NVIDIA is seeking a Senior Software Engineer to help develop distributed storage services for AI/ML. You will work closely with the broader NVIDIA team to design and build a reliable, scalable, and efficient storage-as-a-service tailored to AI applications that can be deployed anywhere and scale without limitations.
Responsibilities:
- Lead the overall architecture and design of the distributed storage service optimized for AI/ML
- Develop and maintain distributed, robust, and scalable Go programs deployed to state-of-the-art open-source ecosystems, including Kubernetes
- Develop and maintain user-space applications, containers, Go-bindings, and CLI tools
- 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
Requirements:
- Bachelor’s of Science in Computer Science, or related field (or equivalent experience) with 8+ years of industry experience
- Strong background in developing distributed systems involving Golang, Kubernetes, and Cloud Service Provider integrations
- Strong track record of delivering distributed services in a variety of distributed computing environments
- 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
- Experience developing and maintaining enterprise software
- Great communication and presentation skills
Preferred Qualifications:
- Experience architecting, building, and deploying a distributed service that runs on large-scale clusters, multi-petabyte to exabyte in size, with millions of users
- Ownership of all lifecycle stages of software development and delivery
- Passion for innovating and investing in groundbreaking technologies, particularly in accelerated Computing environments such as GPU Direct Storage, DPU, and RDMA
You will also be eligible for equity and benefits.
