting point for how companies should measure, analyze and share their data, which is used by tens of thousands of companies. About the Role We’re looking for a Security Engineer with deep expertise in source code analysis and offensive product security research. You’ll dig into complex software architectures, trace how code behaves at runtime, uncover subtle vulnerabilities, and address the systemic flaws behind them. Embedded in our core engineering team, you’ll help shape security decisions from early design through release and adoption. This is a hands-on engineering and research role: you’ll combine your security expertise with frontier AI tools to find vulnerabilities, develop fixes, and make Metabase secure by default across its product, dependencies, and runtime. Things you’ll do Partner with engineers throughout feature development, bringing security expertise to design, implementation, release, and adoption. Build security-focused features, lead security improvements across the codebase, and implement fixes that address root causes. Use and evaluate advanced AI tools to scale code analysis, vulnerability research, and secure engineering practices. Conduct offensive research into Metabase, develop proofs of concept, and validate vulnerabilities. Assess findings based on exploitability and real-world impact, define clear remediation criteria, and verify that fixes are effective. Turn individual findings into broader improvements that prevent entire classes of vulnerabilities. What you bring A demonstrated track record of finding and exploiting application vulnerabilities through source code analysis and hands-on research. The ability to independently navigate unfamiliar codebases, understand complex architectures, and reason about runtime behavior and trust boundaries. Experience with application security challenges, including authentication, authorization, injection, and unsafe handling of untrusted data. Sound judgment about exploitability and real-world impact, and the ability to communicate findings and remediation options clearly. Strong software engineering skills, including the ability to implement durable security fixes. Experience in Clojure, or a strong desire to learn. A thoughtful approach to AI-assisted security work, using these tools to extend your expertise while independently validating their output. Ownership and curiosity: you pursue difficult questions, collaborate closely with engineers, and follow findings through to resolution. Compensation The US base salary range for this role is $160K–$225K annually, plus equity and benefits. Compensation is determined by role, level, location, and individual qualifications, including skills, experience, and scope of responsibility. Pay may vary by geographic location and other job-related factors. Benefits We offer meaningful equity and a comprehensive US benefits package, including fully employer-covered medical, dental, and vision insurance (with 75% coverage for dependents), a 401(k) with employer match available to enroll after the first 30 days, flexible and unlimited paid time off including sick time, and an asynchronous, remote-first environment. We're a global team (50% outside the US), fully distributed (from Thailand to California), who get things done asynchronously, with plenty of uninterrupted time, supporting each other to do the best work of our careers. We offer flexibility (define your own schedule and work from wherever you want), autonomy, and an environment that fosters growth, learning, and development. We're relentlessly user-focused and believe in building long-term value, not short-term hacks. And we raised a $30M Series B to take our approach to the next level for years to come.   For U.S. applicants: Metabase participates in the federal E-Verify program, which confirms employment authorization of newly hired U.S. based employees. E-Verify is not used as a tool to pre-screen candidates and is only initiated upon hire.   E-Verify Participation Notice (English/Spanish) Right to Work Notice (English/Spanish)

