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. 

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 hiring Helix Data Creators to support our humanoid robot development efforts in Spartanburg, SC. This role begins as a hands-on, full-time contract as a Data Creator, where you’ll wear sensors provided by Figure to guide and collect motion data that trains our robots.

It’s a great opportunity for anyone excited to get into robotics and grow from within. Depending on your performance, skills, and interests, you may grow into longer-term roles like Robot Operator, Pilot Support, or even a full Humanoid Pilot role.

Responsibilities: 

• Wear sensor equipment to guide the robot through human-like motions
• Collect high-quality motion data used to train AI models
• Flag any issues or bugs during collection and share daily feedback with the team
• Follow proper equipment and robot maintenance procedures, including setup and shutdown
• Maintain a safe and organized workspace during all operations

Requirements: 

• Excellent physical coordination, spatial awareness, and focus
• Stay on your feet for 8+ hours a day and be engaged for extended periods during data collection
• Master new physical tasks quickly and find the optimal way to perform them
• Embrace constructive feedback and strive for constant improvement
• Thrive in a fast paced environment

Bonus Qualifications:

• Experience working with robots or troubleshooting mechanical systems
• A passion for helping scale the deployment of learning humanoid robots

This is a contract-to-hire position, with potential for longer-term opportunities depending on your contributions and interests. We’re looking for motivated people who want to support real-world robot development—and grow with us.

The US base salary range for this full-time position starts at $20/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 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.

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.

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

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.

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.

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 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, but this role will be based at one of our customer sites in Reno, NV.

The Deployment Engineer will be a key team member initially for development, and shortly thereafter deployment into customer sites. 

Responsibilities: 

• Support engineering with deployment and development, serving as an on-site representative 
• Develop testing plans and procedures for customer site, prioritizing roadmaps and development goals 
• Execute testing at the customer site, including tracking and analyzing data collections and debugging as necessary
• Ensure the necessary testing goals are achieved while maintaining and exceeding customer performance expectations and requirements 
• Collect and analyze testing data to improve our software and hardware performance 
• Communicate feedback to engineering clearly

Requirements: 

• 3-5+ years of work experience in automotive or industrial automation/robotics integration, deployment, and development 
• Engineering degree 
• Excellent judgment and execution in high pressure situations
• Experience transitioning products from design to pilot to commercialization 
• Familiarity with project management software (Confluence, Jira, etc.)
• Willingness to travel frequently between HQ and customer site 
• Experience with Linux, Python or other coding languages 
• Experience in customer-facing roles 

Bonus Qualifications:

• Software validation experience

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, but this role will be based at one of our customer sites in Reno, NV.

This is a contract-to-hire position with the goal of transitioning to full-time employment.

As a Humanoid Robot Operator, you'll have the unique opportunity to work directly with our humanoid robots to test and validate new behaviors and skills.

Responsibilities: 

• Ensure successful operations of the robot in the field or on customer sites.
• Follow proper equipment and robot maintenance procedures, including bring-up and shutdown.
• Run the robot, identify bugs and problems, relay feedback to the appropriate teams.
• Track, document, and escalate issues to the appropriate engineering teams using Jira.
• Adhere to all safety procedures related to robot and teleoperation equipment.

Requirements: 

• Willingness to own the operations of the humanoid and drive proper functioning of the robot.
• Excellent communication skills. 
• Demonstrate sustained focus and attention while performing assigned tasks.
• Experience working with robots or troubleshooting mechanical systems.
• Can stand 8+ hours a day and physically manage humanoid hardware
• Embrace constructive feedback and strive for constant improvement.
• Thrive in a fast paced environment.
• Valid drivers license and clean driving record

Bonus Qualifications:

• A passion for helping scale the deployment of humanoid robots.
• Excellent physical coordination, spatial awareness, and focus. 
• Master new physical tasks quickly and find the optimal way to perform them. 

The US base hourly rate for this full-time position is $26-30/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 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. 

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 Mechanical Engineer to support the test infrastructure team to design, and build prototype hardware across our integration and test teams.

Key Responsibilities:

• Cradle to grave ownership of prototype integration and test equipment
• Design and build test fixtures to validate robot hardware to real-world loading and failure conditions
• Develop drivelines and test stands for actuator integration and validation
• Support electromechanical integration with components such as sensors and motors
• Generate accurate 2D drawings using GD&T per ASME Y14.5 to ensure tight tolerances and proper fits
• Collaborate with mechanical engineering and systems integration teams on hands-on testing

Requirements:

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

Bonus Qualifications:

• Experience with CATIA V6
• Familiarity with manufacturing processes and first article inspection
• Experience with actuators, including strain-wave, planetary, or cycloidal
• Exposure to sensors, motors, or electromechanical systems
• Experience with FEA, simulation tools, or basic programming (Python, MATLAB)

The US base salary range for this full-time position is between $120,000-175,000 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.

As a Humanoid Robot Pilot, you'll have the unique opportunity to work directly with our learning humanoid robots and teach them new behaviors and skills. You will be at the forefront of our operations, collecting new data to train our AI systems and working with the AI team to refine behaviors over time.

This role requires flexibility to work across varying shifts, including nights. Travel is also required and may vary in length, from short day trips to offsite stays of up to one month.

