Вакансии

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: Quonset Point, United States SCOPE OF WORK (DELIVERABLES) Collaborate with a multidisciplinary team of engineers and technical specialists on AUV assembly and integration efforts. Build, integrate, and test complex electro-mechanical assemblies into advanced AUV platforms. Route, install, and service high-reliability cabling and wiring harnesses. Design, prototype, and build manufacturing jigs and fixtures to improve build quality and test efficiency. Fabricate and modify machined parts and COTS (commercial off-the-shelf) components as needed. Support all phases of the vehicle development and manufacturing lifecycle, providing direct technical feedback to engineering. Assist in developing, documenting, and optimizing assembly and build workflows. Support the organization, maintenance, and flow of on-site manufacturing areas. Provide potential offshore travel support for field operations and testing as required. REQUIRED QUALIFICATIONS 3+ years of relevant mechanical/assembly experience (automotive, marine, aerospace, or industrial equipment). Familiarity with standard fabrication processes, basic hand and power tools, and plastic/metal component manufacturing. Demonstrated ability to work collaboratively, professionally, and cross-functionally. Solid foundational understanding of hardware manufacturing life cycles. Demonstrated experience working from technical documentation, work instructions, and engineering drawings. Commitment to high build quality and personal accountability for deliverables. Hands-on experience assembling, maintaining, and troubleshooting electromechanical systems. Highly organized, detail-oriented, and dependable. Strong verbal and written technical communication skills. High level of initiative, adaptability, and focus on meeting project timelines. Eligible to obtain and maintain an active U.S. Secret security clearance. PREFERRED QUALIFICATIONS Prior experience in subsea robotics (AUVs, UUVs, or marine/underwater systems). Prior material handling/hoisting experience or MA/RI state hoisting credentials (overhead gantry, rigging). Experience working safely around electrical components up to 400VDC. Proficiency with electrical debugging and test equipment, such as digital multimeters. Manual/CNC machining and/or 3D printing experience.

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: UK, London 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 a strong Deep Learning Engineer to join our Autonomy team and develop the learning-based algorithms that power dynamic locomotion and whole-body control on our humanoid robots. You will develop robust, reusable motion capabilities that enable the robot to move dynamically, maintain balance, interact with its environment, and combine locomotion with manipulation. This includes building the underlying learning-based motion primitives that can be composed into increasingly complex whole-body behaviors. You will work closely with robotics, controls, simulation, and machine learning engineers to turn learned behaviors into reliable capabilities running as part of the robot's real-time control stack.   WHAT YOU'LL DO - Design and train learning-based locomotion and whole-body control policies for dynamic robotic behaviors. - Develop motion primitives using different learning based generative models. - Apply reinforcement learning, imitation learning, and other learning-based approaches to motion generation and control. - Build scalable simulation, data generation, and training pipelines using platforms such as Isaac Lab and MuJoCo. - Develop methods for robustness, adaptation, and sim-to-real transfer, including domain randomization and learning from real-world robot data. - Deploy, evaluate, debug, and fine-tune learned policies on physical humanoid robots. - Optimize policy inference and training systems for the performance and latency requirements of real-time control. - Integrate learned policies into the broader robot control and autonomy stack.   WHAT WE'RE LOOKING FOR - BS, MS, or PhD in Robotics, Machine Learning, Computer Science, or a related technical field. - 3+ years of experience developing machine learning systems in industry or research. - Strong understanding of deep learning and modern policy architectures, including training, inference, experimentation, and debugging. - Hands-on experience with RL and at least one additional area such as imitation learning, generative models, sequence models, or large-scale representation learning. - Strong Python and PyTorch experience. - Experience with physics-based simulation environments such as Isaac Lab, Isaac Sim, MuJoCo, or similar platforms. - Ability to reason about learning algorithms in the context of dynamics, control, and physical systems. Nice to have: - Experience applying reinforcement learning or imitation learning to legged robots, humanoids, or other complex physical systems. - Experience with whole-body control, locomotion, motion imitation, or loco-manipulation. - Experience deploying learned policies on real robotic systems and debugging the sim-to-real gap. - Familiarity with motion capture, trajectory optimization, model-based control, or learning from demonstrations. - Experience training policies at scale across large numbers of simulated environments. - Publications at NeurIPS, ICML, ICLR, CoRL, RSS, CVPR, or equivalent contributions to impactful open-source robotics or machine learning projects.   WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Sunday Robotics is looking for a Controller to own accounting and financial operations, build controls and systems, and lead the accounting function.

