Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA.

We are seeking a hands-on Health & Safety Technician to join our team on a contract basis, with the potential to convert to a full-time role. This is a field-forward position ideal for someone who thrives on day-to-day operational safety work rather than primarily desk-based tasks. You will be the boots-on-the-ground resource ensuring our facilities are safe, compliant, and properly organized from a safety standpoint.

Core Responsibilities

Facility Labeling & Signage
• Install, maintain, and audit required safety signage throughout the facility (hazard warnings, emergency exits, restricted areas, PPE requirements).
• Ensure all chemical containers, storage areas, and equipment are properly labeled per OSHA and GHS/HazCom standards.
• Conduct regular walkthroughs to identify missing, damaged, or non-compliant labels and signage and take corrective action promptly.

Hazardous Waste Management
• Manage the day-to-day handling, storage, and disposal of hazardous waste in compliance with EPA, state, and local regulations.
• Maintain satellite and central accumulation areas, ensuring proper labeling, containment, and recordkeeping.
• Coordinate with licensed waste disposal vendors and prepare manifests and shipping documentation.
• Track hazardous waste generation volumes and maintain compliance logs.

Incident Management
• Serve as the first responder and point of contact for workplace safety incidents and near-misses.
• Conduct thorough incident investigations to determine root causes and develop corrective action plans.
• Document and report incidents in accordance with OSHA recordkeeping requirements (300/300A logs).
• Follow up on corrective actions to ensure timely resolution and prevention of recurrence.

Safety Inspections & Audits
• Perform routine facility safety inspections, identifying hazards and non-conformances and tracking them to resolution.
• Conduct fire extinguisher, eyewash station, first aid kit, and emergency equipment checks and ensure all are in proper working order.
• Support and prepare for external regulatory inspections and audits (OSHA, EPA, local fire department).
• Maintain accurate inspection records and checklists.

General EHS Support
• Assist in the development and delivery of safety training for employees (new hire orientation, equipment-specific, emergency response).
• Support the implementation and upkeep of safety programs and written plans (IIPP, HazCom, Emergency Action Plan, etc.).
• Help maintain the EHS documentation system, ensuring records are current and organized.
• Collaborate with facilities, operations, and engineering teams on safety-related projects and improvements.

Requirements
Education & Certifications
• High school diploma or GED required; Associate’s or Bachelor’s degree in a related field is a plus. Equivalent combination of certifications and hands-on experience strongly
considered.
• OSHA 30-Hour General Industry certification and/or OSHA 40-Hour HAZWOPER certification strongly preferred.

Experience
• 3–5 years of hands-on experience in a health, safety, or environmental role, ideally in a manufacturing, R&D, robotics, or technology hardware environment.
• Demonstrated experience with hazardous waste management, safety labeling/signage programs, and conducting safety inspections.
• Experience with incident investigation and OSHA recordkeeping.

Knowledge & Skills
• Working knowledge of OSHA General Industry standards (29 CFR 1910), EPA hazardous waste regulations (RCRA), and applicable state/local regulations.
• Familiarity with GHS/HazCom labeling requirements.
• Strong attention to detail and ability to identify and document hazards accurately.
• Effective written and verbal communication skills; able to interact clearly with employees at all levels.
• Self-motivated and able to manage tasks independently with minimal supervision.
• Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint).

Personal Attributes
• Proactive and action-oriented — you don’t wait to be asked to fix a hazard.
• Comfortable with physical, hands-on work (walking the floor, installing signs, managing waste areas).
• Strong sense of ownership and accountability for safety outcomes.
• Team player who can also work independently and prioritize effectively.
• Discreet and professional when handling sensitive safety or incident information.

The US base hourly rate for this position is between $45-$55 per hour.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. 

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is based in San Jose, CA and requires 5 days/week in-office collaboration.

We are looking for a Mechanical Design Engineer with experience owning complex mechanical modules from concept through production. The ideal candidate has operated in a high-tech, fast-paced environment, is comfortable driving across multiple stakeholders, and has a strong background in design, testing, validation, and scaling hardware to production. Robotics experience is not required.

Responsibilities:

• Design structural parts and assemblies in 3D CAD that meet load, durability, manufacturability, and packaging requirements within a tightly constrained envelope
• Collaborate closely with actuator, sensing, and electronics teams to integrate subsystems into a unified hand structure
• Perform structural analysis, tolerance stack-ups, and FEA to validate design intent
• Generate accurate 2D drawings using GD&T in accordance with ASME Y14.5
• Prototype, build, and test components to validate structural performance and reliability
• Partner with supply chain, contract manufacturers, and manufacturing engineers to drive designs through NPI and into production
• Own and drive Failure Analysis & Corrective Actions (FA/CA) for issues discovered during manufacturing, testing, or field use
• Communicate clearly and proactively across a small, fast-moving team — structure touches every subsystem and requires constant cross-functional coordination
• Some international travel

Requirements: 

• 2+ years of meaningful experience in structural or mechanical engineering at a high-tech company (consumer electronics, EV, aerospace, or similar)
• Bachelor's or Master's Degree in Mechanical Engineering or related field
• Expert in 3D CAD (CATIA preferred; NX, SolidWorks, or equivalent accepted)
• Experience owning structural design end-to-end: requirements, tradeoffs, build, and validation
• Strong understanding of structural analysis, FEA, and material selection
• Experience shipping hardware at scale, including working with contract manufacturers and supporting NPI builds
• Excellent cross-functional communication and collaboration skills — ability to work across actuator, sensing, and electronics teams in a fast-paced, flat organization
• Comfortable operating in a high-ambiguity environment without rigid process frameworks

Bonus Qualifications: 

• 5+ years of experience
• Experience with body-in-white or body structures in consumer electronics or EV programs
• Production engineering experience with high-volume manufacturing

The US base salary range for this full-time position is between $120,000 - $250,000 annually.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA.

We're seeking a Deployment Staging Specialist to support our offsite data collection operations. This hands-on role involves traveling to collection homes across the country to set up realistic environments — arranging furniture, props, and scene configurations—that enable high-quality data capture for training our humanoid robots.

Your work directly impacts Figure's path to generalized humanoids by ensuring our robots learn from diverse, well-constructed real-world scenarios.

Responsibilities

• Travel to offsite data collection locations (75%+ travel required)
• Set up and configure collection home environments, including furniture arrangement, prop placement, and scene staging
• Ensure environments meet specifications for optimal data collection quality
• Coordinate with the data collection team to understand scene requirements and timelines
• Load, unload, and transport equipment, furniture, and props to collection sites
• Maintain inventory of props and equipment; report damage or replacement needs
• Troubleshoot on-site issues and adapt setups as needed
• Document site configurations and capture photos for reference
• Ensure collection spaces are safe and compliant with operational standards

Requirements

• 1+ years of experience in set design, staging, event setup, warehouse operations, or similar hands-on role
• Ability to travel 75% or more, including extended stays at remote locations
• Comfortable with physical work: lifting 30+ lbs regularly, moving furniture, standing for extended periods
• Valid driver's license and clean driving record - Comfortable driving a van
• Strong attention to detail and ability to follow setup specifications precisely
• Self-starter who can work independently with minimal supervision
• Good communication skills and ability to coordinate with remote teams
• Flexibility to adapt to changing schedules and site conditions
• Must be able to pass a background check

Bonus Qualifications:

• Familiarity with smart home devices or consumer electronics setup
• Experience with inventory management or logistics
• Basic photography skills for documenting site configurations
• Forklift certification or experience with equipment handling
• Experience in film/TV production, photography sets, or real estate staging

This is a contract position with potential to convert to full time, based on performance and business needs. The US base hourly range for this contract position is $28 - $38/hr.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

About the Company

DiDi's autonomous driving unit was established in 2016 with the mission of developing Level 4 autonomous driving (AD) technology to make transportation safer and more efficient. In August 2019, the unit became an independent company, DiDi Autonomous Driving, dedicated to advanced AD R&D, product application, and business expansion. We believe integrating AD technology into a shared-mobility fleet will generate immense social value. By leveraging DiDi's specialized technology, operational expertise, and integrated ecosystem, we are positioned to build and operate a highly efficient, user-oriented autonomous fleet.

• Perform optimization on simulation software under the guidance of profiler.
• Identify and resolve algorithm deficiencies that affects simulation determinism.
• Implement new simulation capabilities that fits new hardware.

• PhD, Master’s students or senior undergraduate students majoring in Computer Science or a related field.
• Strong C++ development skills with experience in performance-critical applications.
• Deep understanding of computer architecture.
• Great communication skills that fosters cross-team collaboration.
• Familiarity with robotics (perception, motion planning) is a plus.
• Experience with GPU/CUDA programming is a bonus.
  

The hourly rate for the Intern position in the selected city is $46.

I acknowledge that prior to submitting this application, I have read and accepted the Privacy Notice for California Residents which is available on https://v.didi.cn/AQnxlBa

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA.

We are looking for a Materials Handler to support production by delivering parts to the assembly line and ensuring good inventory management.

Shift: 10:00am - 10:30pm, Monday - Friday

Responsibilities:

• Warehouse Management: Organize, stock and validate count of production materials using a warehouse management system while ensuring accurate record-keeping.
• Kitting Parts: Compile parts into an assembly kit based on Bill of Materials.
• Production Support: Receive, store and account for incoming inventory from suppliers. Deliver materials to designated workstations on the assembly line according to production schedule and build requirements.
• Removing used packaging materials and kits from the line for disposal and replenishment. 
• Quarantine of suspect parts for engineering escalation.
• Documentation & Tracking: Properly document material movement, including check-ins and check-outs, in the inventory system to maintain precise stock levels.
• Cycle Counts & Audits: Conduct regular cycle counts and participate in inventory audits to reconcile discrepancies and maintain accurate stock records.
• Coordination with Teams: Communicate effectively with warehouse, supply chain, and production teams to address material needs and resolve shortages promptly.
• Safety & Compliance: Follow company safety protocols, material handling procedures, and workplace organization standards (5S, FIFO, etc.)

Requirements: 

• Respectful work attitude with a championship mindset
• Excellent time management skills and a commitment to punctuality
• Previous experience in materials handling, inventory management, or warehouse operations, preferably in a manufacturing environment.
• Proficiency in using inventory management systems and tracking tools such as barcode scanners.
• Strong attention to detail with a methodical approach to documentation and organization.
• Ability to lift and transport materials safely (up to 50 lbs as required).
• Basic understanding of manufacturing processes and production workflows.
• Excellent communication skills and ability to work effectively in a team setting.

Bonus Qualifications:

• Experience with high tech manufacturing tools and automation
• Experience with robotic systems, automation, or electromechanical assembly
• Forklift or other powered equipment certification (preferred but not required).

The US hourly range for this full-time position is between $25/hr to $35/hr plus a 7% pay differential for the swing shift.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. 

About The Company

DiDi's autonomous driving unit was established in 2016 with the mission of developing Level 4 autonomous driving (AD) technology to make transportation safer and more efficient. In August 2019, the unit became an independent company, DiDi Autonomous Driving, dedicated to advanced AD R&D, product application, and business expansion. We believe integrating AD technology into a shared-mobility fleet will generate immense social value. By leveraging DiDi's specialized technology, operational expertise, and integrated ecosystem, we are positioned to build and operate a highly efficient, user-oriented autonomous fleet.

About The Role

We are seeking a Software Engineer /Sr. Software Engineer to join our team and develop the core decision-making and motion planning systems for our autonomous vehicles. In this role, you will be responsible for creating the algorithms that enable smooth, safe, and intelligent navigation in complex environments. You will tackle challenges across the full motion planning stack, from high-level behavioral reasoning to low-level trajectory optimization.

Responsibilities

• Design and implement the core Behavioral Planning logic that determines the vehicle's high-level actions (e.g., lane changes, merges, yields, and interactions with other agents).
• Develop and optimize the motion planning algorithms that execute behavioral decisions, integrating Geometry Reasoning (path) and Speed Reasoning (velocity) into a cohesive trajectory.
• Architect and enhance the geometry system for generating geometrically feasible and compliant paths.
• Architect and refine the velocity system for generating context-aware, comfortable, and safe velocity profiles.
• Model complex driving scenarios and agent interactions to create a robust world model for the behavioral planner.
• Design different costs for trajectory ranking to trade off ETAs, comfort and safety of the vehicle behaviors.
• Conduct in-depth analysis, testing, and debugging of the system's performance in various scenarios, leading root cause investigations.
• Collaborate with Prediction, Perception, and Control teams to ensure a seamless flow from environmental understanding to physical vehicle motion.
  
  

Qualifications

• B.S./M.S. in Computer Science, Robotics, or a related field.
• Experience in autonomous systems, robotics, or automotive software development.
• Strong proficiency in C++ for implementing complex, real-time algorithms.
• Solid understanding of robotics fundamentals, including decision-making, motion planning, control theory, trajectory ranking, search and optimization algorithms etc.
• Related experience in one or more of the following: behavioral planning, motion planning, behavior and world environment reasoning, trajectory ranking and cost design.
  
  

Preferred Qualifications

• PhD or internship experience related to robotics planning system designs.
• Knowledge of vehicle dynamics and longitudinal/lateral control systems.
• Solid understanding of machine learning principles, reinforcement learning and related algorithms.
  
  

The base salary range for this position is $129,189-$214,776 for Software Engineer and $148,594-247,038 for Sr. Software Engineer, annually in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

I acknowledge that prior to submitting this application, I have read and accepted the Privacy Notice for California Residents which is available on https://v.didi.cn/AQnxlBa

About The Team

As part of the mission at Archer, we’re scaling production of our cutting-edge Electric Propulsion System (EPS) — the heart of our eVTOL aircraft. EPS comprises the Electric Motor, Inverter and Propeller assemblies and represents one of the most technically demanding, highly automated manufacturing systems in our factory.

We’re looking for a Lead Powertrain Manufacturing Engineer to bridge the gap between design and high-volume production. We are specifically seeking an expert in Battery/HVPS (High Voltage Power Supply) assemblies, though we are also eager to speak with leaders experienced in Electric Drive Units (EDU) or EPS systems. If you have a track record of scaling capacity through strategic CapEx and continuous improvement, we want you to help us build world-class hardware from the ground up.

What You’ll Do:

• Build & Mentor a High-Performing Team: Lead and develop a multi-disciplinary engineering squad, providing technical mentorship to a team ranging from Associate to Senior Engineers
• Scale World-Class Infrastructure: Own the full lifecycle of major CapEx projects, from initial factory layout and equipment sourcing to final commissioning and handover
• Drive Technical Excellence: Serve as the Subject Matter Expert for Battery/HVPS assembly or Electric Drive Units (EDU), overseeing complex processes such as stator manufacturing, gearbox assembly, and End-of-Line (EOL) testing
• Bridge Design & Production: Lead the transition from concept to high-volume manufacturing, maintaining the agility to design production lines "at risk" while product specifications are still being finalized
• Optimize for "Automotive Pulse": Thrive in a high-pressure, high-cadence environment where you’ll solve complex continuous improvement challenges to support aggressive production targets
• Strategic Resource Management: Manage vendor relationships and internal stakeholders to ensure capacity increases stay on track, on budget, and ahead of the technology curve.

