• Plan, coordinate, and execute field test campaigns for robotic systems across diverse real-world environments, including customer sites, partner facilities, and first-party scenarios, ranging from indoor semi-structured settings to unstructured outdoor terrains, that replicate operational conditions.
• Develop and maintain structured field test protocols, acceptance criteria, data collection procedures, and reporting templates that ensure repeatable, measurable evaluation of robot hardware, software, and AI model performance.
• Deploy, configure, and operate robotic platforms in the field, including hardware setup, software provisioning, network configuration, sensor calibration, and integration with site-specific infrastructure.
• Collect, organize, and analyze field test data including sensor logs, telemetry streams, performance metrics, video recordings, and environmental measurements, producing clear and actionable test reports for engineering and program leadership.
• Diagnose and troubleshoot field issues across the full robot stack (mechanical, electrical, software, networking, AI behavior), performing initial root cause analysis and resolving complex issues alongside engineering teams with well-documented reproduction steps.
• Collaborate with hardware engineers, software engineers, AI researchers, and program managers to communicate and integrate field findings, prioritize bug fixes and design improvements, and validate engineering changes through follow-up field testing.
• Identify and provide feedback on process gaps in field deployment and test procedures, sharing best practices broadly across the team and contributing to continuous improvement of field operations readiness.
• Maintain detailed documentation around field deployment procedures, site-specific configurations, inventory management, and service support workflows.
• Participate in test triage and review meetings to share knowledge, actively contribute to faster issue resolution, and identify readiness needs for upcoming field campaigns.
• Assist in the development of end-to-end readiness programs, including mentoring, knowledge sharing, technical document creation, and development of field operations training materials.

Required Qualifications:

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

Preferred Qualifications:

• Doctorate in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field
• OR Master's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 3+ years technical engineering experience
• OR Bachelor's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 5+ years technical engineering experience
• OR equivalent experience
• Hands-on experience deploying, operating, or testing robotic systems, autonomous vehicles, drones, or complex electromechanical systems in field or operational environments.
• Familiarity with common robotic systems implementations, including robotics middleware (ROS/ROS2), Linux-based systems, sensor suites (cameras, LiDAR, IMUs), and robot debugging and data visualization tools.
• Experience with structured test planning, acceptance testing, or verification and validation (V&V) methodologies for hardware-software integrated systems.
• Proficiency in Python or similar scripting languages for test automation, data analysis, and log processing.
• Strong documentation skills with experience producing technical test reports, field deployment guides, and issue tracking documentation.
• Willingness and ability to travel to customer and partner sites and work in varied physical environments including warehouses, labs, and outdoor settings.

Hardware Engineering IC3 - The typical base pay range for this role across the U.S. is USD $102,100.00 - $202,200.00 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $133,800.00 - $219,200.00 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.