The Senior Performance Engineer will join NVIDIA's DGX Cloud AI Efficiency Team, focusing on enhancing the performance, efficiency, and resiliency of large-scale AI workloads. This role involves analyzing end-to-end performance across various systems and collaborating with deep learning engineers and GPU architects. The engineer will establish performance baselines, diagnose bottlenecks, and drive optimizations to improve AI workload performance. This position is crucial for shaping scalable DGX Cloud systems and influencing engineering decisions.

• BS or higher degree in computer science, computer engineering, or a related field or equivalent experience.
• 12+ years of experience with strong programming skills in C++ and Python.
• Solid foundation in operating systems, computer architecture, and distributed systems.
• Experience with performance engineering, benchmarking, profiling, and optimization of complex software or systems.
• Ability to communicate technical findings and prioritize high-impact work.

• Analyze end-to-end performance of large-scale AI workloads across compute, network, storage, and software stacks.
• Design and execute rigorous performance studies to establish baselines, diagnose regressions, and quantify bottlenecks.
• Define performance and efficiency evaluation methodologies, benchmarks, and success metrics for AI workloads.
• Use profiling, observability, and data analysis to turn performance measurements into actionable optimization plans.
• Partner with deep learning engineers, platform teams, and GPU architects to validate and deliver performance improvements.
• Communicate performance findings, tradeoffs, and recommendations clearly to influence system and software design decisions.

• 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.