Jobs · Sales · Texas

Infrastructure Solutions Architect - OEM

NVIDIA · Austin, TX · 1 mo ago
SalesFull-time

About the role

NVIDIA is a leader in computer graphics, PC gaming, and accelerated computing, now driving the next era of AI‑powered computing. As an Infrastructure Solutions Architect you will help revolutionize computing by supporting federal deployments of NVIDIA GPU‑accelerated platforms, including PCIe GPUs, HGX, and MGX systems, within secure environments such as FedRAMP, IL5/IL6, and air‑gapped (SCIF) facilities.

Responsibilities

  • Serve as the senior technical point of contact for OEM Federal deployments of NVIDIA GPU‑accelerated platforms, addressing any blocking issues.
  • Own issues end‑to‑end: prioritize platform, firmware, and workload problems; drive issues through OEM support tiers into NVIDIA engineering with necessary logs and reproduction details; follow through with the customer until resolution.
  • Establish and complete diagnostic, RMA eligibility, and replacement procedures for Federal deployments, including handling hardware and logs that must remain on‑site.
  • Navigate Federal security frameworks (FedRAMP, IL5/IL6, SCIF) and assist customers with sanitization and chain‑of‑custody requirements for hardware returns.
  • Partner with OEM Federal support and services teams to reduce blocking issues and unnecessary dispatches.
  • Detail failure signatures to build the Federal knowledge base and apply AI tools where the environment allows.

Requirements

  • U.S. citizenship and an active U.S. Government TS/SCI clearance; certain assignments may require a Counterintelligence Scope or Full Scope Polygraph.
  • BS or MS in Computer Engineering, Electrical Engineering, Computer Science, or equivalent experience.
  • 5+ years of engineering experience on multi‑GPU platforms, including at least 3 years in a customer‑facing support, field engineering, or blocking‑issue role.
  • Strong system‑software expertise across firmware, BIOS, kernel, drivers, and operating systems, with the ability to troubleshoot, optimize, and customize Linux environments for AI/ML workloads.
  • Expert knowledge of data‑center infrastructure – x86/ARM systems, high‑performance storage, and low‑latency networking (InfiniBand/RDMA).
  • Professional‑level communication and organizational skills, including the ability to adjust technical detail to the audience, stay calm in negative situations, and drive issues to closure.
  • Willingness to travel up to 35% to customer, partner, and data‑center sites, including secure facilities, with occasional weekend and holiday coverage.

Preferred qualifications

  • Proven experience with Dell PowerEdge GPU servers and Dell management software (OpenManage, APEX), and familiarity with Dell’s support processes for blocking issues.
  • Direct experience supporting DoD, Intelligence Community, or Civilian agency deployments and comfort operating within their security and logistics constraints.
  • Proficiency in Python for building custom diagnostic and analysis tooling, and C/C++ for platform OS, firmware, and driver work.
  • Experience with containerized and scheduled environments (Docker, Kubernetes, Slurm) and upper‑layer protocols such as NCCL and MPI.
  • Experience analyzing performance of distributed GPU‑accelerated workloads.

Compensation

Base salary range: $152,000 – $241,500 USD for Level 3; $184,000 – $287,500 USD for Level 4. Eligibility for equity and benefits.

Travel

Up to 35% travel to customer, partner, and data‑center sites, including secure facilities, with occasional weekend and holiday coverage.

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