Lead GPU Performance Engineer CUDA / C++ / NVIDIA Isaac Sim (Locals Only)

Irving, TX, US • Posted 10 hours ago • Updated 10 hours ago
Contract W2
Contract Independent
12 Months
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Amazon Web Services
  • Artificial Intelligence
  • C++
  • CPU
  • CUDA
  • Cloud Computing
  • Code Optimization
  • Collaboration
  • Computer Networking
  • Distributed Computing
  • Docker
  • Kubernetes
  • GPU
  • Management
  • Microsoft Azure
  • Performance Tuning
  • Python
  • Regression Testing
  • Robotics
  • SIM
  • Storage

Summary

Job Title: Lead GPU Performance Engineer – CUDA / C++ / NVIDIA Isaac Sim
Location: Irving, TX (Local Texas Candidates Only – 100% Onsite)
Employment Type: C2C Contract
Duration: 6+ Months (Possible Extension)
Visa: No OPT/CPT

Job Description

We are looking for an experienced Lead GPU Performance Engineer with strong expertise in CUDA, C++, Python, Agentic AI, and NVIDIA Isaac Sim to drive performance optimization for advanced robotics and physical AI applications.
The ideal candidate will have hands-on experience optimizing GPU-intensive workloads, improving simulation performance, and building AI-driven automation for code optimization across distributed multi-GPU environments.

Key Responsibilities

Analyze and optimize CPU, GPU, memory, I/O, storage, and networking performance bottlenecks.
Use NVIDIA Nsight tools to profile and improve GPU workloads.
Develop, refactor, and optimize high-performance applications using CUDA, C++, and Python.
Design and implement Agentic AI systems for automated code analysis and runtime performance optimization.
Optimize robotics simulation workloads using NVIDIA Omniverse and Isaac Sim.
Scale simulation workloads across multi-GPU and distributed computing environments.
Manage containerized GPU workloads using Docker, Kubernetes, and Slurm.
Work with cloud GPU infrastructure, including CoreWeave, AWS, and Azure.
Build automated performance benchmarks, regression testing, and observability solutions.
Collaborate with robotics, perception, and AI engineering teams to improve GPU performance.

Required Technical Skills

CUDA Programming
C++ Development
Python Programming
Agentic AI / AI Agents
NVIDIA Isaac Sim

Preferred / Additional Skills

NVIDIA Omniverse
NVIDIA Nsight Systems / Nsight Compute
GPU Performance Profiling and Optimization
Multi-GPU / Distributed Computing
Docker and Kubernetes
Slurm
CoreWeave / AWS / Azure
Robotics Simulation / Physical AI


Candidate Requirements

Must be local to Texas.
Must be available to work 100% onsite in Irving, TX.
Strong hands-on GPU performance optimization experience.
Candidates must complete mandatory identity verification before the interview.

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10481525
  • Position Id: 9132091
  • Posted 10 hours ago
Contact the job poster
AP

Alex Pesci

Seasoned Recruiting Manager with a Passion for Talent Acquisition @ Shiro Technologies

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