Helix AI Engineer, Perception

<p>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.</p> <p>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.</p> <p><strong>Responsibilities:</strong></p> <ul> <li>Develop perception systems including onboard computer vision, localization, visuomotor policies, and offline data annotation.</li> <li>Own the end-to-end product life cycle from initial ideation to deployment.</li> <li>Deliver high-quality, reliable software solutions for real-world application.</li> <li>Collaborate cross-functionally to evolve and optimize our autonomy stack.</li> </ul> <p><strong>Requirements:</strong></p> <ul> <li>Extensive experience in production-level software and ML engineering best practices.</li> <li>Strong mathematical foundation in probability, optimization, and linear algebra.</li> <li>Domain expertise in at least one of the following areas: 3D Vision, VIO / SLAM, Vision-Language Model (VLM), Diffusion Models.</li> <li>Proficiency with geometric computer vision concepts, including perspective transformation, the pinhole camera model, and epipolar geometry.</li> <li>Ability to thrive in a fast-paced environment that demands exploration and creative problem-solving.</li> <li>Passion for advancing humanoid robotics.</li> </ul> <p><strong>Bonus Qualifications:</strong></p> <ul> <li>Experience with CUDA programming and real-time systems performance optimization.</li> <li>Familiarity with scalable data engineering toolchains like Spark and Ray.</li> <li>Strong publication record in a relevant field.</li> <li>Proven success in developing and deploying production-grade systems.</li> </ul> <p>The US <strong>base</strong> salary range for this full-time position is between $200,000 - $350,000</p> <p>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.</p>