What You Need:

• Bachelor’s degree in Mechanical, Electrical, or Manufacturing Engineering (or equivalent)
• Powertrain Expertise: 7+ years of experience in EV or Aerospace manufacturing, with deep technical knowledge of Battery/HVPS assembly or Electric Drive Units (EDU) including stator, rotor, or gearbox production
• CapEx Ownership: Proven track record of managing large-scale projects ($10M+), driving the entire lifecycle from equipment specification and commissioning to full-scale production handover.
• Leadership & Mentorship: Experience leading and developing multi-level engineering teams (Associate to Senior), with the ability to foster technical growth in a fast-paced, high-stakes environment
• Technical Agility: Ability to work "at risk," designing and de-risking complex production lines while product designs are still being finalized in a concurrent engineering cycle
• Automation & Systems: Proficiency in NX/AutoCAD and PLM/MES systems, with hands-on experience in industrial automation (robotics, PLCs, gantries)
• Operational Rigor: Strong foundation in GD&T, SPC, and structured problem-solving (DMAIC, 8D, or 5 Whys) to optimize OEE and develop predictive maintenance programs
• High-Cadence Mindset: A "Tesla-speed" approach to manufacturing—thriving in high-pressure environments where you must translate complex technical challenges into clear, actionable results
•  

Bonus Qualifications:

• Specialized Testing: Direct experience with Dyno testing, high-voltage battery safety validation, or advanced EOL diagnostic systems
• Industrial Automation Mastery: Expertise in programming or architecting high-speed automated assembly lines involving multi-axis robotics and vision systems
• Regulatory & Quality Standards: Familiarity with aircraft conformity, configuration management, or IATF 16949/AS9100 quality frameworks
• Advanced CAD/Sim: Expert-level proficiency in NX for factory layout and experience using simulation tools to model line throughput and bottlenecks

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications.

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $182,500 - $228,100. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Archer is committed to provide a safe workplace and a safe aircraft. This is a safety sensitive designated role. Employment in safety sensitive positions is contingent on successful passage of a background check and is subject to pre-employment and random drug screening.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

About the Role

The Director of Flight Software & Algorithms will lead the teams responsible for developing the core flight software, guidance/navigation/control (GNC) algorithms, autonomy capabilities, and safety‑critical onboard systems that power Archer’s aircraft. This leader will drive technical strategy, execution, and cross‑functional alignment across software, avionics, systems engineering, and flight test.

This role requires deep technical expertise in flight‑critical software and control algorithms, strong leadership experience, and the ability to scale high‑performing engineering teams in a fast‑paced environment.

What You’ll Do

• Lead and grow the Flight Software and Algorithms organization, including embedded software, GNC, autonomy, and simulation teams.
• Own the architecture, development, integration, and validation of all flight‑critical and safety‑critical software.
• Oversee development of real‑time embedded software for flight computers, motor controllers, sensors, and avionics systems.
• Drive the design and implementation of GNC algorithms, state estimation, fault detection, and flight‑control logic.
• Partner closely with Systems Engineering, Avionics, Flight Controls, and Flight Test to ensure seamless integration and aircraft‑level performance.
• Establish software development processes aligned with DO‑178C, ARP4754A, and other relevant certification standards.
• Define long‑term technical strategy for autonomy, advanced control systems, and next‑generation flight software architectures.
• Ensure robust simulation, modeling, and hardware‑in‑the‑loop (HIL) environments to support rapid iteration and validation.
• Build a culture of technical excellence, accountability, and continuous improvement.
• Represent the organization in design reviews, certification discussions, and executive‑level program updates.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Aerospace Engineering, Electrical Engineering, Robotics, or related field.
• 12+ years of experience in flight software, embedded systems, GNC, or autonomy for aerospace or robotics systems.
• 5+ years of engineering leadership experience managing managers and senior technical leaders.
• Proven experience delivering safety‑critical or real‑time embedded software for aircraft, spacecraft, or autonomous vehicles.
• Deep understanding of control theory, estimation, navigation, and flight‑control algorithms.
• Strong familiarity with DO‑178C, ARP4754A, and safety‑critical development processes.
• Demonstrated ability to scale teams, set technical direction, and drive execution in a fast‑moving environment.

Preferred Qualifications

• Experience with eVTOL, electric propulsion, or novel aircraft configurations.
• Background in autonomy, advanced perception, or AI‑enabled control systems.
• Experience with hardware‑in‑the‑loop testing, simulation frameworks, and real‑time operating systems (RTOS).
• Prior involvement in aircraft certification programs.
• Strong cross‑functional leadership skills and ability to influence at all levels.

What We Look For

• Passion for aviation and sustainable transportation.
• Ability to thrive in ambiguity and build structure where needed.
• Strong communication skills and a collaborative leadership style

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications. At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company's business strategy. For this position we are targeting a base pay between $250,000 - $330,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience. Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodations for any part of the application or hiring process should provide their name and contact information to Archer's People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

About the Role

We are seeking a highly skilled and hands‑on Software AI Ops & Tools Lead to drive the development, integration, and optimization of advanced software systems that power our next‑generation eVTOL aircraft. This role sits at the intersection of AI, autonomy, infrastructure, and engineering operations—playing a critical part in shaping the future of urban air mobility.

As a technical leader, you will architect and implement scalable tools, platforms, and workflows that enable our engineering teams to build, test, and deploy intelligent, safety‑critical software. You will work closely with cross‑functional partners across Autonomy, Machine Learning, Flight Software, Infrastructure, and Systems Engineering to ensure our AI‑driven capabilities are robust, reliable, and production‑ready.

This is a hands‑on leadership position for someone who thrives in fast‑paced environments, enjoys solving complex technical challenges, and wants to make a direct impact on the future of aviation.

Key Responsibilities

Leadership & Strategy

• Lead the vision, roadmap, and execution for AI‑driven software tools, infrastructure, and operational workflows.
• Provide hands‑on technical leadership while mentoring and developing a high‑performing engineering team.
• Partner with Autonomy, ML, Software, and Infrastructure teams to define requirements and deliver scalable solutions.
• Drive best practices in software development, testing, deployment, and monitoring for AI‑enabled systems.

AI, Machine Learning & Autonomy Integration

• Build and maintain tools and pipelines that support AI/ML model development, simulation, validation, and deployment.
• Develop systems that integrate AI and autonomy algorithms into flight‑critical and mission‑critical software stacks.
• Ensure reliability, traceability, and performance of AI/ML components across the full lifecycle—from research to production.

Software Infrastructure & Operations

• Design and implement scalable infrastructure for data processing, model training, simulation, and continuous integration.
• Develop internal tools that improve developer productivity, system observability, and operational efficiency.
• Own the end‑to‑end software operations ecosystem, including build systems, testing frameworks, and deployment pipelines.
• Ensure compliance with aviation‑grade safety, reliability, and certification requirements.

Cross‑Functional Collaboration

• Work closely with hardware, systems, and flight test teams to ensure seamless integration of AI‑enabled software.
• Collaborate with leadership to align technical decisions with company‑wide goals and aircraft development milestones.
• Communicate complex technical concepts clearly to both technical and non‑technical stakeholders.

Qualifications

• 10+ years of experience in software engineering, with significant experience in AI/ML, autonomy, or robotics.
• Proven track record in hands‑on technical leadership roles.
• Deep expertise in building tools, platforms, and infrastructure for AI/ML development and deployment.
• Strong understanding of distributed systems, cloud infrastructure, CI/CD, and developer tooling.
• Experience integrating AI/ML algorithms into real‑time or safety‑critical systems is highly preferred.
• Background in robotics, autonomy, aerospace, or related fields is a strong plus.
• Passion for advancing the future of aviation and autonomous flight.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis. 

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications. At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company's business strategy. For this position we are targeting a base pay between $200,000 - $250,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience. Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodations for any part of the application or hiring process should provide their name and contact information to Archer's People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

About The Role:

As part of Archer’s mission to scale production of our cutting-edge eVTOL aircraft, we are seeking an Sr. Automation Controls Engineer to help design and build manufacturing automation at scale. This role goes beyond maintaining existing lines—it’s about architecting intelligent manufacturing systems from the ground up. We’re looking for a hands-on technical engineer who thrives on turning complex designs into reliable, scalable solutions, bridging the gap between early R&D concepts and flight-ready hardware.

The primary objective of this role is to collaborate with cross-functional teams to develop innovative machine and process concepts. You will lead the full controls system lifecycle, including programming PLCs, HMIs, robotics, and servo drives. In addition, this role involves drafting detailed electrical schematics and overseeing the procurement and fabrication of electrical control panels.

What You’ll Do:

• Assist in the development of high-volume production systems, from early process feasibility studies through scalable production
• Contribute to the development of Equipment Development Standards and templates to drive hardware and software standardization across the factory
• Partner with external system integrators to deliver equipment that meets Archer standards and specifications
• Provide machine design feedback from an electrical, controls, and machine/operator safety perspective; drive implementation with cross-functional teams to ensure compliance with regulatory requirements, Archer standards, equipment specifications, and field labeling
• Support installation, commissioning, and qualification of new equipment and tooling alongside system integrators
• Develop, deploy, and validate MES interfaces to production equipment
• Build HMIs from scratch and improve existing HMIs, with a focus on ignition and V8 systems
• Support in-line troubleshooting of electrical systems, control panels, field devices, and safety interlock circuits
• Develop comprehensive handoff packages for production and sustaining engineering teams
• Support continuous improvement efforts by identifying opportunities to improve quality, increase throughput, and reduce cost
• Specify and select controls and safety hardware, and program devices for prototype lines and internally developed equipment

What You Need:

• Bachelor’s degree in Electrical Engineering, Mechatronics, Mechanical Engineering, Computer Science, or related field, or equivalent hands-on automation experience
• 6+ years of hands-on experience in an industrial automation, controls, or manufacturing equipment environment
• Experience working as a Controls Engineer, Automation Engineer, Electrical Engineer, Applications Engineer, or Equipment Engineer
• Hands-on PLC programming experience, including:
• Allen-Bradley (primary)
• Beckhoff (nice-to-have)
• Siemens (nice-to-have / future-focused)
• Ability to modify existing PLC programs and/or develop logic from scratch
• Experience supporting automated manufacturing equipment or production lines
• Strong hands-on electrical troubleshooting skills
• Ability to read and understand electrical schematics
• Experience using AutoCAD Electrical and/or EPLAN (both acceptable)
• Familiarity with industrial communication protocols (e.g., Ethernet/IP or equivalent)
• Experience developing or supporting HMI systems
• Ignition experience is a plus, not required
• Exposure to SQL databases for logging, recipes, or data exchange between PLCs and higher-level systems
• Willingness to work onsite in a hands-on manufacturing environment
• Ability to travel up to ~20% (primarily domestic, later-phase support)

Bonus Qualifications:

• NFPA 70E certification
• RIA certifications (e.g., Certified Vision Professional, Certified Motion Control Professional)
• Hands-on experience with battery module and/or pack manufacturing
• Experience with PFMEA development
• Experience with NX and Teamcenter

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications.

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $126,700 - $158,400. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience. 

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

About the Role

As part of the mission at Archer, we’re scaling production of our cutting-edge Electric Propulsion System (EPS) — the heart of our eVTOL aircraft. EPS comprises the Electric Motor and Propeller assemblies and represents one of the most technically demanding, highly automated manufacturing systems in our factory.

We’re looking for a Powertrain Manufacturing Engineer who is passionate about bridging design and production — someone who thrives on creating scalable manufacturing systems, optimizing complex processes, and building world-class hardware from the ground up.

What You’ll Do:

• Contribute to the design and scaling of Archer’s Electric Propulsion System production line — from concept to high-rate manufacturing — including layout, automation strategy, tooling, and ramp-up planning.
• Collaborate cross-functionally with Product Design, Quality, Facilities, and Manufacturing teams to bring new electric motor and propeller systems into production.
• Design for Manufacturability (DFM) efforts to ensure products are built efficiently, safely, and at scale.
• Develop and execute comprehensive manufacturing build plans — defining part flow, line layout, tools, equipment, and the manufacturing bill of materials (MBOM).
• Specify and validate automation systems, tooling, and test equipment to support high-reliability production.
• Perform PFMEA (Process Failure Mode & Effects Analysis) to proactively identify and mitigate risk in the production system.
• Author and approve detailed work instructions for EPS assembly and installation.
• Support first article builds and production validation testing to ensure process stability and repeatability.
• Drive continuous improvement through Lean, Six Sigma, and structured problem-solving methodologies.

What You’ll Bring:

• Bachelor’s degree in Electrical, Mechanical, or Manufacturing Engineering (or equivalent).
• 3+ years of relevant experience in manufacturing engineering — preferably in EV, aerospace, or advanced hardware production.
• Hands-on experience in equipment commissioning, OEE improvement, and maintenance program development (preventive/predictive).
• Experience building mechanical and electronic assemblies using sophisticated manufacturing tools and equipment.
• Knowledge of CAD, PLM, MES, and ERP systems.
• Strong foundation in GD&T and statistical process control (SPC).
• Demonstrated ability to use structured problem-solving tools such as DMAIC, 8D, or 5 Whys.
• Well-developed communication and documentation skills — able to translate complex technical challenges into clear actions.
• Self-starter attitude with the ability to thrive in a fast-paced, highly regulated environment.

Bonus Points:

• Experience with EV Drive Unit (DU) manufacturing — rotor, stator, or gearbox assembly.
• Background in industrial automation (PLC, robotics, gantries).
• Familiarity with high-voltage systems, batteries, or electric motors.
• Knowledge of aircraft conformity or configuration management.
• Experience with NX and AutoCAD.
• Willingness to travel up to 10%.

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications.

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $126,700 - $158,400. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

About the Role

As part of the mission at Archer, we’re scaling production of our cutting-edge Electric Propulsion System (EPS) — the heart of our eVTOL aircraft. EPS comprises the Electric Motor, Inverter and Propeller assemblies and represents one of the most technically demanding, highly automated manufacturing systems in our factory.

We’re looking for a Powertrain Manufacturing Engineer who is experienced with power electronic assemblies and is passionate about bridging design and production — someone who thrives on creating scalable manufacturing systems, optimizing complex processes, and building world-class hardware from the ground up.

What You’ll Do:

• Contribute to the design and scaling of Archer’s Electric Propulsion System production line — from concept to high-rate manufacturing — including layout, automation strategy, tooling, and ramp-up planning.
• Collaborate cross-functionally with Product Design, Quality, Facilities, and Manufacturing teams to bring new electric motor and propeller systems into production.
• Design for Manufacturability (DFM) efforts to ensure products are built efficiently, safely, and at scale.
• Develop and execute comprehensive manufacturing build plans — defining part flow, line layout, tools, equipment, and the manufacturing bill of materials (MBOM).
• Specify and validate automation systems, tooling, and test equipment to support high-reliability production.
• Perform PFMEA (Process Failure Mode & Effects Analysis) to proactively identify and mitigate risk in the production system.
• Author and approve detailed work instructions for EPS assembly and installation.
• Support first article builds and production validation testing to ensure process stability and repeatability.
• Drive continuous improvement through Lean, Six Sigma, and structured problem-solving methodologies.

