Infrastructure Solutions Architect – OEM

atNVIDIARemoteFull-timeSolutions EngineerMid-levelSenior$152k – $287.5k/year

Posted Sep 18

This is a fully remote position, open to applicants in Texas, +1 more state.

πŸ“‹ Description

β€’ Act as the primary technical liaison for OEM Federal implementations of NVIDIA GPU-accelerated platforms, such as PCIe GPUs, HGX, and MGX systems.

β€’ Resolve critical issues pertaining to OEM Federal deployments.

β€’ Manage customer concerns from start to finish, focusing on platform, firmware, and workload challenges.

β€’ Facilitate problem resolution by collaborating with OEM support tiers and NVIDIA engineering, providing logs and reproduction details to ascertain root causes.

β€’ Maintain communication with customers until issues are resolved.

β€’ Develop and finalize diagnostic, RMA eligibility, and replacement protocols for Federal deployments.

β€’ Manage scenarios where malfunctioning hardware and logs are required to stay on-site at customer locations.

β€’ Navigate FedRAMP, IL5/IL6, and air-gapped SCIF environments effectively.

β€’ Assist clients in adhering to sanitization and chain-of-custody standards for hardware returns.

β€’ Collaborate with OEM Federal support and services teams to minimize blocking issues and avoid unnecessary dispatches.

β€’ Document failure signatures to enhance the Federal knowledge base.

β€’ Utilize AI tools where applicable within the environment.


⛳️ Requirements

β€’ Must be a U.S. citizen.

β€’ Must have and maintain an active U.S. Government TS/SCI clearance.

β€’ Some Intelligence Community customer assignments may necessitate a current U.S. Government-administered Counterintelligence Scope or Full Scope Polygraph.

β€’ BS or MS in Computer Engineering, Electrical Engineering, Computer Science, or equivalent experience.

β€’ Over 5 years of engineering experience with multi-GPU platforms.

β€’ At least 3 years in a customer-facing support, field engineering, or blocking issue role.

β€’ Strong expertise in system software, covering firmware, BIOS, kernel, drivers, and operating systems.

β€’ Capability to troubleshoot, enhance, and tailor Linux environments for AI/ML workloads.

β€’ In-depth knowledge of data center infrastructure, including x86/ARM systems, high-performance storage, and low-latency networking (InfiniBand/RDMA).

β€’ Excellent communication and organizational skills at a professional level.

β€’ Ability to adapt to the technical proficiency of the audience, remain composed in challenging situations, and drive issues to resolution.

β€’ Willingness to travel up to 35% to customer, partner, and data center sites, including secure facilities.

β€’ Availability for occasional weekend and holiday coverage.

β€’ Proven experience with Dell PowerEdge GPU servers and Dell management software (OpenManage, APEX).

β€’ Familiarity with Dell support and blocking-issue procedures.

β€’ Direct experience in supporting DoD, Intelligence Community, or Civilian agency deployments.

β€’ Proficient in Python.

β€’ Proficient in C/C++ for platform OS, firmware, and driver development.

β€’ Experience with Docker, Kubernetes, Slurm, NCCL, and MPI.

β€’ Experience assessing the performance of distributed GPU-accelerated workloads.


🏝️ Benefits

β€’ Equity.

β€’ Benefits.

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