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Senior AI Storage Software Architect

NVIDIA
3 Locations
Full-time
AI tools:
vLLM
NVIDIA NIM
You apply on NVIDIA's own careers site

You’ll define storage software architecture for AI clusters, including interfaces, APIs, and offloads across storage, DPUs, and network products. The role combines workload analysis and hands-on proofs of concept with collaboration across hardware architects, software architects, customers, and partners.

Permanent
On-site
5+ years
BSc, MSc, or PhD in Computer Science or a related discipline

Skills & Expertise

Storage software architecture
AI training and inference workloads
DPUs
NICs
APIs
Storage software stacks
RAG
KV cache

Key Responsibilities

Define storage architecture and software interfaces for AI clusters.

Analyze AI storage workloads and build proofs of concept to optimize them.

Drive storage software and hardware features for next-generation DPUs and NICs.

Full Description

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.

Applications are handled on NVIDIA's site