Senior System Engineer

Supermicro

. Deploy rack/cluster infrastructure and execute comprehensive system-level testing on GPUs, CPUs, networking 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 deploying and optimizing HPC/AI applications and infrastructure, with strong capabilities in system-level testing, automation, and collaboration with engineering teams. Proficient in troubleshooting and enhancing server, network, and storage configurations in cloud environments.

Highest-signal resume keywords

HPC/AI Applications ExpertiseDevOps ExperiencePython ProgrammingDocker/ContainersKubernetes

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

System-Level TestingServer ConfigurationNetwork ConfigurationStorage ConfigurationDebuggingTroubleshootingAutomation ToolsAI/ML FrameworksTechnical DocumentationShell Scripting

Soft Skills

CollaborationProblem-Solving

Tools & Technologies

DockerKubernetesOpenStackOpenShiftAzureAWS

Certifications & Qualifications

CCNA

Industry Keywords

HPCAICloud InfrastructureTCP/IPUDPIPv4IPv6DNSDHCPMLPerf

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, CPUs, networking and storage
Conduct proof-of-concept design and testing
Establish expertise in HPC/AI applications and benchmarks; optimize system settings and OS/network configurations
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
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