Helix AI Engineer, Perception

Role details

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.