Sr. System Engineer/GPU Platforms

Supermicro•San Jose, CA

About The Position

Supermicro is seeking an experienced Senior Systems Engineer / GPU Platforms to support the bring-up, qualification, enablement, and customer deployment of advanced GPU computing platforms. This role focuses on multi-GPU server systems used for AI, HPC, enterprise computing, and accelerated workloads. The successful candidate will work across the product lifecycle, from initial system bring-up and qualification through product release, customer POC/EVAL support, debugging, and post-launch technical enablement. The ideal candidate combines strong server hardware knowledge with hands-on Linux and GPU software experience and can independently troubleshoot complex issues across hardware, firmware, operating systems, networking, and GPU software environments.

Requirements

Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science, Information Technology, or a related discipline, or equivalent practical experience.
5–15 years of relevant industry experience in systems engineering, server engineering, platform engineering, validation, technical enablement, HPC, AI infrastructure, or a related field.
Strong knowledge of enterprise server hardware and system architecture.
Hands-on experience with Linux server environments.
Experience installing, configuring, validating, and troubleshooting server hardware and software.
Strong system-level troubleshooting and root-cause-analysis skills.
Working knowledge of PCIe architectures and high-performance I/O.
Experience with GPU computing, accelerators, or comparable high-performance computing technologies.
Ability to independently manage complex technical assignments and drive issues toward resolution.
Strong written and verbal communication skills.
Ability to work effectively with cross-functional and geographically distributed engineering teams.
Comfortable participating in customer-facing technical discussions.

Nice To Haves

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 is a plus.

Responsibilities

Support system bring-up, configuration, integration, validation, and troubleshooting of advanced GPU server platforms.
Execute and support GPU platform qualification activities, including NVIDIA NVQUAL or equivalent validation processes.
Install, configure, and troubleshoot Linux, GPU drivers, CUDA environments, firmware, libraries, and related software components.
Diagnose complex system issues using logs, telemetry, diagnostics, and vendor tools, and drive issues to resolution or appropriate engineering escalation.
Support multi-GPU server platforms throughout qualification, product launch, and post-release engineering activities.
Participate in customer-facing POC/EVAL engagements, including system preparation, technical calls, debugging, and issue resolution.
Collaborate with internal Architecture, Systems, Software, Validation, Product Management, and other engineering teams, as well as external technology partners.
Develop technical documentation, troubleshooting guides, and best practices.
Deliver technical presentations, training sessions, and internal knowledge-sharing activities.
Serve as a technical resource and mentor for other engineers when appropriate.