Network Systems Engineer

Supermicro

. Assist with rolling out and maintaining business-critical applications and services .

Posted 9/22/2026full-timeSan Jose • California • United StatesJunior💰 $120,000 - $140,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in HPC/AI application support, including performance testing, optimization, and deployment. Proficient in Linux and networking, with hands-on experience in cloud environments and relevant programming skills.

Highest-signal resume keywords

HPC/AI Application SupportDeep Learning and Machine LearningLinux/Networking DebuggingDevOps and Cloud EnvironmentsServer/Network Hardware Debugging

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Performance TestingBIOS OptimizationShell ScriptingAutomation ScriptingWorkload/Scheduler ManagementTesting Utilities DevelopmentSystem-Level Rack TestingCompatibility TestingReliability TestingProof-of-Concept Design

Soft Skills

TeamworkCommunication

Tools & Technologies

NVIDIA GPUsAMD GPUsARM-Based ProcessorsIntel Xeon ProcessorsAMD EPYC ProcessorsDocker/ContainersKubernetesSlurmMLPerfIntel/AMD/NVIDIA Development Toolkits

Certifications & Qualifications

CCIEJNCIEArista ACECCNAOpenStackOpenShiftAzureAWS

Industry Keywords

Data CenterEnterprise NetworkingTelecommunication RoutingSwitching TechnologiesHPC Roadmap Development

Tech Stack

Tools & technologies

AWSAzureCloudDockerKubernetesLinuxOpenShiftOpenStackShell ScriptingSwitching

About the role

Key responsibilities & impact

Assist with rolling out and maintaining business-critical applications and services
Work with senior engineers to resolve escalated service issues
Collaborate with other engineers on resolutions and complex project implementation
Execute system-level rack tests on NVIDIA and AMD GPUs, ARM-based, Intel Xeon, and AMD EPYC processors
Perform functionality, compatibility, performance, stress, and reliability testing using proprietary tools
Address customer support issues for HPC/AI applications and benchmarks
Conduct proof-of-concept design and testing and provide optimized HPC/AI application benchmarks
Fine-tune BIOS settings and optimize OS/network configurations
Develop simulation configurations for varied workloads
Deliver on-site deployment services, customer acceptance verification, and post-level 1 and 2 support
Create and maintain technical notes, blogs, diagrams, test plans, reports, and logs
Identify and document hardware and software quality issues
Collaborate with Product Management and Engineering teams to incorporate customer feedback into product enhancements
Contribute to HPC roadmap development and plan software and hardware upgrades
Develop test utilities and automation scripts to streamline testing

Requirements

What you’ll need

BS/MS in Electrical Engineering, Computer Engineering or Computer Science
1+ years of work-related experience in Deep Learning and Machine Learning
Familiarity with Linux/networking debugging/testing or relevant experience preferred
Familiarity with data center, enterprise, or telecommunication routing and switching networking technologies
Knowledge of DevOps or cloud environments, including Docker/Containers and Kubernetes
Hands-on experience with workload/scheduler managers (Slurm) for rack/cluster
Familiarity with MLPerf Training/Inference benchmark, LLM, HPL-AI or RCCL/NCCL
Programming experience with Windows and Linux shell scripting
Strong teamwork and communication skills
Familiarity with Intel/AMD/NVIDIA development toolkits such as CUDA, oneAPI, ROCm
Relevant certifications such as CCIE, JNCIE, or Arista ACE highly desirable
Experience with server/network hardware debugging and troubleshooting
CCNA, OpenStack, OpenShift, Azure or AWS

Benefits

Comp & perks

Comprehensive benefits package
Potential bonus compensation
Potential equity award participation