What You’ll Bring:

• Bachelor’s degree in Electrical, Mechanical, or Manufacturing Engineering (or equivalent).
• 5+ years of relevant experience in manufacturing engineering — preferably in EV, aerospace, or advanced hardware production.
• Experience building mechanical and electronic assemblies using sophisticated manufacturing tools and equipment.
• Hands-on experience with one of the following:
• Inverter production: sensitive electronic device assembly.
• Rotor/stator/engine production: heavy machinery and pressing operations.
• Knowledge of CAD, PLM, MES, and ERP systems.
• Strong foundation in GD&T and statistical process control (SPC).
• Demonstrated ability to use structured problem-solving tools such as DMAIC, 8D, or 5 Whys.
• Well-developed communication and documentation skills — able to translate complex technical challenges into clear actions.
• Self-starter attitude with the ability to thrive in a fast-paced, highly regulated environment.

Bonus Points:

• Experience with EV Drive Unit (DU) manufacturing — rotor, stator, or gearbox assembly.
• Background in industrial automation (PLC, robotics, gantries).
• Familiarity with high-voltage systems, batteries, or electric motors.
• Knowledge of aircraft conformity or configuration management.
• Experience with NX and AutoCAD.
• Willingness to travel up to 10%.

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications.

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $126,700 - $158,400. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

About the Role

As part of the mission at Archer, we’re scaling production of our cutting-edge Electric Propulsion System (EPS) — the heart of our eVTOL aircraft. EPS comprises the Electric Motor, Inverter and Propeller assemblies and represents one of the most technically demanding, highly automated manufacturing systems in our factory.

We’re looking for a Powertrain Manufacturing Engineer who is experienced with electric motors and its integration into the higher level assembly and is passionate about bridging design and production — someone who thrives on creating scalable manufacturing systems, optimizing complex processes, and building world-class hardware from the ground up.

What You’ll Do:

• Contribute to the design and scaling of Archer’s Electric Propulsion System production line — from concept to high-rate manufacturing — including layout, automation strategy, tooling, and ramp-up planning.
• Collaborate cross-functionally with Product Design, Quality, Facilities, and Manufacturing teams to bring new electric motor and propeller systems into production.
• Design for Manufacturability (DFM) efforts to ensure products are built efficiently, safely, and at scale.
• Develop and execute comprehensive manufacturing build plans — defining part flow, line layout, tools, equipment, and the manufacturing bill of materials (MBOM).
• Specify and validate automation systems, tooling, and test equipment to support high-reliability production.
• Perform PFMEA (Process Failure Mode & Effects Analysis) to proactively identify and mitigate risk in the production system.
• Author and approve detailed work instructions for EPS assembly and installation.
• Support first article builds and production validation testing to ensure process stability and repeatability.
• Drive continuous improvement through Lean, Six Sigma, and structured problem-solving methodologies.

What You’ll Bring:

• Bachelor’s degree in Electrical, Mechanical, or Manufacturing Engineering (or equivalent).
• 7+ years of relevant experience in manufacturing engineering — preferably in EV, aerospace, or advanced hardware production.
• Experience building mechanical and electronic assemblies using sophisticated manufacturing tools and equipment.
• Hands-on experience with one of the following:
• Thrust Assembly (or EPS) classified as the completed unit, integrating the electric engine with the propeller and miscellaneous parts.
• Inverter production: sensitive electronic device assembly.
• Rotor/stator/engine production: heavy machinery and pressing operations.
• Knowledge of CAD, PLM, MES, and ERP systems.
• Strong foundation in GD&T and statistical process control (SPC).
• Demonstrated ability to use structured problem-solving tools such as DMAIC, 8D, or 5 Whys.
• Well-developed communication and documentation skills — able to translate complex technical challenges into clear actions.
• Self-starter attitude with the ability to thrive in a fast-paced, highly regulated environment.

Bonus Points:

• Experience with EV Drive Unit (DU) manufacturing
• Background in industrial automation (PLC, robotics, gantries).
• Familiarity with high-voltage systems, batteries, or electric motors.
• Knowledge of aircraft conformity or configuration management.
• Experience with NX and AutoCAD.
• Willingness to travel up to 10%.

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications.

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $152,100 - $190,100. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

About The Role:

At Archer, we’re scaling production of our High Voltage Electric Propulsion System — the heart of our eVTOL aircraft, which includes the High Voltage Battery, Electric Motor and Propeller assemblies and represents one of the most technically demanding, highly automated manufacturing systems in our factory.

We’re seeking a Sr. Process and Equipment Engineer to play a critical role in keeping the powertrain manufacturing systems running at peak performance. This role sits on the Manufacturing Design Engineering group and owns the reliability, uptime, and continuous improvement of advanced powertrain manufacturing equipment in a high-volume production environment. You'll join the team that best matches your skills: HVPS, EPS, or Automation Controls.

You’ll be hands-on, deeply technical, and accountable for solving complex manufacturing problems—often under real production pressure. The ideal candidate brings strong engineering judgment, a structured problem-solving mindset, and a bias for action. You’ll own a core technical domain while expanding your impact across our automated equipment and manufacturing ecosystem.

We are open to candidates with a mechanical/process focus, controls/automation focus, or a strong blend of both.

What You’ll Do:

• Support high-volume production and respond to equipment and process escalations 
• Troubleshoot complex electromechanical manufacturing systems and drive containment, corrective actions, and long-term improvements
• Lead root cause analysis and eliminate recurring failure modes impacting uptime and OEE
• Provide hands-on technical leadership during extended downtime events
• Own station- and line-level performance metrics and execute improvement projects
• Lead equipment upgrades, repairs, and CAPEX projects with a focus on reliability and manufacturability
• Develop and improve SOPs, work instructions, and standard processes
• Partner with Production, Maintenance, Quality, and Product Engineering to resolve process deviations and non-conformances

What You Need:

• Bachelor’s degree in Mechanical, Electrical, Mechatronics, or Robotics Engineering (or equivalent experience)
• 6+ years sustaining, commissioning, or optimizing equipment in a highly automated, high-volume manufacturing environment (aerospace, EV, or semiconductor manufacturing preferred)
• Proven ability to improve manufacturing performance metrics such as OEE
• Strong troubleshooting and structured problem-solving skills (e.g., 5 Whys, DMAIC, 8D)
• Ability to read mechanical drawings and electrical schematics
• Clear communicator with a high-ownership, bias-for-action mindset

Technical Depth:

You bring deep expertise in at least one area, with the expectation to grow into adjacent systems:

• Equipment Design & Specifications
• Process Development & MES
• Controls / Automation (PLCs, industrial systems)
• Robotics or advanced manufacturing equipment

Working knowledge of automated assembly, test systems, industrial sensors/actuators, and factory systems is expected and will deepen over time.

Bonus Qualifications:

• Experience with eMotor or battery manufacturing
• PLC platforms (Allen-Bradley, Siemens, Beckhoff)
• Robotics, vision systems, or MES integration
• NFPA 70E or RIA certifications
• PFMEA development, NX, or Teamcenter experience

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications.

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between$126,700 - $158,400. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Archer is committed to provide a safe workplace and a safe aircraft. This is a safety sensitive designated role. Employment in safety sensitive positions is contingent on successful passage of a background check and is subject to pre-employment and random drug screening.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

What you’ll do:

• Architect and lead the team managing Archer’s lab integration environments supporting validation and verification activities, handling quality evaluations, human factor evaluations and test pilot training.
• Collaborate cross-functionally with internal groups and suppliers to integrate, instrument and maintain configuration of simulation models in a real-time, integrated hardware-in-the-loop environments .
• Own end-to-end configuration of simulation environments (e.g., SIL, HIL, CeRT, Iron Bird), including data analysis and simulation correlation with flight test data.
• Develop and optimize simulation pipelines including CI/CD integration for automated deployment, execution, and monitoring.
• Integrate third-party software/hardware systems into cohesive simulation architectures.
• Set technical standards, provide mentorship, and foster a collaborative and high-performance engineering culture.
• Guide the design and build of graphical user interfaces to control the real-time simulation environment.
• Lead task decomposition, technical planning, and debugging of complex issues across real-time and distributed systems.
• Influence tool architecture in support of lab configuration and automation

What you need:

• 9+ years of experience in simulation software development and systems integration.
• Bachelor's or higher degree in Aerospace, Software, Electrical Engineering, Computer Science, or a related field.
• Seasoned technical lead for an engineering team; providing guidance in planning and execution.
• Advanced proficiency in C/C++ and Python.
• Very experienced  in MATLAB/Simulink.
• Extensive experience developing real-time HIL test infrastructures.
• Proven ability to develop simulation tools with a focus on usability, modularity, and performance.
• Expert of communication standards and protocols (RS-422/485, CAN/CAN-FD, ARINC-429, Ethernet, TCP/IP, USB etc…)
• Experience prototyping Graphical User Interfaces based on user feedback.

• Knowledgeable with software engineering practices including CI/CD (GitHub Actions, Jenkins), test-driven development, and agile methodologies.
• Strong problem-solving and debugging skills with a proactive, solutions-oriented mindset.
• Comfortable working in cross-disciplinary teams and mentoring junior engineers.
• Comfortable leading Agile/SCRUM methodologies and tools throughout the organization
• Familiarity with Tool Qualification Levels TQL

Preferred Qualifications

• Experience with aerospace, spacecraft, or robotics systems—including modeling of flight dynamics, sensor-actuator loops, or avionics.
• Proficiency in the NI software suite (LabVIEW, VeriStand).
• Experience developing and troubleshooting custom code (i.e. plugins, logical devices, custom devices) for real-time OS
• Background in simulation infrastructure for VTOL, rotorcraft, or autonomous vehicles.
• Understanding of control theory, GNC algorithms, and physics-based modeling.
• Hands-on experience with HIL/SIL test rigs, hardware communication protocols, and test instrumentation.
• Exposure to regulatory frameworks (FAA, DoD, NASA) and test certification environments.
• Startup or fast-paced development experience is a plus.
• Experience automating and executing test plans.
•  Experience with DO-178 and other aviation standards  
• Familiarity with fault injection methodologies.
• Familiarity with lab equipment such as oscilloscopes, logic analyzers and protocol analyzers.

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $170,000 - $215,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Figure is an AI Robotics company developing a general purpose humanoid. Our Humanoid is designed for corporate tasks targeting labor shortages and jobs that are undesirable or unsafe. We are based in San Jose, CA and require 5 days/week in-office collaboration.

We are looking for a Data Quality Partner Lead to build Figure’s external annotation and review vendor network from scratch. You will source, evaluate, onboard, and manage the BPOs, specialized labeling firms, and crowdsourcing platforms that extend our data quality capacity.

Responsibilities:

• Own Figure’s external annotation and review vendor strategy end to end, from sourcing through onboarding through ongoing performance management
• Build the vendor pipeline from zero by identifying and engaging BPOs, specialized labeling firms, crowdsourcing platforms, and emerging providers in the AI data ecosystem
• Run structured evaluations of prospective vendors, including pilots, quality benchmarking, and capacity testing, and make clear recommendations on who to scale with
• Translate the Data Quality team’s standards and methodologies into vendor specs, making sure the bar we set internally is the bar our partners deliver against
• Stand up the operating model for managing partners at scale, including scorecards, escalation paths, and the tooling

Requirements:

• 5+ years in vendor management, BPO/outsourcing partnerships, strategic sourcing, or operations roles with significant external partner ownership
• Track record of building or scaling a vendor function from an early stage, ideally in a domain where quality was the primary lever
• Comfortable rapidly building and deploying apps/agents using AI coding tools to build internal tools, dashboards, and trackers (zero technical academic background necessary)
• Excellent written and verbal communication skills, especially when setting expectations with external partners
• Comfortable operating with ambiguity and managing multiple concurrent partner relationships
• Low ego, team player with can-do attitude

Bonus Qualifications:

• Direct experience managing data annotation, labeling, or content review vendors
• Background at a frontier AI lab, autonomous vehicle company, or other organization where data quality at scale was a core problem
• A passion for helping scale the deployment of learning humanoid robots

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

The US base salary range for this full-time position is between $120,000 – $180,000 annually.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human-level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA.

Data quality is one of the most important and least solved problems in humanoid robotics. The standards, tooling, and methodologies that worked for prior generations of AI, image classification, language, autonomous driving, don’t map cleanly onto the multimodal, embodied, sensor-rich data that Helix and our other AI systems learn from.

We are looking for a Data Quality Manager to own data quality at Figure end-to-end — setting the standards, building the tooling, and leading the team that produces the training data behind Helix and our other AI systems. This is not a labeling-team management role. We’re looking for a strategic operator and thought partner who will define what the next generation of data quality and annotation looks like for the humanoid robotics industry.

Responsibilities:

• Own data quality broadly at Figure — setting the strategy, standards, and operating model for how training data is produced, evaluated, and improved across all of our AI systems
• Own data quality metrics, including accuracy, consistency, rework rates, and guideline adherence across all labeling projects
• Define the standards, guidelines, QA methodologies, and audit processes for humanoid robot training data, effectively writing the playbook for an annotation discipline that doesn’t yet exist outside of a handful of frontier robotics labs
• Serve as a thought partner to the Helix team across all aspects of AI model development, helping shape what data we collect, how we evaluate it, and how data quality decisions feed into model behavior
• Develop onboarding and ongoing training programs for new and existing labelers
• Review edge cases and ambiguous annotations, driving resolution and guideline updates in collaboration with the ML team
• Partner with engineering to design and develop new internal tooling for annotation, QA, and data review

Requirements:

• 8-10+ years of experience leading operational or data teams in a fast-paced environment, including hiring, performance management, and coaching
• Strong analytical and problem-solving skills, with the ability to diagnose quality issues and implement corrective actions
• Experience managing large-scale data quality or annotation operations
• Excellent written and verbal communication skills, especially when documenting standards and providing feedback using data
• Ability to manage competing priorities and time-sensitive deliverables under pressure
• High attention to detail and a strong quality-first mindset
• Proficiency in Google Workspace (e.g., Sheets) and operational or workflow management tools

Bonus Qualifications:

• Experience working with robotics, autonomy, or sensor-derived data
• 10+ years of experience leading skilled teams operating complex or early-stage technology
• A passion for helping scale the deployment of learning humanoid robots

The US base salary range for this full-time position is between $140,000 – $200,000 annually.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human-level intelligence. Our robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA and require 5 days/week in-office collaboration. It’s time to build.

We are looking for an AI Data Operations Lead to join Figure's Operations org and own a meaningful slice of how we produce human data for our humanoid robots. Data is one of the largest and most strategic functions at Figure, and this is a foundational role within it. You will solve zero-to-one problems and coordinate the development of new hardware, software, and operational systems with engineering and product.

