Job description

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 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 and integrating 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 and robotics ecosystem integrations 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. Responsibilities • Develop and adapt 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 production-quality software in Python, C++, or equivalent languages, following engineering best practices for testing, maintainability, observability, and operational readiness. • Stay current with advances in robotics navigation, motion planning, model-predictive control, multi-agent planning, foundation models for robotics, and embodied AI, evaluating new techniques for adoption into Microsoft’s robotics platform. • • Embody our Culture and Values Qualifications Required/minimum qualifications • Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python • OR equivalent experience. Other Requirements • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter. Additional or preferred qualifications • Master'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 • OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python • OR equivalent experience. • Experience developing navigation, motion planning, path planning, behavior planning, or control algorithms for autonomous mobile robots, manipulators, drones, autonomous vehicles, or other embodied robotic systems. • Familiarity with robotics middleware and autonomy frameworks such as ROS/ROS2, Nav2, MoveIt, Drake, Autoware, or equivalent robotics software stacks. • Experience with planning approaches such as A*, D*, RRT/RRT*, lattice planning, trajectory optimization, model-predictive control, or learning-informed planning. • Experience integrating navigation systems with localization, mapping, perception, simulation, and robot control interfaces in real or simulated robotic platforms. • Familiarity with learning-based navigation, imitation learning for navigation policies, or foundation models applied to planning and decision-making. • Proficiency in C++ and Python with experience writing performant, maintainable software for real-time or near-real-time robotics systems. • Experience debugging autonomy behavior using robot logs, telemetry, visualization tools, simulation replay, and field test data. • Familiarity with navigation challenges in dynamic, human-populated, degraded, unstructured, or partially observable environments. • Experience with simulation-based validation, scenario generation, autonomy benchmarking, or regression testing for robotics navigation systems. • Understanding of safety-aware autonomy design, including collision avoidance, operational design domains, failure recovery, fallback behaviors, and human-in-the-loop intervention workflows. #MDQCareers #Microsoft #Roboticscareers Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: careers.microsoft.com This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Requirements

Must-haves

At Microsoft Robotics within MDQ, we build and deploy technologies that enable people, robots, and AI agents to collaborate and achieve more.
Develop and adapt 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.
Write production-quality software in Python, C++, or equivalent languages, following engineering best practices for testing, maintainability, observability, and operational readiness.
Embody our Culture and Values
Required/minimum qualifications
Other Requirements
OR equivalent experience.
Experience developing navigation, motion planning, path planning, behavior planning, or control algorithms for autonomous mobile robots, manipulators, drones, autonomous vehicles, or other embodied robotic systems.
Familiarity with robotics middleware and autonomy frameworks such as ROS/ROS2, Nav2, MoveIt, Drake, Autoware, or equivalent robotics software stacks.
Experience with planning approaches such as A*, D*, RRT/RRT*, lattice planning, trajectory optimization, model-predictive control, or learning-informed planning.
Experience integrating navigation systems with localization, mapping, perception, simulation, and robot control interfaces in real or simulated robotic platforms.
Familiarity with learning-based navigation, imitation learning for navigation policies, or foundation models applied to planning and decision-making.
Proficiency in C++ and Python with experience writing performant, maintainable software for real-time or near-real-time robotics systems.
Experience debugging autonomy behavior using robot logs, telemetry, visualization tools, simulation replay, and field test data.
Familiarity with navigation challenges in dynamic, human-populated, degraded, unstructured, or partially observable environments.
Experience with simulation-based validation, scenario generation, autonomy benchmarking, or regression testing for robotics navigation systems.
Understanding of safety-aware autonomy design, including collision avoidance, operational design domains, failure recovery, fallback behaviors, and human-in-the-loop intervention workflows.
#MDQCareers #Microsoft #Roboticscareers
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Nice-to-haves

Additional or preferred qualifications

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipythonjavajavascript

Platform: eightfold
Effort: medium

Benefits

Benefits detected in the listing.

Vision