Jobs / United States / Figure AI INC

Hardware Reliability Intern [Winter 2027]

Figure AI INC · 🇺🇸 San Jose, CA

Sponsorship verdict

Sponsorship possible

One solid signal, not two — worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 22 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 1 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
  • Confirmed live todayWhen a source last listed this job as open.

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

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Sponsor Radar — Figure AI INC

22 H-1B filings certified since Oct 2025

The US Department of Labor certified 22 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 1 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).

Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Figure AI INC →

About the role

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 Hardware REL team is looking for a motivated Hardware Test Engineering Intern for an extended internship of 8–12 months. You will help design, build, and validate electromechanical test stations to evaluate the functionality, performance, and reliability of humanoid robot hardware. This hands-on role combines mechanical fixtures, electrical hardware, sensors, actuators, and motion control. You will collaborate with mechanical, electrical, and software engineers to solve practical integration challenges in a fast-paced engineering environment. Responsibilities: • Design and build test fixtures and scalable test stations for functional, performance, and reliability testing of robotic components and subassemblies. • Integrate mechanical fixtures, electrical wiring, data acquisition systems, power supplies, sensors, actuators, and controllers into complete test setups. • Support the development of test procedures and pass/fail criteria based on hardware design requirements and expected operating conditions. • Develop test sequences and modify test configurations to control test equipment, automate test operation, and collect and analyze measurement data. • Perform test station bring-up and qualification, including checking measurement accuracy, repeatability, data capture, and safety interlocks. • Execute tests, monitor hardware behavior, and document results, anomalies, and failures. • Troubleshoot test setups and support root cause investigations across mechanical, electrical, and software interfaces. • Create and maintain fixture drawings, electrical schematics, wiring diagrams, bills of materials, and test documentation. • Collaborate with cross-functional teams to improve test coverage, station reliability, and testing efficiency. Requirements: • Pursuing a degree in Mechanical Engineering, Electrical Engineering, Robotics, Mechatronics, or a related engineering field, with at least two years completed by the start of the internship. • Availability for an 8–12-month internship with in-office collaboration five days per week. • A portfolio, website, or project examples demonstrating relevant hands-on work and your individual contributions. • Hands-on experience designing, assembling, and testing mechanical or electromechanical systems through coursework, personal projects, internships, or engineering teams. • Familiarity with basic electrical circuits, wiring, sensors, and laboratory equipment such as multimeters, oscilloscopes, or bench power supplies. • Basic programming experience in Python or a similar language for equipment control, test automation, or data analysis, and familiarity with Git. • Ability to interpret test data, troubleshoot problems systematically, and document findings clearly. • Strong attention to detail and the ability to collaborate effectively across engineering disciplines. • Interest in robotics, hardware testing, and reliability engineering. Bonus Qualifications: • Experience with mechanical CAD tools, particularly CATIA V6, or electrical schematic design tools. • Experience with fixture design, 3D printing, machining, soldering, or other prototyping and fabrication methods. • Experience integrating motors, motor controllers, load cells, encoders, thermocouples, or other test instrumentation. • Familiarity with data acquisition systems and communication interfaces such as CAN, serial, USB, or Ethernet. • Experience with Python-based test automation, data visualization,

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Source: Greenhouse (employer board) First seen: 2026-10-15 Last confirmed: 2026-10-15 How our data works → Report this job

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