# Senior Deep Learning Solution Architect

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

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Beijing/Senior-Deep-Learning-Solution-Architect_JR2024043?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_b801edc6-f6f

## Description

As a Senior Deep Learning Solution Architect at NVIDIA, you will contribute to bringing new technology into different industries, designing AI computing platforms, and analyzing AI and HPC applications.

**Key Responsibilities:**

- Contribute to open-source inference frameworks like SGLang and vLLM, focusing on feature development, performance optimization, and model support.

- Develop and optimize KV cache offloading frameworks for LLM workloads to improve inference efficiency.

- Drive R&D on compute performance in distributed training and explore performance optimization methods.

- Study computational challenges in machine learning systems and build example code, acceleration libraries, or frameworks.

**Requirements:**

- Master's degree or above in computer science, mathematics, electrical engineering, automation, or related fields.

- Over 5 years of experience in the technology industry.

- Strong interest in accelerated computing, parallel computing, and heterogeneous computing.

- Solid programming skills and understanding of data structures and computer systems fundamentals.

- Strong learning agility, adaptability, and problem-solving skills.

**Preferred Qualifications:**

- Familiarity with heterogeneous computing, distributed training, parallel computing, or high-performance computing.

- Experience in performance analysis, performance modeling, or performance optimization.

- Contributions to open-source frameworks are a plus.

- Strong ability to define new problems and explore solutions.

- Proficiency with AI coding tools.

NVIDIA offers competitive salaries and a generous benefits package.

## Skills

### Required
- accelerated computing
- parallel computing
- heterogeneous computing
- machine learning systems
- performance optimization

### Nice to have
- distributed training
- high-performance computing
- performance analysis
- open-source frameworks
- AI coding tools

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Beijing/Senior-Deep-Learning-Solution-Architect_JR2024043?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)