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Super Micro Computer

Modular, energy-efficient server hardware solutions

Senior Systems Engineer/GPU Platforms

Hardware Systems IntegrationUpdated on Nov 14
Full-timeSan Jose, CA, USAIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, Information Technology, or a related discipline, or equivalent practical experience.
  • Five to fifteen 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.
  • Comfort participating in customer-facing technical discussions.

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.

Desired 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.

About the Company

Super Micro Computer

Modular, energy-efficient server hardware solutions

Super Micro Computer designs and sells high-performance, energy-efficient server hardware and related software and services for data centers, cloud, AI, 5G, and edge computing. Its modular Building Block Solutions let customers assemble configurable servers, storage, motherboards, and chassis from common components to match workloads. The company emphasizes green computing and power efficiency to reduce energy use in large-scale deployments and enable faster procurement. Its goal is to help customers deploy reliable computing infrastructure quickly through direct sales and an extensive partner network of distributors and value-added resellers.

Company size
5,001-10,000
Company stage
IPO
Headquarters
San Jose, CA
Founded
1993

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