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Helix AI Engineer, Perception

FigureSan Jose, California, United States · Posted Nov 15, 2022
Full-timeEst. 300,000 USD
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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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