Sr. System Engineer/GPU Platforms at SuperMicro

Location: Huntington Beach, California
Level: senior
Posted: Sep 2, 2026

Summary from listing

Supermicro is hiring a Senior Systems Engineer / GPU Platforms to support the bring-up, qualification, enablement, and customer deployment of advanced multi-GPU server systems for AI, HPC, enterprise computing, and accelerated workloads. The role covers system configuration, Linux and GPU software troubleshooting, NVQUAL or equivalent qualification, customer POC/EVAL support, technical documentation, training, and mentoring. Candidates need 5–15 years of relevant experience, a bachelor’s degree or equivalent practical experience, and strong server hardware, Linux, GPU, PCIe, and systems troubleshooting expertise.

Required Skills

Linux
GPU drivers
CUDA
NVQUAL
PCIe
Root-cause analysis
GPU computing
Bash

Additional Information

Minimum Education: Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science, Information Technology, or a related discipline, or equivalent practical experience.
Required Previous Experiences: 5–15 years of relevant industry experience in systems engineering, server engineering, platform engineering, validation, technical enablement, HPC, AI infrastructure, or a related field.
Hands-on experience with Linux server environments.
Experience installing, configuring, validating, and troubleshooting server hardware and software.
Experience with GPU computing, accelerators, or comparable high-performance computing technologies.
Preferred Qualifications: Hands-on experience with NVIDIA data center or professional GPU platforms.
Experience with CUDA and NVIDIA GPU software environments.
Experience with NVIDIA NVQUAL or similar platform qualification processes.
Experience with 4-GPU or 8-GPU server platforms.
Familiarity with NVIDIA Blackwell, B200, Rubin, or comparable accelerator architectures.
Knowledge of PCIe topology, NUMA, DMA, IOMMU, and GPU-to-NIC communication.
Experience with GPUDirect RDMA, InfiniBand, RoCE, or high-speed Ethernet.
Familiarity with NCCL, NVML, DCGM, Fabric Manager, or similar GPU diagnostic and management tools.
Experience with Docker, containers, Kubernetes, or related orchestration technologies.
Experience supporting AI, machine learning, HPC, or accelerated computing environments.
Experience with customer POCs, technical evaluations, or engineering escalations.
Experience delivering technical training or knowledge-sharing sessions.
Bash, Python, or other scripting experience.