# Deep Learning Kernel Software Performance Architect

**Company**: NVIDIA
**Location**: Shanghai
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shanghai/Deep-Learning-Kernel-Software-Performance-Architect_JR2020693-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_14d77df6-511

## Description

NVIDIA is seeking a Deep Learning Kernel Software Performance Architect to optimize GPU kernel performance for state-of-the-art data-center platforms.

You will build automated, data-driven workflows to detect, explain, and prevent performance regressions across key deep learning workloads, partnering closely with kernel developers, compiler teams, infrastructure, and architecture/performance groups.

**Responsibilities:**

- Performance analysis, optimization, and debugging:

- Analyze performance of GPU-accelerated kernels and key deep learning building blocks

- Identify gaps with baselines or projections and optimize kernel performance to fill gaps

- Debug performance issues end-to-end

- Automation and regression infrastructure (Python-heavy):

- Develop and maintain Python-based automation for performance testing and analysis

- Design and operate performance test workflows

- Cross-team collaboration and operating model:

- Work with kernel developers and compiler teams to ensure performance checks are practical and scalable

- Collaborate with chip architecture and modeling teams to solidify performance methodology

- Partner with SWQA and infrastructure teams for execution at scale and reliable pipelines/dashboards

**Requirements:**

- Master's or Ph.D. degree or equivalent experience in Computer Science, Computer Engineering, Applied Math, or related field

- Strong programming ability in Python and C/C++ with 2+ years of working experience

- Solid fundamentals in computer architecture, parallel programming, and performance reasoning

- Experience with performance analysis workflows

- Comfortable working across teams and driving issues to decision/closure with clear communication

**Nice to Have:**

- Experience with high-performance kernels or math libraries

- GPU programming and performance experience

- Strong ML/DL workload understanding

- Familiarity with simulators or analytical modeling

## Skills

### Required
- Python
- C/C++
- Computer Architecture
- Parallel Programming
- Performance Analysis

### Nice to have
- GPU Programming
- Machine Learning
- Deep Learning
- High-Performance Kernels

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shanghai/Deep-Learning-Kernel-Software-Performance-Architect_JR2020693-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)