Helix AI Engineer, Perception
Figure · On-site
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Job details
- Work model
- On-site
- Salary
- Not listed by source
- Location
- San Jose, CA
What the role asks for
What you'd do
- 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.
What they're asking for
- Extensive experience in production-level software and ML engineering best practices.Skill
- Strong mathematical foundation in probability, optimization, and linear algebra.Skill
- Domain expertise in at least one of the following areas: 3D Vision, VIO / SLAM, Vision-Language Model (VLM), Diffusion Models.Skill
- Proficiency with geometric computer vision concepts, including perspective transformation, the pinhole camera model, and epipolar geometry.Skill
- Ability to thrive in a fast-paced environment that demands exploration and creative problem-solving.Skill
- Passion for advancing humanoid robotics.Skill
- Experience with CUDA programming and real-time systems performance optimization.SkillPreferred
- Familiarity with scalable data engineering toolchains like Spark and Ray.SkillPreferred
- Strong publication record in a relevant field.SkillPreferred
- Proven success in developing and deploying production-grade systems.SkillPreferred
Parsed by MeritLog from the employer’s own posting. The full description follows below.
Job description
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. Figure’s vision is to deploy autonomous humanoids at a global scale. Our Helix team is looking for Perception Engineers to empower Figure humanoid robots to perform highly dynamic operations in demanding real-world environments. 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 between $200,000 - $400,000 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 depending on the specific role. This information will be shared if an employment offer is extended.
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