Member of Technical Staff, Microsoft Robotics (hardware Systems)

Microsoft Microsoft · Big Tech · Redmond, WA +1 · Hardware Engineering

This role focuses on the hardware systems for Microsoft Robotics, supporting the design, integration, testing, and maintenance of robotic hardware platforms. The engineer will work with commercial and customized robotic platforms, sensors, compute modules, and networking equipment to ensure robots are reliable for software development, AI model evaluation, and field deployment. The role requires mechanical aptitude, electrical systems knowledge, networking depth, and systems integration skills.

What you'd actually do

  1. Support the design, assembly, integration, and maintenance of robotic hardware platforms, including manipulators, mobile bases, sensor arrays, compute enclosures, power systems, and end-effector tooling.
  2. Ingest device specification sheets, electrical schematics, and mechanical drawings into AI systems to support and accelerate configuration, calibration, and troubleshooting of robotic hardware components and subsystems.
  3. Perform hardware-software integration for robotic platforms, including sensor bring-up (cameras, LiDAR, force/torque sensors, tactile arrays), compute module configuration, network provisioning, and firmware updates.
  4. Develop and execute hardware verification and validation test plans, including functional testing, environmental stress testing, endurance testing, and safety compliance verification for robotic subsystems.
  5. Create and maintain design documentation including assembly drawings, wiring diagrams, bills of materials, specifications, and calibration procedures for robotic hardware configurations.

Skills

Required

  • Bachelor's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field
  • 2+ years technical engineering experience

Nice to have

  • Doctorate in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field
  • Hands-on experience assembling, integrating, or maintaining robotic systems, including commercial platforms (e.g., Universal Robots, Franka, Boston Dynamics, mobile robots, legged robots, (semi-)humanoids) or custom research robots.
  • Familiarity with sensor technologies used in robotics (cameras, depth sensors, LiDAR, IMUs, force/torque sensors, encoders) and their integration, calibration, and debugging.
  • Experience with embedded computing platforms (NVIDIA Jetson, Intel NUC, or equivalent), Linux-based systems, and robotics networking (Ethernet, CAN bus, EtherCAT).
  • Proficiency with CAD tools (SolidWorks, Fusion 360, or equivalent) and basic mechanical prototyping skills (3D printing, machining, soldering).

What the JD emphasized

  • hardware meets requirements for AI model training and evaluation