Member of Technical Staff (Field Robotics)

Location: Redmond, Washington, United States; 4 days per week in-office. Travel to customer and partner sites is required, including warehouses, labs, and outdoor environments.

Salary: USD $119,800–$234,700 base pay per year across the U.S.; USD $160,200–$261,000 in the San Francisco Bay Area and New York City metropolitan area.

Company

Microsoft Robotics, within Microsoft’s Discovery and Quantum division, develops AI, cloud-enabled capabilities, and robotics platforms that connect people, robots, and AI agents.

What you will do

• Plan, coordinate, and execute field test campaigns for robotic systems in customer, partner, indoor, and outdoor environments.
• Develop repeatable test protocols, acceptance criteria, data collection procedures, and reporting templates.
• Deploy and configure robotic platforms, including hardware setup, software provisioning, networking, sensor calibration, and site integration.
• Collect and analyze sensor logs, telemetry, performance metrics, video, and environmental data, producing actionable reports.
• Diagnose issues across mechanical, electrical, software, networking, and AI behavior layers, and collaborate with engineering teams on fixes and validation.
• Improve field deployment procedures, documentation, readiness programs, training materials, and service-support workflows.

Requirements

• Master’s degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or a related field plus 3+ years of technical engineering experience; or bachelor’s degree plus 5+ years; or equivalent experience.
• Ability to meet Microsoft, customer, and/or government security screening requirements, including the Microsoft Cloud Background Check.
• Hands-on experience deploying, operating, or testing robotic systems, autonomous vehicles, drones, or complex electromechanical systems in field or operational environments.
• Experience with robotics middleware such as ROS/ROS2, Linux-based systems, cameras, LiDAR, IMUs, robot debugging, and data visualization tools.
• Experience with structured test planning, acceptance testing, or verification and validation for integrated hardware-software systems.
• Proficiency in Python or similar scripting languages, strong technical documentation skills, and willingness to travel to varied physical environments.

Nice to have

• Doctorate plus 3+ years, master’s degree plus 6+ years, or bachelor’s degree plus 8+ years of technical engineering experience.

Culture & Benefits

• Work on a mission-driven platform for physical intelligence and real-world robotics deployment.
• Collaborate with hardware engineers, software engineers, AI researchers, program managers, customers, and partners.
• Benefits and additional compensation may be available.