# CPU Performance Developer Technology Engineer

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

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shenzhen/CPU-Performance-Developer-Technology-Engineer_JR2023977?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_89453cf1-041

## Description

NVIDIA is seeking a highly skilled and motivated CPU Optimization Engineer to join our Compute Developer Technology (Devtech) team.

In this role, you’ll research, design, and implement performance optimization strategies across a broad range of workloads,including AI data preprocessing, scientific and HPC applications, and emerging data-intensive computing domains,on NVIDIA Grace/Vera CPUs.

**Responsibilities:**

- Collaborate with developers, researchers, and framework maintainers across industries to identify and resolve performance challenges in diverse workloads such as AI, data analytics, simulation, and numerical computing.

- Profile, analyze, and optimize CPU performance from application-level algorithms down to low-level microarchitecture.

- Contribute to open-source frameworks, key software stacks, reference implementations, and performance libraries to unlock full CPU potential.

- Work closely with NVIDIA’s architecture, research, libraries, tools, and system software teams to improve our overall platform performance.

- Provide insights that shape next-generation CPU designs, compiler toolchains, and development workflows for better developer productivity and throughput.

**Requirements:**

- BS, MS, or PhD in Computer Science, Computer Engineering, or a related field.

- 5+ years of relevant experience in performance engineering or CPU optimization.

- Strong programming proficiency in C/C++ and/or Python, with a deep understanding of algorithms and software architecture.

- Solid grasp of CPU microarchitecture, performance analysis tools, and optimization methodologies.

- Proven track record of CPU benchmarking and bottleneck-driven performance tuning.

- Excellent communication and organizational skills, with the ability to collaborate effectively across teams and manage multiple priorities.

**Preferred Qualifications:**

- Experience optimizing AI or data preprocessing pipelines on CPUs.

- Familiarity with HPC applications, parallel computing, and distributed runtime environments.

- Hands-on experience with SIMD instruction sets, low-level intrinsics, or vectorization.

- Contributions to open-source performance tools or HPC frameworks.

NVIDIA offers highly competitive salaries, a comprehensive benefits package, and a great company culture.

## Skills

### Required
- C/C++
- Python
- CPU microarchitecture
- performance analysis tools
- optimization methodologies

### Nice to have
- AI data preprocessing
- HPC applications
- parallel computing
- SIMD instruction sets
- low-level intrinsics
- vectorization
- open-source performance tools
- HPC frameworks

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shenzhen/CPU-Performance-Developer-Technology-Engineer_JR2023977?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)