NVIDIA
Infrastructure Solutions Architect - OEM
$152K–$288K
US, TX, Austin +2 · Full-time · Posted Sep 17, 2026
- Location
- US, TX, Austin
US, TX, Remote
US, VA, Remote - Experience
- 5+ years of multi-GPU platform engineering experience, including at least 3 years in customer-facing support, field engineering, or a blocking-issue role.
- Education
- BS or MS in Computer Engineering, Electrical Engineering, Computer Science, or equivalent experience.
- Visa sponsorship
- Selected candidate must be a U.S. citizen and possess and maintain an active U.S. Government TS/SCI clearance; certain assignments may require a current U.S. Government-administered Counterintelligence Scope or Full Scope Polygraph.
About the job
Serves as the senior technical contact for OEM Federal deployments of NVIDIA GPU-accelerated platforms, resolving customer issues and coordinating diagnostics, hardware returns, and engineering escalation.
What you'll do
- Own customer issues from diagnosis through resolution, escalating with logs and reproduction details to NVIDIA engineering.
- Establish diagnostics, RMA eligibility, and replacement procedures that meet Federal security, sanitization, and chain-of-custody requirements.
- Partner with OEM Federal teams to reduce blocking issues and dispatches, document failure signatures, and apply AI tools where permitted.
What they ask for
- U.S. citizenship and an active U.S. Government TS/SCI clearance; some assignments may require a current Counterintelligence Scope or Full Scope Polygraph.
- BS or MS in Computer Engineering, Electrical Engineering, Computer Science, or equivalent experience.
- 5+ years of multi-GPU platform engineering experience, including at least 3 years in customer-facing support, field engineering, or a blocking-issue role.
- Strong system software expertise across firmware, BIOS, kernel, drivers, and operating systems; expertise in data center infrastructure, including x86/ARM systems, high-performance storage, and InfiniBand/RDMA networking.
Nice to have
- Experience with Dell PowerEdge GPU servers and Dell management software such as OpenManage and APEX; Federal mission experience.
- Python, C/C++, Docker, Kubernetes, Slurm, NCCL, MPI, or distributed GPU workload performance analysis.
Pay
152,000 USD - 241,500 USD base salary (Level 3); 184,000 USD - 287,500 USD base salary (Level 4)
Tools
PCIe GPUs, HGX, MGX, Linux, InfiniBand/RDMA, Python, C/C++, Docker
AI focus
Troubleshoot and optimize Linux environments for AI/ML workloads; apply AI tools to support work where the environment allows.
Model-written summary · the original posting is authoritative