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