> Markdown version of [/jobs/ext/4623359-technical-lead-simulation-engineer](https://www.wearedevelopers.com/jobs/ext/4623359-technical-lead-simulation-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Technical Lead - Simulation Engineer

- **Company:** Randstad
- **Location:** Irving, TX, United States (Remote available)
- **Experience:** Expert
- **Salary:** $145,600 - $228,800
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, C++ (Programming Language), CMake, Code Generation, Code Review, Nvidia CUDA, System Configuration, Software Debugging, Programming Tools, Distributed Systems, Middleware, Hardware Interface Design, Hardware-In-The-Loop Simulation, Python (Programming Language), Real Time Simulation, Software Engineering, Systems Integration, Data Ingestion, Large Language Models, Generative AI, Isaac Sim, Containerization, Kubernetes, Build Tools, Slurm, Hardware Infrastructure, Unreal Engine, NVIDIA Omniverse, Lidar, Docker, Web Api
- **Published:** November 7, 2026
- **Apply:** https://www.dice.com/job-detail/c746fa03-9cc2-43d1-9fde-06efed28346f

## About the Role

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 (DGX, Ray). 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. 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).

skills:

AWS,AI,QA Automation,automated testing,Build Systems,C++,CMake,code generation,containerization,distributed systems,Docker,Generative AI,GPU infrastructure,hardware interface,Hardware-in-the-Loop,Isaac Sim,Kubernetes,LLM,LLMs,LiDAR,Azure,middleware,NVIDIA Omniverse,CUDA,development tools,proficiency in Python,real-time simulation,Slurm,debugging tools,software development,configuring,technical integration,Unreal Engine 5,backend APIs,high-performance,ADAS,Autonomous Systems,autonomous vehicles,Advanced programming,Infrastructure,KPI,packaging,Modeling,Physics,Platform Engineer,Radar,robotics,Scenario generation,Sensor,Simulation,Technical Leadership,technical direction,testing,tooling,workflows

## Description

Lead the daily technical execution of a 6-person simulation team, assigning sprint tasks, conducting code reviews, and resolving technical blockers across distributed workstreams.

Architect and develop core simulation platform components hands-on using NVIDIA Omniverse, OpenUSD, Nucleus, and Isaac Sim with Python and C++.

Integrate cross-functional engineering tracks, connecting cloud GPU infrastructure, scenario orchestration frameworks (ROS2), rendering/sensor models, and automated QA suites into a unified platform.

Build and optimize 3D asset ingestion pipelines, multi-GPU rendering throughput, and real-time physics simulation performance.

Standardize and drive AI-native engineering practices across the team, leveraging AI-assisted coding tools and agentic workflows for rapid development, testing, and automated scenario generation.