Jobs and Careers

Member of Technical Staff, Microsoft Robotics (Software Systems)

United Statesfull_timeVerifiedPosted 29 May 2026

💰 $304,200/yr($142,800/yr – $304,200/yr)

About the role

Overview

Microsoft's Discovery and Quantum (MDQ) division develops and delivers advanced artificial intelligence (AI), cloud-enabled capabilities, and strategic technologies to help solve the world's major challenges. From accelerating scientific discovery with advanced AI tools, to pioneering breakthroughs in quantum computing, to advancing robotics and AI capabilities that drive real-world impact, joining MDQ means building the future, partnering with fast-moving innovators, and operating in a high-impact, mission-driven environment.

At Microsoft Robotics within MDQ, we build and deploy technologies that enable people, robots, and AI agents to collaborate and achieve more.

We are building Microsoft's platform for physical intelligence—an integrated robotics software and AI platform that brings together humans, robots, and agents through robotics AI models, innovative teaming solutions and experiences, physically grounded agentic AI workflows, trustworthy test and evaluation, and real-world customer-focused validation. Built on Microsoft's core platforms and delivered through and with a global ecosystem of partners and customers, this platform accelerates AI for the physical world and helps robotics solutions move from experimentation to reliable, scaled deployment.

We are hiring a Member of Technical Staff, Microsoft Robotics (Software Systems) at the Principal level to design and build core infrastructure components of the Microsoft Robotics platform, including the Software Development Kits (SDKs), cloud services, edge runtimes, developer tooling, and agent orchestration layers that enable people, AI agents, and robots to operate together across end-to-end mission workflows. This is an engineering role where you will make foundational architectural decisions that shape how the entire platform scales, how partners integrate, and how autonomy capabilities are composed and deployed.

Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

#MicrosoftRobotics #MDQ

Responsibilities

Architect and implement core platform components, including robotics SDKs, cloud-hosted Application Programming Interfaces (APIs), edge runtimes, and agent orchestration frameworks that enable developers and partners to compose interoperable autonomy capabilities (perception, planning, control, multi-agent coordination) into deployable mission workflows.
Design the platform's extensibility and integration architecture, defining how first-party autonomy capabilities, first- and third-party models, partner hardware systems, and customer-specific logic are composed, versioned, tested, and deployed across cloud and edge environments.
Build production-grade data infrastructure spanning the full robotics lifecycle including instrumentation libraries, data acquisition services, human-in-the-loop workflows, dataset versioning and curation pipelines, and data quality governance supporting both real-world and synthetic/simulated data at scale.
Own cross-cutting platform concerns including authentication and authorization across cloud-edge boundaries, API versioning and backward compatibility, multi-tenant isolation, and performance at the latencies required by real-time robotic control loops.
Drive the developer experience for the Microsoft Robotics platform, to include defining the Command Line Interface (CLI), SDK patterns, documentation strategy, sample code, and inner-loop development workflow that make it fast and reliable for internal teams and external partners to build on the platform.
Collaborate with autonomy, simulation, and evaluation teams to ensure that platform primitives (compute orchestration, data routing, model serving, experiment tracking) meet the performance, reliability, and reproducibility requirements of Machine Learning (ML) training, sim-to-real transfer, and online evaluation workloads.
Lead technical design reviews, write architecture decision records, and establish engineering practices for the platform team, mentoring senior engineers and raising the bar for code quality, testing, and operational readiness across the organization.

Qualifications

Required Qualifications:

Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python