Senior Network Engineer

Supermicro

. Execute comprehensive system-level rack tests on NVIDIA and AMD GPUs, ARM-based, Intel Xeon, and AMD EPYC processors .

Posted 10/6/2026full-timeSan Jose • California • United StatesSenior💰 $140,000 - $170,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in HPC/AI applications and benchmarks, with a strong background in Deep Learning and Machine Learning. Proficient in system-level testing, optimization of hardware and software configurations, and delivering customer training and support.

Highest-signal resume keywords

HPC/AI Applications ExpertiseDeep Learning and Machine Learning ExperienceLinux/Networking DebuggingAI/ML Frameworks (PyTorch, TensorFlow, ONNX)DevOps and Cloud Environments (Docker, Kubernetes)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

System-Level TestingBIOS OptimizationShell Scripting (Windows and Linux)Workload/Scheduler Management (Slurm)Performance BenchmarkingAutomation ScriptingTechnical DocumentationCustomer Acceptance VerificationHardware/Software Quality Issue IdentificationPost-Level 1 and 2 Support

Soft Skills

Strong Communication SkillsTeamworkCustomer Support

Tools & Technologies

NVIDIA Development Toolkits (CUDA, oneAPI, ROCm)DockerKubernetesOpenStackOpenShiftAzureAWS

Certifications & Qualifications

CCNA

Industry Keywords

HPCAIMachine LearningDeep LearningMLPerfLLMHPL-AIRCCLNCCL

Tech Stack

Tools & technologies

AWSAzureCloudDockerKubernetesLinuxOpenShiftOpenStackPyTorchShell ScriptingTensorflow

About the role

Key responsibilities & impact

Execute comprehensive 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 in-house tools
Establish expertise in HPC/AI applications and benchmarks
Deliver training sessions to customers and partners
Address complex customer support issues and build processes for HPC/AI solutions
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 diverse workloads
Deliver on-site deployment services and customer acceptance verification
Provide 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
Help develop test utilities and automation scripts

Requirements

What you’ll need

BS/MS in Electrical Engineering, Computer Engineering or Computer Science
8+ years of work-related experience in Deep Learning and Machine Learning
8+ years of Linux/networking debugging/testing or relevant experience preferred
Experience with leading AI/ML frameworks such as PyTorch, TensorFlow, ONNX, etc.
Experience with DevOps or in 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 sense of teamwork and good team player, strong communication skills
Familiarity with Intel/AMD/NVIDIA development toolkits such as CUDA, oneAPI, ROCm is a plus
Experience with server/network hardware debugging and troubleshooting is a plus
CCNA, OpenStack, OpenShift, Azure or AWS is a plus

Benefits

Comp & perks

Comprehensive benefits package
Eligibility for bonus programs
Eligibility for equity award programs