Responsibilities:

Day one, you will own a meaningful piece of Figure's data collection operation. You'll be hitting volume, quality, and velocity targets, building the systems that get us there, and partnering across engineering, product, and ops to make it happen. Specific responsibilities include:

• Owning contributor acquisition, activation, and retention strategy and execution
• Identifying and launching in new geographies, managing localization, partnerships, and community building to establish presence in target regions
• Coordinating with engineering, product, and ops to develop the new hardware, software, and operational systems
• Owning your category’s data dashboard — tracking volume, quality, and throughput metrics daily, identifying bottlenecks, and shipping operational fixes fast
• Sourcing, negotiating, and managing relationships with local partners, agencies, and vendors to accelerate growth
• Serving as the connective tissue between your contributors and internal teams — surfacing hardware/software friction, translating field feedback into actionable product improvements, and advocating for your workstreams' needs

Requirements:

• 4+ years in investment banking, management consulting, corporate development, growth, or startup operations roles, ideally with exposure to a frontier technology business
• Comfortable rapidly building and deploying apps/agents using AI coding tools (zero technical academic background necessary)
• Demonstrated ability to own outcomes
• Exceptional written and verbal communication skills
• Experience working across cultures or in international markets
• Highly organized with strong project management instincts — comfortable managing multiple contributors, sessions, or sites simultaneously and keeping all plates spinning
• A commitment to 5 days/week in-office collaboration

Bonus Qualifications:

• Experience scaling consumer mobile applications or marketplace platforms
• Background in AI/ML companies or understanding of data collection for machine learning
• Prior experience in emerging markets or with distributed workforces
• Fluency in additional languages
• Experience managing physical-world operations (events, field crews, hardware logistics) in addition to digital platforms

The US base salary range for this full-time position is between $175,000 - $200,000 annually.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and industrial markets. Figure is headquartered in San Jose, CA.

Responsibilities: 

• Own end-to-end planning and execution of all Figure corporate events, including conferences, HQ demos, podcasts, and C-suite appearances 
• Coordinate across commercial teams, corporate development teams, and engineering teams to ensure successful robot demonstrations at Figure and externally 
• Responsible for messaging and consistency across events

Requirements: 

• 1-3 years in program manager, investor relations, corporate development, or chief of staff role 
• Great communicator 
• Experience with events management. 
• Excellent judgment and execution in high pressure situations
• Highly organized and ability to work autonomously
• Strong attention to detail, with ability to take action and execute on a condensed timeline 
• Low ego, team player with can-do attitude

The US base salary range for this full-time position is between $100,000 - $150,000 annually.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

Director of Strategic Partnerships (Semiconductor)

Summary:

• You will build and maintain strong relationships with leading AI platform companies, across their Automotive and Robotics organizations, in engineering, product, platform architecture, procurement, and executive leadership teams, within the key partner's organizations. This is a Hybrid-based position based in San Jose, CA.

Key Responsibilities:

• Represent Ethernovia as a trusted long-term technology partner and work closely with customer and ecosystem teams to position Ethernovia solutions within Automotive and Robotics reference designs and platform roadmaps.
• Coordinate cross-functionally with internal engineering, product, marketing, and executive teams to support strategic engagements and drive execution.
• Identify new partnership opportunities across adjacent product areas, emerging platform programs, developer ecosystems, and joint go-to-market initiatives.
• Provide structured market and competitive intelligence to Ethernovia leadership including insights into partner priorities, industry direction, and evolving trends in AI infrastructure, networking, robotics, and autonomous systems.
• Significant experience working with leading AI, semiconductor, or infrastructure companies and understand how large technical organizations operate and make decisions.
• Engage directly with semiconductor hardware architects, engineering teams, and senior business leaders and bring strong technical knowledge of Ethernet networking, high-speed interconnects, SerDes, PHY/MAC architectures, and sensor connectivity for AI or autonomous systems.
• Think strategically about ecosystems, platform adoption, and long-term market positioning rather than focusing only on transactions.

Required Experience & Skills:

• Semiconductor Industry Veteran: 12+ years of experience in strategic partnerships, business development, or technical sales within Semiconductors, AI infrastructure, networking, or HPC
• Existing relationships across the Silicon Valley AI and semiconductor ecosystem
• Strong technical understanding of Ethernet networking, high-speed interconnects, SerDes, PHY silicon or sensor networking architectures
• Experience driving silicon or platform technologies into strategic customer programs or reference designs
• Proven ability to navigate large cross-functional organizations and complex partnership cycles
• B.S. in Electrical Engineering, Computer Science, or related field required
• M.S. or MBA preferred

Nice to Have (The "Competitive Advantage"):

• Experience with ROS / ROS2, Isaac Sim, CUDA, etc
• Understanding and experience of OSI network layers 2+
• Experience of Ethernet switches and understanding of IEEE802.1 protocols
• Experience with TSN protocols
• Experience with PCIe protocols and topologies

Personal Skills:

• Excellent communication/documentation skills with ability to discuss technical or business information from Engineering to C-suite executives
• Attention to details
• Strong internal collaboration skills across product, engineering, marketing, and executive team located throughout the world 
• Highly self-directed, organized, and proactive with strong follow-through. Able to work effectively both independently and in a team
• Ability to identify organizational dynamics and key decision makers inside large companies
• Entrepreneurial mindset with willingness to travel frequently and spend significant time onsite with partners

What You Can Expect From Ethernovia:

• Technology depth and breadth expansion that can’t be found in a large company
• Opportunity to grow your career as the company grows
• Pre IPO stock options
• Cutting edge technology
• World class team
• Competitive base salary
• Flexible hours
• Medical, dental and vision insurance for employees

Salary Range:

• The actual offered base salary for U.S. locations will vary depending on factors such as work location, individual qualifications, specializations, years of experience, skills, job-related knowledge, and internal equity. The annual salary range for this position is $200,000 - $275,000. The compensation package will also include incentive compensation in the form of pre-IPO ISO options, as well as eligibility for performance bonuses, in addition to base salary and a full range of medical and other benefits.

* Principals Only (No Agencies)

#LI-Hybrid

Principal Application Engineer Lead (Semiconductor HW & SW)

Summary:

• You will support Ethernovia’s field team and local customers developing next-generation Automotive, Robotics, and Physical AI platforms to help integrate Ethernovia’s high-performance Ethernet solutions into advanced hardware & software systems. This is a Hybrid-based position based in San Jose, CA.

Key Responsibilities:

• Interface between Ethernovia’s field team and engineering teams, you will bring strong technical competence and the ability to communicate effectively across our multinational teams
• Work closely with field application and business development teams around the world along with internal hardware, software and architecture teams, to support customer designs from early concept and development through validation and production.
• Hands-on role that requires strong problem-solving skills and the ability to operate across fast-moving technical programs
• Work directly with customer engineering teams and the field teams on complex system integration challenges involving high-speed networking, sensor connectivity, AI compute platforms and robotics architectures.
• Day-to-day activities include;
  • Creating design collateral
  • Close collaboration with system and engineering teams
  • Technical customer support and system bring-up
  • Debugging to support integration efforts across Automotive and Robotics applications including sensor fusion and autonomous systems and AI-driven platforms

Required Experience & Skills:

• Semiconductor Industry: 10+ years of embedded development experience with focus on both hardware and software
• Hands-on design experience with at least one of the following:
  • Ethernet PHYs
  • Ethernet switches
  • PCIe 
• Ability to diagnose and debug problems effectively
• Excellent team working abilities across global teams and confident interacting with engineers through to executive management
• Automotive experience at Tier 1, Tier 2 or OEM level
• B.S. or M.S. in Electrical Engineering

Nice to Have (The "Competitive Advantage"):

• Good understanding of embedded software drivers
• Understanding and experience of OSI network layers 2+
• Experience of Ethernet switches and understanding of IEEE802.1 protocols
• Experience with TSN protocols
• Experience with PCIe protocols and topologies
• Experience covering high speed PCB board design, layout and routing constraints
• Experience with ROS / ROS2, Isaac Sim, CUDA, etc

Personal Skills:

• Excellent communication/documentation skills
• Attention to details
• Collaboration across multidisciplinary and international teams
• Self-motivated and able to work effectively both independently and in a team

What You Can Expect From Ethernovia:

• Technology depth and breadth expansion that can’t be found in a large company
• Opportunity to grow your career as the company grows
• Pre IPO stock options
• Cutting edge technology
• World class team
• Competitive base salary
• Flexible hours
• Medical, dental and vision insurance for employees

Salary Range:

• The actual offered base salary for U.S. locations will vary depending on factors such as work location, individual qualifications, specializations, years of experience, skills, job-related knowledge, and internal equity. The annual salary range for this position is $180,000 - $240,000. The compensation package will also include incentive compensation in the form of pre-IPO ISO options, as well as eligibility for performance bonuses, in addition to base salary and a full range of medical and other benefits.

* Principals Only (No Agencies)

#LI-Hybrid

About The Team 

Noah Medical is recruiting for a Product Support Engineer to facilitate operational and service engineering support of Noah medical products and digital platforms. The Product Support Engineer serves as a primary liaison between Noah’s internal technical groups (Engineering, Quality, Manufacturing) and the various internal and external departments supporting Service (Field and Customer Service, Clinical Sales, and Marketing). 

The role should expect to travel within the United States up to 25% of the time. This travel may include customer visits, managing escalations, team meetings, attending conferences, or other activities to support the business. 

 A Day In the Life of a Product Support Engineer 

• Provide real-time troubleshooting support for escalations from internal customers (Field Service, Sales & Marketing) 

• Serve as a primary technical liaison between Noah Medical and commercial partners, distributors, and key customer accounts, building strong relationships and driving customer satisfaction and retention 

• Apply strong problem solving skills to complex product and process challenges; lead and collaborate cross-functionally including with commercial teams and distribution partners to drive resolutions that minimize customer impact 

• Drive complex failure investigations, data collection and analysis, and collaborate closely with the engineering team to identify product design, service, and quality improvement opportunities. 

• Develop & maintain service procedures, service bulletins, risk assessment documents, training materials, knowledge base articles. 

• Develop validation protocols and reports for internal service processes  

• Develop, manage, and drive continuous improvement in field tooling (hardware, software, and infrastructure tools) 

• Provide technical support for Quality and Post-Market activities including CAPAs, field actions, and complaint investigations, ensuring commercial impact is assessed and communicated 

• Ensure customer feedback is documented, analyzed, and used to drive improvements in service delivery. 

 About You 

• Bachelor’s degree in Engineering (Electrical, Electronics, Mechanical, or Fluidics), and/or at least 3 years of relevant experience.  

• Relevant clinical or bronchoscopy engineering experience including, but not limited to, understanding of basic pulmonary anatomy and physiology 

• Relevant Experience with system/electrical troubleshooting, detail-oriented and willing to find the root causes of issues with good engineering practice 

• Excellent oral (including group presentations) and written communication skills, as well as solid organizational and time management abilities 

• Self-motivated and proactive, with a passion for quality and continuous improvement 

• Live in the assigned geography 

• Willing to travel and be hands-on in the field to service the product whenever necessary. 

• Must be fiscally responsible, able to make own travel arrangements, and turn in expense reports on a weekly basis. 

• Excellent computer and technology skills with regards to software applications, (Excel, Word, Outlook, Power Point) ERP databases, and technology innovation. 

• Must have a valid driver’s license.

#LI-Hybrid

OUR COMPANY 

As an early mover in the in-space transportation and infrastructure services, Momentus is at the forefront of the commercialization of space. With an experienced team of aerospace, propulsion, and robotics engineers, Momentus has developed a cost-effective and energy-efficient in-space transport system.   

OUR PEOPLE 

Daring problems require daring solutions.  We boldly charge into uncharted territory knowing that no matter the outcome we will benefit from the journey and move closer to our goals no matter what. Our teams know that working at Momentus means more than building innovative technology, it means creating entirely new markets in the space economy. We are level-headed, business-minded strategic thinkers intent on providing immediate value to our customers today while simultaneously preparing for the vast possibilities of the future. If this sounds like you, we should talk. 

JOB SUMMARY 

We are seeking a Spacecraft Vehicle Manufacturing Engineer to support spacecraft Assembly, Integration, and Test (AI&T) for Momentus satellite bus programs with hosted payloads supporting commercial, scientific, and government missions.  

This role is responsible for developing and sustaining end-to-end spacecraft manufacturing processes, including build sequences, tooling strategies, MGSE, and production methodologies. The ideal candidate thrives in a fast-paced environment, operates with a high degree of ownership, and bridges design, manufacturing, test, and quality to ensure scalable, compliant, and efficient spacecraft production. 

Key Responsibilities: 

• Develop, own, and maintain spacecraft-level manufacturing plans, including AI&T build sequences, work instructions, travelers, and standard work 
• Define and implement production methodologies, tooling strategies, and MGSE, including fixture/tool design, validation, and lifecycle management 
• Design assembly fixtures, mechanisms, and production support equipment using CAD; generate drawings and manage fabrication through vendors 
• Propose and optimize sequence of operations, integration flow, and installation processes to maximize efficiency and minimize risk 
• Perform DFM/DFA analysis, tolerance stack-ups, and manufacturability assessments to ensure design compatibility with production constraints 
• Apply GD&T principles, tolerance analysis, and advanced metrology techniques to ensure compliance to engineering specifications 
• Support and/or oversee non-destructive testing (NDT) activities (ultrasonic, radiographic/X-ray, etc.) and ensure proper interpretation of results 
• Lead Manufacturing Readiness Reviews (MRR) and ensure production system readiness for spacecraft builds 
• Investigate and resolve technical, operational, and quality issues using structured root cause analysis and CAPA methodologies 
• Interface with Production, Design Engineering, Test, Quality, EH&S, and Supply Chain to ensure safe, compliant, and efficient execution 
• Support Test Operations by ensuring hardware readiness, configuration control, and manufacturability alignment 
• Ensure configuration control, traceability, and documentation integrity across all manufacturing processes and hardware 
• Mentor engineers and technicians and drive best practices for scalable spacecraft production 
• Participate in Integrated Product Teams (IPTs) and technical reviews (PDR, CDR, TRR, LRR) to ensure alignment between design and manufacturing 

Required Skills and Experience 

• 10–15 years of experience in aerospace or space manufacturing, spacecraft AI&T, or complex electromechanical system integration 
• Strong expertise in manufacturing process development, including work instructions, routing, build sequencing, and production flow optimization 
• Proven experience with tooling and fixture design, including CAD modeling, drawing release, and vendor fabrication support 
• Deep knowledge of GD&T, tolerance analysis, and precision measurement techniques 
• Experience interpreting and working with engineering drawings, specifications, and inspection/test data 
• Strong understanding of AS9100 / ISO9001 quality systems, including NCR, CAPA, FAI, and compliance enforcement 
• Experience with root cause analysis, problem solving, and continuous improvement methodologies 
• Hands-on experience supporting production floor activities in cleanroom or controlled environments 
• Strong communication and collaboration skills across cross-functional engineering and operations teams 

Desired Skills and Experience: 

• MS in Mechanical, Aerospace, Manufacturing Engineering or related field 
• Experience in spacecraft or high-reliability aerospace environments (NASA, DoD, commercial space) 
• Experience supporting or leading Environmental campaigns (TVAC, Vibration) and integration with Test Engineering teams 
• Familiarity with non-destructive testing (NDT) methods and interpretation of inspection results 
• Ability to contribute to systems-level trades, requirements flow-down, and vehicle architecture decisions impacting manufacturability 
• Experience scaling hardware from prototype through production (rate manufacturing), including line balancing and cycle time optimization 
• Experience with PLM/MES systems, digital manufacturing, and configuration management workflows 
• Demonstrated ability to operate across disciplines, stepping into Test, Quality, Integration, or Operations roles as needed 
• Experience interfacing with customers and supporting technical/program reviews (PDR, CDR, TRR, LRR) 
• Leadership experience mentoring engineers and technicians in a high-growth or startup environment 
• Strong adaptability and ownership mindset with the ability to solve ambiguous problems with minimal guidance  

Education & Work Experience: 

1. BS in Mechanical, Aerospace, Manufacturing Engineering or related field (MS preferred) 
2. 5+ years of relevant experience in aerospace or space systems manufacturing 

Compensation: 

Annual Base Salary Range: $160,000.00 - $200,000.00/per year 
Base pay is one part of our total compensation package (base+bonus+equity) and is determined within a range. Your actual base salary will be determined on job-related knowledge and skills, education, and experience.  Our benefit plans include medical, dental, and vision insurance, 401k retirement plan, short and long term disability and life insurance. We also offer flexible PTO, along with 11 paid holidays, sick time and paid parental leave. 

