Senior Software Engineer, Distributed Systems Engineer - DGX Cloud

Job Description

NVIDIA is seeking experienced software engineers with Kubernetes experience to scale up its AI Infrastructure, working on large scalable GPU clusters for a variety of AI workloads.

Requirements

• BS in Computer Science, Engineering, Physics, Mathematics, or equivalent experience
• 5+ years of experience in a similar role on large-scale production systems
• Experience with Kubernetes APIs and frameworks
• Strong communication skills and ability to work with multi-functional teams
• Technical knowledge in a systems programming language (Go, Python) and data structures/algorithms

Responsibilities

• Develop custom software for scheduling GPU resources on Kubernetes
• Implement monitoring and health management for GPU assets
• Ensure production AI clusters run reliably and with maximum performance
• Evaluate system failures and improve services based on incident management process

Benefits

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.