We are now looking for a Senior HPC Site Reliability Engineer to join our mission and continue improving our HPC infrastructure. A meaningful part of NVIDIA’s strength is our unique and advanced development tools and environments that enable our incredible pace of innovation. We are looking for architects to help us evolve the way our private compute cloud is architected and optimized.
What you will be doing:
- Provide leadership in the design and implementation of our large-scale compute cloud that enables the world's top chip modelers, designers, and deep learning experts to invent groundbreaking technology.
- Identify architectural changes or completely innovative approaches in our cloud architecture and design.
- Help with strategic challenges we encounter, including: effective resource utilization in a heterogeneous compute environment, evolving our private/public cloud strategy, capacity modeling, and planning for multi-year growth and scaling across our global computing environment!
What we need to see:
- B.sc in Computer Science, Electrical Engineering or related field or equivalent experience
- 8+ years of experience designing and operating large scale compute infrastructure.
- Experience with job schedulers such as IBM/Platform LSF, SGE, SLURM, Marathon, Chronos.
- Solid understanding of cluster configuration managements tools – Ansible, Puppet, Chef, Salt.
- Good experience providing compute services using a public cloud (AWS, Azure, Google Cloud)
- Strong script-writing skills: Python, Bash, Perl
- Knowledge of and/or experience deploying PaaS microservices – Docker, Docker Swarm, Kubernetes
- Understanding of fast distributed and network attached storage solutions and Linux file systems, ability to recommend and implement solutions to improve OS performance and reliability.
Ways to stand out from the crowd:
- Linux certification from a well-known vendor - RedHat, Oracle, etc.
- Prior experience managing large-scale Kubernetes deployment in production.
- Strong skills in modern container networking and storage architecture.
Skills Required
- Bachelor’s degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience
- 8+ years of experience designing and operating large-scale compute infrastructure
- Experience with job schedulers such as IBM Platform LSF, SGE, SLURM, Marathon, or Chronos
- Experience with cluster configuration management tools including Ansible, Puppet, Chef, or Salt
- Experience providing compute services using a public cloud such as AWS, Azure, or Google Cloud
- Strong scripting skills in Python, Bash, or Perl
- Knowledge of or experience deploying PaaS microservices using Docker, Docker Swarm, or Kubernetes
- Understanding of distributed and network-attached storage solutions and Linux file systems
- Ability to recommend and implement solutions improving OS performance and reliability
- Linux certification from a recognized vendor such as Red Hat or Oracle
- Experience managing large-scale Kubernetes deployments in production
- Strong skills in modern container networking and storage architecture
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 — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
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Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
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Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.
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.”
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