Senior Performance Engineer - DGX Cloud

NVIDIA AI; Hyderabad; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

NVIDIA is seeking a Senior Performance Engineer to characterize and optimize large-scale AI workloads within the DGX Cloud AI Efficiency Team. You will analyze end-to-end performance across compute, network, storage and software, establish baselines, and drive optimizations from investigation through deployment.

You will collaborate with deep learning engineers, platform teams, and GPU architects, translating measurements into actionable decisions and communicating findings to influence system

Qualifications

• BS or higher in CS/CE or related field.
• 12+ years of C++ and Python with automation workflows.
• Strong OS, architecture, and distributed systems knowledge.
• Experience in performance engineering, benchmarking, profiling, and optimization.
• Ability to communicate findings and align across teams.

Responsibilities

• Analyze end-to-end performance of large-scale AI workloads across compute, network, storage, and software stacks.
• Design 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

C++

Python

Performance engineering

Profiling

Operating systems

Distributed systems

Communication

Education

BS/MS in CS/CE or related

Tools

CUDA

Profiling tools

Job description

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.

Full time

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.