Super Micro Computer, Inc. logo

Sr. System Engineer/Gpu Platforms

Super Micro Computer, Inc.
  • San Jose, CA
  • $137,000–$156,000 Per Year
  • Autofill and Review
30+ days ago

Job Description

Job Req ID: 30083

About Supermicro:

Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide. We are the #5 fastest growing company among the Silicon Valley Top 50 technology firms. Our unprecedented global expansion has provided us with the opportunity to offer a large number of new positions to the technology community. We seek talented, passionate, and committed engineers, technologists, and business leaders to join us.

Job Summary:

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.

Essential Duties and Responsibilities:

Key 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.

Key Competencies

  • Strong technical depth and systems-level troubleshooting ability.
  • Ownership and accountability for complex technical issues.
  • Ability to quickly learn new server, GPU, and software technologies.
  • Effective cross-functional collaboration.
  • Clear technical communication and documentation.
  • Willingness to share knowledge and support team development

5-15 years of relevant experience

Candidates should demonstrate the ability to independently support complex GPU platforms and technical customer environments. More senior candidates should additionally bring broad system-level expertise, technical leadership, mentoring experience, and ownership of complex platform or customer-facing initiatives.

Qualifications:

Required Qualifications

  • 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 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 is a plus.

Salary Range

$137,000 - $156,000

The salary offered will depend on several factors, including your location, level, education, training, specific skills, years of experience, and comparison to other employees already in this role. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation, such as participation in bonus and equity award programs.

EEO Statement

Supermicro is an Equal Opportunity Employer and embraces diversity in our employee population. It is the policy of Supermicro to provide equal opportunity to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or special disabled veteran, marital status, pregnancy, genetic information, or any other legally protected status.

Job Segment: Cloud, Systems Engineer, Embedded, Data Center, Engineer, Technology, Engineering

Numbers & Facts

LocationSan Jose, CA
IndustryComputer Hardware
Salary$137,000–$156,000 Per Year
Company Size1,500 to 1,999 employees
Year Founded1993
Websitehttps://www.supermicro.com/

About Company

Super Micro Computer, Inc. or Supermicro® (NASDAQ: SMCI), a global leader in high-performance, high-efficiency server technology and innovation is a premier provider of end-to-end green computing solutions for Enterprise IT, Datacenter, Cloud Computing, HPC and Embedded Systems worldwide. Supermicro's advanced server Building Block Solutions® offers a vast array of modular, interoperable components for building energy-efficient,pplication-optimized, computing solutions. This broad line of products includes servers, blades, GPU systems, workstations, motherboards, chassis, power supplies, storage technologies, networking solutions and SuperRack® cabinets/accessories. Architecture innovations include Twin Architecture, SuperServer®, SuperBlade®, MicroCloud, Super Storage Bridge Bay (SBB), Double-Sided Storage™, Universal I/O (UIO) and WIO expansion technology all of which deliver unrivaled performance and value.

Skills

  • Analysis Skillsunmatched
  • Apache Hadoopunmatched
  • Artificial Intelligence (AI)unmatched
  • Bash Scriptingunmatched
  • Best Practicesunmatched
  • Big Dataunmatched
  • CUDA (Compute Unified Device Architecture)unmatched
  • Cloud Computingunmatched
  • Communication Skillsunmatched
  • Computer Engineeringunmatched
  • Computer Firmwareunmatched
  • Computer Scienceunmatched
  • Computer Serversunmatched
  • Computer Skillsunmatched
  • Computer Systemsunmatched
  • Cross-Functionalunmatched
  • Customer Relationsunmatched
  • Debugging Skillsunmatched
  • Dockerunmatched
  • Electrical Engineeringunmatched
  • Embedded Systemsunmatched
  • Enterprise Computingunmatched
  • Ethernetunmatched
  • GPU (Graphics Processing Unit)unmatched
  • Geneticsunmatched
  • Identify Issuesunmatched
  • Information Technology & Information Systemsunmatched
  • Input/Outputunmatched
  • Internet of Thingsunmatched
  • Linux Administrationunmatched
  • Linux Driversunmatched
  • Linux Operating Systemunmatched
  • Machine Learningunmatched
  • Mentoringunmatched
  • National Intelligence Council (NIC)unmatched
  • Network Operations Centerunmatched
  • Network Softwareunmatched
  • Operating Systemsunmatched
  • PCI Express (PCI-E)unmatched
  • Presentation/Verbal Skillsunmatched
  • Problem Solving Skillsunmatched
  • Product Lifecycleunmatched
  • Product Managementunmatched
  • Product/Service Launchunmatched
  • Python Programming/Scripting Languageunmatched
  • Release Management/Engineeringunmatched
  • Return on Capital Employed (ROCE)unmatched
  • Root Cause Analysisunmatched
  • Scripting (Scripting Languages)unmatched
  • Server Hardwareunmatched
  • Software Validationunmatched
  • System Architectureunmatched
  • Systems Engineeringunmatched
  • Team Buildingunmatched
  • Technical Analysisunmatched
  • Technical Leadershipunmatched
  • Technical Presentationunmatched
  • Technical Trainingunmatched
  • Technical Writingunmatched
  • Telemetryunmatched
  • Testingunmatched
  • Topologyunmatched
  • Training/Teachingunmatched
  • Writing Skillsunmatched

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