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About the Role

Advancing the performance, efficiency, and resiliency of large-scale AI workloads by understanding end-to-end behavior across GPUs, networking, storage, and software stacks. This role will shape scalable DGX Cloud systems and drive optimizations for AI workloads.

Responsibilities

• 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.

Requirements

• BS or higher degree in computer science, computer engineering, or a related field (or equivalent experience).
• 12+ years of experience in strong programming skills in C++ and Python, with the ability to build reliable analysis and automation workflows.
• 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, prioritize high-impact work, and build alignment across teams.

Skills

• C++
• Python
• Performance engineering
• Benchmarking
• Profiling
• Optimization
• Operating systems
• Computer architecture
• Distributed systems
• CUDA
• GPU computing systems
• GPU performance analysis
• Deep learning frameworks (PyTorch, JAX/XLA)
• System-level performance analysis
• Workload characterization

Experience Level

• Senior

Education Level

• BS or higher degree in computer science, computer engineering, or a related field (or equivalent experience)

Salary/Compensations

• 224,000 USD - 356,500 USD for Level 5
• 272,000 USD - 431,250 USD for Level 6

Benefits

• Equity
• Benefits

About the Company

• NVIDIA leads the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization.
• The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services.
• Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions, from artificial intelligence to autonomous cars.
• NVIDIA is looking for exceptional people like you to help us accelerate the next wave of artificial intelligence.

Equal Opportunity

• NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer.
• As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.