Senior System Engineer – GPU Platforms

Supermicro

Senior Systems Engineer enabling multi-GPU server platforms for Supermicro’s AI, HPC, and enterprise computing customers. Supporting bring-up, qualification, debugging, customer evaluations, and technical enablement.

Posted 9/2/2026full-timeSan Jose • California • 🇺🇸 United StatesSenior💰 $137,000 - $156,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in GPU server platform support, including installation, configuration, and troubleshooting of Linux environments and GPU technologies. Proficient in system-level diagnostics, technical documentation, and cross-functional collaboration to drive complex technical assignments to resolution.

Highest-signal resume keywords

GPU ComputingLinux Server EnvironmentsSystem-Level TroubleshootingNVIDIA NVQUALTechnical Documentation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

GPU DriversCUDAServer Hardware ConfigurationRoot-Cause AnalysisPCIe ArchitecturesHigh-Performance ComputingNVIDIA Data Center PlatformsDockerPython ScriptingBash Scripting

Soft Skills

Strong Communication SkillsCross-Functional CollaborationCustomer-Facing Technical DiscussionsMentoring

Tools & Technologies

NCCLNVMLDCGMFabric ManagerInfiniBandRoCEHigh-Speed EthernetKubernetes

Industry Keywords

Systems EngineeringServer EngineeringPlatform EngineeringTechnical EnablementAI InfrastructureHPC

Tech Stack

Tools & technologies

DockerKubernetesLinuxPython

About the role

Key responsibilities & impact

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 Architecture, Systems, Software, Validation, Product Management, other engineering teams, and 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

Requirements

What you’ll need

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
Preferred: Hands-on experience with NVIDIA data center or professional GPU platforms
Preferred: Experience with CUDA and NVIDIA GPU software environments
Preferred: Experience with NVIDIA NVQUAL or similar platform qualification processes
Preferred: Experience with 4-GPU or 8-GPU server platforms
Preferred: Familiarity with NVIDIA Blackwell, B200, Rubin, or comparable accelerator architectures
Preferred: Knowledge of PCIe topology, NUMA, DMA, IOMMU, and GPU-to-NIC communication
Preferred: Experience with GPUDirect RDMA, InfiniBand, RoCE, or high-speed Ethernet
Preferred: Familiarity with NCCL, NVML, DCGM, Fabric Manager, or similar GPU diagnostic and management tools
Preferred: Experience with Docker, containers, Kubernetes, or related orchestration technologies
Preferred: Experience supporting AI, machine learning, HPC, or accelerated computing environments
Preferred: Experience with customer POCs, technical evaluations, or engineering escalations
Preferred: Experience delivering technical training or knowledge-sharing sessions
Bash, Python, or other scripting experience is a plus

Benefits

Comp & perks

Comprehensive benefits package
Bonus program eligibility
Equity award program eligibility