Omniverse Platform Engineer / Technical Lead — 1ST-RECRUIT LLC, An E-Verified Company, Dallas, TX

About the Role

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 based onsite in Dallas, TX, 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.

Responsibilities

• Anchor a dedicated 6-person delivery squad building a common, scalable Simulation Foundation Platform.

• Serve 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.

• Own the technical direction of the platform.

• Break down the evolving roadmap into concrete sprint deliverables.

• Eliminate blockers.

• Directly contribute hands-on code using NVIDIA Omniverse, OpenUSD, and Isaac Sim.

• Champion the integration of AI-assisted coding tools, agentic development workflows, and automated generation pipelines across the entire squad to drive sprint velocity.

Qualifications

• 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.

Required Skills

• NVIDIA Omniverse

• OpenUSD

• Python

• C++

• Isaac Sim

• 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.

Preferred Skills

• 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).