Sunday Robotics is looking for a Senior Product Manager Internal Tools to define and prioritize tools for robot operations, testing, data workflows, and internal users.

Location: Bangladesh; Brazil; India; Colombia; Egypt; Ghana About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Mechanical or Aerospace Engineering Expertto lead a team of technical trainers developing realistic, terminal-based engineering tasks for advanced AI training and evaluation. You will oversee a pod of approximately 5–10 trainers, review tasks for engineering accuracy and reproducibility, and ensure automated graders reliably assess technical outcomes. This role combines advanced engineering expertise, computational modeling, technical quality assurance, and team leadership to help evaluate and improve next-generation AI systems. CONTRACT: Contractor assignment, 4 weeks COMMITMENT: Hourly, up to 40h/week LOCATIONS: Remote - Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam PROCESS: AI Interview NOTES: PhD Degree is mandatory! Key Responsibilities Lead and mentor a team of 5–10 technical trainers, ensuring consistent task quality, productivity, and timely delivery. Review engineering tasks end to end, including problem statements, geometry and mesh files, simulation inputs, material properties, reference solutions, and automated tests. Validate tasks involving finite-element analysis (FEA), computational fluid dynamics (CFD), thermodynamics, heat transfer, dynamics, robotics, flight simulation, propulsion, and orbital mechanics. Ensure tasks reflect realistic mechanical and aerospace engineering workflows and require meaningful, multi-step technical reasoning. Verify engineering correctness across units, equilibrium, conservation laws, boundary conditions, mesh convergence, solver tolerances, reference frames, and numerical stability. Validate computational environments, simulation tools, solvers, and dependencies to ensure reproducible results. Review automated graders to ensure they assess meaningful engineering outputs, including stresses, deflections, natural frequencies, aerodynamic coefficients, thermal performance, orbital parameters, and safety margins. Identify technical inaccuracies, unrealistic assumptions, incorrect tolerances, and opportunities to bypass genuine engineering calculations or simulations. Provide actionable technical feedback, track revisions, and ensure quality issues are resolved before task approval. Onboard trainers, allocate work, monitor quality and throughput, resolve technical blockers, and maintain technical documentation and best practices. Requirements PhD, postdoctoral experience, or equivalent advanced technical expertise in Mechanical Engineering, Aerospace Engineering, or a closely related discipline. Strong programming skills in Python, C/C++, Fortran, Julia, or MATLAB/Octave. Proficiency in Linux and command-line environments. Hands-on expertise in at least one major area, such as FEA, CFD, dynamics, flight simulation, thermal modeling, astrodynamics, guidance, navigation and control (GNC), or propulsion modeling. Strong understanding of engineering simulation, numerical methods, computational modeling, and technical validation. Experience reviewing complex technical work, engineering simulations, computational models, or research outputs. Ability to assess engineering assumptions, numerical accuracy, solver convergence, and computational reliability. Strong analytical judgment and the ability to identify technical errors, edge cases, and flawed engineering assumptions. Experience mentoring, reviewing, or leading small technical teams. Excellent written communication skills for precise technical feedback and documentation.

