# Senior Performance Engineer - DGX Cloud

**Company**: NVIDIA
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Performance-Engineer---DGX-Cloud_JR2022185?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_8ef02d52-c30

## Description

Joining NVIDIA's DGX Cloud AI Efficiency Team means advancing the performance, efficiency, and resiliency of large-scale AI workloads.

You will analyze end-to-end performance of large-scale AI workloads across compute, network, storage, and software stacks.

Your responsibilities will include:

- Designing and executing rigorous performance studies to establish baselines, diagnose regressions, and quantify bottlenecks.

- Defining performance and efficiency evaluation methodologies, benchmarks, and success metrics for AI workloads.

- Using profiling, observability, and data analysis to turn performance measurements into actionable optimization plans.

- Partnering with deep learning engineers, platform teams, and GPU architects to validate and deliver performance improvements.

- Communicating performance findings, tradeoffs, and recommendations clearly to influence system and software design decisions.

To be considered, you will need:

- A 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.

- A solid foundation in operating systems, computer architecture, and distributed systems.

- Experience with performance engineering, benchmarking, profiling, and optimization of complex software or systems.

- The 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, and hands-on experience with deep learning frameworks such as PyTorch or JAX/XLA will be advantageous.

You will also be eligible for equity and benefits.

## Skills

### Required
- C++
- Python
- operating systems
- computer architecture
- distributed systems
- performance engineering
- benchmarking
- profiling
- optimization

### Nice to have
- large-scale AI clusters
- CUDA
- GPU computing systems
- GPU performance analysis
- PyTorch
- JAX/XLA

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Performance-Engineer---DGX-Cloud_JR2022185?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)