This is a full-time position in San Jose, California. This position requires access to export-controlled commodities, technical data, technology, software, and services. U.S. citizenship, U.S. legal permanent resident status, or protected person status under 8 U.S.C. § 1324b(a)(3) is required.  

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. 

To all recruitment agencies: Momentus does not accept agency resumes. Please do not forward resumes to our employees or any company email. Momentus will not be responsible for any fees related to unsolicited resumes.   

Figure is an AI Robotics company developing a general purpose humanoid. Our Humanoid is designed for corporate tasks targeting labor shortages and jobs that are undesirable or unsafe. We are based in San Jose, CA and require 5 days/week in-office collaboration. It’s time to build.

We’re looking for a seasoned Engineering Program Manager to drive execution across our most complex electrical hardware programs. You understand the nuances of the electrical design process and know exactly what it takes to bring top-level assemblies to life. You don’t just monitor a timeline; you own the outcome—defining scope, ensuring validation completion, and keeping the team unified. Whether it’s diving into a technical hurdle or cutting through logistical red tape, you are the catalyst that keeps our engineering team moving fast and staying aligned.

Responsibilities: 

• Work cross-functionally with EE, ME, FW, GSM, systems integration, manufacturing, and vendors to maintain alignment and momentum.
• Support DRIs in schedule ownership, surface blockers, and help drive resolution to stay aligned with company goals.
• Drive prototyping and  build execution (PCBA allocation, design release, bring-up, and logistics), ensuring timely delivery through close coordination across teams.
• Capture actions, track progress, follow up relentlessly, and resolve issues without creating noise.
• Coordinate external lab testing (EMC, compliance, destructive testing).
• Participate in design reviews and technical product evaluations.

Requirements: 

• 5+ years of experience.
• Bachelor's degree in Electrical Engineering or a related field.​
• Jira power user — you know how to get EEs to actually use it (and maybe even like it).
• You have been through multiple concept-to-production design cycles. You have seen it all and know what to expect.
• Strong understanding of engineering principles across EE, ME, FW, system integration and manufacturing disciplines.​
• Excellent organizational and communication skills, with the ability to manage multiple tasks and stakeholders effectively.​
• Experience working with suppliers, CMs, and external labs.
• Experience with Product Lifecycle Management (PLM) processes.
• Above all, you know how to get it done and make things happen.

Bonus Qualifications: 

• Experience with the compliance process (EMC, Functional Safety, DFMEA, etc).
• Experience with Altium.
• Electrical Engineering design experience.
• Mechanical/Thermal design experience.
• Familiarity with programming languages such as Python or C.
• Robotics experience.

Compensation

The US annual salary range for this position is between $175,000 - $250,000

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits (including equity) depending on the specific role. This information will be shared if an employment offer is extended.

Figure is an AI Robotics company developing a general purpose humanoid. Our Humanoid is designed for corporate tasks targeting labor shortages and jobs that are undesirable or unsafe. We are based in San Jose, CA and require 5 days/week in-office collaboration. 

We are seeking a Robotics Integration Engineer to drive system-level integration and validation across hardware, firmware, controls, AI, perception, and software. You will plan, execute, and oversee subsystem integration and full-system bring-up, ensuring reliable performance and consistency across the entire robot ecosystem. This is a highly technical, hands-on role focused on debugging, root cause analysis, and validating system functionality to make humanoid robots perform reliably in the real world.

Responsibilities: 

• Integrate and validate system-level changes across hardware, controls, behavior, AI, and perception subsystems.
• Architect and execute bring-up, validation, and end-of-line (EOL) test processes for humanoid robots.
• Develop test tools and automation scripts in C++ and Python to streamline integration and data analysis.
• Design and run validation plans that stress full-robot functionality across real-world use cases.
• Debug and triage cross-disciplinary issues spanning mechanical, electrical, firmware, and software systems.
• Collaborate with design, controls, behaviors and software teams to define testable behaviors and verify subsystem performance.
• Instrument robots using diagnostic tools (oscilloscopes, logic analyzers, telemetry logs) to characterize performance and identify failure modes.
• Build dashboards, metrics, and reports to track system performance and fleet health over time.
• Document integration workflows, test results, and lessons learned to improve future build efficiency.
• Contribute to the automation of regression testing and continuous validation across the robot fleet.

Requirements: 

• Bachelor’s or Master’s degree in Robotics, Electrical Engineering, Mechanical Engineering, Computer Science, or a related field.
• 3–5+ years of experience working with complex robotic or electromechanical systems.
• Proficiency in C++ and Python for software development, scripting, and debugging.
• Strong system-level understanding across hardware, firmware, and software layers.
• Experience with Linux, Git, and standard diagnostic tools (oscilloscope, multimeter, log analyzers).
• Hands-on experience validating real-time control systems, behaviors, or perception pipelines.
• Ability to thrive in a fast-paced, lab-focused R&D and production environment.

Bonus Qualifications: 

• Experience with humanoid or legged robots.
• Familiarity with ROS2, behavior trees, or motion planning frameworks.
• Background in hardware bring-up, calibration systems, or production-level validation.
• Exposure to high-reliability or safety-critical robotic systems.

The US base salary range for this full-time position is between $170,000 - $250,000 annually.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. 

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is based in San Jose, CA and requires 5 days/week in-office collaboration.

We are seeking a motivated Mid-Level Full-Stack Engineer to own the end-to-end lifecycle of our robot fleet telemetry, data management, and visualization tools. This role bridges the gap between raw hardware signals and actionable human-centric insights. You will design and maintain the data pipelines that process high-volume fleet telemetry while building the front-end interfaces that power fleet health monitoring, regression detection, and executive reporting.

Responsibilities: 

• Data Pipeline Engineering: Design, implement, and maintain scalable data pipelines to process high-volume fleet telemetry and subassembly data into analytics-ready datasets.
• Full-Stack Development: Architect, design, and deploy tools for robot configuration, diagnosis, calibration, and user interaction.
• Data Visualization: Develop and maintain curated datasets and frameworks powering dashboards, regression monitoring tools, and fleet-level KPIs.
• API & Framework Design: Build scalable, well-documented APIs to support mission-critical operations and self-service analytics.
• Data Governance: Establish and enforce data quality standards, schema governance, and tagging conventions to ensure long-term maintainability of the telemetry layer.
• Cross-Functional Collaboration: Partner with Robotics, Middleware, and Operations teams to translate operational needs into structured data models and visualization requirements.
• System Analysis: Support raw-signal investigations and serve as a primary data owner during incident investigations to enable cross-subsystem root-cause analysis.

Requirements: 

• Education: Bachelor’s or Master’s degree in Computer Science, Data Engineering, Robotics, or a related field.
• Experience: 3+ years of industry experience in software development or designing telemetry/analytics platforms.
• Front-End Expertise: Proficiency in JavaScript/TypeScript, HTML5/CSS, React, and Next.js.
• Back-End & Data: Strong proficiency in Python and SQL; experience building cloud-based data pipelines (e.g., AWS S3, Glue, Redshift).
• Infrastructure: Experience with Docker for containerization and deployment.
• Systems Interest: A strong interest in working on software systems that interact with real hardware.
• Communication: Exceptional verbal and written communication skills with the ability to partner with both engineering and business stakeholders.

Bonus Qualifications: 

• Platform Experience: Direct experience using Databricks for data engineering, Spark processing, or analytics.
• Robotics: Prior experience with robotics, autonomous systems, or hardware-in-the-loop telemetry.
• Advanced Analytics: Experience supporting anomaly detection or ML-based telemetry analysis pipelines.
• Distributed Systems: Experience with distributed data processing tools such as PySpark.
• Custom Systems: Prior experience working with custom hardware/software integrations.

The US base salary range for this full-time position is between $150,000 - $240,000 annually.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. 

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is based in San Jose, CA and require 5 days/week in-office collaboration.

We are seeking an Electrical Rework Technician to own PCBA rework, micro-soldering, and board-level repair across Figure’s humanoid robot hardware. This role is focused on high-quality workmanship, precision rework, and fast turnaround of complex electronics during development, validation, and early production.

You will work hands-on with dense, high-value PCBAs, supporting engineering debug, ECOs, and failure recovery while maintaining strict quality and repeatability standards. This role is critical to enabling rapid iteration during development and preventing rework from becoming a bottleneck as hardware matures toward production.

Key Responsibilities:

• Perform precision soldering and rework on complex PCBAs to high workmanship standards
• Execute advanced micro-soldering tasks, including:
  • Fine-pitch SMD components
  • High pin-count connectors
  • QFN, LGA, and BGA rework (including reflow and reballing)
• Diagnose and repair damaged pads, traces, vias, and connectors
• Support engineering debug by implementing board modifications, ECOs, and bodge rework
• Work from schematics, board layouts, and engineering guidance to execute accurate rework
• Document rework actions, common failure modes, and lessons learned
• Help define, improve, and standardize rework procedures and workmanship guidelines
• Train and support technicians and engineers on soldering best practices
• Maintain soldering tools, microscopes, rework stations, and consumables
• Collaborate closely with Electrical Engineering, Hardware Integration, and Manufacturing teams

Requirements:

• 5+ years of professional experience in electronics soldering and PCBA rework
• Extensive hands-on experience with fine-pitch and high-density PCBAs
• Proven expertise in micro-soldering under microscope
• Strong understanding of PCB construction, component packages, and thermal behavior
• Ability to consistently produce clean, reliable, and inspectable rework
• High attention to detail and pride in workmanship
• Comfortable working independently on high-value, time-critical hardware

Bonus Qualifications:

• IPC certification or equivalent professional training
• Experience supporting R&D, robotics, or high-reliability electronics programs
• Ability to read schematics and board layouts to support debug and rework decisions
• Experience feeding rework learnings back into design-for-manufacturing improvements
• Familiarity with early production or EVT/DVT hardware environments

The US hourly range for this full-time position is between $30-$50/hr.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. 

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is based in San Jose, CA and require 5 days/week in-office collaboration.

We are seeking a dedicated and experienced Facilities Technician to join our team. The Facilities Technician will be responsible for maintaining, troubleshooting, and repairing the facility's systems and equipment to ensure safe, efficient, and continuous operations. This role requires expertise in facility maintenance, and hands-on technical problem-solving skills. The ideal candidate will have strong experience in HVAC systems, electrical, plumbing, and general building operations.

Key Responsibilities:

• Maintenance & Repairs:
• Perform routine inspections, maintenance, and repairs on building systems such as HVAC, electrical, plumbing, and fire safety systems.
• Troubleshoot and resolve facility-related issues to ensure the building's operational efficiency.
• Respond to and address emergency repair requests promptly, prioritizing safety and minimizing downtime.
• Ensure all maintenance activities comply with relevant safety and regulatory standards.
• Equipment & Systems Management:
• Oversee and maintain various facility equipment, including heating, cooling, electrical, plumbing systems, and mechanical systems.
• Manage inventory of tools, supplies, and equipment necessary for day-to-day operations and preventative maintenance.
• Coordinate with external vendors and contractors for specialized maintenance tasks.
• Facility Inspections & Safety Compliance:
• Conduct regular building inspections to identify potential maintenance issues and ensure compliance with safety and health regulations.
• Implement preventative maintenance programs to reduce equipment failures and improve overall facility uptime.
• Maintain accurate documentation for all repairs, inspections, and maintenance procedures.
• Ensure that safety protocols are followed and that the facility is in compliance with local, state, and federal codes.
• Team Collaboration:
• Collaborate with cross-functional teams (Operations, Security, IT) to ensure the smooth operation of the facility.
• Assist in developing and updating facility maintenance schedules and work orders.
• Other Duties:
• Perform additional tasks as assigned, including responding to requests for facility-related improvements and projects.
• Support budget management by tracking maintenance costs and helping with cost-effective decision-making for repairs and upgrades.

Qualifications:

• Education:
• High school diploma or equivalent required.
• Technical certification or Associate's degree in Facilities Management, Engineering, or related field preferred.
• Experience:
• 5+ years of experience in facilities maintenance or a related technical field.
• Experience in HVAC, electrical, plumbing, and general building systems maintenance is required.
• Previous experience leading or mentoring a team is preferred.
• Skills & Abilities:
• Strong knowledge of building systems (HVAC, electrical, plumbing, fire protection, etc.).
• Ability to read and interpret blueprints, diagrams, and technical manuals.
• Proficiency with maintenance management software and Microsoft Office Suite.
• Excellent problem-solving and troubleshooting abilities.
• Strong attention to detail and a proactive approach to maintenance.
• Certifications:
• Relevant industry certifications such as EPA Universal Certification, HVAC certifications, or electrical licenses are preferred.
• Physical Requirements:
• Ability to lift and carry heavy equipment and tools (up to 50 lbs).
• Comfortable working in various environments (indoors and outdoors) and in varying conditions (temperature, height, etc.).
• Ability to stand, walk, bend, and climb for extended periods.

The US hourly range for this full-time position is between $30-$55/hr.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. 

Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure 03, is designed for commercial tasks and the home. We are based in San Jose, CA and require 5 days/week in-office collaboration. It’s time to build.

We are looking for an experienced Ignition Developer and MES Engineer to develop, support, scale, and optimize our established manufacturing systems. Our current environment is built on Ignition and Sepasoft, utilizing complex custom scripting and mature database architectures.

We are seeking a proactive engineer to play a key role in managing and enhancing this system, streamline existing processes, and drive continuous improvement across our production floor. As the vital link between our software systems and daily operations, a strong grasp of MES theory and real-world manufacturing is just as critical as your technical coding expertise.