Location: Pakistan; Indonesia; Kenya; Turkey; Nigeria; Vietnam About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Mechanical or Aerospace Engineering Expertto lead a team of technical trainers developing realistic, terminal-based engineering tasks for advanced AI training and evaluation. You will oversee a pod of approximately 5–10 trainers, review tasks for engineering accuracy and reproducibility, and ensure automated graders reliably assess technical outcomes. This role combines advanced engineering expertise, computational modeling, technical quality assurance, and team leadership to help evaluate and improve next-generation AI systems. CONTRACT: Contractor assignment, 4 weeks COMMITMENT: Hourly, up to 40h/week LOCATIONS: Remote - Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam PROCESS: AI Interview NOTES: PhD Degree is mandatory! Key Responsibilities Lead and mentor a team of 5–10 technical trainers, ensuring consistent task quality, productivity, and timely delivery. Review engineering tasks end to end, including problem statements, geometry and mesh files, simulation inputs, material properties, reference solutions, and automated tests. Validate tasks involving finite-element analysis (FEA), computational fluid dynamics (CFD), thermodynamics, heat transfer, dynamics, robotics, flight simulation, propulsion, and orbital mechanics. Ensure tasks reflect realistic mechanical and aerospace engineering workflows and require meaningful, multi-step technical reasoning. Verify engineering correctness across units, equilibrium, conservation laws, boundary conditions, mesh convergence, solver tolerances, reference frames, and numerical stability. Validate computational environments, simulation tools, solvers, and dependencies to ensure reproducible results. Review automated graders to ensure they assess meaningful engineering outputs, including stresses, deflections, natural frequencies, aerodynamic coefficients, thermal performance, orbital parameters, and safety margins. Identify technical inaccuracies, unrealistic assumptions, incorrect tolerances, and opportunities to bypass genuine engineering calculations or simulations. Provide actionable technical feedback, track revisions, and ensure quality issues are resolved before task approval. Onboard trainers, allocate work, monitor quality and throughput, resolve technical blockers, and maintain technical documentation and best practices. Requirements PhD, postdoctoral experience, or equivalent advanced technical expertise in Mechanical Engineering, Aerospace Engineering, or a closely related discipline. Strong programming skills in Python, C/C++, Fortran, Julia, or MATLAB/Octave. Proficiency in Linux and command-line environments. Hands-on expertise in at least one major area, such as FEA, CFD, dynamics, flight simulation, thermal modeling, astrodynamics, guidance, navigation and control (GNC), or propulsion modeling. Strong understanding of engineering simulation, numerical methods, computational modeling, and technical validation. Experience reviewing complex technical work, engineering simulations, computational models, or research outputs. Ability to assess engineering assumptions, numerical accuracy, solver convergence, and computational reliability. Strong analytical judgment and the ability to identify technical errors, edge cases, and flawed engineering assumptions. Experience mentoring, reviewing, or leading small technical teams. Excellent written communication skills for precise technical feedback and documentation.

Задачи: — Освоить калибровку, построение карты помещения и сценарии перемещения по заданным точкам. — Настроить удалённый доступ для диагностики (VPN, Tailscale, SSH). — Подготовить первого робота — гуманоида AgiBot A3 — к передаче в офис клиента-партнёра: протестировать, настроить сценарии, обеспечить сопровождение на старте эксплуатации. — Разобраться с персонализацией AgiBot A3, настройкой его сценариев и т.д. — Настроить ПО для робо-руки Rotrics DexArm (Starter Kit). — Изучить документацию и инструменты управления робот-собакой Xiaomi, Unitree Go2, гуманоидными роботами Unitree G1 и Noetix Robotics Bumi Standard. — Работать с остальным и обновляющимся парком роботов компании, создавать сценарии под мероприятия, участвовать в развитии услуги внедрения роботов для сторонних владельцев. Требования: — Понимание робототехники и техническая база (опыт работы с роботами, Linux). — Знание Python, C++, ROS/ROS2. — Самостоятельность выше среднего и инициативность; обучение конкретному стеку, SDK и настройкам моделей будет предоставлено. — Подойдёт студент старших курсов технического вуза или недавний выпускник профильного направления (робототехника, мехатроника). Условия: — Частичная занятость, 30–40 часов в месяц, свободный график. — Оплата по договорённости (ориентир от 50 000 ₽/мес), оформление — самозанятость (ИП или другие варианты обсуждаются индивидуально). — Доступ к современным роботам, практический опыт и профессиональное развитие внутри растущего направления.

