Job Description
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 (Robot Security & Safety) at the Senior level, to define and implement security and safety frameworks for Microsoft's robotics platform, ensuring that robots, AI models, and cloud-connected infrastructure operate safely, securely, and in compliance with applicable standards across all deployment contexts. This role bridges cybersecurity, functional safety, and AI safety for physical systems, a uniquely challenging domain where software vulnerabilities can result in physical harm and where autonomous AI behaviors must be bounded by robust safety envelopes. The engineer will develop threat models, safety architectures, monitoring systems, and incident response capabilities tailored to the specific considerations of responsibly deploying AI-enabled robots in the real world.
