Lead Software Engineer
Irving, TX
Start Date - 11-16-2026
*All candidates selected for an interview are required to complete our mandatory identity verification process.
Job Description
Accelerate the future of robotics and physical AI by solving the highest-impact compute bottlenecks at scale. In this high-visibility technical lead role, you will pioneer automated, agentic code optimization and push NVIDIA Omniverse, Isaac Sim, and distributed multi-GPU clusters to their absolute performance limits.
Required Skills - CUDA; C++; Python; Agentic AI; Isaac Sim
Job Duties - Profile & Optimize Workloads: Diagnose and eliminate performance bottlenecks across CPU, GPU, memory, I/O, storage, and networking layers using NVIDIA Nsight tools Tune CUDA, C++, and Python: Refactor and optimize core simulation code to maximize hardware utilization, throughput, and execution speed. Design and deploy agentic AI systems that automatically analyze and optimize runtime code performance. Accelerate and scale simulation workloads running on NVIDIA Omniverse and Isaac Sim across multi-GPU and distributed systems. Manage and optimize containerized GPU jobs using Docker, Kubernetes, and Slurm across cloud environments (CoreWeave, AWS, Azure). Implement automated regression testing, observability, and performance benchmarking for continuous tracking. Partner with robotics, perception, and AI teams to drive GPU performance best practices and evaluate future hardware/software infrastructure.
