Omniverse Platform Engineer / Technical Lead

We are seeking an execution-focused Technical Lead & Omniverse Platform Engineer to anchor a dedicated 6-person delivery squad building a common, scalable Simulation Foundation Platform.

In this role, you will be serving as the technical anchor for five remote junior-to-mid-level engineers across specialized tracks: Infrastructure, Scenario Orchestration, Sensor & Rendering, QA Automation, and Core Platform Services.

You will own the technical direction of the platform, break down the evolving roadmap into concrete sprint deliverables, eliminate blockers, and directly contribute hands-on code using NVIDIA Omniverse, OpenUSD, and Isaac Sim.

As an AI-first engineering team, you will champion the integration of AI-assisted coding tools, agentic development workflows, and automated generation pipelines across the entire squad to drive sprint velocity.

Required Skills - NVIDIA Omniverse OpenUSD Python C++ Isaac Sim Job Requirements –

Technical Leadership & Delivery: 5+ years of hands-on software development experience with at least 1–2 years serving in a technical lead, team lead, or sprint coordination capacity, guiding developers and translating project roadmaps into actionable sprint deliverables. NVIDIA Omniverse Ecosystem: Proven hands-on production experience architecting and implementing solutions within the NVIDIA Omniverse platform, including OpenUSD (Universal Scene Description), Omniverse Nucleus, custom Kit Extensions, and Isaac Sim. Core Languages: Advanced programming proficiency in Python and solid working proficiency in C++ for building high-performance simulation modules and extensions.

Cross-Discipline Simulation Competency: Demonstrated working knowledge and ability to guide technical integration across core simulation tracks: Distributed GPU infrastructure, containerization, and orchestration (Docker, Kubernetes, DGX, Ray, AWS/Azure). Scenario generation and robotics middleware (ROS2, DDS, SIL/HIL test harnesses). Physics and rendering simulation (Omniverse RTX, PhysX, CUDA, synthetic sensor modeling for Camera/LiDAR/Radar). Automated testing and verification (CI/CD pipelines, regression suites, and determinism/KPI validation). Platform runtimes and SDK development (backend APIs, build/release tooling, distributed systems). AI-Native Engineering: Practical, daily experience utilizing AI-assisted developer workflows (LLM code generation, agentic development tools, and automated testing/debugging tools) to accelerate delivery. Desired Skills & Experience - Alternative Engine Experience:

Prior hands-on experience building simulation or rendering pipelines in Unreal Engine 5 (UE5). Autonomous Systems & Sensor Modeling:

Domain background in robotics, autonomous vehicles (AV), or ADAS, specifically building synthetic data generation pipelines for Camera, LiDAR, or Radar perception systems. Large-Scale GPU Cluster Orchestration: Practical experience configuring and optimizing distributed batch jobs using Ray, Slurm, or NVIDIA DGX systems. Hardware-in-the-Loop Integration: Direct exposure to SIL/HIL testing environments, hardware interface testing, or real-time simulation hardware. Build Systems & Tooling: Familiarity with modern large-scale C++ build and packaging systems such as CMake or Bazel. Generative AI for Simulation: Hands-on experience integrating foundation models/LLMs directly into procedural generation pipelines (e.g., natural language-to-scenario generation or synthetic edge-case injection).