Senior Distributed Software Engineer, Golang - DGX Cloud

NVIDIA develops technologies in artificial intelligence, high-performance computing, and visualization. The company is seeking a Senior Software Engineer to design and build reliable, scalable distributed storage services for AI/ML applications, including Go programs, user-space applications, containers, bindings, and CLI tools. The role also involves improving service availability and reliability, collaborating across teams and with customers, and automating deployment, management, and monitoring.

Responsibilities:

• Leading the overall architecture and design of our 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
• Building features for a distributed storage service to enhance availability and reliability for large-scale deployments
• Engaging and collaborating with NVIDIA Research, Computing, Product teams, cross-functional teams, and external customers to deliver Cloud services
• Automating 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
• Experience deploying, managing, and debugging applications in a Kubernetes environment
• Great communication and presentation skills
• You have architected, built, and deployed a distributed service that runs on large-scale clusters, multi-petabyte to exabyte in size, with millions of users
• You have owned responsibility for all lifecycle stages of software development and delivery
• Passionate about innovating and investing in groundbreaking technologies and interested in working with accelerated Computing environments such as GPU Direct Storage, DPU, and RDMA
• You are skilled in building and delivering cloud services, with a specific focus on distributed systems