Location: US, Boston, MA 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 Electrical Engineer on the Hardware team in Boston, you’ll design and develop the electrical systems that bring advanced humanoid robots to life. This is a hands-on role where you’ll work across the full spectrum of robotics electrical engineering—from electrical system designs, electromechanical integrations, PCB layouts, firmware and device programming, to hands-on debugging in the lab. Your work will span from small test systems to fully integrated prototype robots, and provide you with a unique opportunity to have a big impact. WHAT YOU’LL DO - Design Electrical Systems for Robotics: Develop electrical systems that power and control Humanoid’s advanced robots, with a focus on sensors, compute architecture, and power systems. - Conduct Circuit Analysis and Debugging: Use strong circuit analysis fundamentals to review electrical designs, conduct failure analysis, and troubleshoot complex electrical systems. - PCB Design and Schematic Capture: Create detailed schematics and PCB layouts using Altium, ensuring the designs meet the performance, reliability, and manufacturability standards required for robotics. - Develop Embedded Firmware: Write firmware in C and HDL to program microcontrollers, DSPs, and FPGAs, testing and refining embedded designs to ensure optimal performance. - Leverage Linux for Robotics: Utilize your knowledge of command-line Linux to configure networks, run software, and interface with robots for testing and validation. - Hands-On Lab Work: Use a variety of lab equipment, including oscilloscopes, DMMs, power supplies, programmable loads, and spectrum analyzers, to validate designs and solve complex electrical engineering challenges. - Collaborate Across Teams: Work closely with mechanical engineers, software developers, and other team members to integrate electrical systems with robotics hardware, ensuring seamless operation and performance. WHAT WE'RE LOOKING FOR - Experience with high-speed data technologies such as PCIE, Ethernet, EtherCAT and/or other communication protocols in PCB-based devices and systems. - Experience developing power regulation and distribution systems, including particular expertise with short-circuit protection systems, switching power supplies, and creative power management technologies. - Proficiency with PCB design tools (e.g., Altium) for schematic capture and layout. - Familiarity with embedded programming, including C, HDL, and other relevant languages for microcontrollers, DSPs, and FPGAs. - Working knowledge of circuit simulation, analysis, and debugging techniques, including the use of oscilloscopes, power supplies, and spectrum analyzers. - Experience with Python, C++, LabView, or MATLAB for automation and testing. - Knowledge of SolidWorks or similar mechanical CAD tools. - Familiarity with Verilog or VHDL for hardware design and simulation. - Experience in building Linux kernels and modifying or writing device drivers. Please note: few people will check every single box. If you’ve got solid electrical engineering fundamentals and strengths in some of these areas, we’d love to hear from you! WHAT WE OFFER - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources. - Generous time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays. - 401(k) retirement plan with a 4% employer match. - Meaningful equity with 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 Massachusetts, the expected base salary range is $160K–$215K USD per year; your placement in that range depends on how your experience maps to our internal leveling.

Location: US, San Diego, CA 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 an Autonomy Engineer focused in VLA Pre-training, you will work on all aspects of training capable policies. You'll pre-train base models on a diverse, multi-embodiment corpus of trajectories, fine-tune policies to excel at specific tasks, shape data collection processes, and explore effective ways to generate and use synthetic data. This is primarily a deep learning role, so we're looking for experience solving real-world problems with modern neural networks. Robotics experience isn't strictly required, but if you're coming from outside the field, be prepared to get up to speed on a new domain quickly.   WHAT YOU'LL DO - Post-train policies via behavior cloning and RL; own the full loop from data to deployment. - Partner with the Data Collection team to drive collecting new data: specify what good data looks like, identify failure modes, ensure diversity and coverage. - Work closely with external partners to ensure steady supply of high-quality pretraining-scale data. - Run pre-/mid-/post-training on VLA stack; explore new modalities and architecture changes. - Build and maintain continuous pipelines: ingest synthetic data and teleop logs, version them, apply weak‑supervision labelling, curate balanced datasets, and auto‑surface fresh failure cases into retraining. - Work with MLOps & Data Platform teams to scale distributed training and optimize models for real‑time edge inference. WHAT WE'RE LOOKING FOR - 3+ years building deep‑learning systems (industry or research) with shipped models or published artifacts to show for it. - Deep hands‑on experience with at least one of: LLMs, VLMs, or image/video generative models — architecture, training, and inference. - Experience with deep learning infrastructure: streaming datasets, checkpointing & state management, distributed training strategies. - Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code. - Familiarity with modern software engineering practices. - You document experiments clearly and communicate trade‑offs crisply. NICE TO HAVE - Robotics or autonomous driving experience. - Experience applying RL to LLMs or robotics. - Experience with VLA (vision-language-action) models. - Proven productization of deep nets (latency/throughput constraints, telemetry, on‑device optimization). - Publications at top-tier deep learning conferences or equivalent open‑source contributions. - Familiarity with OpenVLA, Physical Intelligence (π) models, or similar open source VLA frameworks. WHAT WE OFFER - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources. - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays. - 401(k) retirement plan with employer match. - Equity included–we believe builders