Helix AI Engineer, Localization and Mapping
Figure · San Jose, CA
Posted about 3 months ago · $200,000 - $400,000
or apply directly on Figure's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 80 days Figure's roles stay open a median of 81 days
- Reposted
- No
- Salary listed
- Yes 60% of Figure's roles list one
- Ghost-job risk at Figure
- high 112 stale, 2 reposted of 112 open
- Hiring momentum
- 152 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-23
Measured from postings appearing on and disappearing from Figure's own greenhouse board since 2026-08-03. Full hiring picture for Figure.
About this role
The Helix AI Engineer will focus on developing and implementing real-time localization and mapping systems for humanoid robots. Daily tasks include architecting solutions that fuse multi-modal sensor data, maintaining pose-tracking pipelines, and collaborating with cross-functional teams to enhance robotics applications. The role requires a strong technical background in estimation problems and computer vision techniques, along with a passion for advancing humanoid robotics technology.
- benefits
- 1/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Figure as an employer.
What you need
- 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
Nice to have
- 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
What you get
- The US base salary range for this full-time position is between $200,000 - $400,000
- The total compensation package may include additional components/benefits depending on the specific role
Worth weighing
- 5 days/week in-office collaboration required
- Salary range is broad and may depend on individual factors
- Vague mention of additional components/benefits that will be shared later
Summarised from Figure's posting. Read the full original.
Listed by Figure on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.
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