Microsoft
Member of Technical Staff, Microsoft Robotics
$166K–$331K
Redmond, WA · On-site · Staff · Full-time · Posted Jun 24, 2026
- Experience
- Required: 8+ years technical engineering experience; preferred alternatives: 12+ years with a Master’s Degree, or 15+ years with a Bachelor’s Degree, or equivalent experience.
- Education
- Bachelor’s Degree in Computer Science or related technical field, or equivalent experience.
About the job
Sets the technical direction and architecture for Microsoft’s robotics platform, integrating robotics software, AI models, and cloud and edge systems for reliable real-world deployment.
What you'll do
- Own the platform’s multi-year architecture, core interfaces, and foundational system design decisions.
- Lead validation and quality strategy for autonomy, safety, and task performance across simulation, lab, and field; resolve cross-stack production issues.
- Align and mentor engineering teams and partners, establish technical standards, and guide adoption of robotics and AI capabilities.
What they ask for
- Bachelor’s Degree in Computer Science or related technical field and 8+ years of technical engineering experience coding in listed languages, or equivalent experience.
- Ability to meet Microsoft, customer and/or government security screening requirements, including the Microsoft Cloud Background Check.
- Proficiency in C++ and Python, with a track record of building performant, testable, production-quality robotics or systems software.
Nice to have
- Production ownership of a major platform, framework, runtime, or large-scale distributed system; experience deploying robots at fleet scale.
- Relevant experience in robot learning, robotics middleware, simulation, cloud platform engineering, safety-critical autonomy, or machine learning infrastructure; external technical leadership is a strong plus.
Pay
USD $165,600 - $296,400 per year base salary; USD $220,800 - $331,200 per year base salary
Tools
C, C++, C#, Java, JavaScript, Python, Microsoft Azure, ROS2
AI focus
Integrates robotics AI models and learned capabilities into a production platform; leads evaluation and validation of autonomy and works across foundation-model, perception, manipulation, locomotion, and simulation teams.
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