NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence.
Join our team of innovative engineers who develop and maintain software facilitating GPU communication, driving groundbreaking solutions in High Performance Computing and Deep Learning. We're looking for highly motivated EngOps and Platform Engineers to boost execution efficiency while managing and maintaining large GPU clusters interconnected via NVLink and InfiniBand.
What you will be doing:
Develop automated tools to efficiently deploy, provision, and maintain extensive GPU clusters interconnected via NVLink and InfiniBand
Implement modern DevOps tools to automate software updates, perform maintenance tasks, and monitor cluster availability, ensuring seamless operations.
Take ownership of daily cluster failures and issues, troubleshooting them promptly to maintain optimal cluster availability and performance.
Manage the rollout and rollback of cluster software and firmware updates, ensuring smooth transitions and minimal disruptions.
Collaborate effectively with dynamic Engineering and Product Teams across multiple time zones to align cluster operations with evolving project requirements.
What we need to see:
BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience.
5+ years of hands-on experience in deploying and administrating clusters, servers, switches, and related infrastructure.
Automation expert with hands on skills in Ansible, Python and Shell Scripting.
Deep understanding of operating systems, computer networks, and high-performance applications.
Proven ability to work effectively with developers and test engineers across different teams and time zones.
Proficient with Linux fundamentals.
Ways to stand out from the crowd:
Familiarity with resource scheduling managers, preferably Slurm.
Direct experience with industry standard alerting tools and emergency response practices.
Hands-on experience with GPU-focused hardware and software, such as DGX systems and Compute Clusters.
Proficiency in crafting and implementing a robust metrics collection and alerting infrastructure.
Proficiency in designing large scale networking technologies and the associated challenges.
Skills Required
- BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience
- 5+ years of hands-on experience in deploying and administrating clusters, servers, switches, and related infrastructure
- Automation expert with hands on skills in Ansible, Python and Shell Scripting
- Deep understanding of operating systems, computer networks, and high-performance applications
- Proficient with Linux fundamentals
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s 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 — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