Responsibilities:

• Take ownership of our existing Ignition platform, focusing heavily on developing, supporting, scaling, and optimizing existing and new MES features.
• Apply a deep understanding of MES principles to troubleshoot and improve our production data flow, routing, and track-and-trace capabilities.
• Navigate complex, existing SQL schemas and Sepasoft data models to extract operational data and build dashboards for quality, OEE, cycle time analysis, and production tracking.
• Design and deploy common-sense, intuitive UI screens in Perspective and enjoyable UX for all MES users.
• Manage, troubleshoot, and optimize our existing Sepasoft MES implementation.
• Apply Inductive Automation best practices to scale our gateway architecture, manage tags and UDTs, and optimize overall system performance.
• Integrate manufacturing equipment, PLCs, and edge devices into the MES to ensure accurate, real-time data collection.
• Work directly on the production line alongside operators to provide technical support during production hours.

Requirements:

• Extensive, hands-on experience developing in Inductive Automation's Ignition platform, specifically with advanced Jython scripting, Ignition Modules, and Ignition Perspective.
• Strong practical understanding of MES theory and manufacturing operations, including core concepts like flow execution, part traceability, OEE, WIP tracking, quality control, and downtime categorization.
• Proven ability to understand database schemas and data models, and compose queries and scripts to support production decision-making.
• A pragmatic, ego-free attitude with a proven track record of working effectively on the factory floor with production staff.
• Availability and willingness to work production hours to provide real-time support.
• Practical experience integrating MES with other enterprise systems like ERP and Inventory Management utilizing technologies like REST and RPC.
• Experience connecting Ignition to industrial hardware and PLCs using a variety of protocols (e.g., OPC UA, MQTT, Modbus).

Bonus Qualifications:

• Direct experience configuring, supporting, or deploying Sepasoft MES modules.
• Certifications in Ignition Core/Perspective or Sepasoft MES.
• Hands-on experience interfacing directly with Siemens and Allen-Bradley PLCs.
• Experience diagnosing gateway performance issues, standardizing and scaling Ignition deployments to increase performance and reliability.
• A background in software development, with a focus on implementing robust version control practices and reliable, repeatable deployment strategies for manufacturing software.

The US base salary range for this full-time position is $175,000 - $220,000 annually.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

Figure AI is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human-level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA.

Our goal is to create embodied AI systems that can perceive the world through pixels, reason over memory, and reliably execute complex tasks over minutes to hours in real environments. We are looking for a Helix AI Engineer, Agentic Systems experienced in building multimodal reasoning systems—agents that operate autonomously from raw sensory input, maintain episodic memory, plan over long horizons, and execute reliably within structured evaluation harnesses, e.g. pixels-to-actions computer use agents. This role focuses on developing the agent architectures and infrastructure that enable robots to function as persistent, reliable embodied agents in the real world.

Responsibilities

• Design, train, and deploy multimodal agents that operate autonomously for hours to days
• Build agents that reason from raw sensory inputs (pixels, environment state, proprioception) to structured actions
• Implement episodic memory systems for persistent state, retrieval, and long-horizon reasoning
• Develop planning, reasoning, and tool-use mechanisms for multi-step task execution
• Build reliable perception → reasoning → action loops with strong stability and failure recovery
• Design evaluation harnesses, benchmarks, and metrics to measure agent reasoning, planning, and reliability
• Design and run data studies across the training lifecycle, including pretraining, mid-training, and post-training
• Apply reinforcement learning, reward modeling, and post-training techniques to improve agent reasoning and reliability in real-world environments
• Develop evaluation frameworks and benchmarks to measure robot reasoning, planning, and task success across diverse scenarios
• Build infrastructure for scalable model training, distributed experimentation, and agent evaluation
• Work closely with other teams to integrate agent models into the full humanoid autonomy stack

Requirements

• Experience building autonomous agents that run continuously and complete multi-step tasks
• Experience developing agents that reason from pixel inputs or raw environment observations
• Experience implementing agent memory, planning, reasoning, or tool-use systems
• Experience training or fine-tuning multimodal or foundation models
• Strong proficiency in Python and modern deep learning frameworks (e.g., PyTorch)
• Strong experimental rigor and ability to design, analyze, and iterate on ML systems
• Strong software engineering skills and ability to build reliable, maintainable systems
• Ability to work independently and own complex technical problems end-to-end

Bonus Qualifications

• Experience with embodied AI, robotics learning, or robot policy training
• Experience building multimodal foundation models (vision-language or vision-language-action)
• Background in agentic AI systems or long-horizon planning architectures
• Experience working with large-scale distributed training systems
• Publication record in machine learning, robotics, or embodied AI
• Passion for building autonomous humanoid robots that operate in the real world

The US base salary range for this full-time position is between $150,000 - $350,000 annually.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human-level intelligence. Our robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA and require 5 days/week in-office collaboration. It’s time to build.

We are looking for a Data Business Development representative to generate new partnerships that help grow Figure’s access to training data. You will be responsible for identifying, engaging, and building relationships with external data vendors, providers, and partners to expand the scale, diversity, and quality of data powering our humanoid robotics models.

Responsibilities:

• Identify, research, and prospect new data vendors, providers, and strategic partners aligned with Figure's pretraining data needs
• Conduct outbound outreach and run initial discovery meetings with prospective vendors to evaluate fit, capabilities, and data offerings
• Build and maintain a robust pipeline of partnership opportunities, tracking progress from initial contact through handoff
• Partner closely with AI research, data, and legal teams to translate technical data requirements into clear partnership criteria
• Develop and maintain outreach processes, trackers, and documentation to scale partnership operations efficiently
• Report pipeline metrics, conversion rates, and partnership progress to the Data Partnerships lead

Requirements:

• 1-2 years in business development, partnerships, sales development, consulting, or similar outbound-facing roles
• Strong prospecting and outreach skills with a track record of building pipeline from scratch
• Comfortable rapidly building and deploying apps/agents using AI coding tools (zero technical academic background necessary)
• Excellent written and verbal communication skills, especially when engaging external stakeholders
• Ability to quickly learn technical concepts and translate them into compelling vendor conversations
• Comfortable operating with ambiguity and managing multiple concurrent vendor relationships
• Low ego, team player with can-do attitude

Bonus Qualifications:

• Experience sourcing data, content, or supplier partnerships for AI, robotics, or technology companies
• Familiarity with machine learning, pretraining data, or AI/robotics industry landscape
• A passion for helping scale the deployment of learning humanoid robots

The US base salary range for this full-time position is between $90,000 - $120,000 annually.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is based in San Jose, CA and requires 5 days/week in-office collaboration.

We are looking for a Mechanical Design Engineer with experience owning complex mechanical modules from concept through production. The ideal candidate has operated in a high-tech, fast-paced environment, is comfortable driving across multiple stakeholders, and has a strong background in design, testing, validation, and scaling hardware to production. Robotics experience is not required.

Responsibilities:

• Design mechanical parts and assemblies in 3D CAD that meet structural, durability, manufacturability, and industrial design requirements
• Generate accurate 2D drawings using GD&T in accordance with ASME Y14.5
• Perform tolerance stack-ups and review quality and inspection reports to ensure design intent is met
• Prototype, build, and test components / systems to validate performance, reliability, and lifetime requirements
• Lead and support testing / validation efforts at the component, module, and system level
• Collaborate closely with electrical engineers and systems/integration teams on electromechanical designs
• Partner with supply chain, contract manufacturers, manufacturing engineers, and quality teams to drive designs through NPI and into production
• Own and drive Failure Analysis & Corrective Actions (FA/CA) for complex issues discovered during manufacturing, testing, or field use
• Inspect first articles, support build readiness, and continuously support hardware on development platforms

Requirements: 

• 3+ years of experience in mechanical engineering
• Bachelor’s or Master’s Degree in Mechanical, Biomechanical, Robotics, Mechatronics, or similar field
• Expert in using 3D CAD software to design parts with complex geometry
• Experience owning and designing complex mechanical systems/modules end-to-end, including requirements definition, design tradeoffs, build, and validation
• Experience working across multiple disciplines with competing and strict technical requirements
• Experience with engineering analysis and simulation tools (e.g., FEA, MATLAB, or equivalent)
• Strong understanding of statistical analysis methods (e.g., Cp/Cpk, Design of Experiments (DOE), variance and sensitivity studies) for component- and system-level characterization, validation, and manufacturing readiness
• Experience shipping hardware at scale, working with contract manufacturers, supporting NPI builds, and driving complex Failure Analysis & Corrective Actions
• Familiarity with electromechanical integration, including sensors, motors, motor drivers, wire harnesses, and communication interfaces

Bonus Qualifications: 

• 5+ years of experience
• Experience in controls, integration, and validation
• CATIA V6 Experience

The US base salary range for this full-time position is between $120,000 - $250,000 annually.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. 

Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure 02, is designed for commercial tasks and the home. We are based in San Jose, CA. It’s time to build.

We are looking for a Senior Mechanical Engineer to design, test, and implement a charging system for our humanoid robot. 

Responsibilities:

• Design parts in 3D CAD that satisfy load conditions, industrial design form factor, and durability requirements. 
• Concept to production ownership of the mechanical and thermal components. 
• Work with our electrical engineering team to ensure the electrical systems meet mechanical and reliability requirements. 
• Work with our compliance team to ensure the design meets UL and other certification requirements
• Build prototypes to test assembly, wire routing, and performance.
• Generate accurate 2D drawings using GD&T per ASME Y14.5.

Requirements: 

• 3+ years of experience in mechanical engineering
• Bachelor’s or Master’s Degree in Mechanical, Biomechanical, Robotics, Mechatronics, or similar field
• Experience using 3D CAD software to design parts with complex geometry
• Experience designing and building prototypes
• Familiar with simulation and analysis methodology
• Ability to write and maintain clean documentation for your design process. 

Bonus Qualifications: 

• Experience with power electronics, chargers, or other electromechanical assemblies. 
• Experience with design for manufacturing and design for assembly principles.

The US base salary range for this full-time position is between $160,000 - $240,000 annually.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended

About The Company

DiDi's autonomous driving unit was established in 2016 with the mission of developing Level 4 autonomous driving (AD) technology to make transportation safer and more efficient. In August 2019, the unit became an independent company, DiDi Autonomous Driving, dedicated to advanced AD R&D, product application, and business expansion. We believe integrating AD technology into a shared-mobility fleet will generate immense social value. By leveraging DiDi's specialized technology, operational expertise, and integrated ecosystem, we are positioned to build and operate a highly efficient, user-oriented autonomous fleet.

About The Role

The Foundation Model Team focuses on building large-scale foundation models for multi-agent behavior prediction and autonomous vehicle planning. By leveraging DiDi Voyager’s unparalleled driving data, we train highly robust and generalizable deep learning systems that enable safe and intelligent autonomous driving at scale.

Our models serve as the core intelligence of the autonomous driving stack, enabling vehicles to understand complex traffic scenarios, anticipate agent behavior, and make safe and efficient driving decisions.

We operate at the intersection of large-scale machine learning, autonomous driving, and foundation model research, pushing the frontier of multi-agent prediction and planning.

Responsibilities

As a member of the Foundation Model Team, you will:

• Design and train large-scale deep learning models for:

• Multi-agent trajectory prediction

• Behavior and intent prediction

• Planning and decision-making

• Build foundation model architectures (Transformers, Diffusion, Flow-based models, Decision models, VLM/VLA)

• Develop scalable training pipelines across hundreds to thousands of GPUs

• Work with massive real-world datasets and build high-quality data pipelines

• Optimize models for latency, reliability, and on-vehicle deployment

• Collaborate closely with perception, mapping, simulation, and systems teams

• Drive research ideas into production systems used by real autonomous vehicles

Qualifications

• Strong background in machine learning, deep learning, or robotics

• Experience with PyTorch / JAX / TensorFlow

• Solid understanding of modern neural architectures (transformers, diffusion, auto-regressive)

• Strong coding skills in Python and C++

• Passion for building real-world, safety-critical AI systems

Preferred Qualifications 

• BS, MS or PhD in Computer Science, Machine Learning, Robotics, or a related field

• Experience in autonomous driving, robotics, or embodied AI

• Experience training large models on distributed GPU clusters

• Experience with trajectory prediction, planning, or decision-making systems

• Publications in top ML / robotics conferences (NeurIPS, ICML, ICLR, CVPR, RSS, CoRL, etc.)

The base salary range for this position is $129,189-$247,038 annually in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

I acknowledge that prior to submitting this application, I have read and accepted the Privacy Notice for California Residents which is available on https://v.didi.cn/AQnxlBa

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human-level intelligence. Our robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA and requires 5 days/week of in-office collaboration.

We are seeking a reliable and flexible Class B CDL Driver to support daily transportation needs using a box truck and other company vehicles as needed. This role is responsible for safely transporting materials, equipment, and parts between company sites, vendors, and customers throughout the Bay Area and beyond. During downtime between driving assignments, this position will support warehouse, inventory, shipping/receiving, facilities, and general logistics operations. 

The ideal candidate is dependable, safety-focused, comfortable driving in a fast-paced environment, and willing to jump in wherever needed to support the team. This role is an 8 month term with potential for conversion. Monday to Friday, with occasional overtime or flexible hours based on business needs. Some weekends are required.

Key Responsibilities

• Safely operate a Class B box truck and other company vehicles, including vans, pickup trucks, and smaller delivery vehicles as required
• Perform local and regional deliveries, pickups, and part runs between company locations, suppliers, carriers, and customers
• Transport materials between sites in Fremont, Menlo Park, Santa Clara, San Jose, Milpitas, and other Bay Area locations
• Load, secure, and unload freight to ensure safe transport
• Conduct pre-trip and post-trip vehicle inspections and report any maintenance or safety concerns
• Maintain accurate delivery records, mileage logs, inspection forms, and shipping paperwork
• Coordinate with logistics, shipping/receiving, inventory, and operations teams regarding delivery schedules and priorities
• Ensure all DOT, company, and safety regulations are followed at all times
• Assist with occasional after-hours, urgent, or “line down” deliveries as needed

Downtime / Non-Driving Responsibilities

When not actively driving, this role will support the operations team with:

• Shipping and receiving activities
• Loading and unloading inbound and outbound shipments
• Inventory counts and cycle counts
• Pulling, staging, and delivering parts to internal teams
• Organizing warehouse, storage, and inventory locations
• Assisting with packaging, palletizing, labeling, and preparing shipments
• Supporting facilities tasks such as moving equipment, organizing work areas, and maintaining cleanliness
• Assisting with part requests, local errands, and general operations support
• Updating spreadsheets, inventory systems, and delivery tracking information
• Supporting special projects as assigned

Qualifications

• Valid Class B CDL with clean driving record
• Minimum 2 years of experience operating a box truck or similar commercial vehicle
• Experience driving multiple vehicle types preferred
• Forklift certification or willingness to become certified preferred
• Ability to lift up to 50 pounds regularly
• Strong attention to detail and commitment to safety
• Comfortable using smartphones, GPS, email, and basic computer systems
• Able to work independently and manage changing priorities
• Strong communication and customer service skills
• Familiarity with Bay Area roads, traffic patterns, and delivery locations preferred

Preferred Experience

• Experience in shipping/receiving, warehouse, inventory, or logistics operations
• Experience with ERP, inventory, or shipping systems
• Hazmat endorsement or experience transporting regulated materials is a plus
• Experience supporting fast-paced manufacturing, technology, or operations environments

Pay Range: $35-$40

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits (including equity) depending on the specific role. This information will be shared if an employment offer is extended.

