Sr. System Engineer

Supermicro • San Jose, CA

19h

About The Position

We are seeking an experienced Sr. Systems Engineer to join our Kubernetes AI team. Job functions include Linux & Kubernetes certifications, AI software stack validation & reference architectures, systems benchmarking (MLPerf) & tuning. The ideal candidate will have hands-on experience in a server lab environment. This role provides a degree of autonomy, where the candidate should be able to operate and produce results without guidance; but we will also make sure your properly technically trained or tutored. In the fast-evolving world of AI, the candidate must be willing, and a fast learner. The candidate will be a key contributor to our Kubernetes AI team. We develop products, take them to market, support sales to architect bespoke HW + SW stacks for customers, and deploy as a turn-key solution.

Requirements

• Bachelor's degree in Electrical Engineering, Electronics, Computer Engineering, Mechanical Engineering, or related field
• 8+ years of experience in an engineering, product development, validation, or test engineering environment.
• Strong understanding of hardware/software integration and performance tuning.
• Experienced with Linux and Kubernetes environments.
• Experience with scripting or automation tools such as Python, Bash, or PowerShell.
• Strong troubleshooting and analytical skills.
• Ability to read schematics, engineering drawings, and technical documentation.
• Good written and verbal communication skills.

Nice To Haves

• Experience with physical server hardware installation and deployment
• Experience with automated test systems and data acquisition tools.
• Familiarity with embedded systems or firmware validation.
• Knowledge of networking concepts and interfaces.
• Experience with Jira, Confluence, or similar engineering workflow tools.
• Understanding of manufacturing test processes or product qualification.

Responsibilities

• Architect & develop reference architectures for full AI Factory stacks, from NVAIE, to Kubernetes, to Storage.
• Support sales on customer engagements to provide technical subject matter expertise on AI solutions.
• Architect & BOM SW+HW AI stacks for customers.
• Run Linux and Kubernetes certifications on Supermicro servers
• Run benchmarks (MLPerf) on GPU servers and perform systems tuning & optimization support.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior