job summary:
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.
location: Telecommute
job type: Solutions
salary: $70 - 110 per hour
work hours: 8am to 5pm
education: Bachelors
responsibilities:
#LI-CC1
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.
qualifications:
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
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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