What You'll Do

• Architect Autonomy Frameworks: Lead the system architecture and feature development for autonomous flight systems, with a specific focus on multi-agent coordination, task allocation, and resource scheduling in real-time environments.
• GNC Software Integration: Design, implement, and integrate C++ product software for guidance, navigation, and control modules. Ensure portability and scalability across diverse aerial platforms, overseeing the transition from algorithmic design to embedded deployment.
• State Estimation & Localization: Serve as the subject matter expert for state estimation and localization, developing software packages that fuse data from passive sensing, GPS, and IMU to ensure robust navigation in day, night, and off-road environments.
• Cross-Functional Leadership: Partner with Systems Engineering and Flight Test teams to drive performance analysis. Lead the definition of verifiable software requirements, ensuring GNC considerations are integrated into vehicle navigation and obstacle avoidance algorithms.
• Safety & Compliance: Direct the development of safety-critical autonomy software, coordinating safety compliance with agencies like the FAA or NASA, and managing rigorous validation processes for flight control and autonomous path following.
• Simulation Infrastructure: Champion the development of simulation and hardware-in-the-loop (HITL) test infrastructure. Drive performance analysis of compute loads and communications to improve the rigor of delivered features before flight.
• Mentorship & Methodology: Lead engineering teams in Agile environments, providing oversight on trajectory generation and control implementation while mentoring engineers in best practices for autonomy and robotics.

What You Need

• Extensive Experience: 9+ years of professional experience in aerospace autonomy, robotics systems, or GNC software development.
• Educational Background: BS in Aerospace, Electrical, or Computer Engineering; an MS or related specialized experience in autonomous systems is preferred.
• Technical Mastery: Expert proficiency in C++ for real-time embedded software and experience with robotics frameworks (such as ROS). Familiarity with integrating software onto autopilots like Pixhawk.
• Autonomy Expertise: Proven track record in robotic teaming, trajectory generation, and mission planning for Unmanned Aerial Systems (sUAS) or planetary exploration vehicles.
• Estimation Depth: Advanced knowledge of state estimation techniques, including vision-based navigation and sensor fusion for operational environments
• Soft Skills: Strong organizational skills with a demonstrated ability to lead complex development initiatives and specialized engineering team

Bonus Qualifications

• Space & Aviation Heritage: Experience supporting high-profile missions (e.g., NASA) or coordinating with federal aviation bodies.
• Hardware Integration: Experience managing hardware integration for sensing payloads, manipulation methods, or seismometer/tether models.
• Advanced Perception: Expertise in using passive sensing for navigation and environmental perception.
• Test & Validation: Experience conducting Verification & Validation (V&V) for robotics payloads or flight systems.

Archer is proud to be an Equal Opportunity Employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided based on merit, qualifications, and business needs. We do not discriminate based on race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity, or any other characteristic protected by federal, state, or local laws.

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $170,000 - $215,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA.

We are looking for a Electrical Interconnect Engineering Intern for Fall 2026 to support the design, prototyping, and validation of electrical interconnect systems (connectors, cable harnesses, and electromechanical interfaces) for humanoid robotic platforms. This role emphasizes mechanical design, hands-on prototyping, and reliability testing in dynamic environments (vibration, mating cycles, and thermal loading). This role will work closely with senior engineers on connector design concepts, prototyping activities, and reliability engineering (REL) tasks. This is a hands-on opportunity to contribute to real hardware programs in a fast-paced robotics environment.

Responsibilities:

• Support connector and cable harness design activities (concept development, CAD modeling, drawings).
• Define mechanical details: tolerances, fits, plastic design considerations.
• Assist with prototype builds, test fixture preparation, and hardware validation.
• Help execute reliability testing and define failure modes (mating cycles, strain relief, environmental exposure).
• Support documentation such as test plans, reports, and engineering change inputs.
• Coordinate with cross-functional teams (EE, ME, manufacturing, supply chain).
• Assist with lab organization, part tracking, and prototype logistics.

Requirements:

• Currently pursuing a BS or MS in Mechanical Engineering, Electrical Engineering, Mechatronics, or related field, and is in their final year of school. 
• Exposure to CAD tools (CATIA, SolidWorks, AutoCAD).
• Ability to break down complex problems and recommend solutions from a first principles approach.
• Hands-on mindset and willingness to work in a lab environment.
• Strong communication and teamwork skills.

Bonus Qualifications:

• Experience with cable harnesses, interconnects, or 3D printed prototyping.
• Injection molding basics.
• Familiarity with basic reliability or validation testing.
• Ability to read technical drawings and basic electrical schematics.
• Data analysis exposure is a plus.

The US base salary range for this full-time position is between $40 – $45/hr.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA.

We are looking for an Electrical Engineering Intern to support the design and test of critical hardware components during Fall 2026. 

Responsibilities:

• Design and test full or sub sections of PCBAs on the Humanoid like power distribution boards, battery management systems, sensing boards, motor controllers, or computer boards.
• Support the review of design artifacts (schematics, layouts, bill of materials…) from your peers or external suppliers.
• Support system integration and test activities by contributing to test execution and problem diagnostics and resolution.

Requirements: 

• Undergraduate student (Senior) or recent graduate in Electrical Engineering or related field.
• Minimum 10 weeks internship, 1 to 2 terms preferred.
• Solid EE fundamentals with hands-on experience designing, building, and testing PCBAs.
• Experience with design automation (EDA) tools, preferably Altium in both schematics and layout.
• Experience with power electronics (motor driver, switch mode power supplies…), digital electronics (MCU, FPGA, Ethernet, USB, SPI, I2C…), and analog electronics (filters, ADC/DAC…)
• Strong verbal and written communication skills.

Bonus Qualifications: 

• Experience using LTspice, Python, and Matlab.
• Embedded programming of DSPs, microcontrollers, and FPGAs.
• Basic understanding of mechanical design fundamentals

The US base salary range for this full-time position is between $40 - $45/hr. 

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA.

We are looking for an Firmware Engineer Intern for Summer 2026 to support the implementation and test of key aspects of our Humanoid software.

Responsibilities:

• Deliver high quality C/C++ code in a real-time embedded environment.
• Bring up, debug, and validate firmware on the Humanoid hardware platform, such as actuators, sensors, power distribution system.
• Optimize performance of firmware to meet product requirements.
• Develop test scripts in Python to support test automation or robot calibration.
• Work cross functionally with System Integration, Software Test, and Embedded Software teams to successfully and autonomously ship new features.
• Contribute to the integration of projects into the Continuous Integration and Continuous Deployment (CI/CD) infrastructure.
• Support hardware/software integration in the lab.

Requirements:

• Graduate student, senior student, or recent graduate in Computer Engineering or related field.
• Minimum 10 weeks internship, 1 to 2 terms preferred.
• Ability to showcase extra-academic activities working on hardware/software projects.
• Fluent with C/C++ and Python.
• Good knowledge of computer architecture and real-time operating systems
• Familiar with communication buses and protocols like CAN, SPI, I2C, UART etc.
• Comfortable using lab instruments (Oscilloscopes, logic analyzers…) and debugging tools.

Bonus Qualifications:

• Experience with low level communication protocol driver development, Ethernet and CAN preferred.
• Demonstrated taking features or products from cradle to grave with high levels of ownership.
• Experience with motor control systems.
• Experience with the Bazel build system.
• Experience with Docker containers.

About The Team

We are seeking a skilled Test Technician to join our team. The ideal candidate will be responsible for testing and troubleshooting medical robotic systems while adhering to Good Manufacturing Practices (GMP). The successful candidate will have a strong understanding of robotic hardware, sensors, motors, PLC’s, relays, circuit boards, computers, cabling and experience with and testing, excellent troubleshooting skills, and GMP experience.

A Day In The Life Of Our Manufacturing System Technician

• Assemble and/or test medical robotic systems according to established MPI, drawings, and schematics.
• Assemble and/or test medical subassemblies according to established MPI, drawings, and schematics.
• Perform packaging medical subassemblies and systems according to established MPI, and drawings.
• Install and configure hardware components, including robotic arms, sensors, motors, PLC’s, relays, circuit boards and cables.
• Install and configure software components, including programming and testing of robotic movements and functions.
• Perform system testing and work with engineers to troubleshoot issues as they arise.
• Collaborate with other team members to identify and resolve issues.
• Assist with inventory management and point out shortages as needed.
• Maintain accurate records of system configurations, test results, and troubleshooting activities as part of the Device History Records while adhering to GMP.
• Maintain a clean and organized work area as part of the line clearance procedure as lean manufacturing practices.
• Meet all standard cycle time requirements and quality standards.
• Perform other reasonable duties in assembly, rework, or test as required
• Might require to stay overtime as required
• Shift schedule: Monday - Thursday: 5:00AM-3:30PM

About You

• High School Diploma required and a Minimum 3-5 years of medical device test work experience required (or)
• AS Degree in Computer Science and minimum 2 years of testing Medical Device experience (or)
• BS in Computer Science, Electrical Engineering, or Industrial Engineering with 1 year of experience medical device test work experience
• English language proficiency required
• Knowledge of working Microsoft office and other PC software
• Knowledge of GMP, Non-Conformance reports, and Line clearance experience required.
• Work with the production manager and engineers to assist root cause analysis for nonconformance.

Experience working in a regulated environment in compliance with ISO 13485 and 21 CFR 820 required.

#LI-Onsite

What you’ll do: 

• Architect and design advanced state estimation algorithms for eVTOL aircraft, ensuring safety while considering performance, robustness, and computational efficiency
• Implement state estimation algorithms, primarily in Simulink, ensuring adherence to modeling standards and best practices 
• Integrate state estimation solutions with various hardware components, including air data systems, Inertial Navigation Systems (INS), Global Navigation Satellite Systems (GNSS), and other aviation-grade sensors 
• Synthesize system requirements used to drive design and ensure cross-functional needs are met 
• Develop and execute creative verification and validation (V&V) strategies for state estimation algorithms, including simulation, hardware-in-the-loop (HIL) testing, and flight testing 
• Develop and refine models to simulate sensors in nominal, degraded operation, and failure scenarios 
• Analyze and interpret data from simulation, lab testing, and flight testing to identify issues and characterize real-world performance 
• Collaborate with cross-functional teams, including control laws, hardware, software, and test engineers, to solve complex aircraft-level problems and ensure seamless integration 
• Build tools and processes to maximize engineering capability 

What you need: 

• 9+ years of experience in the design, implementation, and verification of state estimation algorithms 
• Master's or Ph.D. in Aerospace Engineering, Electrical Engineering, Robotics, or a related field 
• Proficiency in Simulink/MATLAB for algorithm development and simulation
• Experience with sensor fusion from various sources, including INS, GNSS, airspeed sensors, and altimeters 
• Demonstrated ability to think critically from high-level architecture down to low-level implementation details. 
• Proven track record of developing effective V&V methodologies 
• Working level knowledge of ARP4754A, DO-178C, and DO-331 

Bonus Qualifications: 

• Hands-on experience with flight testing and test plan development 
• Previous experience with flight control or state estimation systems for aircraft such as eVTOLS, helicopters, or fixed-wing airplanes. 
• Working knowledge of control algorithms 
• Experience working with aerospace data buses and communication protocols
• Experience working with regulation authorities 
• Experience developing or testing fly-by-wire flight control systems 

Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws. For this position we are targeting a base pay between $170,000 - $215,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

What you’ll do:

• Architect and design physics-based sensor models across varying levels of fidelity for eVTOL aircraft
• Own the end-to-end development lifecycle for sensor models, encompassing architecture, implementation, testing, and lab integration
• Develop models spanning a variety of aviation-grade sensors, such as Inertial Measurement Units (IMU), Global Navigation Satellite Systems (GNSS), Inertial Navigation Systems (INS), air data systems, and radar altimeters
• Implement all sensor models in Simulink, ensuring adherence to modeling standards and adopting best practices for model management
• Analyze and interpret data from simulation, lab testing, and flight testing to identify model inaccuracies and characterize real-world sensor performance
• Collaborate with state estimation, control law, and simulation engineers to ensure models enable effective simulation testing
• Build tools and processes to improve maintainability and enhance simulation performance

What you need:

• 3+ years of experience in the design, implementation, and testing of simulation models for physical systems
• Bachelor's Degree. in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, Robotics, or a related field
• Proficiency in Simulink for large scale modeling, simulation, and Hardware-in-the-Loop (HIL) integration
• Deep technical experience with a variety of sensors used in aerospace
• Demonstrated ability to think critically from high-level architecture down to low-level implementation details

Bonus Qualifications: 

• Experience with modeling physical systems, such as aerodynamics, actuation, or powertrain
• Experience with Hardware-in-the-loop environments such as NI Veristand or dSpace
• Experience designing, implementing, or verifying state estimation algorithms or control laws
• Previous experience with flight control or state estimation sensors for aircraft such as eVTOLs, helicopters, or fixed-wing airplanes
• Experience working with aerospace data buses and communication protocols
• Experience working with regulation authorities 

Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $140,000 - $170,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

What you’ll do:

• Design and build reliable automated test equipment to conduct functional tests on PCBAs or modules.
• Work together with Design Engineers, System Engineers, and Reliability Engineers to Identify design critical operating modes and create design validation test plans.
• Work with test technicians to build validation test setups and execute test plans and teardowns.
• Investigate device failures to determine root cause and drive product improvements.
• Identify and plan critical tests to validate new technologies.  

What you’ll need:

• Bachelor or MS degree in Electrical Engineering or equivalent experience.
• 2+ years of experience with physical testing and analysis of mechanical or electronic systems against detailed requirements. 
• 2+ years of direct automation design and build experience (automated testing, manufacturing, robotics, industrial etc.)
• Experience leading and driving technical projects to completion.
• Good understanding of electrical circuit design and  power electronics.
• Experience with Python and NI(LabVIEW, TestStand, or VeriStand).
• Experience with electrical test equipment, hand tools, power tools. 

Bonus Qualifications:

• 2+ years of experience with component, system, or vehicle validation testing (FAA DO160, Biomedical FDA testing, or equivalent.) 
• Good Electrical Engineering Background (active circuit design, power electronics, digital circuits, motor drives, signal measurement and conditioning)
• Experience working with interdisciplinary teams across an organization.
• Strong communicator and presenter of technical content.
• Experience using CAD software to create basic fixtures.
• Experience with HV systems and safety.
• Experience with integrated system communication protocols (CAN, Ethernet, RS485 etc.)

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA.

Figure’s vision is to deploy autonomous humanoids at a global scale. Our Manufacturing team is looking for a Production Lead to help drive daily execution on the factory floor. In this role, you’ll work closely with supervisors, engineers, and quality teams to deliver against production schedules while ensuring the highest standards of safety, quality, and efficiency. You’ll be hands-on, coordinating work across teams, resolving issues in real time, and stepping onto the line when needed to keep builds on track.

