Robotics Engineer, Hardware Integrations

Build the hardware and systems that let intelligent robots learn, operate, and scale in the real world. As a Robotics Engineer on the Hardware Integrations team you will bring up new robotic platforms, integrate sensors and control interfaces, build multimodal data pipelines and real-time video infrastructure, and enable researchers to prototype and deploy capabilities quickly in a production-like lab environment. You will work on humanoids, manipulators, mobile robots, custom end effectors, and the lab and remote infrastructure that supports them.

• Bring up, integrate, and maintain robotic platforms including humanoids, manipulators, mobile robots, and custom end effectors.
• Build and maintain robust integrations with ROS 2, vendor hardware SDKs, and custom control interfaces.
• Design and implement scalable data collection pipelines for multimodal robotics datasets, covering RGB, depth, IMU, force/torque, and joint telemetry. Use formats such as ROS Bag, HDF5, Parquet, and MP4.
• Develop reliable teleoperation systems focused on low-latency control, observability, and operator experience.
• Design and optimize real-time video streaming infrastructure using WebRTC, RTSP, FFmpeg, GStreamer, and HLS.
• Integrate, synchronize, and calibrate perception hardware including Intel RealSense, Luxonis OAK-D, ZED, FLIR, GigE, and USB camera systems.
• Diagnose hardware, networking, and system-level issues across lab and remote deployments; support robot bring-up, maintenance, and fleet operations.
• Improve developer tooling, automation, and documentation to increase reliability and research velocity.
• Collaborate closely with researchers and engineers to rapidly prototype, test, and iterate on new robotic capabilities.

Required

• Strong programming skills in Python and C++, working knowledge of C#.
• Deep experience with ROS 2, Ubuntu or other Linux distributions, Docker, Git, and shell scripting.
• Experience integrating robotics hardware through vendor SDKs and low-level hardware APIs.
• Solid networking fundamentals, including TCP/IP, SSH, VPNs, REST or gRPC, and WebSockets.
• Hands-on experience building teleoperation systems and real-time video streaming infrastructure.
• Experience integrating and calibrating multimodal sensors, including RGB, depth, stereo, and IMU sensors.
• Familiarity with large robotics dataset management and cloud storage platforms such as AWS S3 or Cloudflare R2.
• Strong debugging skills across hardware, software, networking, and embedded systems.
• Comfortable working in a fast-paced, experimental environment with rapidly evolving priorities.

Preferred

• Experience supporting fleets of robots in production or research environments.
• Familiarity with distributed robotics infrastructure and remote diagnostics.
• Experience building tooling for robotics data collection, evaluation, or simulation.
• Contributions to open-source robotics software or robotics research projects.
• Experience with autonomous systems, computer vision, or embodied AI.
• A demonstrated passion for building real-world intelligent systems and solving hard engineering problems with researchers.

• Employment type: Full-time.
• Work location: On-site in San Francisco, California.

• Salary range: 200000 to 300000 USD per year.

• Candidates must be able to work on-site in San Francisco. No other work-authorization details were provided in the source listing.