About this opportunity
SaidGig lists this Robotics Engineer, Hardware Integrations opportunity in little canada, Minnesota. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Role Overview
Build the hardware and software infrastructure that helps intelligent robots learn, operate, and scale in real-world environments. You will bring up robotic platforms, integrate advanced sensors, create dependable data and teleoperation systems, and help researchers rapidly prototype and deploy new capabilities.
Key Responsibilities
Bring up, integrate, and maintain humanoids, robotic manipulators, mobile robots, and custom end effectors.
Build and maintain integrations with ROS 2, hardware SDKs, and custom control interfaces.
Design scalable multimodal robotics data-collection pipelines for RGB, depth, IMU, force and torque, and joint telemetry using ROS Bag, HDF5, Parquet, and MP4.
Develop reliable teleoperation systems focused on low-latency control, observability, and operator experience.
Build and optimize real-time video streaming infrastructure using WebRTC, RTSP, FFmpeg, GStreamer, and HLS.
Integrate, synchronize, and calibrate Intel RealSense, Luxonis OAK-D, ZED, FLIR, GigE, and USB camera systems.
Diagnose hardware, networking, and system-level issues across lab and remote deployments, supporting robot bring-up, maintenance, and fleet operations.
Improve developer tooling, automation, and documentation to increase reliability and research velocity.
Partner with researchers and engineers to prototype, test, and iterate on robotic capabilities.
Qualifications
Strong Python and C++ programming skills, plus working knowledge of C#.
Deep experience with ROS 2, Ubuntu/Linux, Docker, Git, and shell scripting.
Experience integrating robotics hardware through vendor SDKs and low-level hardware APIs.
Understanding of TCP/IP, SSH, VPNs, REST/gRPC, and WebSockets.
Hands-on experience with teleoperation systems, real-time video streaming, and multimodal sensor integration and calibration, including RGB, depth, stereo, and IMU sensors.
Experience managing large robotics datasets with cloud storage platforms such as AWS S3 or Cloudflare R2.
Strong debugging skills across hardware, software, networking, and embedded systems.
Comfort working in a fast-paced experimental environment with evolving priorities.
Preferred Qualifications
Experience supporting robot fleets in production or research environments.
Familiarity with distributed robotics infrastructure and remote diagnostics.
Experience building tools for robotics data collection, evaluation, or simulation.
Contributions to open-source robotics software or research projects.
Experience with autonomous systems, computer vision, or embodied AI.
Interest in building real-world intelligent systems alongside researchers.
Work Terms
Full-time, on-site role in San Francisco.
CompensationAnnual compensation range: $200, 000 to $300, 000.
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Who can apply
Review the original listing for work authorization, qualifications and employer requirements.