Lead GPU Simulation Engineer (Agentic AI & Multi-GPU)

Ethereum Technologies; Irving (TX); On-site; USD 180,000 - 240,000; Full time

Job summary

Ethereum Technologies seeks an experienced Lead Software Engineer to drive simulation foundation platforms, GPU computing, and agentic AI initiatives in an enterprise-grade environment. You will optimize CUDA/C++ workloads, scale multi-GPU simulations, and lead performance benchmarking across Omniverse, Isaac Sim, and cloud GPU infrastructure.

The role requires strong C++/Python skills, deep CUDA expertise, and hands-on experience with NVIDIA tooling.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or related technical discipline.
• Minimum 7+ years of relevant software engineering experience.
• Strong programming proficiency in C++ and Python.
• Deep expertise in CUDA programming, GPU performance optimization, and NVIDIA GPU architecture.
• Strong experience with Agentic AI and autonomous agents for automated code and runtime optimization.
• Hands-on experience with NVIDIA Omniverse, Isaac Sim, or equivalent simulation engines.

Responsibilities

• Analyze and optimize workloads across CPU, GPU, memory, I/O, storage, and networking using NVIDIA Nsight tools.
• Refactor and optimize simulation codebases using CUDA, C++, and Python to improve hardware utilization and execution performance.
• Design and implement agentic AI systems for automated code analysis and runtime performance optimization.
• Optimize and scale simulation workloads using NVIDIA Omniverse and Isaac Sim across multi-GPU and distributed computing environments.
• Manage and optimize containerized GPU workloads using Docker, Kubernetes, and Slurm.
• Work with GPU cloud infrastructure, including CoreWeave, AWS, and Azure.
• Develop automated regression testing, observability, and performance benchmarking solutions.
• Collaborate with robotics, perception, and AI engineering teams to improve simulation performance and scalability.

Skills

C++

Python

CUDA programming

GPU optimization

Multi-GPU systems

Linux

Education

Bachelor's degree (CS/CE/EE)

Tools

Nsight Systems

Nsight Compute

Nsight Graphics

Docker

Kubernetes

Slurm

NVIDIA Omniverse

NVIDIA Isaac Sim

CoreWeave

AWS

Azure

Job description

Ethereum Technologies seeks an experienced Lead Software Engineer to drive simulation foundation platforms, GPU computing, and agentic AI initiatives in an enterprise-grade environment. You will optimize CUDA/C++ workloads, scale multi-GPU simulations, and lead performance benchmarking across Omniverse, Isaac Sim, and cloud GPU infrastructure.

The role requires strong C++/Python skills, deep CUDA expertise, and hands-on experience with NVIDIA tooling.