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Member of Technical Staff, Microsoft Robotics (Robotics Simulation)

United States, Redmond 119800.00 - 234700.00 USD / Year · Job Posted June 01, 2026
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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 (Robotics Simulation) at the Senior level, to lead the design, integration, and analysis of physics-based simulation frameworks that underpin robotics development, testing, and AI model training across Microsoft’s robotics platform. This engineer will architect and optimize high-fidelity simulation environments that accurately model robot kinematics, dynamics, sensors, actuators, and contact physics, enabling reinforcement learning training, closed-loop policy evaluation, synthetic data generation, and sim-to-real transfer. The role bridges advanced physics simulation, robotics autonomy stacks, and large-scale ML infrastructure to accelerate the development and deployment of physically grounded AI. 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.

Job Responsibility

  • Design, develop, and maintain physics-based simulation frameworks for robotics applications, including accurate modeling of rigid-body dynamics, articulated mechanisms, contact and friction, deformable objects, and fluid interactions as required by target robot platforms.
  • Implement essential robotics simulation features, including accurate sensor models (cameras, LiDAR, IMUs, force/torque sensors, tactile arrays), actuator models, controller interfaces, and communication protocols that mirror real robot hardware behavior.
  • Build real-to-sim and sim-to-real workflows for dynamic environments and robotics tasks, implementing domain randomization, system identification, and physics parameter tuning to minimize sim-to-real gaps.
  • Create and maintain asset toolchains supporting industry-standard formats (USD, URDF, MJCF, SDF) and integrate with 3D content pipelines for environment and robot model ingestion.
  • Develop simulation infrastructure for robust autonomy test and evaluation, enabling the use of rigorous test methods and design of experiments for validation and verification-based of robotics technologies and algorithms.
  • Develop simulation infrastructure for robot learning policies, including reinforcement learning training at scale, with parallelized environment instances, reward instrumentation, curriculum management, and integration with distributed ML training frameworks.
  • Collaborate closely with robotics engineers, ML researchers, and platform engineers to enable large-scale robotics development, training pipelines, benchmarking suites, and automated evaluation workflows.
  • Lead architectural decisions for simulation platform selection, customization, and extension, evaluating and integrating engines such as MuJoCo, Isaac Sim, Gazebo, Genesis or proprietary solutions based on fidelity, performance, and scalability requirements.
  • Review product code and test code to ensure it meets team standards for simulation accuracy, performance, and maintainability, coaching and providing feedback to develop other engineers’ skills.
  • Drive efforts to integrate logging and instrumentation for gathering telemetry data on simulation performance, fidelity metrics, and training pipeline health.
  • Remain current in simulation and physics engine developments—as well as emerging technologies such as physical world models—proactively evaluating new trends, technical solutions, and research advances, and assessing how to adapt them to the robotics platform.

Requirements

  • 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.
  • 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.

Nice to have

  • 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.
  • Extensive experience in physics simulation engineering, with demonstrated expertise in rigid-body dynamics, contact modeling, or real-time physics engines (e.g., MuJoCo, Newton, PhysX, Bullet, DART).
  • Experience with robotics simulation platforms such as Isaac Sim, MuJoCo, Gazebo, Drake, or equivalent, including sensor simulation and actuator modeling.
  • Strong background in 3D graphics, real-time rendering, or game engine development (Unity, Unreal, or proprietary engines).
  • Experience building sim-to-real transfer pipelines, domain randomization frameworks, or system identification workflows for robotic manipulation or locomotion.
  • Proficiency in Python and C++ with experience in distributed computing, GPU-accelerated simulation, or parallel environment management for RL training.
  • Familiarity with ML frameworks (PyTorch, JAX, TensorFlow) and their integration with simulation environments for end-to-end training pipelines.
  • Experience with asset pipeline toolchains supporting URDF, MJCF, USD, or OpenUSD formats for robot and environment model management.
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Member of Technical Staff, Microsoft Robotics (Robotics Simulation)

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Expiration Date
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  • Design and build automated pipelines for converting reality capture data (photogrammetry, LiDAR point clouds, depth camera scans, 360-degree imagery) into physics-ready 3D simulation assets with accurate geometry, collision meshes, material properties, and articulation definitions.
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  • Develop synthetic data generation pipelines that leverage high-fidelity 3D assets to produce training data for perception, manipulation, and navigation models, including domain-randomized variations of materials, lighting, object placement, and camera viewpoints.
  • Collaborate with robotics engineers, ML researchers, and perception scientists to define asset fidelity requirements, validate simulation-to-reality visual and physical accuracy, and iterate on asset quality based on downstream model performance.
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  • Remain current in 3D reconstruction, neural rendering, and asset generation research, proactively evaluating new techniques (e.g., generative 3D models, neural radiance fields, 3D Gaussian splatting) for integration into the platform.
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Member Of Technical Staff, Microsoft Robotics (Robotics Data)

Microsoft’s Discovery and Quantum (MDQ) division develops and delivers advanced ...
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Requirements
  • Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience
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  • Define and implement data collection strategies for robot learning, including specifying demonstration coverage requirements, environmental diversity targets, task distribution plans, and quality acceptance criteria for teleoperation, egocentric, and autonomous data collection campaigns
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  • Write efficient, readable, extensible code in Python (including Pandas, NumPy, scikit-learn, matplotlib) for data processing, analysis, and visualization, building professional-grade documentation for knowledge transfer
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  • Present results and findings to senior stakeholders, using compelling visualizations and storytelling to influence data investment priorities and model development strategy
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Member of Technical Staff, Microsoft Robotics

