NVIDIA is looking for a Senior Distributed Storage Engineer to join the DGX Cloud team. You will develop distributed storage services tailored for AI/ML applications, crafting a reliable, scalable, and efficient storage-as-a-service solution that can be deployed anywhere.

What You'll Do

Lead the overall architecture and design of our distributed storage service optimized for AI/ML.
Build features for a distributed storage service to enhance availability and reliability for large-scale deployments.
Engage and collaborate with NVIDIA Research, Computing, Product teams, cross-functional teams, and external customers to deliver Cloud services.
Automate distributed storage service end-to-end, including deployment, management, and monitoring.

What We're Looking For

Strong track record of delivering distributed services in a variety of distributed computing environments.
Experience designing, implementing, and operating distributed systems at a multi-petabyte scale.
Experience in implementing storage services and interfaces to ensure scalable, high-performance, and reliable solutions.
History of ownership of product delivery from inception to support.
Great communication and presentation skills.
Prior experience developing distributed systems with Kubernetes, Golang, Python, and Cloud Service Provider integrations.
Bachelor’s of Science in Computer Science, or related field (or equivalent experience) with 5+ years of industry experience.

Nice to Have

Architected, built, and deployed a distributed service that runs on large-scale clusters, multi-petabyte to exabyte in size, with millions of users.
Experience and own responsibility for all software development and delivery stages.
Passionate about innovating and investing in groundbreaking technologies and interested in working with accelerated Computing environments such as GPU Direct Storage, DPU, and RDMA.
Skilled in building and delivering cloud services, with a specific focus on distributed systems.