Responsibilities:

• Wear teleoperation equipment and guide the robot through designated behaviors
• Upload collected data to our AI training system
• Proactively identify issues during collection and report feedback daily to Figure's AI team
• Maintain a safe environment for both yourself and the robot during teleoperation
• Follow proper equipment and robot maintenance procedures, including bring-up and shutdown

Requirements:

• Excellent physical coordination, spatial awareness, and focus
• Can stand 8+ hours a day
• Master new physical tasks quickly and find the optimal way to perform them
• Embrace constructive feedback and strive for constant improvement
• Thrive in a fast paced environment

Bonus Qualifications:

• Experience working with robots or troubleshooting mechanical systems
• A passion for helping scale the deployment of learning humanoid robots

The US base salary range for this full-time position is between $35-$40/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. Our goal is to build embodied AI systems that can perceive, reason, and act in the real world. Figure is headquartered in San Jose, CA, and this role requires 5 days/week in-office collaboration.

Our Helix team is responsible for developing the core AI systems that power humanoid autonomy. We are looking for a Helix AI Engineer, Modeling to design and advance the core model architectures and learning approaches that enable perception, reasoning, and action in embodied systems.

This role focuses on developing new modeling approaches across vision, language, and action—spanning representation learning, multimodal fusion, and model capabilities that directly impact robot intelligence.

Responsibilities

• Design and develop model architectures for perception, reasoning, and action across multimodal inputs (e.g., vision, language, proprioception)
• Build models that learn structured representations of the world, including objects, dynamics, and interactions
• Advance multimodal learning approaches, including fusion, alignment, and cross-modal reasoning
• Improve model capabilities in areas such as generalization, robustness, and long-horizon reasoning
• Work across the model lifecycle, from initial research and prototyping to training and deployment
• Collaborate closely with pretraining, video, generative, RL, and robot learning teams to integrate modeling advances into the full autonomy stack
• Design experiments and evaluation frameworks to understand model behavior and guide iteration
• Contribute to the development of new modeling paradigms for embodied AI systems

Requirements

• Experience designing and training deep learning models for vision, language, or multimodal systems
• Strong understanding of modern model architectures (e.g., transformers and related approaches)
• Experience improving model performance through architectural innovation and experimentation
• Proficiency in Python and deep learning frameworks such as PyTorch
• Strong experimental rigor and ability to iterate on model design and performance
• Solid software engineering skills and ability to build reliable, maintainable systems
• Ability to operate independently and drive ambiguous, high-impact technical problems

Bonus Qualifications

• Experience with multimodal models (vision-language or vision-language-action systems)
• Background in representation learning, world models, or structured prediction
• Experience working on frontier models at companies such as OpenAI, Google DeepMind, Anthropic, Meta, or xAI
• Familiarity with embodied AI, robotics, or real-world ML systems
• Experience with large-scale training or distributed systems
• Publication record in machine learning, computer vision, NLP, or multimodal AI

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. Our goal is to build embodied AI systems that can perceive, reason, and act in the real world. Figure is headquartered in San Jose, CA, and this role requires 5 days/week in-office collaboration.

Our Helix team is responsible for developing the core AI systems that power humanoid autonomy. We are looking for a Helix AI Engineer, Reinforcement Learning to develop learning systems that enable robots to acquire skills through interaction, feedback, and experience.

This role focuses on applying and advancing reinforcement learning across simulation and real-world environments—improving policy performance, robustness, and long-horizon decision-making in embodied systems.

Responsibilities

• Design and implement reinforcement learning algorithms for embodied agents operating in real-world and simulated environments
• Train policies that learn from interaction, feedback, and large-scale experience across diverse tasks
• Develop reward modeling, credit assignment, and exploration strategies for complex, long-horizon behaviors
• Improve policy robustness to real-world challenges such as noise, partial observability, and environment variability
• Work across online and offline RL settings, including learning from large-scale logged robot data
• Collaborate closely with pretraining, video, generative, agent, and robot learning teams to integrate RL into the full autonomy stack
• Build scalable training systems for RL, including distributed rollouts, simulation infrastructure, and experiment management
• Design evaluation frameworks to measure policy performance, stability, and generalization

Requirements

• Experience developing and applying reinforcement learning algorithms in complex environments
• Strong understanding of RL fundamentals (e.g., policy optimization, value methods, model-based RL)
• Experience training policies in simulation and/or real-world systems
• Proficiency in Python and deep learning frameworks such as PyTorch
• Experience with large-scale experimentation and distributed training systems
• Strong experimental rigor and ability to diagnose and improve learning systems
• Solid software engineering skills and ability to build scalable, reliable systems
• Ability to operate independently and drive ambiguous, high-impact technical problems

Bonus Qualifications

• Experience applying RL to robotics, control systems, or embodied AI
• Experience with large-scale RL infrastructure (distributed rollouts, simulation at scale)
• Background in offline RL, imitation learning, or hybrid learning approaches
• Experience with reward modeling or human-in-the-loop learning
• Experience at leading AI labs such as OpenAI, Google DeepMind, Anthropic, or xAI
• Familiarity with robotics systems, simulation environments, or real-world deployment constraints
• Publication record in reinforcement learning, machine learning, or robotics

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. Our goal is to build embodied AI systems that can perceive, reason, and act in the real world. Figure is headquartered in San Jose, CA, and this role requires 5 days/week in-office collaboration.

Our Helix team is responsible for developing the core AI systems that power humanoid autonomy. We are looking for a Helix AI Engineer, Pretraining to build large-scale foundation models that learn from diverse data sources including text, images, video, and robot-collected experience.

