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.
- Well-known Cloud Certification(s).
Skills Required
- 8+ years of experience designing and operating large scale compute infrastructure
- B.sc in Computer Science, Electrical Engineering or related field or equivalent experience
- Experience with job schedulers such as IBM/Platform LSF, SGE, SLURM, Marathon, Chronos
- Solid understanding of cluster configuration management 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
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.
-
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.
-
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.
-
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.”
