Jobs / United States / Figure AI INC
Helix AI Engineer, Localization and Mapping
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. Figure’s vision is to deploy autonomous humanoids at a global scale. Our AI team is looking for Localization and Mapping Engineers to empower Figure humanoid robots to perform highly dynamic operations in demanding real-world environments. Responsibilities: • Architect and implement real-time localization, ego-motion tracking, and state estimation systems by fusing multi-modal sensor data (cameras, IMUs, encoders, magnetic sensors). • Build and maintain scalable, offline pose-tracking pipelines to process large-scale training data from diverse sources. • Develop and optimize multi-sensor calibration systems for humanoid robotics and data collection platforms. • Partner with cross-functional teams to build comprehensive, data-driven evaluation and testing frameworks. • Design, engineer, and deploy high-quality, reliable software solutions for real-world robotics applications. Requirements: • Deep technical expertise in solving complex estimation and nonlinear optimization problems. • Strong command of 3D geometry, visual-inertial SLAM, and computer vision techniques, including feature matching/tracking, and Structure from Motion (SfM). • Experience writing performant C++ software. • Hands-on experience with sensor calibration (e.g., multi-camera and IMU intrinsics/extrinsics). • Ability to thrive in a fast-paced, ambiguous environment that requires rapid exploration and iteration. • Passion for advancing humanoid robotics technology. Bonus Qualifications: • Experience implementing visual-inertial SLAM systems on legged robotic platforms. • Background in estimation problems related to human motion capture or AR/VR applications. • Experience applying state-of-the-art Deep Learning approaches to SLAM, 3D reconstruction, or human pose estimation. The US base salary range for this full-time position is $200,000 to $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.