Infrastructure Solutions Architect

NVIDIA is seeking an Infrastructure Solutions Architect to help revolutionize computing. The successful candidate will serve as a senior technical point of contact for OEM Federal deployments of NVIDIA GPU-accelerated platforms.

Responsibilities:

• Serve as the senior technical point of contact for OEM Federal deployments of NVIDIA GPU-accelerated platforms, including PCIe GPUs, HGX, and MGX systems, addressing any blocking issues.
• Own issues end-to-end: take responsibility for customer issues from start to finish , prioritizing platform, firmware, and workload problems.
• Conduct failure analysis and establish diagnostic, RMA eligibility, and replacement procedures for Federal deployments.
• Navigate Federal security frameworks, including FedRAMP, IL5/IL6, and air-gapped environments.
• Partner with OEM Federal support and services teams to reduce blocking issues and unnecessary dispatches.

Requirements:

• U.S. citizen with an active U.S. Government TS/SCI clearance.
• 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.
• Expert knowledge of data center infrastructure , x86/ARM systems, high-performance storage, and low-latency networking.
• Professional-level communication and organizational skills.

Preferred qualifications:

• Dell ecosystem expertise: proven experience with Dell PowerEdge GPU servers and Dell's management software.
• Federal mission experience: direct experience supporting DoD, Intelligence Community, or Civilian agency deployments.
• Programming depth: proficiency in Python for building custom diagnostic and analysis tooling, and C/C++ for platform OS, firmware, and driver work.
• Cluster & HPC technologies: containerized and scheduled environments, and upper layer protocols such as NCCL and MPI.
• Performance analysis: experience analyzing performance of distributed GPU-accelerated workloads.

Benefits:

• Competitive salary: $152,000 - $241,500 (Level 3) or $184,000 - $287,500 (Level 4).
• Equity and benefits package.