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 unique 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. You will design and build the next-generation architecture and software for managing storage services to support our engineers, architects with NVIDIA GPU design, VLSI, Corporate, and AI/ML teams. You will build the self-service architecture and capabilities to enable NVIDIA GPU design teams and handle services that are very critical for all NVIDIA users that require 24/7/365 availability and support. Your duties will involve leading and supporting the design of storage platform software services that not only impact revenue but also form the backbone of NVIDIA engineering infrastructure services and various business applications.
What you’ll be doing:
Define, Build, and manage an all-encompassing Enterprise software engineering platform to manage storage infrastructure and services consisting of a variety of enterprise appliances, networks, and open-source technologies
Design and expand REST API’s that thousands of engineers will rely on for on-demand storage management to manage their workflows.
Build and Integrate provisioning, metrics, monitoring, and software to enable management workflows for storage services.
Develop tooling to automate deployment and management of large-scale design-storage environments, to automate operational monitoring and alerting, and to enable self-service consumption of resources.
Document the general procedures and practices, perform technology evaluations, and coordinate and track system orders, installations and deployment.
What we need to see:
BS in Computer Science (or equivalent experience) with 8+ years of relevant experience, MS with 5+ years of experience or Ph.D. with 3 years of experience
Extensive experience building and owning large-scale, multi-threaded, distributed backend systems
Experience designing and building REST APIs in Python or Go
Background with containerization and orchestration tools (e.g., Docker, Kubernetes)
Experience with cloud infrastructure - AWS, Azure or Google Cloud.
Background with telemetry stacks, like Grafana, Prometheus monitoring, AlertManager, and Kibana
Strong collaborative and social skills, specifically a shown ability to effectively guide and influence within a dynamic matrix environment
Ways to stand out from the crowd:
Demonstrated work with Open-Source software: building, debugging, patching, and contributing code.
Experience with solving Linux storage-related problems
Experience with design, deployment, and management of Enterprise NAS solutions like NetApp, Pure Storage, Distributed filesystems like Lustre, and S3 storage.
Background with HPC cluster management tools such as Slurm, PBS, LSF, etc.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and enjoy having fun, then we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- Bachelor’s degree in Computer Science or equivalent experience, with 8 or more years of relevant experience
- Master’s degree with 5 or more years of experience, or Ph.D. with 3 or more years of experience
- Extensive experience building and owning large-scale, multithreaded, distributed backend systems
- Experience designing and building REST APIs in Python or Go
- Experience with containerization and orchestration tools such as Docker and Kubernetes
- Experience with cloud infrastructure such as AWS, Azure, or Google Cloud
- Experience with telemetry stacks including Grafana, Prometheus, AlertManager, and Kibana
- Strong collaboration, communication, guidance, and influence skills in a dynamic matrix environment
- Experience building, debugging, patching, and contributing to open-source software
- Experience solving Linux storage-related problems
- Experience designing, deploying, and managing enterprise NAS solutions such as NetApp and Pure Storage
- Experience with distributed filesystems such as Lustre and S3 storage
- Experience with HPC cluster management tools such as Slurm, PBS, or LSF
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.”
