Microsoft
Member of Technical Staff, Microsoft Robotics (Platform)
$85K–$219K
Redmond, WA · On-site · Staff · Full-time · Posted Oct 20, 2026
- Experience
- No minimum years required. Preferred alternative: Bachelor's Degree in Computer Science or related technical field and 2+ years technical engineering experience, or a Master's Degree, or equivalent experience.
- Education
- Bachelor's Degree in Computer Science or related technical discipline, or equivalent experience.
About the job
Build and test software features for Microsoft’s robotics platform, including SDKs, cloud and edge services, data infrastructure, and agent orchestration tools that connect people, robots, and AI agents.
What you'll do
- Implement and test platform features across robotics SDKs, APIs, edge runtimes, and agent orchestration frameworks.
- Develop data infrastructure and integration features, and apply security, compatibility, and performance practices to assigned work.
- Improve developer tools and workflows; collaborate on design, code reviews, testing, and AI-assisted engineering solutions.
What they ask for
- Bachelor's Degree in Computer Science or related technical discipline, with proven coding experience in a listed language, or equivalent experience.
- Ability to meet Microsoft, customer and/or government security screening requirements, including the Microsoft Cloud Background Check.
Nice to have
- Experience contributing to software projects involving developer tools, SDKs, APIs, or distributed systems.
- Familiarity with systems programming, cloud or distributed systems, robotics middleware, agentic AI, ML infrastructure, or simulation tools.
Pay
USD $85,400 - $168,100 per year (base salary); USD $111,100 - $183,700 per year (base salary); USD $102,100 - $202,200 per year (base salary); USD $133,800 - $219,200 per year (base salary)
Tools
C, C++, C#, Java, JavaScript, Python, GitHub Copilot, ROS/ROS2
AI focus
Develop platform capabilities for robotics and physical intelligence, including agent orchestration, robotics AI workflows, ML deployment and evaluation, and AI-assisted engineering.
Model-written summary · the original posting is authoritative