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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. ... 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. ... 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.
Job Responsibility
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.
Requirements
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 OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
Nice to have
Master'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 Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
6+ years of experience designing and building developer platforms, SDKs, APIs, or distributed infrastructure used by multiple teams or external partners, with demonstrable ownership of cross-team technical decisions and architecture
Deep expertise in cloud-native systems engineering - including microservice architecture, containerized workloads (Kubernetes), service mesh, API gateway patterns, and CI/CD at scale - preferably on Azure
Proficiency in C++, Rust, or Go for systems-level components AND Python for tooling, data pipelines, and ML integration, with high standards for code quality, testing, and performance
Demonstrated ability to make and communicate architectural trade-offs across competing concerns (latency vs. throughput, flexibility vs. safety, developer velocity vs. operational complexity), with a track record of decisions that held up at scale
Experience with robotics middleware (Robot Operating System (ROS)/ROS2), real-time systems, or edge computing platforms, including the unique constraints of deploying software to physically embodied systems with strict latency and safety requirements
Familiarity with ML infrastructure including model serving (Open Neural Network Exchange (ONNX), TensorRT, Triton), training orchestration, experiment tracking, or feature stores, particularly in the context of deploying learned models to edge devices
Experience building simulation infrastructure, digital twin platforms, or CI-based testing pipelines that incorporate physics-based simulation for validation and regression testing
Prior work designing multi-tenant platforms with partner-facing APIs, including developer portal experiences, API versioning strategies, and backward-compatibility guarantees
Understanding of agentic AI architectures, including agent orchestration, tool use, multi-agent coordination, and human-in-the-loop workflows, and how they apply to physical systems
Contributions to open-source robotics, cloud, or developer tooling projects, or published work on platform architecture, robotics systems, or distributed systems.
What we offer
Benefits and other compensation may be eligible
Find additional benefits and pay information at the provided link.