Jobs / United States / Figure AI INC
Helix AI Engineer, Perception
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.
- What Figure AI INC paid sponsored hires in similar roles3 certified filings for “AI TRAINING INFRASTRUCTURE ENGINEER” (Software Developers) in CA: $200k–$227k, median $225k. Most were filed at wage level II (67%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- 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).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Figure AI INC
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. Responsibilities: • Develop perception systems including onboard computer vision, localization, visuomotor policies, and offline data annotation. • Own the end-to-end product life cycle from initial ideation to deployment. • Deliver high-quality, reliable software solutions for real-world application. • Collaborate cross-functionally to evolve and optimize our autonomy stack. Requirements: • Extensive experience in production-level software and ML engineering best practices. • Strong mathematical foundation in probability, optimization, and linear algebra. • Domain expertise in at least one of the following areas: 3D Vision, VIO / SLAM, Vision-Language Model (VLM), Diffusion Models. • Proficiency with geometric computer vision concepts, including perspective transformation, the pinhole camera model, and epipolar geometry. • Ability to thrive in a fast-paced environment that demands exploration and creative problem-solving. • Passion for advancing humanoid robotics. Bonus Qualifications: • Experience with CUDA programming and real-time systems performance optimization. • Familiarity with scalable data engineering toolchains like Spark and Ray. • Strong publication record in a relevant field. • Proven success in developing and deploying production-grade systems. The US base salary range for this full-time position is $200,000 - $400,000 per year. 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.