Senior System Engineer

Supermicro

. Deploy rack/cluster infrastructure and execute comprehensive system-level testing on GPUs, CPU processors, network and storage .

Posted 10/12/2026full-timeSan Jose • California • United StatesSenior💰 $137,000 - $156,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in HPC/AI applications and benchmarks, with strong capabilities in system-level testing, optimization, and deployment in cloud environments. Proficient in Python programming and automation tools for enhancing operational support and integration of product enhancements.

Highest-signal resume keywords

HPC/AI Application DevelopmentServer/Network/Storage Hardware ConfigurationDevOps in Cloud EnvironmentsPython ProgrammingAutomation Tool Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

System-Level TestingPerformance TestingDebuggingTroubleshootingPython ProgrammingShell ScriptingHPC Benchmark OptimizationAI/ML FrameworksDocker/ContainersKubernetes

Soft Skills

Strong Communication SkillsTeam Collaboration

Tools & Technologies

OpenStackOpenShiftAzureAWSMLPerfTCP/IP Protocol StackUDPIPv4-IPv6DNSDHCP

Certifications & Qualifications

CCNA

Industry Keywords

HPCAICloud InfrastructureNetwork ArchitectureApplication Protocols

Tech Stack

Tools & technologies

AWSAzureCloudDNSDockerKubernetesOpenShiftOpenStackPythonPyTorchShell ScriptingTCP/IPTensorflow

About the role

Key responsibilities & impact

Deploy rack/cluster infrastructure and execute comprehensive system-level testing on GPUs, CPU processors, network and storage
Perform functionality, compatibility, performance, stress and reliability testing using proprietary in-house tools
Conduct proof-of-concept design and testing
Develop expertise in HPC/AI applications and benchmarks
Optimize HPC/AI benchmarks through system tuning and OS/network configuration optimization
Lead day-to-day operational support for cluster, storage, HPC and cloud infrastructure
Identify and document hardware and software quality issues
Collaborate with product management and Engineering teams to integrate enhancements into future products
Write technical documents for test procedures, test reports and troubleshooting procedures
Deliver on-site deployment services for customer acceptance verification and satisfaction
Write automation tools for cluster deployment and test environments

Requirements

What you’ll need

BS/MS in Electrical Engineering, Computer Engineering or a related field; MS preferred
8+ years of work-related experience in server/network/storage hardware configuration, testing, debugging and troubleshooting
8+ years of work-related experience in DevOps or cloud environments, including Docker/Containers and Kubernetes
Experience with leading AI/ML frameworks such as PyTorch and TensorFlow
Familiarity with TCP/IP protocol stack, UDP, IPv4-IPv6, DNS, DHCP and other application protocols
Familiarity with HPC, AI or cloud benchmark tests and networking architecture
Excellent programming skills in Python and shell scripting
Strong communication skills and strong sense of teamwork and good team player
Familiarity with MLPerf Training/Inference benchmark, LLM, HPL-AI or RCCL/NCCL is a plus
CCNA, OpenStack, OpenShift, Azure or AWS is a plus

Benefits

Comp & perks

Comprehensive benefits package
Potential eligibility for bonus programs
Potential eligibility for equity award programs