senior operations Systems Engineer ic 6+ yrs Bachelor's · Posted Apr 20, 2026

About this role

Nvidia is hiring a senior-level Systems Engineer in the operations function based in Santa Clara, CA. The posting calls out experience with Python, Kubernetes, Ansible, Deep Learning and roughly 6+ years of relevant work. Listed education preference: a bachelor's degree or equivalent.

Role
Systems Engineer
Function
operations
Level
senior
Track
Individual contributor
Employment
Full-time
Location
Santa Clara, CA
Experience
6+ years
Education
Bachelor's degree
Posted
Apr 20, 2026
AI Summary
Senior Systems Engineer responsible for GPU datacenter system bringup, performance tuning, and large-scale compute platform architecture. Requires 6+ years accelerated computing experience, Linux/OS automation expertise with Python/Ansible/Jenkins, and deep knowledge of server infrastructure, BMC/firmware, PCIe, and datacenter provisioning.

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Job description

from Nvidia careers

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence. Make the choice, join our diverse team today!

We are looking for an outstanding architect for a Senior System Engineer role for system bringup and datacenter applications. Be a key player to the most exciting computing hardware and software to contribute to the latest breakthroughs in artificial intelligence, Omniverse, and GPU computing. Provide insights on at-scale system design and tuning mechanisms for large-scale compute runs. You will work with the latest Accelerated computing and Deep Learning software, or Omniverse software, and hardware platforms, and with many scientific researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions. You will interact with HPC, OS, GPU compute, and systems specialist to architect, develop and bring up large scale performance platforms.

This is an excerpt. Read the full job description on Nvidia careers →
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