Infrastructure Solutions Architect - OEM

NVIDIA Corporation; Austin (TX); On-site; USD 184,000 - 288,000; Full time

Job summary

NVIDIA Corporation is seeking an Infrastructure Solutions Architect to support Federal deployments of GPU-accelerated platforms. You will be the senior technical contact, owning issues end to end and ensuring rapid resolution across firmware, platform, and workload layers.

Role requires TS/SCI clearance, strong Linux/firmware expertise, and 5+ years on multi-GPU systems with customer-facing experience. Some travel to data centers and secure facilities is expected.

Qualifications

• 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 customer-facing support/field engineering.
• Strong system software expertise across firmware, BIOS, kernels, drivers, and Linux for AI/ML workloads.
• Expert knowledge of data center infrastructure — x86/ARM, high-performance storage, and InfiniBand/RDMA.
• Professional communication and organizational skills, with ability to drive issues to closure.

Responsibilities

• Serve as the senior technical point of contact for OEM Federal deployments of NVIDIA GPU-accelerated platforms, addressing blocking issues.
• Own issues end to end: prioritize platform, firmware, and workload problems and push through OEM support tiers to NVIDIA engineering.
• Perform failure analysis and RMA processes for Federal deployments, including on-site log retention when needed.
• Navigate Federal security frameworks (FedRAMP, IL5/IL6, air-gapped SCIF) and help meet sanitization/chain-of-custody requirements.
• Collaborate with OEM Federal support and services teams to reduce blocking issues and dispatches.
• Detail failure signatures to build knowledge base and apply AI tooling where applicable.

Skills

Python

C/C++

Linux

Firmware/BIOS/kernel/drivers

x86/ARM

Strong communication

Education

BS/MS in Computer Engineering, Electrical Engineering, or Computer Science

Tools

Docker

Kubernetes

OpenManage

APEX

Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are looking for an Infrastructure Solutions Architect to help revolutionize computing. At NVIDIA, we encourage an inclusive and collaborative environment where ambitious individuals can grow. Our dedication to innovation and excellence has made us a leader in technology. We are now seeking outstanding talent to join us on this journey.

What you’ll be doing:

• 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. Drive these issues through the OEM's support tiers into NVIDIA engineering with the necessary logs and reproduction details to identify the root cause. Follow through with the customer until resolution.
• Failure Analysis & RMA: Establish and complete diagnostic, RMA eligibility, and replacement procedures for Federal deployments. This includes situations where failed hardware and logs must remain on-site at the customer facility.
• Navigate Federal security frameworks including FedRAMP, IL5/IL6, and air-gapped (SCIF) environments, and help the customer 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 and apply AI tools where the environment allows.

What we need to see:

• Due to the classified nature of the work, the selected candidate must be a U.S. citizen and possess and maintain an active U.S. Government TS/SCI clearance.
• Certain Intelligence Community customer assignments may also 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, 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 adjusting to the technical level of the audience, staying calm and focused in negative situations, and driving issues through to closure.
• This role requires up to 35% travel to customer, partner, and data center sites, including secure facilities, and occasional weekend and holiday coverage.

Ways to stand out from the crowd:

• Dell Ecosystem Expertise: Proven experience with Dell PowerEdge GPU servers and Dell's management software (OpenManage, APEX), and familiarity with Dell's support and process for handling blocking issues.
• Federal Mission Experience: Direct experience supporting DoD, Intelligence Community, or Civilian agency deployments, and comfort operating within their security and logistics constraints.
• 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 (Docker, Kubernetes, Slurm) and upper layer protocols such as NCCL and MPI.
• Performance Analysis: Experience analyzing performance of distributed GPU-accelerated workloads.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 21, 2026.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry.

Learn more about NVIDIA.