Robotics Engineer

Role overview Build robotic systems that run AI workloads directly on edge hardware, supporting real-time operation without relying on cloud connectivity. The role spans robotics software, perception, control and hardware integration, with work intended for use in challenging field environments.

Responsibilities - Design robotic systems that integrate edge-computing hardware. - Develop perception pipelines using stereo vision, LiDAR and sensor fusion. - Implement real-time control for autonomous navigation and manipulation. - Work with AI colleagues to adapt models for deployment on constrained devices. - Build and test robust systems for operation outside controlled settings. - Contribute tools and technical documentation for an open-source developer community.

Requirements - At least three years of robotics engineering experience or relevant work in a related field. - Strong ROS or ROS 2 skills and experience with real-time control systems. - Practical knowledge of computer vision, SLAM and sensor fusion. - Proficiency in C++ and Python. - Familiarity with embedded systems and ARM-based platforms.

Nice to have - Experience with NVIDIA Jetson or comparable edge AI hardware. - Background in mechanical design or hardware integration.

Benefits and work setup - Remote-first arrangement, with optional coworking in San Francisco. - Opportunity to contribute to open-source projects and products used by researchers and engineers. - Compensation includes salary and equity.