This role focuses on advancing pretraining methods that enable generalization, reasoning, and adaptability—forming the backbone for downstream capabilities in perception, planning, and action.

Responsibilities

• Design and train large-scale foundation models across multimodal data (e.g., text, vision, and robot data)
• Develop pretraining strategies that improve generalization, reasoning, and transfer to downstream embodied tasks
• Explore and implement architectures including transformer-based and emerging foundation model paradigms
• Work on scaling laws, dataset mixture design, and training dynamics for frontier models
• Build and optimize large-scale distributed training pipelines across multi-node GPU clusters
• Collaborate closely with video, generative, agent, and robot learning teams to integrate pretrained models into the autonomy stack
• Design evaluation frameworks to measure reasoning ability, robustness, and cross-domain generalization
• Contribute to post-training approaches including fine-tuning, alignment, and model adaptation

Requirements

• Experience training large-scale foundation models or working on pretraining for LLMs or multimodal systems
• Strong understanding of modern deep learning architectures, especially transformers
• Experience with large-scale distributed training and optimization
• Proficiency in Python and deep learning frameworks such as PyTorch
• Strong experimental rigor and ability to iterate on model design and training strategies
• Solid software engineering skills and ability to build scalable, reliable systems
• Ability to operate independently and drive ambiguous, high-impact technical problems

Bonus Qualifications

• Experience working on frontier foundation models at companies such as Anthropic, OpenAI, Google DeepMind, or xAI
• Experience with multimodal pretraining (vision-language or vision-language-action models)
• Background in scaling laws, dataset curation, and large-scale data mixture optimization
• Experience with post-training techniques such as RLHF, reward modeling, or alignment methods
• Familiarity with embodied AI, robotics, or real-world deployment constraints
• Publication record in machine learning, NLP, or multimodal AI

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. Our goal is to build embodied AI systems that can perceive, reason, and act in the real world. Figure is headquartered in San Jose, CA, and this role requires 5 days/week in-office collaboration.

Our Helix team is responsible for developing the core AI systems that power humanoid autonomy. We are looking for a Helix AI Engineer, Video Pretraining to lead the development of large-scale video foundation models trained on diverse real-world and robot-collected data.

This role focuses on pretraining models that learn from raw video—capturing motion, interaction, and temporal structure—to enable downstream capabilities in perception, prediction, and embodied reasoning.

Responsibilities

• Design and train large-scale video foundation models on diverse datasets spanning internet-scale video and robot-collected data
• Develop pretraining strategies that capture temporal dynamics, motion, and object interaction from raw video sequences
• Build models that learn transferable representations for downstream tasks such as perception, tracking, prediction, and control
• Explore architectures for video understanding and generation, including transformer-based and diffusion-based approaches
• Implement efficient data pipelines and training strategies for high-throughput video ingestion and large-scale distributed training
• Optimize model performance across compute, memory, and training efficiency constraints
• Collaborate closely with generative modeling, agent, and robot learning teams to integrate pretrained models into the autonomy stack
• Design evaluation frameworks and benchmarks to measure temporal understanding, prediction quality, and generalization

Requirements

• Experience training large-scale models on video data or other high-dimensional sequential modalities
• Strong understanding of modern deep learning architectures for video, vision, or multimodal systems
• Experience with large-scale pretraining, including dataset curation, training dynamics, and scaling laws
• Proficiency in Python and deep learning frameworks such as PyTorch
• Experience working with distributed training systems and large GPU clusters
• Strong experimental rigor and ability to iterate quickly on model design and training strategies
• Solid software engineering skills and ability to build scalable, reliable systems
• Ability to operate independently and drive ambiguous, high-impact research directions

Bonus Qualifications

• Experience working on frontier video models or multimodal foundation models
• Background in video diffusion, autoregressive video modeling, or world models
• Experience at leading AI labs such as OpenAI, Google DeepMind, Google, ByteDance, Midjourney, or Adobe
• Experience with large-scale dataset construction and filtering for video pretraining
• Familiarity with robotics, embodied AI, or learning from egocentric / first-person video
• Publication record in machine learning, computer vision, or multimodal AI

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. Our goal is to build embodied AI systems that can perceive, reason, and act in the real world. Figure is headquartered in San Jose, CA, and this role requires 5 days/week in-office collaboration.

Our Helix team is responsible for developing the core AI systems that power humanoid autonomy. We are looking for a Helix AI Engineer, Generative AI to build and scale generative models that enable robots to understand, simulate, and interact with the physical world. This role focuses on training and deploying diffusion and generative models across vision, video, and multimodal domains, with applications spanning perception, data generation, and model-based reasoning.

