Senior Performance Engineer - DGX Cloud

NVIDIA is hiring a Senior Performance Engineer - DGX Cloud in Bengaluru, India. Level rates it ; you can apply on NVIDIA.

Level's read on this job

Builds AI ●●●● is how Level rates this role: the job is building AI systems.
The posting mentions PyTorch, JAX and C among its tools and skills.
Level classes it as a senior role.
NVIDIA has 2,700+ other open roles on Level.

AI in this role

Analyze and optimize large-scale AI workloads and distributed training performance across DGX Cloud infrastructure.

PyTorchJAXCPythonCUDA

performance-engineeringdistributed-systemsbenchmarkingprofiling

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.

How we rate this

Senior Performance Engineer - DGX Cloud at NVIDIA rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior Performance Engineer - DGX Cloud is an open job at NVIDIA.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in India, Bengaluru.
The job was posted on September 1, 2026.
Seniority: senior.
Applications are handled by NVIDIA. Apply on NVIDIA

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Performance EngineeringDistributed SystemsBenchmarkingProfilingPyTorchJAXCPython

Questions you could be asked

Tell me about a project where performance engineering was part of your work. What did you do?
Tell me about a project where distributed systems was part of your work. What did you do?
Tell me about a project where benchmarking was part of your work. What did you do?
Tell me about a project where profiling was part of your work. What did you do?
Walk me through how you've used PyTorch in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Performance Engineering, Distributed Systems, Benchmarking, Profiling, and PyTorch. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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