Lead Software Engineer
We are seeking a Lead Software Engineer with strong expertise in CUDA, C++, Python, Agentic AI, and NVIDIA Isaac Sim. The ideal candidate will optimize high-performance GPU workloads, accelerate robotics simulations, and develop agentic AI systems for automated code performance optimization.
*Key Responsibilities*
- Profile and optimize CPU, GPU, memory, I/O, storage, and networking bottlenecks using NVIDIA Nsight tools.
- Optimize CUDA, C++, and Python code to improve GPU utilization, simulation throughput, and execution speed.
- Design and deploy agentic AI systems that analyze and optimize runtime code performance.
- Scale simulation workloads using NVIDIA Omniverse and Isaac Sim across multi-GPU and distributed environments.
- Manage containerized GPU workloads using Docker, Kubernetes, and Slurm across cloud platforms such as CoreWeave, AWS, and Azure.
- Implement automated regression testing, observability, and performance benchmarking.
- Collaborate with robotics, perception, and AI teams to establish GPU performance best practices.
*Required Skills*
- CUDA
- C++
- Python
- Agentic AI
- NVIDIA Isaac Sim
*Additional Technologies*
- NVIDIA Omniverse and NVIDIA Nsight
- Multi-GPU and distributed computing
- Docker, Kubernetes, and Slurm
- CoreWeave, AWS, and Azure
- GPU performance profiling and optimization
Application Question(s):
- Have you developed or implemented Agentic AI systems for automated code analysis or optimization?
Experience:
- CUDA programming and GPU optimization: 5 years (Required)
- NVIDIA Isaac Sim and Omniverse: 2 years (Required)
Work Location: Hybrid remote in Irving, TX 75015