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  • Connect classical robotics engineering with modern AI, partnering across foundation-model, perception, manipulation, locomotion, and simulation teams to bring learned capabilities into a common, production-grade platform rather than one-off integrations.
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  • Influence direction across MDQ, Microsoft Research, Azure, hardware and silicon partners, and customers without relying on formal authority, building technical consensus and aligning many teams on a single coherent platform strategy, including representing the platform in the open-source and standards community.
  • Multiply the team's output through technical leadership, mentoring senior and principal engineers and raising the technical ceiling of the organization rather than only its headcount.
  • Track the state of the art across embodied AI, robot learning, robotics middleware, and simulation, and decide deliberately how and when new techniques are incorporated into the platform.
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Member of Technical Staff, Microsoft Robotics (Software Systems)

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Expiration Date
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Member of Technical Staff, Microsoft Robotics (Robot Learning)

Microsoft's Discovery and Quantum (MDQ) division develops and delivers advanced ...
Location
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United States , Redmond
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Salary:
102100.00 - 202200.00 USD / Year
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Microsoft Corporation
Expiration Date
Until further notice
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Requirements
Requirements
  • Bachelor's Degree in Computer Science or related technical field AND 2+ 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 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.
Job Responsibility
Job Responsibility
  • Develop and train end-to-end robot learning models, including vision-language-action (VLA) family of models, imitation learning policies, and reinforcement learning agents for manipulation, locomotion, and navigation tasks
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  • Implement and maintain evaluation frameworks for robot learning models, including standardized task benchmarks, success rate tracking, generalization testing across objects and environments, and regression detection
  • Collaborate with robotics researchers, simulation engineers, and platform engineers to improve the end-to-end model development lifecycle, from data collection through deployment and monitoring
  • Write production-quality code in Python (including NumPy, PyTorch, JAX) that is well-tested, maintainable, and extensible, adhering to team coding standards and best practices
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  • Stay current with state-of-the-art research in robot learning, foundation models for robotics, and physical AI, evaluating new model technologies and techniques for adoption and integration into the platform
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Member Of Technical Staff, Microsoft Robotics (Perception)

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  • 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
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  • Lead the design, development, and integration of perception and navigation systems for robotic platforms, including SLAM, localization, mapping, sensor fusion, obstacle detection, semantic scene understanding, and motion planning interfaces
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  • Integrate perception outputs with planning, control, simulation, and fleet operations systems to support safe and reliable robot autonomy in real-world environments
  • Architect perception-navigation pipelines that meet practical constraints for latency, bandwidth, compute efficiency, reliability, calibration drift, sensor degradation, and environmental variability
  • Develop evaluation frameworks, benchmarks, and telemetry-driven analysis methods to measure perception, localization, mapping, and navigation performance across simulation, lab, and field deployments
  • Partner with learning engineers, spatial AI engineers, simulation engineers, and platform engineers to connect classical robotics pipelines with modern AI models, including learned perception, physical world models, and data-driven navigation approaches
  • Analyze field logs, sensor data, planner behavior, and failure cases to identify root causes, improve system robustness, and drive cross-stack improvements across perception, planning, controls, and hardware integration
  • Lead technical design reviews, establish engineering patterns, and mentor other engineers on production-quality robotics autonomy development, testing, debugging, and deployment practices
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Member of Technical Staff, Microsoft Robotics (Spatial AI)

Microsoft’s Discovery and Quantum (MDQ) division develops and delivers advanced ...
Location
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United States , Redmond
Salary
Salary:
102100.00 - 202200.00 USD / Year ▼
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience
  • OR equivalent experience
  • 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.
Job Responsibility
Job Responsibility
  • Design, develop, and evaluate physical world models that capture 3D spatial structure, object geometry and pose, physics dynamics, material properties, and semantic scene understanding for robotic applications
  • Build and train world models (e.g., video prediction models, neural physics simulators, 3D generative models, scene graph representations) that predict future states of physical environments conditioned on robot actions, enabling model-based planning and policy learning
  • Develop spatial AI capabilities including 3D scene reconstruction, object detection and pose estimation, spatial relationship reasoning, occupancy prediction, and dense 3D feature representations for robot perception and planning
  • Implement and maintain evaluation frameworks for world models and spatial AI systems, including prediction accuracy metrics, planning performance benchmarks, and generalization testing across environments and object categories
  • Collaborate with robotics researchers, learning engineers, and simulation engineers to integrate world models into robot planning and control pipelines, enabling model-predictive control, imagination-based planning, and data-augmented training
  • Build data pipelines for training world models, including multi-sensor data fusion (RGB, depth, LiDAR, proprioception), scene annotation, and dataset curation for diverse physical environments and interaction scenarios
  • Write efficient, readable, extensible code in Python (including PyTorch, JAX, or TensorFlow) for model development, training, and evaluation, leveraging GPU computing infrastructure for large-scale experiments
  • Contribute to the formulation of the team's world modeling research and development roadmap, identifying high-impact technical directions and collaborating with leadership to prioritize investments
  • Present research findings and model evaluation results clearly and efficiently to internal stakeholders and external partners, contributing to technical publications, blog posts, and conference presentations
  • Stay current with state-of-the-art research in world models, spatial AI, 3D vision, neural physics simulation, and foundation models for physical understanding, actively contributing to the body of thought leadership in these areas
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Member of Technical Staff, Microsoft Robotics (Navigation)

Microsoft’s Discovery and Quantum (MDQ) division develops and delivers advanced ...
Location
Location
United States , Redmond
Salary
Salary:
102100.00 - 202200.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science or related technical field AND 2+ 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 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.
Job Responsibility
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  • 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 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.
What we offer
What we offer
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  • Fulltime
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