Member of Technical Staff - Principal

Teknik, data och digitalt · Mjukvaru- och webbutveckling · Mjukvaruutveckling · Artificiell intelligens · Robotik och automation

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I korthet

Microsoft's Discovery and Quantum division seeks a Principal Member of Technical Staff to lead the development of physics-ready 3D asset generation pipelines and integrate reality capture technologies into the robotics simulation infrastructure. This role is key to bridging the physical and simulated worlds for advanced AI and robotics applications.

Ansvarsområden

Design and build automated pipelines for converting reality capture data into physics-ready 3D simulation assets.
Develop and maintain toolchains for physics-ready 3D asset generation, including mesh optimization, material assignment, and physics parameter estimation.
Integrate reality capture hardware and software workflows with the simulation platform’s asset ingestion pipeline.
Build 3D reconstruction workflows for rapid creation of simulation environments from real-world facility scans.
Create and maintain asset toolchains supporting industry-standard formats (USD/OpenUSD, glTF, FBX, OBJ) with physics and simulation metadata.
Develop synthetic data generation pipelines using high-fidelity 3D assets for training perception, manipulation, and navigation models.
Collaborate with robotics engineers, ML researchers, and perception scientists to define asset fidelity requirements and validate simulation-to-reality accuracy.
Implement quality assurance and validation workflows for 3D assets, including automated checks for mesh integrity and physics parameter consistency.
Review code and technical designs to ensure adherence to team standards for 3D pipeline performance, asset management, and data integrity.
Stay current in 3D reconstruction, neural rendering, and asset generation research, evaluating new techniques for integration.

Krav

Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including C, C++, C#, Java, JavaScript, or Python, OR equivalent experience.
Ability to meet Microsoft, customer and/or government security screening requirements.
Must pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Önskade kvalifikationer

Master’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including C, C++, C#, Java, JavaScript, or Python, OR Bachelor’s Degree in Computer Science or related technical field AND 15+ years technical engineering experience with coding in languages including C, C++, Java, JavaScript, or Python, OR equivalent experience.
Experience with 3D reconstruction pipelines, photogrammetry, LiDAR processing, or neural scene representation methods (NeRF, 3D Gaussian splatting).
Proficiency with 3D content creation and processing tools (Blender, Fusion, Maya, Houdini, MeshLab, Open3D, or equivalent).
Experience with USD/OpenUSD, OBJ, STL, or equivalent 3D interchange formats and their integration with simulation or rendering engines.
Background in physically based rendering (PBR), material authoring, or real-time graphics pipeline development.
Experience building synthetic data generation pipelines for training computer vision or perception models.
Familiarity with robotics simulation platforms (Isaac Sim, Gazebo, MuJoCo, or equivalent) and their asset requirements.
Understanding of physics parameter estimation, collision geometry optimization, and articulated object modeling for simulation fidelity.

Förmåner

The typical base pay range for this role across the U.S. is USD $165,600 - $296,400 per year.
For specific work locations in the San Francisco Bay area and New York City metropolitan area, the base pay range is USD $220,800 - $331,200 per year.
Certain roles may be eligible for benefits and other compensation.

Färdigheter

CC++C#JavaJavaScriptPythonphotogrammetryLiDARNeRF3D Gaussian splattingBlenderUSD/OpenUSDglTFFBXOBJPBRcomputer visionperceptionIsaac SimGazeboMuJoCo

#AI#Robotics#Cloud#Simulation#3D#Reality Capture#Asset Generation#Synthetic Data#Digital Twin

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