Responsibilities

• Design, train, and deploy large-scale generative models, with a focus on diffusion-based approaches for vision, video, and multimodal data
• Develop models that improve robot perception, world modeling, and prediction from raw sensory inputs
• Build generative systems for synthetic data creation, augmentation, and dataset scaling for robot learning
• Explore and implement state-of-the-art techniques in diffusion, generative modeling, and multimodal foundation models
• Optimize training pipelines for large-scale generative models across distributed systems
• Work closely with data, training infrastructure, and agent teams to integrate generative models into the full autonomy stack
• Evaluate model quality, robustness, and generalization across real-world scenarios
• Contribute to the design of scalable experimentation frameworks for generative model development

Requirements

• Experience training and deploying generative models (diffusion, autoregressive, or related approaches) at scale
• Strong understanding of modern deep learning techniques for vision and/or multimodal systems
• Proficiency in Python and deep learning frameworks such as PyTorch
• Experience working with large-scale datasets and distributed training systems
• Strong experimental rigor and ability to iterate quickly on model performance
• Solid software engineering skills and ability to build reliable, maintainable systems
• Ability to operate independently and own ambiguous, high-impact technical problems

Bonus Qualifications

• Experience with diffusion models for image or video generation
• Experience with multimodal foundation models (vision-language or vision-language-action)
• Background in synthetic data generation or simulation for robotics or embodied AI
• Experience optimizing large-scale training (multi-node, GPU clusters, etc.)
• Familiarity with 3D, video prediction, or world models
• Prior work in robotics, embodied AI, or real-world ML systems
• Publication record in machine learning, computer vision, or generative modeling

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 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.

Figure’s vision is to deploy autonomous humanoids at a global scale. Our Helix team is seeking an experienced AI Tooling Engineer to enhance our internal, web-based data and AI training tools. This role focuses on developing intuitive web interfaces that support key AI research functions, including robot data annotation, training dataset visualization, and experiment tracking. The ideal candidate has experience building rich, interactive web interfaces using React and TypeScript.

Responsibilities

• Design and build intuitive web interfaces for robot data annotation, datasets visualization, and experiment tracking
• Utilize data-driven techniques to optimize interfaces for efficiency and fast iteration cycles
• Integrate AI models to automate manual tasks
• Work together with AI researchers, robot operators, and annotators to support new user experiences

Requirements

• Strong software engineering fundamentals
• Bachelor's or Master's degree in Computer Science, Robotics, Engineering, or a related field
• Minimum of 4 years of professional, full-time experience building rich, interactive web interfaces
• Proficiency in React and TypeScript

Bonus Qualifications

• Experience using data stores (Postgres, MySQL, ElasticSearch, Redis, etc.)
• Experience managing cloud infrastructure (AWS, Azure, GCP)
• Experience with Tailwind CSS
• Experience building data annotation and dataset management tools.
  
  

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.

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 Helix team is looking for an experienced Training Infrastructure Engineer, to take our infrastructure to the next level. This role is focused on managing the training cluster, implementing distributed training algorithms, data loaders, and developer tools for AI researchers. The ideal candidate has experience building tools and infrastructure for a large-scale deep learning system.

Responsibilities

• Design, deploy, and maintain Figure's training clusters
• Architect and maintain scalable deep learning frameworks for training on massive robot datasets
• Work together with AI researchers to implement training of new model architectures at a large scale
• Implement distributed training and parallelization strategies to reduce model development cycles
• Implement tooling for data processing, model experimentation, and continuous integration

Requirements

• Strong software engineering fundamentals
• Bachelor's or Master's degree in Computer Science, Robotics, Engineering, or a related field
• Experience with Python and PyTorch
• Experience managing HPC clusters for deep neural network training
• Minimum of 4 years of professional, full-time experience building reliable backend systems

Bonus Qualifications

• Experience managing cloud infrastructure (AWS, Azure, GCP)
• Experience with job scheduling / orchestration tools (SLURM, Kubernetes, LSF, etc.)
• Experience with configuration management tools (Ansible, Terraform, Puppet, Chef, etc.)
  
  

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 a general purpose humanoid. Our humanoid robot is designed for commercial tasks and the home. We are based in San Jose and require 5 days/week in-office collaboration. It’s time to build.

Figure’s vision is to deploy autonomous humanoids at a global scale. Our Helix team is looking for an experienced Data Infrastructure Engineer, to take our AI data infrastructure to the next level. This role is focused on building tools and software components that offload, store, manipulate and provide access to robot data, managing on premise and cloud resources, and providing production support for this infrastructure. The ideal candidate has experience building tools and infrastructure for a large-scale autonomous / deep learning system.

Responsibilities

• Design, build, and maintain tools and software components that offload, store, manipulate and provide access to robot data
• Architect and manage storage and compute resources across on-premise and cloud environments at a massive scale.
• Implement optimal data transmission and storage solutions for all stages of Figure’s data pipeline from recording to neural network training
• Work together with AI researchers to support new kinds of data workflows

Requirements

• Strong software engineering fundamentals
• Bachelor's or Master's degree in Computer Science, Robotics, Engineering, or a related field
• Minimum of 4 years of professional, full-time experience building reliable backend systems
• Experience with Linux and command line tools
• Experience with Python
• Experience using and managing data stores (Postgres, MySQL, ElasticSearch, Redis, etc.).

Bonus Qualifications

• Experience managing cloud infrastructure (AWS, Azure, GCP)
• Experience with job scheduling / orchestration tools (SLURM, Kubernetes, LSF, etc.)
• Experience with configuration management tools (Ansible, Terraform, Puppet, Chef, etc.)
• Experience building data annotation and dataset management tools.
  
  

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. 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 Production Associate to build our robots. 

