Member of Technical Staff, Microsoft Robotics; Navigation

Position: Member of Technical Staff, Microsoft Robotics (Navigation)
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 (Navigation) at the software engineer II level, to design, develop, and deploy navigation and planning systems that enable robots to move safely, efficiently, and reliably through real-world environments. This engineer will work across the autonomy stack, including localization, mapping, path planning, motion planning, behavioral decision-making, and controls integration, translating high-level mission intent into dynamically feasible robot motion.

The role sits at the intersection of classical robotics, modern AI systems, simulation, and field deployment, with responsibility for building navigation capabilities that operate across diverse robot embodiments, sensor configurations, and operating conditions. The engineer will help advance Microsoft's robotics platform by developing robust planning and navigation software that enables robots, AI agents, and human operators to coordinate effectively in physical environments.

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.

#Microsoft Robotics #MDQ

Responsibilities

* Develop algorithms that translate mission objectives, task assignments, spatial constraints, and robot state into safe, dynamically feasible trajectories for mobile robots, manipulators, or multi-robot systems.

* Integrate navigation and planning modules with localization, mapping, perception, control, simulation, and fleet operations systems to support end-to-end autonomy workflows.

* Build and improve real-time planning systems that operate under practical constraints such as limited compute, noisy sensors, dynamic obstacles, intermittent connectivity, and changing environmental conditions.

* Develop costmaps, traversability models, spatial constraints, route-planning logic, and safety-aware decision policies that enable robots to operate in human-populated and operationally complex environments.

* Use simulation, log replay, field testing, and automated regression suites to evaluate navigation performance, identify failure modes, and improve robustness across diverse scenarios.

* Collaborate with perception, spatial AI, simulation, platform, and field test teams to validate navigation behavior across real and simulated environments, ensuring consistent performance from lab development through deployment.

* Analyze robot telemetry, navigation logs, planner traces, and field test results to debug autonomy issues, tune planning parameters, and drive measurable improvements in success rate, safety, latency, and mission efficiency.

* Write…