Infrastructure Solutions Architect – OEM

🔥 6 minutes ago

🤠 Texas, Virginia – Remote

🤠 Texas – Remote ⚔️ Virginia – Remote

💵 $152k - $287.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Serve as the senior technical point of contact for OEM Federal deployments of NVIDIA GPU-accelerated platforms, including PCIe GPUs, HGX, and MGX systems • Address blocking issues for OEM Federal deployments • Own customer issues end to end, prioritizing platform, firmware, and workload problems • Drive issues through OEM support tiers into NVIDIA engineering with logs and reproduction details to identify root causes • Follow through with customers until resolution • Establish and complete diagnostic, RMA eligibility, and replacement procedures for Federal deployments • Handle situations where failed hardware and logs must remain on-site at customer facilities • Navigate FedRAMP, IL5/IL6, and air-gapped SCIF environments • Help customers meet 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 • Apply AI tools where the environment allows

🎯 Requirements

• Must be a U.S. citizen • Must possess and maintain an active U.S. Government TS/SCI clearance • Certain Intelligence Community customer assignments may require a current U.S. Government-administered 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 • 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 • Ability to troubleshoot, optimize, and customize Linux environments for AI/ML workloads • Expert knowledge of data center infrastructure, including x86/ARM systems, high-performance storage, and low-latency networking (InfiniBand/RDMA) • Professional-level communication and organizational skills • Ability to adjust to the technical level of the audience, stay calm and focused in negative situations, and drive issues through to closure • Up to 35% travel to customer, partner, and data center sites, including secure facilities • Occasional weekend and holiday coverage • Proven experience with Dell PowerEdge GPU servers and Dell management software (OpenManage, APEX) • Familiarity with Dell support and blocking-issue processes • Direct experience supporting DoD, Intelligence Community, or Civilian agency deployments • Proficiency in Python • Proficiency in C/C++ for platform OS, firmware, and driver work • Experience with Docker, Kubernetes, Slurm, NCCL, and MPI • Experience analyzing performance of distributed GPU-accelerated workloads

🏖️ Benefits

• Equity • Benefits