Robotics R&D Engineer

Title: Robotics Controls EngineerLocation: Redmond, WASchedule: Core hours, + or - 10-3. Free breakfast and lunch every day on sitePR: $60-95/hrDuration: 12 months + extensions up to 2.5 yearsDay to Day:As a Robotics R&D Engineer, you’ll run and iterate on experiments using real robotic systems, particularly manipulation platforms like robot arms, grippers, and dexterous hands. Day to day, you’ll develop and debug ROS-based software (ROS1/ROS2) while working in Linux to troubleshoot systems and keep robots running. You’ll rapidly prototype by testing, breaking, and refining both hardware and software in real time, while integrating sensors, actuators, and embedded components. You’ll also support lab operations including setup and basic networking, and collaborate with the team through Git and GitHub workflows to ensure experiments are reliable and scalable.Key Responsibilities:Develop and maintain the robot software stack (ROS ecosystem)Execute and troubleshoot robot experiments on hardware and cluster environmentsOwn lab setup and tooling (equipment ordering, setup, maintenance)Support system administration tasks:Linux machinesnetworking (bandwidth, latency, connectivity)compute infrastructureIntegrate and debug robot systems across hardware + software layersContribute to Git-based development workflows and CI/CD pipelinesPresent updates, experiment results, and designs in team settingsMust Haves:Bachelor’s degree in Computer Engineering, Robotics Engineering, Computer Science, or related fieldStrong experience working in Linux environments (command line, terminals, system-level troubleshooting)Hands-on experience with real robotic hardware (not simulation-only)Proficiency with ROS (ROS1 and/or ROS2) and robotics software developmentStrong programming skills in Python and/or C++Experience with Git-based version controlPlusses:Experience working with robotic manipulation systems (robot arms, grippers, dexterous hands)Experience working with capture systemsExperience with deep learning / perception models (training or deployment)Familiarity with CI/CD pipelines and GitHub workflows