Shift: 6:00am - 6:30pm, Monday - Friday

*Swing shifts are available from 10:00am - 10:30pm, Monday - Friday

Responsibilities:

• Assemble mechanical, electrical, and software-integrated components of humanoid robots with quality and efficiency
• Follow detailed work instructions, schematics, and assembly procedures to ensure consistent build quality
• Perform inspections, testing, and troubleshooting of robotic systems to identify and resolve defects
• Work with engineers and technicians to improve assembly processes and optimize efficiency
• Maintain a clean and organized workspace, adhering to safety and quality standards
• Contribute to process documentation and continuous improvement initiatives

Requirements: 

• Respectful work attitude with a championship mindset
• Excellent time management skills and a commitment to punctuality
• Hands-on experience in assembly, manufacturing, or production—preferably in robotics, automotive, aerospace, or electronics industries
• Strong attention to detail and pride in high-quality workmanship
• Comfortable working in a fast-paced, dynamic environment with shifting priorities
• Physical ability to lift up to 50 lbs, stand for long periods, and use hand tools effectively
• Familiarity with basic metrics of manufacturing such as Safety, Quality and Rate

Bonus Qualifications:

• Experience with high tech manufacturing tools and automation
• Experience with robotic systems, automation, or electromechanical assembly

The US hourly range for this full-time position is between $25 - $35/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 a Production Associate to build our robots. 

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

Responsibilities:

• Assemble mechanical, electrical, and software-integrated components of humanoid robots with quality and efficiency
• Follow detailed work instructions, schematics, and assembly procedures to ensure consistent build quality
• Perform inspections, testing, and troubleshooting of robotic systems to identify and resolve defects
• Work with engineers and technicians to improve assembly processes and optimize efficiency
• Maintain a clean and organized workspace, adhering to safety and quality standards
• Contribute to process documentation and continuous improvement initiatives

Requirements: 

• Respectful work attitude with a championship mindset
• Excellent time management skills and a commitment to punctuality
• Hands-on experience in assembly, manufacturing, or production—preferably in robotics, automotive, aerospace, or electronics industries
• Strong attention to detail and pride in high-quality workmanship
• Comfortable working in a fast-paced, dynamic environment with shifting priorities
• Physical ability to lift up to 50 lbs, stand for long periods, and use hand tools effectively
• Familiarity with basic metrics of manufacturing such as Safety, Quality and Rate

Bonus Qualifications:

• Experience with high tech manufacturing tools and automation
• Experience with robotic systems, automation, or electromechanical assembly

The US hourly range for this full-time position is between $25 - $35/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 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.

The Quality Technician will verify that incoming and in-process material meets Figure AI drawings and specifications. They will be responsible for the inspection of material and the coordination of MRB activities, including data input, reporting, and logistics associated with material dispositions. This person will also administer the calibration system, ensuring that measuring and test equipment is within its calibration due date. The Quality Technician will work closely with Quality Engineering to provide reports, charts, graphs, etc., to monitor and improve product quality. The successful candidate must have the ability to meet tight deadlines, possess strong interpersonal and communication skills, be detail-oriented, and be able to work independently. The candidate must establish and maintain a professional working relationship with line supervisors, operators, and other shop floor stakeholders.

Responsibilities: 

• Inspection/verification of in-process Figure AI-built material
• Manage nonconforming material through the MRB process to ensure that nonconforming material is identified, appropriately dispositioned, tracked, and reported
• Take the lead on initiating containment activities for production quality issues
• Conduct root cause investigation and resolution of daily production and scrap material quality issues
• Provide data input and output reports to assist in quality improvement activities
• Coordinate calibration activities for go/no-go gauges and other quality tools used in the production process
• Provide mechanical measurement support to identify or solve potential material issues for production parts
• Actively support getting parts measured for FAI purposes

Requirements: 

• 3–5 years of experience in a Manufacturing Quality Control environment
• Knowledge of ISO 9001:2000 or TS16949 is a plus
• Ability to read and interpret basic mechanical drawings
• Able to use basic measurement tools such as pin gauges, bore gauges, calipers, and micrometers
• Proficient in Microsoft Office or Google Suite
• Must have command of the English language, both written and verbal

The US base salary range for this full-time position is between $35 - $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 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 Global Supply Manager to create and own commercial relationships with our suppliers and manufacturing partners. You will be owning setting up our supply chain, helping determine where we manufacture the robots and how we get from prototype to production volumes.

Responsibilities

• Strategic Sourcing: 
  • Develop and execute global sourcing strategies for PCBAs, identifying and qualifying new suppliers worldwide.
  • Conduct market research and analysis to identify industry trends, cost drivers, and emerging technologies in PCBA manufacturing.
  • Negotiate contracts with suppliers, ensuring favorable pricing, terms, and service levels.
  • Manage supplier relationships, fostering collaboration and continuous improvement.

• Procurement: 
  • Oversee the procurement process for PCBAs, ensuring compliance with company policies and procedures.
  • Manage purchase orders, track shipments, and resolve any supply chain disruptions.
  • Collaborate with internal stakeholders (engineering, production, quality) to ensure PCBA specifications and requirements are met.

• Supply Chain Management: 
  • Optimize inventory levels of PCBAs to balance cost, lead time, and demand variability.
  • Implement supply chain risk mitigation strategies, including supplier diversification, buffer stock, and alternative sourcing options.
  • Monitor supplier performance, track key metrics, and drive continuous improvement initiatives.

• Cost Management: 
  • Identify and implement cost reduction opportunities across the PCBA supply chain.
  • Analyze cost data, negotiate pricing, and optimize procurement processes to achieve cost savings targets.

• Quality Management: 
  • Collaborate with suppliers and internal quality teams to ensure PCBA quality meets or exceeds company standards.
  • Participate in supplier audits and quality reviews.
  • Drive continuous improvement in supplier quality performance.