Responsibilities:

• Lead by example to maintain a safe, clean, and compliant work environment.
• Assign daily tasks and coordinate resources to meet production schedules and quality targets.
• Monitor production flow, track progress, and provide updates on priority work orders.
• Verify readiness of lines, components, and equipment; support set-ups and changeovers.
• Assist with troubleshooting and resolving quality, equipment, or process issues.
• Review and complete production documentation to ensure accuracy and compliance.
• Conduct shift passdowns and cross-functional updates.
• Support employee training and development; step in for absent operators when needed.
• Partner with supervisors to drive Lean Manufacturing initiatives and continuous improvement.

Requirements:

• AS degree or equivalent experience (high school diploma or GED required).
• 3+ years in a regulated manufacturing environment, with 1+ year in a leadership role.
• Hands-on experience in assembly, manufacturing, or production (robotics, automotive, aerospace, or electronics preferred).
• Strong problem-solving and troubleshooting skills, with attention to detail.
• Ability to collaborate across teams and deliver against production goals.
• Excellent communication and time management skills.
• Comfortable lifting up to 50 lbs., working with hand tools, and handling chemicals with PPE.

The US base salary range for this full-time position is between $80,000 - $105,000 annually.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. 

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA.

We are looking for a motivated Embedded Software Intern to support our Humanoid Software Team and contribute to the implementation and testing of core software systems during Fall 2026.

Responsibilities: 

• Implement and test embedded software in C++ running on the Humanoid compute platform
• Develop Python scripts to support data management, test automation or robot calibration
• Contribute to the development of our Continuous Integration and Continuous Deployment (CI/CD) infrastructure
• Support hardware/software integration in the lab

Requirements: 

• Final-year undergraduate student or recent graduate in Computer Science or a related field.
• Minimum 10 weeks internship, 1 to 2 terms preferred
• Ability to showcase extra-academic activities working on hardware/software projects
• Fluent with C++ and Python
• Deep understanding of Linux
• Good knowledge of computer architecture, communication buses and protocols like Ethernet, Ethercat, Serial, CAN or USB
• Comfortable using lab instruments (Oscilloscopes, logic analyzers…) and debugging tools (Lauterbach…)
  

Bonus Qualifications: 

• Experience with the Bazel build system
• Experience with Docker containers
• Experience with Rust

Figure is an AI Robotics company autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. We are based in North San Jose, CA and require 5 days/week in-office collaboration. It’s time to build.

We’re looking for an engineer to own the training and deployment backbone behind our RL-based whole-body control systems. This role sits at the intersection of robotics, machine learning, controls, and software systems engineering, and is critical to how quickly we can iterate, train, and deploy new capability to our fleet of humanoid robots.

Key Responsibilities:

• Own and scale the infrastructure used to train whole-body control policies (simulation, data pipelines, orchestration, visualizations)
• Design systems that are fast, reliable, and highly configurable for our controls engineers
• Ensure high cluster utilization and minimal downtime—unblocking the team and accelerating iteration cycles
• Evaluate and integrate physics engines, simulation environments, and parameterizations to balance realism and training speed
• Optimize hyperparameters and infrastructure to maximize training speed and efficiency and final model performance
• Build robust tooling to take policies from training → validation → deployment on hardware

Requirements:

• Strong software engineering fundamentals with production experience in Python and PyTorch
• Experience building or scaling training infrastructure for robotics, control systems, or large-scale ML workloads
• Familiarity with physics simulation tools such as NVIDIA PhysX, MuJoCo, Warp, or PyBullet
• Working knowledge of dynamics, controls, and robotics systems
• Experience with reinforcement learning, imitation learning, or policy distillation
• Strong ownership mindset—you own systems that your teammates rely on every day
• Experience modeling contact interactions and photorealistic simulation environments for complex manipulation tasks

Bonus Qualifications:

• Experience with humanoid or legged robot control
• Background in distributed systems, job schedulers, or cluster management
• Experience deploying ML models or control policies to real-world systems

The US base salary range for this full-time position is between $200,000 and $300,000 annually.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. 

Figure is an AI Robotics company autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. We are based in North San Jose, CA and require 5 days/week in-office collaboration. It’s time to build.

We are looking for a Staff Reinforcement Learning Engineer to develop, train, deploy, and evaluate advanced reinforcement learning algorithms for whole body control of our humanoid robot.

Key Responsibilities:

• Develop, train, and deploy reinforcement learning algorithms for whole body control
• Determine the observations, actions, and model types that unlock maximum performance
• Identify and close the most important sim-to-real gaps
• Define, test, and evaluate performance metrics for learned policies
• Harden the control stack to ensure rock solid robustness

Requirements:

• Strong background in dynamics and control, ideally of legged robots
• Experience with reinforcement learning algorithms for robotics: PPO, SAC, etc
• Experience tuning hyperparameters and cost functions for these RL algorithms
• Familiarity with common RL techniques such as: domain randomization, curriculum learning, reward shaping, etc.
• Capable of leading complex controls projects and mentoring junior engineers

Bonus Qualifications:

• Experience with behavior cloning techniques (e.g. distillation)

The US base salary range for this full-time position is between $200,000 and $300,000 annually.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. 

Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure 02, is designed for commercial tasks and the home. We are based in San Jose, CA and require 5 days/week in-office collaboration. It’s time to build.

We are looking for a Supplier Quality Engineer with a strong mechanical background to help onboard new vendors, and evaluate and analyze their quality. 

Responsibilities: 

• Evaluate and qualify new suppliers, develop and implement quality plans for suppliers
• Monitor supplier performance metrics and drive improvement initiatives to meet or exceed quality targets
• Review and feedback on vendor DFM and inspection plans
• Review first article inspection reports
• Work with suppliers to resolve quality issues, perform root cause analysis, and implement corrective actions
• Monitor supplier performance metrics and drive improvement
• Work across many types of parts including injection molding, die casting, stamping, wire harness and textiles

Requirements: 

• Strong understanding of manufacturing processes, quality systems, and industrial engineering principles
• Proven experience with process validation, root cause analysis, and continuous improvement methodologies
• Review supplier process plan and drive improvements before start of production
• Expert at GD&T
• Ability to travel up to 20% of the time

Bonus Qualifications:

• Bachelor’s or Master’s Degree in Mechanical, Biomechanical, Robotics, Mechatronics, or similar field
• 4+ years of experience in manufacturing engineering
• CATIA V6 experience
• Robotics or other high tech industry experience

The US base salary range for this full-time position is between $150,000 - $250,000 annually.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. 

OUR COMPANY

As an early mover in the in-space transportation and infrastructure services, Momentus is at the forefront of the commercialization of space. With an experienced team of aerospace, propulsion, and robotics engineers, Momentus has developed a cost-effective and energy-efficient in-space transport system. 

OUR PEOPLE

Daring problems require daring solutions.  We boldly charge into uncharted territory knowing that no matter the outcome we will benefit from the journey and move closer to our goals no matter what. Our teams know that working at Momentus means more than building innovative technology, it means creating entirely new markets in the space economy. We are level-headed, business-minded strategic thinkers intent on providing immediate value to our customers today while simultaneously preparing for the vast possibilities of the future. If this sounds like you, we should talk.

JOB SUMMARY

We are seeking a Mechanical / Propulsion Engineer with a strong hands-on background in spacecraft hardware and propulsion system development. This hybrid role blends mechanical design, propulsion assembly and testing, spacecraft layout/architecture, and cross-functional collaboration across thermal, structural analysis, and manufacturing teams—with a strong emphasis on AIT execution and spacecraft hardware integration. The ideal candidate thrives in fast-paced, hardware-focused environments and enjoys working from concept through fabrication, test, and flight. 

Key Responsibilities 

• Execute hands-on assembly and testing of propulsion systems, including tubing, heaters, sensors, valves, and other fluid-system hardware. 

• Develop 3D CAD models, detailed part/assembly drawings, tolerance analyses, and integrated layouts optimized for tightly constrained spacecraft environments. 

• Design spacecraft hardware such as brackets, enclosures, fluid-routing solutions, thermal/mechanical interfaces, and structural components. 

• Generate models, documentation packages, and work instructions to support AIT (Assembly, Integration & Test) for propulsion and spacecraft mechanical hardware. 

• Collaborate closely with structural, thermal, analysis, and manufacturing teams to iterate designs through the full engineering lifecycle—from early concepts to flight-ready hardware. 

• Support propulsion and mechanical test campaigns, including setup, execution, data review, troubleshooting, and documentation. 

• Apply aerospace standards—including range safety guidelines and RPUG requirements—to ensure compliance, safety, and mission success. 

• Contribute to process development, continuous improvement, and flight-readiness maturation for mechanical and propulsion subsystems. 

Desired Skills & Experience 

• Hands-on experience with propulsion system build-up and testing, including fluid systems, heaters, wiring/sensors, or valve integration. 

• Mechanical design proficiency using modern CAD tools; experience with GD&T, tolerance stack-ups, and drawing release workflows. 

• Familiarity with spacecraft packaging constraints, tight-tolerance interfaces, and multidisciplinary integration challenges. 

• Working understanding of propulsion-system fundamentals, thermal behavior, or fluid dynamics is a plus. 

• Knowledge of aerospace standards (range safety, RPUG, etc.) or prior experience working with flight hardware. 

• Strong documentation skills and the ability to produce clear, concise technical communication. 

• Effective collaborator in hands-on, cross-functional engineering environments; capable of taking hardware from bench to flight. 

Education & Work Experience 

• BS in Mechanical Engineering, Aerospace Engineering, or related field. 3+ years relevant experience. 

• 3 to 5 years of on-the-job engineering experience. 

• Desire to contribute to a highly hands-on engineering setting involving design, integration, testing, and flight hardware ownership. 

Compensation: 

Annual Base Salary Range: $125,000 - $150,000/per year 

Base pay is one part of our total compensation package (base+bonus+equity) and is determined within a range. Your actual base salary will be determined on job-related knowledge and skills, education, and experience.  Our benefit plans include medical, dental, and vision insurance, 401k retirement plan, short and long term disability and life insurance. We also offer flexible PTO, along with 11 paid holidays, sick time and paid parental leave.

This is a full-time position in San Jose, California. This position requires access to export-controlled commodities, technical data, technology, software, and services. U.S. citizenship, U.S. legal permanent resident status, or protected person status under 8 U.S.C. § 1324b(a)(3) is required. 

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

To all recruitment agencies: Momentus does not accept agency resumes. Please do not forward resumes to our employees or any company email. Momentus will not be responsible for any fees related to unsolicited resumes.  

About the role

Muon seeks a Mechanical Engineer to join our team. The ideal candidate can go deep on design and analysis but also has a "systems mindset" and will be a force multiplier collaborating with other disciplines to arrive at an elegant, well-balanced design. Being an early-stage startup with a small team, breadth is extremely important and we expect this person to dive into structural analysis, dynamics, thermal design, supplier management, and everything else associated with the full lifecycle of an electromechanical product.

This is an individual contributor role focused on hands-on design, analysis, build support, and test execution for spacecraft mechanical hardware.

Due to the hands-on nature of this role, it requires onsite work at our Mountain View and San Jose locations.

Responsibilities

Mechanical Design

• Create, review, and refine spacecraft component and subsystem mechanical designs in a modern CAD package (SolidWorks), managing small-to-medium assemblies
• Develop clean-sheet mechanical and structural designs through detailed design, consistent with the risk posture, development velocity, and deployment schedules at Muon
• Create quick concepts to drive early-phase discussions and inspire the team
• Influence flight designs to ensure hardware is optimized for manufacturability, assembly, and testability
• Make economically sound make vs. buy decisions, balancing the need to quickly demonstrate capability while understanding the path to scaled-up constellations

Analysis

• Perform stress and dynamic analyses (hand calculations, simple FEM) to support and inform structural designs, including joint design, fastener sizing, and stiffness analyses
• Collaborate with structural and thermal analysts to iterate designs for performance and manufacturability
• Conduct trade studies to evaluate design alternatives and document recommendations
• Support mass budget tracking and tolerance stack-up analyses for mechanical assemblies

Build & Integration

• Create and maintain build procedures, assembly instructions, and work orders for mechanical hardware
• Support and oversee technicians during assembly and integration of mechanical components and subsystems
• Identify and resolve fit, form, and function issues during hardware builds
• Drive designs toward producibility, considering prototype through production quantity needs
• Conduct first article inspections (FAIs) and document non-conformances; participate in MRB as needed

Test & Verification

• Design test fixtures and GSE to support development, qualification, and acceptance testing
• Develop component and subsystem-level test plans and procedures for environmental testing (vibration, shock, TVAC)
• Specify and integrate test instrumentation (accelerometers, strain gauges, thermocouples, etc.)
• Execute and support environmental test campaigns; collect, reduce, and analyze test data
• Document test results and correlate with analysis predictions; recommend design updates as needed

Documentation & Configuration Management

• Create and maintain engineering drawings with proper GD&T, BOMs, and revision control
• Author and maintain design documentation including trade studies, interface control documents (ICDs), and design rationale
• Execute ECOs/DCOs and maintain configuration control through PLM systems
• Document lessons learned from builds and tests to inform future designs

Collaboration & Coordination

• Own delivery of mechanical items and subsystems, coordinating with analysts, avionics, program, thermal, optical, and RF engineers
• Manage development of mechanical/structural architectures through detailed design in collaboration with cross-functional stakeholders
• Coordinate with external vendors for part prototyping and development; review vendor deliverables for compliance with requirements
• Present design status, trade studies, and test results at design reviews

Required Qualifications

• 5 years of experience designing, building, and testing flight hardware in the space industry (or similar: aerospace, autonomous vehicles, robotics, etc.)
• B.S. or higher degree in Mechanical Engineering
• Proficiency in CAD (SolidWorks preferred) for component and assembly design
• Experience with engineering drawings, GD&T, BOMs, and ECO processes
• Demonstrated experience executing structural or environmental tests and documenting results
• Hands-on experience supporting hardware builds and integration activities
• Strong documentation skills: ability to author clear build procedures, test plans, and technical reports
• Excellent communication, presentation, and cross-functional coordination skills
• A desire to change the way the world understands and reacts to climate and environmental data
• Excited to work in a fast-paced environment with new opportunities each week

Nice-to-Have Skills

• Experience with deployable structures (solar arrays, antennas, mechanisms) or SADA mechanisms
• Experience running structural analyses for spacecraft (FEMAP, ANSYS, Nastran)
• Experience with thermal management systems for spacecraft
• Experience designing and executing qualification-level environmental tests (vibration, TVAC, shock)
• Large assembly management in SolidWorks PDM; experience with PLM systems (Duro or similar)
• Optomechanical instrument or payload design
• Experience with composite materials and bonded assemblies
• Experience managing external vendors for part prototyping and development
• Software skills in Python, MATLAB, or similar for data analysis and automation
• Familiarity with FAI processes, non-conformance reporting, and MRB activities
• Google Workspace proficiency (Sheets, Slides, Docs); Slack

Salary

The salary range for this role is  $144,000 - $177,000 plus a competitive equity grant and comprehensive benefits package. Final compensation will be based on skills, qualifications, experience, and geographic location as assessed during the interview process.