NVIDIA is seeking engineers to enhance its AI Infrastructure, focusing on automating GPU asset management and improving datacenter operations. The role involves collaborating with multi-functional teams to ensure seamless integration of software from hardware to AI applications. Candidates should be innovative thinkers who thrive in a challenging environment. The position offers opportunities to work on large-scale Machine Learning systems and contribute to the next era of AI computing.

• 10+ years of software engineering experience on large-scale production systems.
• A BS in Computer Science, Engineering, Physics, Mathematics, or a comparable degree or equivalent experience.
• Expert level knowledge of a systems programming language such as Go or Python.
• Solid understanding of Data Structures and Algorithms.
• Expert level knowledge of Linux system administration and management.
• Understanding of cluster management systems like Kubernetes or SLURM.
• Understanding of performance, security, and reliability in complex distributed systems.

• Contribute to the automation of GPU asset provisioning, configuration, and lifecycle management across cloud providers.
• Implement monitoring and health management capabilities for GPU assets.
• Work on software that manages NVLINK topography across GPU clusters.
• Build automated test infrastructure to qualify distributed systems for operation.
• Collaborate with engineering teams across NVIDIA to ensure seamless software integration.
• Innovate and discover new problems and solutions in AI infrastructure.

• 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.