Others: 

• Negotiate long-term deals and supply agreements which will let us build our humanoid robot
• Select a contract manufacturer to build critical components for the humanoid robot with input from engineering
• Work with our business team and track robot and auxiliary equipment costs. Analyze areas to improve.
• Collaborate closely with cross-functional teams, including engineering and manufacturing, to align sourcing activities with the company's product development and production timelines.

Requirements

• 7+ years of experience in supply chain development, or sourcing management
• Hands-on experience in many of the following: PCBA, FATP, PCB, EE components, Contract Manufacturer Management,.. etc.
• Excellent, negotiation and communication skills
• Skilled at establishing strong relationships with suppliers and internal stakeholders.
• Ability to travel internationally 25%+

Bonus Qualifications: 

• Engineering degree
• Previous work at a startup or on a very lean team
• Robotics industry experience

The US base salary range for this full-time position is between $140,000 - $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 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 AI's Reliability team is looking for a motivated and talented Reliability Test Engineering Intern to join our team for an extended internship of 8 to 12 months. In this role, you will be a key contributor to the development and testing of our humanoid hardware systems, ensuring our products are meeting the reliability targets. This is a unique, hands-on opportunity to apply your academic knowledge to real-world challenges in a fast-paced and dynamic environment.

Responsibilities: 

• Design and build custom scalable test stations to perform functional, performance, and reliability testing on key robotic sub-assemblies.
• Develop mechanical and electrical systems incorporating diverse hardware components including, DAQ, communication modules, actuators, and sensors.
• Facilitate the electromechanical integration of sensors, motors, and controllers, ensuring proper functionality and communication within the system.
• Generate detailed electrical schematic drawings and wiring diagram documentation.
• Collaborate with cross-functional engineering teams on hands-on testing, data analysis, and iterative design improvements.
• Contribute to the root cause analysis and resolution of complex hardware-software integration issues across mechanical, electrical, and control domains.
• Conduct test-station bring-up and qualification to ensure system robustness, and drive setup improvements to meet testing and data-capture requirements.

Requirements: 

• Portfolio or website showcasing relevant projects and your role
• Pursuing a degree in Mechanical, Robotics, Mechatronics, Electrical or a related engineering field, with at least two years completed by the start of the internship
• Demonstrated hands-on experience designing, building, and testing mechanical or electromechanical prototypes.
• Familiarity version control (Git) and programming (e.g., Python, C++, C, MATLAB)
• Strong hands-on hardware aptitude and a proven ability to take hardware projects from concept to reality.
• Excellent analytical and problem-solving skills with a keen attention to detail.
• Strong written and verbal communication skills for effective collaboration with cross-functional teams.
• A genuine passion for robotics and hardware development.

Bonus Qualifications:

1. Proficiency in CAD software for mechanical and electrical design. (CATIA V6 experience)
2. Familiarity with rapid prototyping (3D printing, circuit design)
3. Familiarity with manufacturing processes and first article inspection
4. Familiarity with test station qualification process
5. Experience with sensors, motors, or electromechanical systems
6. Familiarity with Linux

The US hourly range for this internship position is between $35 - $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.

This is a contract-to-hire position with the goal of transitioning to full-time employment.

As a Humanoid Robot Operator, you'll have the unique opportunity to work directly with our humanoid robots to test and validate new behaviors and skills.

You will be at the forefront of our operations, deploying the robots for real commercial use cases, identifying issues, and properly filing JIRA tickets to relay failures to the appropriate teams.

SHIFT — 10:30 PM - 7:00 AM

Responsibilities:

• Be responsible for the humanoid robot operating successfully for the Customer use case 
• Run the robot constantly throughout the day/midevening, identifying bugs and problems
• Track, document, and escalate issues to the appropriate engineering teams using Jira.
• Ensure work areas meet organizational cleanliness and organization standards.
• Adhere to all safety procedures related to robot operation and teleoperation equipment.
• Follow proper equipment and robot maintenance procedures, including bring-up and shutdown.

Requirements:

• Willingness to own the operations of the humanoid and drive proper functioning of the robot 
• Excellent communication skills. 
• Demonstrate sustained focus and attention while performing assigned tasks.
• Experience working with robots or troubleshooting mechanical systems.
• Can stand 8+ hours a day and physically manage humanoid hardware
• Embrace constructive feedback and strive for constant improvement.
• Thrive in a fast paced environment.
• 5 day workweek with a mandatory weekend shift and  2 days off

Physical Requirements:

• Lifting & Handling: Must be able to safely lift, carry, and maneuver equipment or humanoid hardware weighing up to 50 lbs independently.
• Sustained Mobility: Ability to stand and move throughout the work area for the entirety of an 8+ hour shift (excluding meal/rest breaks).
• Manual Effort: Capacity for frequent bending, reaching, stooping, and fine motor manipulation of robot hardware.

Bonus Qualifications:

• A passion for helping scale the deployment of learning humanoid robots.
• Excellent physical coordination, spatial awareness, and focus. 
• Master new physical tasks quickly and find the optimal way to perform them. 

There will be a  2–3 week training process at company headquarters. Training takes place Monday through Friday from 7:30 AM–4:00 PM.

The US base hourly rate for this full-time position is $30/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.

This is a contract-to-hire position with the goal of transitioning to full-time employment.