Location: New York City, NY; San Francisco, CA; Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a member of the GTM team at Anthropic, you will be a Staff Forward Deployed Engineer (FDE) who embeds directly with our most strategic customers and leads the technical direction of their AI adoption. Customers bring you in to lead, not only to implement: you decide what should be built, and then make sure it gets built well. You will work with customer teams to ship advanced AI applications that solve real world business problems, and guide the architecture and advisory work that surrounds those builds across an account. Working closely with our Research, Product, and Engineering teams, you'll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability. You will sit at the frontier of enterprise AI deployments and help shape our forward-deployed motion as it scales. We expect Staff FDEs to set direction under ambiguity and represent Anthropic at the highest level in customer environments. In this role, you guide architecture and build initiatives across workstreams, working directly with senior technical and business stakeholders and owning outcomes that span an account's roadmap. You don't need to have shipped agents to production. You do need deep experience building and operating production systems, hands-on time with agents, and the judgment to lead architecture and advisory work with enterprise customers. Responsibilities Own technical strategy for a key account or vertical, in partnership with account and product teams. Guide technical architecture and design decisions across multiple concurrent workstreams. Lead discovery and advisory engagements independently, shaping scope and technical strategy before a build starts. Lead engagements delivered with partners, setting the architecture and the quality bar for work you don't build yourself. Review designs and unblock other FDEs on hard technical calls. Represent Anthropic to senior technical and business stakeholders, including VPs and C-level, to align on strategy and de-risk delivery. Own your engagements end to end: scope the work, sequence it, unblock it, anticipate security and procurement gates, and deliver production systems the customer can operate. Work within customer systems to build production applications and agent components with Claude, and hand over systems the customer can run. Identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams. Build long term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement. Travel frequently (25%) to customer sites to build in person with customers. Be a champion for Anthropic's mission in the field. You May Be a Good Fit If You Have Deep system design and problem decomposition skills: you can walk into a discovery conversation with only a business problem and leave with a defensible technical strategy for a secure, production-ready design inside a complex enterprise environment of legacy systems, with identity and access, and compliance requirements. Experience in a senior technical, customer facing role such as Forward Deployed Engineer, or as a Tech Lead with consulting or product experience. Former technical founders are also encouraged to apply. A track record as the person a team turns to on ambiguous technical calls, whether through architecture review, pairing, or informal mentorship. A track record of directly influencing senior technical and business stakeholders, including VP and C-level, in complex organizations. Extensive experience building and operating production systems. Hands-on experience with LLMs and agents is expected. Side projects and prototypes count. Strong programming skills with proficiency in Python (and ideally in one or more additional languages like TypeScript, Java, etc), experience shipping production applications, and everyday use of AI coding tools with the judgment to review and steer. Experience leading advisory and architecture-review engagements as well as hands-on builds, and running them end to end. High agency with an ability to navigate ambiguity present in complex organizations, and the learning velocity to pick up new domains and tools fast. Passion for advancing safe, beneficial AI systems through creative technical applications. A background in financial services, healthcare/life sciences, or another enterprise vertical are nice to have. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $280,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States of America What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 6M endpoints and 16M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: Manager, IT Solutions Engineering Location: Remote US Compensation Range: $130,000 to $140,000 base plus bonus and equity What You’ll Do: As a Senior IT Automation Engineer on the IT Solutions Engineering team, you will shape how Huntress uses automation and AI to work smarter, move faster, and scale securely. You will own the strategy and operating model for our Automation and Agentic AI Center of Excellence, turning tools such as Claude, Glean, Zapier, and related platforms into practical systems that improve how teams get work done. You embrace continuous improvement by testing what has the most leverage, learning quickly, and improving the patterns that scale. You find friction before it becomes someone else’s problem and owning the path from idea to adoption. You measure success by the operational impact, security, and value your systems create across Huntress.You’ll work side by side with the rest of the IT Solution Engineering team and automation engineering peers to accomplish your work. Responsibilities: Lead cross-functional initiatives that use automation to improve operational scale, employee experience, and business execution. Own the enterprise automation and integration stack, including Zapier and connected business systems, while ensuring performance, maintainability, and security alignment. Establish and operate the Automation and Agentic AI Center of Excellence, including standards, governance, documentation, intake, and prioritization practices. Build reusable frameworks, templates, libraries, and design patterns that help enable self service and deliver reliable solutions faster with more consistency. Represent IT with Internal Innovation to collaborate on AI adoption, feature enablement, and governance. Design modular, resilient integration patterns and automation pipelines with secure data handling, role-based access control, and least-privilege principles built in. Analyze operational inefficiencies, identify high-value opportunities, and deliver data-informed recommendations and roadmaps to leadership. Re-engineer meaningful parts of the operational layer with AI, using tools such as Claude and Glean to create reusable workflows that preserve human judgment, security, and measurable outcomes. What You Bring To The Team: You have 7+ years of experience in automation engineering, systems integration, or a similar technical leadership role, with experience on or partnering closely with IT teams. You have set automation strategy, translated organizational goals into practical roadmaps, and guided initiatives from concept through adoption. You have hands-on experience with enterprise workflow platforms, API-based integrations, and Microsoft tooling such as Azure, Entra, and Intune, along with Python or JavaScript/TypeScript scripting and version-controlled delivery practices. You understand SaaS security, identity and access management, credential protection, privacy-aware data handling, and the risk assessment of new integrations. You can diagnose root causes, weigh automation against manual processes, and make clear decisions about where standardization creates the most value. You communicate technical trade-offs clearly with engineers, business partners, and executive stakeholders, and you can guide teams toward maintainable solutions. You have re-engineered workflows with AI and can design reusable systems that let tools such as Claude and Glean run meaningful parts of the operational layer while keeping human judgment, security, and measurable outcomes in the loop. What We Offer: 100% remote work environment - since our founding in 2015 Generous paid time off policy, including vacation, sick time, and paid holidays 12 weeks of paid parental leave Highly competitive and comprehensive medical, dental, and vision benefits plans 401(k) with a 5% contribution regardless of employee contribution Life and Disability insurance plans Stock options for all full-time employees One-time $500 reimbursement for building/upgrading home office Annual allowance for education and professional development assistance $75 USD/month digital reimbursement Access to the BetterUp platform for coaching, personal, and professional growth Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. #BI-Remote

