Senior CUDA Test Development Software Engineer at NVIDIA

Shenzhen, China

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, HPC, Gaming, AutomotiveIndustries

Requirements

MS or PhD degree from a leading university in computer science or a related field
At least 3 years of relevant professional experience
Excellent QA sense, knowledge, and experience in software testing
Rich experience in test case development, test automation, and failure analysis
Proficient programming and debugging skills in C/C++ and Python
Comprehensive knowledge of Linux and Windows operating systems
Experience in using AI development tools for test plans creation, test cases development, and test cases automation

Responsibilities

Design and implement functional/performance tests for CUDA products, like driver and library
Automate CUDA tests, design test plans, and integrate into automation testing infrastructure
Triage test results, root cause test failures or performance drops, and drive through bugs to fix
Develop scripts/tools and optimize workflow to improve efficiency and productivity

Skills

C/C++

Python

Linux

Windows

CUDA

software testing

test automation

debugging

HPC

AI development tools

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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