Job 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. 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 $200,000 - $400,000 per year. 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.

Requirements

Must-haves

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.
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.
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.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiml

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Vision