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.