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Helix AI Engineer, Perception

Skills

aicomputer visioncudadata engineeringmachine learningspark

Description

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA. 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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