Job Title: Lead Software Engineer
Location: Irving, TX (On-site)
Employment Type: W2 Contract
About the Opportunity:
ZipStaff is hiring a Lead Software Engineer for a global heavy equipment manufacturer to accelerate the future of robotics and physical AI by solving its highest-impact compute bottlenecks at scale. In this high-visibility technical lead role, you will pioneer automated, agentic code optimization and push NVIDIA Omniverse, Isaac Sim and distributed multi-GPU clusters to their performance limits. This is an on-site, 6-month contract role in Irving, TX (Mon–Fri, 8:00 AM–5:00 PM CT).
All candidates selected for an interview are required to complete a mandatory identity verification process.
What You'll Do:
- Profile and optimize workloads, diagnosing and eliminating bottlenecks across CPU, GPU, memory, I/O, storage and networking layers using NVIDIA Nsight tools.
- Refactor and tune core simulation code in CUDA, C++ and Python to maximize hardware utilization, throughput and execution speed.
- Design and deploy agentic AI systems that automatically analyze and optimize runtime code performance.
- Accelerate and scale simulation workloads on NVIDIA Omniverse and Isaac Sim across multi-GPU and distributed systems.
- Manage and optimize containerized GPU jobs using Docker, Kubernetes and Slurm across cloud environments (CoreWeave, AWS, Azure).
- Implement automated regression testing, observability and performance benchmarking for continuous performance tracking.
- Partner with robotics, perception and AI teams to drive GPU performance best practices and evaluate future hardware and software infrastructure.
Required Qualifications:
- Bachelor's or Master's degree in Computer Science, Computer Engineering or a related technical field.
- 7+ years of professional software engineering experience, including technical lead experience.
- Expert-level CUDA and modern C++ development, plus strong Python.
- Practical experience with NVIDIA Nsight tools (Nsight Systems, Nsight Compute, Nsight Graphics) to diagnose bottlenecks across CPU, GPU, memory, I/O and networking.
- Hands-on experience accelerating and scaling simulation workloads on NVIDIA Omniverse and Isaac Sim (or equivalent simulation engines) across multi-GPU and distributed systems.
- Deep knowledge of NVIDIA GPU architecture and memory hierarchy.
- Experience building agentic AI systems or LLM-driven developer tooling.
- Proven Linux experience, and experience running containerized GPU workloads with Docker, Kubernetes and Slurm on cloud platforms such as CoreWeave, AWS or Azure.
- Solid understanding of parallel computing, memory hierarchies and multi-GPU/distributed scaling (e.g., NCCL, MPI).
- Experience with CI/CD, automated regression testing and performance benchmarking.
- Ability to work on-site in Irving, TX.
Preferred Qualifications:
- Master's degree or PhD in Computer Science, Computer Engineering or a related field.
- Background in robotics, perception or physical AI simulation.
- Familiarity with USD (Universal Scene Description) and Omniverse Kit extensions.
- Experience with observability tooling such as Prometheus, Grafana or similar.
- Experience with deep learning frameworks such as PyTorch and GPU inference optimization (e.g., TensorRT).
Benefits:
- Health Insurance.
- Dental Insurance.
- Vision Insurance.
- 401(k) + 401(k) matching.
- Paid time off.
- Referral Program.
About ZipStaff:
ZipStaff connects skilled technology professionals with leading organizations across the United States, matching top talent with impactful contract and full-time opportunities.
To apply, submit your resume through this posting. Qualified candidates will be contacted by a ZipStaff recruiter.