We are looking for a Storage Software Architect to join the architecture group. You will be part of a team that shapes the next generation of storage for AI: training, inferencing, KV cache, RAG and more. Utilizing the best from NVIDIA's network products, DPUs and NICs, working closely with hardware architects, SW architects and external customers, defines the programming interfaces, protocols and management. We have crafted a team of extraordinary people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform of tomorrow. At NVIDIA, we work, think and learn as a team. We thrive in a deeply strong environment and we're passionate about a culture that demands innovation and the highest standards. The rewards are sweet and include collaborating with some of the smartest people in the industry, an aggressive compensation plan that rewards top performers, and the opportunity to work on products that transform the way people work and play.
What you’ll be doing:
Define how storage for AI clusters should look like
Research and analyze AI storage workloads, POC ways to optimize them
Design the storage SW stack for AI, APIs, and offloads
Lead hands-on POCs
Drive HW features to next generation of DPUs and NICs
What we need to see:
B.Sc., M.Sc. or Ph.D. in Computer Science or related discipline
5+ years of experience in a storage company as senior developer or an architect
Experience with AI applications, training and inference, KV cache, RAG, vLLM, NIMs, etc
Ability to quickly adapt to new technology and go deep into new areas
Can work independently
Strong communication skills
Able to work with customers and partners
Drive new solutions based on any issues that arise
NVIDIA has continuously reinvented itself over two decades. 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. This is our life’s work — to amplify human imagination and intelligence.
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us and, due to extraordinary growth, our elite engineering teams are fast-growing fast. If you're a creative and autonomous manager with a sincere real passion for technology, we want to hear from you.
Skills Required
- B.Sc., M.Sc. or Ph.D. in Computer Science or related discipline
- 5+ years of experience in a storage company as senior developer or architect
- Experience with AI applications: training, inference, KV cache, RAG, vLLM, NIMs
- Ability to quickly adapt to new technology and go deep into new areas
- Able to work independently
- Strong communication skills
- Able to work with customers and partners
- Drive new solutions based on issues that arise
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.”
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