[Remote] Senior Performance Engineer - DGX Cloud

Note: The job is a remote job and is open to candidates in USA. NVIDIA is hiring a Senior Performance Engineer for its DGX Cloud AI Efficiency Team. The role analyzes and optimizes the performance, efficiency, and resiliency of large-scale AI workloads across compute, networking, storage, and software, partnering with engineering and architecture teams to deliver improvements.

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

Skills

• 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
• Experience analyzing large-scale AI clusters or distributed training and inference workloads
• Experience with CUDA, GPU computing systems, and GPU performance analysis
• Hands-on experience with deep learning frameworks such as PyTorch or JAX/XLA
• Deep understanding of system-level performance analysis, workload characterization, and optimization

Benefits

• Eligible for equity

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