Location: Copenhagen, Denmark; Santo Domingo, Dominican Republic; Quito, Ecuador; Cairo, Egypt; San Salvador, El Salvador Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? As an AI Harness Engineer, you’re not just building integrations for AI —you’re developing new and innovative ways to connect people to local AI, and how that AI will become a fixture in our lives. You will push QVAC to new levels, using P2P technology to enable limitless scale, making you essential to the company’s success in the competitive local AI assistant market. Responsibilities s Deliver new features and bug fixes with a focus on reliability, performance, and user satisfaction Design and develop new tools and modules, enabling new AI capabilities while ensuring success of a wide variety of model types and sizes Maintain high codebase quality through consistent coding standards, code reviews, and automated testing Implement and develop P2P technology for use with local AI 5+ years building production software, with deep experience in P2P systems, AI/LLM tooling, or both. Hands-on experience building agent harnesses, including tool calling, agent loops, context management, and structured outputs. Experience building evals and test infrastructure for non-deterministic systems. Strong JavaScript/TypeScript, with experience modelling complex state, from sync protocols to agent loops Open-source contributions to P2P, networking, or AI tooling projects Experience designing for failure, including network partitions, model errors, timeouts, and retries

Задачи: — вести сбор требований с бизнес‑стейкхолдерами — проектировать модели данных по паттернам medallion‑архитектуры (bronze/silver/gold) — строить и оптимизировать ETL/ELT‑пайплайны с dbt — настраивать проверки качества данных (Great Expectations) — оптимизировать Spark‑джобы под SLA — диагностировать проблемы в многосистемных пайплайнах — поддерживать документацию и runbook’и Требования: — от 5 лет опыта в Data Engineering — продвинутое владение Python, Spark и SQL — опыт работы с AWS и Databricks — знание Kafka и инструментов современного Data‑стека (dbt, Airflow или аналогов) — понимание dimensional‑моделирования (star/snowflake‑схемы) — понимание принципов проектирования хранилищ данных и архитектур (lambda, kappa, lakehouse) — умение структурировать задачи для работы с ИИ‑ассистентами — знание топологий систем — уровень английского — Intermediate и выше.

Location: Brussels, Belgium Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? As an AI Harness Engineer, you’re not just building integrations for AI —you’re developing new and innovative ways to connect people to local AI, and how that AI will become a fixture in our lives. You will push QVAC to new levels, using P2P technology to enable limitless scale, making you essential to the company’s success in the competitive local AI assistant market. Responsibilities s Deliver new features and bug fixes with a focus on reliability, performance, and user satisfaction Design and develop new tools and modules, enabling new AI capabilities while ensuring success of a wide variety of model types and sizes Maintain high codebase quality through consistent coding standards, code reviews, and automated testing Implement and develop P2P technology for use with local AI 5+ years building production software, with deep experience in P2P systems, AI/LLM tooling, or both. Hands-on experience building agent harnesses, including tool calling, agent loops, context management, and structured outputs. Experience building evals and test infrastructure for non-deterministic systems. Strong JavaScript/TypeScript, with experience modelling complex state, from sync protocols to agent loops Open-source contributions to P2P, networking, or AI tooling projects Experience designing for failure, including network partitions, model errors, timeouts, and retries

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