As a Humanoid Robot Operator, you'll have the unique opportunity to work directly with our humanoid robots to test and validate new behaviors and skills.

You will be at the forefront of our operations, deploying the robots for real commercial use cases, identifying issues, and properly filing JIRA tickets to relay failures to the appropriate teams.

SHIFTS — 2:30 PM - 11:00 PM 

Responsibilities:

• Be responsible for the humanoid robot operating successfully for the Customer use case 
• Run the robot constantly throughout the day/midevening, identifying bugs and problems
• Track, document, and escalate issues to the appropriate engineering teams using Jira.
• Ensure work areas meet organizational cleanliness and organization standards.
• Adhere to all safety procedures related to robot operation and teleoperation equipment.
• Follow proper equipment and robot maintenance procedures, including bring-up and shutdown.

Requirements:

• Willingness to own the operations of the humanoid and drive proper functioning of the robot 
• Excellent communication skills. 
• Demonstrate sustained focus and attention while performing assigned tasks.
• Experience working with robots or troubleshooting mechanical systems.
• Can stand 8+ hours a day and physically manage humanoid hardware
• Embrace constructive feedback and strive for constant improvement.
• Thrive in a fast paced environment.
• 5 day workweek with a mandatory weekend shift and  2 days off

Physical Requirements:

• Lifting & Handling: Must be able to safely lift, carry, and maneuver equipment or humanoid hardware weighing up to 50 lbs independently.
• Sustained Mobility: Ability to stand and move throughout the work area for the entirety of an 8+ hour shift (excluding meal/rest breaks).
• Manual Effort: Capacity for frequent bending, reaching, stooping, and fine motor manipulation of robot hardware.

Bonus Qualifications:

• A passion for helping scale the deployment of learning humanoid robots.
• Excellent physical coordination, spatial awareness, and focus. 
• Master new physical tasks quickly and find the optimal way to perform them. 

There will be a  2–3 week training process at company headquarters. Training takes place Monday through Friday from 7:30 AM–4:00 PM.

The US base hourly rate for this full-time position is $28/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.

This is a contract-to-hire position with the goal of transitioning to full-time employment.

As a Humanoid Robot Operator, you'll have the unique opportunity to work directly with our humanoid robots to test and validate new behaviors and skills.

You will be at the forefront of our operations, deploying the robots for real commercial use cases, identifying issues, and properly filing JIRA tickets to relay failures to the appropriate teams.

SHIFTS — 6:30AM - 3:00PM

Responsibilities:

• Be responsible for the humanoid robot operating successfully for the Customer use case 
• Run the robot constantly throughout the day/midevening, identifying bugs and problems
• Track, document, and escalate issues to the appropriate engineering teams using Jira.
• Ensure work areas meet organizational cleanliness and organization standards.
• Adhere to all safety procedures related to robot operation and teleoperation equipment.
• Follow proper equipment and robot maintenance procedures, including bring-up and shutdown.

Requirements:

• Willingness to own the operations of the humanoid and drive proper functioning of the robot 
• Excellent communication skills. 
• Demonstrate sustained focus and attention while performing assigned tasks.
• Experience working with robots or troubleshooting mechanical systems.
• Can stand 8+ hours a day and physically manage humanoid hardware
• Embrace constructive feedback and strive for constant improvement.
• Thrive in a fast paced environment.
• 5 day workweek with a mandatory weekend shift and  2 days off

Physical Requirements:

• Lifting & Handling: Must be able to safely lift, carry, and maneuver equipment or humanoid hardware weighing up to 50 lbs independently.
• Sustained Mobility: Ability to stand and move throughout the work area for the entirety of an 8+ hour shift (excluding meal/rest breaks).
• Manual Effort: Capacity for frequent bending, reaching, stooping, and fine motor manipulation of robot hardware.

Bonus Qualifications:

• A passion for helping scale the deployment of learning humanoid robots.
• Excellent physical coordination, spatial awareness, and focus. 
• Master new physical tasks quickly and find the optimal way to perform them. 

There will be a  2–3 week training process at company headquarters. Training takes place Monday through Friday from 7:30 AM–4:00 PM.

The US base hourly rate for this full-time position is $28/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. 

The Mechanical Global Supply Manager owns the global sourcing strategy for mechanically complex parts that go into humanoid robots. This role is accountable for supplier selection, cost, capacity, quality, and risk across the mechanical supply base, from prototype builds to volume production.

You will work directly with Mechanical Engineering, Manufacturing, Quality, and Program teams to ensure parts are manufacturable, scalable, and delivered on time. The goal is simple: build robots faster, cheaper, and more reliably than anyone else.

Responsibilities

Global Sourcing & Supplier Strategy

• Develop and execute sourcing strategies for mechanical components including CNC-machined parts, die castings, sheet metal, injection-molded plastics, bearings, fasteners, and electromechanical assemblies.
• Identify, qualify, and onboard suppliers capable of supporting rapid iteration and production ramps.
• Lead RFQs, cost modeling, and supplier negotiations across global regions.
• Drive supplier footprint decisions aligned with cost, capacity, and geopolitical risk.

Cost, Tooling & Scalability

• Own should-cost models and drive costs down through design collaboration, process optimization, and commercial negotiations.
• Define tooling strategies, capacity investments, and ramp plans with suppliers.
• Balance prototype speed with production scalability without burning bridges or budgets.

