Network Engineer

Supermicro

. Manage the rollout and maintenance of business-critical applications and services .

Posted 10/6/2026full-timeSan Jose • California • United StatesMid-LevelSenior💰 $120,000 - $140,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in managing HPC/AI applications, including testing, optimization, and customer support. Proficient in utilizing AI/ML frameworks and tools, with a strong foundation in Linux and networking environments.

Highest-signal resume keywords

HPC/AI Application ManagementDeep Learning and Machine LearningLinux/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 Rack TestingBIOS Settings OptimizationShell Scripting (Windows and Linux)Workload/Scheduler Management (Slurm)Benchmarking (MLPerf, HPL-AI)Technical Documentation CreationProof-of-Concept Design and TestingCustomer Acceptance VerificationAutomation ScriptingPerformance Testing

Soft Skills

TeamworkCommunication

Tools & Technologies

NVIDIA Development Toolkits (CUDA, oneAPI, ROCm)DockerKubernetesOpenStackOpenShiftAzureAWS

Certifications & Qualifications

CCNA

Industry Keywords

HPCAIMachine LearningDeep LearningCloud ComputingNetworkingDebuggingPerformance OptimizationCustomer SupportTechnical Training

Tech Stack

Tools & technologies

AWSAzureCloudDockerKubernetesLinuxOpenShiftOpenStackPyTorchShell ScriptingTensorflow

About the role

Key responsibilities & impact

Manage the rollout and maintenance of business-critical applications and services
Resolve escalated service issues
Execute comprehensive system-level rack tests on NVIDIA and AMD GPUs, ARM-based, Intel Xeon and AMD EPYC processors
Test functionality, compatibility, performance, stress and reliability using proprietary in-house tools
Establish knowledge of 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
Provide optimized benchmarks for HPC/AI applications
Fine-tune BIOS settings and optimize OS/network configurations
Develop simulation configurations for various workloads
Deliver on-site deployment services and customer acceptance verification
Provide post-level 1 and 2 support
Create and maintain technical notes, blogs, diagrams and other documentation
Identify and document hardware and software quality issues
Collaborate with Product Management and Engineering teams on product enhancements
Contribute to HPC roadmap development and plan software and hardware upgrades
Document and analyze test plans, reports and logs
Contribute to test utilities and automation scripts

Requirements

What you’ll need

BS/MS in Electrical Engineering, Computer Engineering or Computer Science
5+ years of work-related experience in Deep Learning and Machine Learning
5+ 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 cloud environments, including Docker/Containers and Kubernetes
Hands-on experience with workload/scheduler managers such as 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 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
Potential bonus program participation
Potential equity award program participation