should share in what they build. - 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 California, the expected base salary range is $180,000–$300,000 USD 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 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: 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: 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 Warehouse Operative Specialist, you will take hands-on ownership of day-to-day warehouse and inventory operations at our Vancouver site. You will be responsible for receiving, storage, inventory accuracy, cycle counting, material movement, and kitting, ensuring components are available and ready to support fast-moving prototype robot builds. As a key warehouse specialist in Vancouver, you will have the opportunity to establish and continuously improve site warehouse processes, working closely with Supply Chain, Procurement, Engineering, Production, and our global Warehouse, Inventory, Logistics & Planning (WILP) team. This role is ideal for someone who is hands-on, organized, self-directed, and comfortable taking ownership in a fast-paced hardware environment.   WHAT MAKES THIS ROLE EXCITING - Take ownership of warehouse and inventory operations for Humanoid's growing Vancouver robotics site - Directly support the development and build of next-generation humanoid robots - Help establish and improve warehouse, inventory, and material-flow processes - Work closely with Engineering, Production, Procurement, Supply Chain, and global operations teams - Operate in an environment where inventory accuracy and material availability directly impact robot builds   WHAT YOU'LL DO - Own day-to-day receiving, storage, inventory control, cycle counting, kitting, and material movement for the Vancouver site - Establish and maintain an organized stores area, location structure, labelling system, and material flow - Receive incoming deliveries, verify materials against purchase orders, inspect for damage, shortages, or non-conformance, and accurately record receipts - Maintain accurate, real-time inventory records in JIRA and inventory tracking systems - Handle ESD-sensitive, high-value, serialized, and lot-controlled components, maintaining appropriate traceability - Run regular cycle counts, investigate discrepancies, identify root causes, and maintain inventory accuracy - Monitor inventory levels and help maintain appropriate minimum, maximum, and safety-stock levels for critical and high-usage materials - Pick, stage, and deliver complete kits against BOMs and build schedules for prototype robot builds - Work closely with Engineering, Production, Procurement, and Planning to identify material shortages and build risks early - Manage material issues, unused material returns, transfers, scrap, quarantined stock, and supplier returns with accurate traceability - Prepare outbound shipments and inter-site transfers between Vancouver, London, and Boston, supporting accurate shipping and customs documentation - Track critical inbound and outbound shipments and escalate delays before they impact builds - Maintain a clean, safe, and organized warehouse environment, applying 5S principles and applicable health and safety requirements - Support asset tracking for tools, fixtures, and equipment held within the stores area - Use Excel or Google Sheets to maintain inventory reports, count plans, and variance analysis - Identify and implement practical improvements to receiving, storage, inventory, kitting, and material-flow processes - Act as a trusted point of contact for warehouse and inventory processes and support colleagues in following established procedures   WHAT WE'RE LOOKING FOR - 5+ years of hands-on warehouse, stores, inventory control, or material operations experience within a technical industry, such as robotics, electronics, aerospace, automotive, advanced manufacturing, industrial automation, or complex hardware development - Demonstrated experience supporting engineering, manufacturing, production, or prototype/R&D environments, with a strong understanding of the material-control requirements associated with complex technical products - Experience supporting prototype builds, engineering builds, NPI, or low-volume/high-complexity production - Strong experience with inventory control, cycle counting, stock reconciliation, and variance investigation - Experience with kitting and issuing materials to engineering or production against BOMs and build schedules - Ability to confidently work with BOMs, part numbers, technical documentation, and engineering drawings - Experience handling technical components and assemblies, including appropriate storage, identification, and traceability practices - Practical experience with Excel or Google Sheets, including formulas, lookups, pivot tables, and inventory reporting - Strong understanding of receiving, storage, stock movement, traceability, and inventory accuracy - Ability to work independently, prioritize competing requirements, and take ownership of day-to-day warehouse operations - Strong organizational skills with a high level of accuracy and attention to detail - Clear, proactive communication skills and the ability to collaborate effectively with Engineering, Production, Procurement, and Supply Chain teams - Ability to adapt and maintain accuracy in a fast-paced technical environment with changing build priorities   BONUS QUALIFICATIONS - Experience working with 3PL providers, carriers, and import/export documentation - Familiarity with WHMIS and Transportation of Dangerous Goods (TDG) requirements - Occupational First Aid (OFA Level 1) certification - Experience applying Lean or 5S practices - Supply chain, logistics, warehouse, or inventory certification such as APICS CPIM or equivalent WORKING CONDITIONS - On-site role in Vancouver involving regular warehouse activity and material handling. - Ability to handle items up to 23 kg / 50 lb, with appropriate equipment and reasonable accommodation provided in accordance with applicable law. - Some schedule flexibility may be required to support critical robot builds and time-sensitive deliveries.   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.   For this role in Vancouver, the expected base salary range is $60,000–$65,000 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 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.