NVIDIA is seeking experienced software engineers to enhance its AI Infrastructure, focusing on cluster operations and GPU resource scheduling. The role involves working within the DGX Cloud team to develop scalable GPU clusters for various AI workloads. Candidates should be innovative thinkers with a strong execution bias, ready to tackle challenges and improve systems. This position offers the opportunity to contribute to cutting-edge infrastructure solutions in the AI computing era.

• 5+ years of experience in a software engineering role within a highly technical organization.
• A Bachelor's degree in Computer Science, Engineering, Physics, Mathematics, or a comparable degree.
• Direct experience with large-scale production systems and common software engineering principles.
• Technical knowledge in systems programming languages such as Go or Python.
• Strong communication skills and the ability to work effectively with multi-functional teams.

• Design and develop a massively distributed scalable platform for identifying and remediating non-performant GPU assets.
• Collaborate with teams across NVIDIA to ensure production AI clusters operate reliably and efficiently.
• Evaluate system failures and enhance services based on a defined incident management process.
• Contribute to the development of large scalable GPU clusters for various AI workloads.

• 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.