Lead GPU Software Engineer — Simulation & Agentic AI

Cloud Analytics Technologies, LLC; Irving (TX); On-site; USD 150,000 - 210,000; Full time

Job summary

Cloud Analytics Technologies, LLC is seeking an experienced Lead Software Engineer to optimize simulation foundations, GPU workloads, and agentic AI systems. You will lead performance initiatives across NVIDIA Omniverse, Isaac Sim, and distributed multi-GPU environments, refining code paths with CUDA, C++, and Python while enhancing hardware utilization and scaling compute workloads.

You will collaborate with robotics and AI teams, drive automated testing and benchmarking, and guide

Qualifications

• 7+ years of software engineering experience.
• Strong proficiency in CUDA, C++, and Python.
• Deep expertise in GPU performance optimization and NVIDIA architectures.
• Experience with agentic AI and automated code/runtime optimization.

Responsibilities

• Analyze and optimize workloads across CPU, GPU, memory, I/O, storage, and networking using NVIDIA Nsight tools.
• Refactor and optimize simulation codebases with CUDA, C++, and Python.
• Design and implement agentic AI systems for automated analysis and runtime optimization.
• Scale simulation workloads across multi-GPU and distributed environments.
• Manage and optimize containerized GPU workloads with Docker, Kubernetes, and Slurm.
• Work with GPU cloud infrastructure (CoreWeave, AWS, Azure).
• Develop automated regression testing, observability, and performance benchmarking.

Skills

CUDA programming

C++

Python

GPU optimization

NVIDIA GPU architecture

Omniverse / Isaac Sim experience

Multi-GPU & distributed computing

Docker / Kubernetes / Slurm

Linux environment

Education

Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or related

Tools

NVIDIA Nsight tools

Docker

Kubernetes

Slurm

CoreWeave cloud

AWS

Azure

Job description

Cloud Analytics Technologies, LLC is seeking an experienced Lead Software Engineer to optimize simulation foundations, GPU workloads, and agentic AI systems. You will lead performance initiatives across NVIDIA Omniverse, Isaac Sim, and distributed multi-GPU environments, refining code paths with CUDA, C++, and Python while enhancing hardware utilization and scaling compute workloads.

You will collaborate with robotics and AI teams, drive automated testing and benchmarking, and guide