NPI & Engineering Partnership

• Support NPI from early design through production ramp.
• Partner with Mechanical Engineering to influence DFM/DFA and reduce cost and lead time.
• Source and manage prototype, pilot, and production suppliers while meeting aggressive timelines.

Supplier Performance & Risk Management

• Own supplier’s performance across quality, delivery, cost, and responsiveness.
• Lead capacity planning, dual-sourcing, and risk mitigation for long-lead and critical parts.
• Resolve supply disruptions decisively and prevent repeats.

Cross-Functional Leadership

• Act as the supply chain owner for mechanical systems and subassemblies.
• Communicate sourcing strategies, risks, and tradeoffs clearly to technical and executive teams.
• Operate with urgency, data, and accountability in a fast-moving robotics environment.

Qualifications

Required

• Bachelor’s degree in Engineering, Supply Chain, or related field.
• 7+ years of global sourcing or supply chain experience for mechanical hardware.
• Strong understanding of CNC machining, casting, injection molding, and assembly processes.
• Experience supporting NPI and scaling production in hardware-focused companies.
• Proven ability to negotiate cost, capacity, and tooling with global suppliers.

Preferred

• Experience in robotics, EV, automotive, or high-volume electromechanical products.
• Sourcing experience across Asia, North America, and Europe.
• Comfortable working directly with drawings, BOMs, and cost breakdowns.

Compensation

The US base salary range for this full-time position is $140,000 – $220,000 annually.
Compensation may vary based on job-related knowledge, skills, and experience. The total compensation package may also include additional components and benefits, which 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 an Embedded Systems Integration Engineer to build the backend infrastructure that validates the interaction between our hardware, firmware, and software. You will be the connective tissue across disciplines: owning how changes to firmware or software are tested against real hardware. Your work ensures we ship reliable, integrated systems that just work.

This is a hands-on role where you will design and implement automated test frameworks, bring-up flows, and validation pipelines for embedded subsystems. You'll be responsible for catching regressions early, enabling fast iteration, and giving clear system-level pass/fail signals across the stack.

Key Responsibilities

• Architect test infrastructure that exercises end-to-end functionality of embedded systems across hardware, firmware, and software boundaries.
• Develop backend systems (Python, CLI tools, internal APIs) to run tests, log results, and determine pass/fail conditions.
• Bring up and validate  subsystem and system level changes, tracking changes in behavior and performance across releases.
• Automate testing pipelines for regression detection and continuous integration.
• Debug and triage failures across layers—hardware faults, firmware bugs, or software integration issues.
• Collaborate with firmware, software, and hardware teams to define interface contracts and testable behaviors.
• Instrument devices under test using scopes, logic analyzers, and custom harnesses to characterize system response.

Minimum Qualifications

• Bachelor’s in EE, CE, CS, or a related field.
• 3+ years of experience working with embedded systems.
• Strong understanding of how firmware interacts with hardware peripherals (I2C, Ethernet, SPI, CAN, UART, ADCs, GPIO, etc.).
• Proficiency in Python or similar scripting language for test automation.
• Experience bringing up custom embedded boards and working across firmware/software stacks.
• Familiarity with Linux-based development environments.

Preferred Qualifications

• Experience with CI/CD tools (e.g., GitHub Actions, Jenkins, TeamCity).
• Knowledge of test automation frameworks (e.g., PyTest, Robot Framework).
• Exposure to hardware-in-the-loop (HIL) systems.
• Familiarity with board-level validation, power-on sequencing, or sensor verification.
• Prior experience in robotics, automotive, aerospace, or other complex embedded systems.
• Comfort working hands-on at the bench with test equipment.

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

We're seeking a Hardware Technician to manage and maintain our teleoperation hardware systems, including VR/AR headsets, teleoperation equipment, and laptops. This role is critical to ensuring our data collection operations run smoothly and our data collection Pilot team have the hardware support they need.

You'll be the go-to person for hardware setup, configuration, troubleshooting, and maintenance across our teleoperation infrastructure.

Responsibilities:

• Set up, configure, and maintain VR/AR headsets and teleoperation equipment
• Install, image, and configure laptops and workstations for the Pilot team
• Troubleshoot hardware and network connectivity, performance, and calibration issues
• Perform routine maintenance and calibration on teleoperation systems
• Configure and manage network infrastructure, including switches, access points, and routers 
• Diagnose and resolve network issues including packet loss, bandwidth degradation, and intermittent drops that affect teleoperation sessions
• Create and maintain documentation, setup guides, and troubleshooting procedures

Requirements:

• 2+ years of experience in hardware support, IT technician, or similar technical role
• Hands-on experience with VR/AR headset setup and maintenance
• Strong troubleshooting skills for hardware, connectivity, and system configuration issues
• Experience with laptop/PC imaging, configuration, and deployment
• Familiarity with basic electronics, cable management, and equipment calibration
• Basic networking knowledge and setup experience (Wi-Fi configuration, IP addressing, router provisioning, troubleshooting connectivity issues)
• Excellent documentation and communication skills
• Ability to lift equipment up to 30 lbs and work in a lab environment
• Detail-oriented with strong organizational skills

Bonus Qualifications:

• Experience in robotics, manufacturing, or automation environments
• Familiarity with ROS (Robot Operating System) or robotics platforms
• Background in motion capture or VR/AR gaming systems
• Basic scripting skills (Python, Bash)
• Associate degree or certification in electronics, IT, or related field

The US base salary range for this full-time position is between $85,000 - $110,000 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.