NVIDIA is looking for an experienced HPC DevOps Engineer to help us build the supercomputers and HPC clusters of the future. As a Senior HPC DevOps Engineer, you'll be a key player in groundbreaking advancements in artificial intelligence and GPU computing. Your expertise will drive the latest breakthroughs, providing 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 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.
What you’ll be doing:
Innovate and Implement: Design, implement, and maintain large-scale HPC/AI clusters with state-of-the-art monitoring, logging, and alerting systems.
Infrastructure as Code (IaC): Utilize and develop tools to manage infrastructure as code, ensuring scalable and repeatable deployments.
Streamline CI/CD Pipelines: Develop and maintain continuous integration and continuous delivery (CI/CD) pipelines to automate and streamline deployment processes.
Automate Everything: Develop automation scripts and tools to automate deployment, configuration management, and operational monitoring.
Develop complex Networking automations.
Troubleshoot Complex Issues: Perform comprehensive troubleshooting from bare metal to application level, ensuring system reliability and efficiency.
Lead and Educate: Serve as a technical resource, developing and sharing best practices with internal teams.
Drive Innovation: Support R&D activities and engage in proof of concepts (POCs) and proof of values (POVs) for future improvements.
What we need to see:
B.Sc. in Computer Science, Engineering, or a related field
5+ years of experience
Advanced proficiency in programming and scripting languages, with a solid understanding of object-oriented programming principles.
Familiarity with Jenkins, Ansible, Puppet/Chef.
Deep understanding of Kubernetes and container-related microservice technologies.
Hands-on experience with event streaming or message queue technologies e.g. Apache Kafka.
Experience with multiple storage solutions like Lustre, GPFS, ZFS, and XFS.
Expertise with virtual systems (VMware, Hyper-V, KVM, Citrix).Familiarity with cloud platforms (AWS, Azure, Google Cloud).
Ways to stand out from the crowd:
Proven networking experience or strong knowledge through professional networking training.
Architectural Insight: Knowledge of CPU and/or GPU architecture.
Experience with job scheduling workloads and orchestration tools such as Slurm and Kubernetes.
At NVIDIA, we value diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We provide reasonable accommodations to ensure all individuals can participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. Join us and be part of a team that's pushing the boundaries of technology and making a real impact in the world.
Skills Required
- B.Sc. in Computer Science, Engineering, or a related field
- 5+ years of experience
- Advanced proficiency in programming and scripting languages and object-oriented programming
- Experience with Jenkins, Ansible, Puppet or Chef
- Deep understanding of Kubernetes and container-related microservice technologies
- Hands-on experience with event streaming or message queue technologies such as Apache Kafka
- Experience with storage solutions such as Lustre, GPFS, ZFS, and XFS
- Expertise with virtualization platforms (VMware, Hyper-V, KVM, Citrix)
- Familiarity with cloud platforms (AWS, Azure, Google Cloud)
- Experience with job scheduling workloads and orchestration tools such as Slurm
- Proven networking experience or strong networking knowledge
- Knowledge of CPU and/or GPU 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 — 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.”
