Senior Performance Engineer - DGX Cloud

NVIDIA Corporation; Hyderabad; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

NVIDIA Corporation in Hyderabad, India seeks a Senior Performance Engineer to characterize workloads and drive optimizations across GPUs, networking, storage, and software stacks. You will establish performance baselines, diagnose bottlenecks, and influence design decisions for scalable DGX Cloud AI efficiency.

You will collaborate with deep learning engineers, platform teams, and GPU architects, communicating findings clearly and prioritizing high-impact improvements across complex systems.

Qualifications

• BS or higher in CS/CE or related field.
• 12+ years of programming experience in C++ and Python.
• Solid foundation in operating systems, computer architecture, and distributed systems.
• Experience with performance engineering, benchmarking, profiling, and optimization.
• Ability to communicate technical findings and align across teams.

Responsibilities

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

Skills

C++

Python

Performance engineering

Profiling

Benchmarking

Distributed systems

Operating systems

Communication

Education

BS in CS or related field

Tools

CUDA

PyTorch

JAX/XLA

GPU performance analysis

Job description

Joining NVIDIA's DGX Cloud AI Efficiency Team means advancing the performance, efficiency, and resiliency of large-scale AI workloads. We help AI researchers and platform teams understand end-to-end behavior across GPUs, networking, storage, and software stacks. We are seeking a Senior Performance Engineer to characterize workloads, establish performance baselines, diagnose bottlenecks, and drive optimizations from investigation through deployment. Your work will shape scalable DGX Cloud systems, turn complex measurements into prioritized engineering decisions, and continuously raise the performance and reliability of AI workloads. Join our technically diverse team of infrastructure experts to unlock more efficient AI at scale.

What you'll be doing:

• 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.

What we need to see:

• 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.

Ways to stand out from the crowd:

• 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.

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. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.