# Deep Learning 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-Performance-Architect_JR2022306?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_d3f0b6b0-137

## Description

NVIDIA is developing processor and system architectures that accelerate deep learning and high-performance computing applications.

We are looking for an expert deep learning system performance architect to join our AI performance modelling, analysis and optimization efforts.

In this position, you will have a chance to work on DL performance modelling, analysis, and optimization on state-of-the-art hardware architectures for various LLM workloads.

**Responsibilities:**

- Analyze state-of-the-art DL networks (LLM etc.), identify and prototype performance opportunities to influence SW and Architecture team for NVIDIA's current and next-gen inference products

- Develop analytical models for state-of-the-art deep learning networks and algorithms to innovate processor and system architectures design for performance and efficiency

- Specify hardware/software configurations and metrics to analyze performance, power, and accuracy in existing and future uni-processor and multiprocessor configurations

- Collaborate across the company to guide the direction of next-gen deep learning HW/SW by working with architecture, software, and product teams

**Requirements:**

- BS, MS or PhD in relevant discipline (CS, EE, Math, etc.) or equivalent experience

- 5+ years work experience

- Experience with popular AI models (e.g., LLM and AIGC models)

- Familiarity with typical deep learning SW frameworks (e.g., Torch/JAX/TensorFlow/TensorRT)

- Knowledge and experience on hardware architectures for deep learning applications

## Skills

### Required
- Deep learning
- Performance modelling
- Hardware architectures
- AI models
- DL networks

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shanghai/Deep-Learning-Performance-Architect_JR2022306?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)