Senior Software Test Development Engineer - Deep Learning at NVIDIA

Shanghai, Shanghai, China -

Full Time

Start Date

Immediate

Expiry Date

03 Jun, 26

Salary

0.0

Posted On

05 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Test Development, Deep Learning, AI Software, GPU Infrastructure, Test Automation, Test Plan Design, Bug Lifecycle Management, CI/CD, UNIX/Linux, Python, Virtualization, Docker, Kubernetes, Microcontroller Programming, Inference Models, CUDA

Industry

Computer Hardware Manufacturing

Description

We are looking for a Software Test development engineer in NVIDIA’s AI SWQA team. The position is in NVIDIA AI Software Quality Assurance team that defines, develops and performs tests to validate robustness and measure the performance of NVIDIA‘s AI software and GPU Infrastructure for autonomous driving, healthcare, speech recognition, natural language processing, and a wide variety of other AI scenarios. This team collaborates with multiple AI product teams to develop new products; derive and improve complex test plans; and improve our workflow processes for a diverse range of GPU computing platforms. You should grow with being in the critical path supporting developers working for billion-dollar business lines as well as intimately understanding the values of responsiveness, thoroughness and teamwork. You should constantly foster and implement efficiency improvements across your domain. Join the team which is building software which will be used by the entire world! What you’ll be doing: Work closely with global cross-functional teams to understand the test requirements and take ownership of product quality. Plan/design/execute/report/automate test plan/test case/test reports. Manage bug lifecycle and co-work with inter-groups to drive for solutions. Automate test cases and assist in the architecture, implementing/enabling test for CI/CD. In-house repro and verify customer issues/fixes. What we need to see: Master or higher degree in computer science or similar. 5+ years of software quality assurance or test automation background with knowledge of test infrastructure and strong analysis skills. UNIX/Linux administrator and troubleshooting experience Good Python software development or test development skillset. Be familiar with python CI/CD pipeline development Direct development experience in AI tools/products or using AI for major features Good QA experience in external devices (like camera) and robotic ultrasound applications Good user/development experience of virtualization like VM & Docker container & k8s Excellent English written and oral communication skills. Microcontroller programming / developing backgroud Proven success in leveraging AI tools to significantly improve efficiency, streamline workflows or enhance process automation. Ways to stand out from the crowd: Experience in using AI to automate/implement QA end-to-end workflow Familiarity with NVIDIA GPU hardware products (Tesla, Tegra, DGX, etc.). Understanding and working knowledge with any Deep Learning Frameworks and Inference models. Has basic knowledge of low latency inference Working knowledge of CUDA libraries for Deep Learning like cuDNN and TRT-LLM NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

Responsibilities

The role involves taking ownership of product quality by collaborating with global cross-functional teams to understand test requirements, and planning, designing, executing, reporting, and automating test plans and cases. Responsibilities also include managing the bug lifecycle, driving solutions with inter-groups, automating test cases for CI/CD, and verifying customer issues.