2 months ago
Shanghai, ChinaSenior
Responsibilities
- Execute test cases for open-source model deployment, inference, and benchmarking on NVIDIA GPUs.
- Design, implement, and maintain automated test cases and supporting test automation infrastructure.
- Collaborate with development teams to triage issues, perform root cause analysis, verify fixes, define additional tests, and improve test plans.
- Investigate and use AI capabilities to accelerate the Quality Assurance process.
Requirements
- MS or PhD in Computer Science or a related field.
- 5+ years of relevant work experience.
- Fluent oral and written English.
- Knowledge of LLMs and local AI applications, with familiarity with open-source inference runtimes and serving frameworks such as llama.cpp, Ollama, and vLLM.
- Experience testing AI models for accuracy, performance, or benchmarking evaluation.
- Experience using AI development tools to create test plans, develop test cases, and automate testing.
- Comfortable working with Linux and strong Shell/Python programming skills.
- Good QA knowledge and experience in software development and testing.
- Strong problem-solving and interpersonal skills, with a proactive, self-motivated approach and passion for new technology.
- Experience with NVIDIA GPUs is preferred.
- Background in parallel programming is preferred.
- Experience with Docker, Kubernetes, or OpenStack is preferred.
Benefits
- NVIDIA offers competitive salaries and a comprehensive benefits package.
- NVIDIA provides benefits for employees and their families.
- NVIDIA is committed to a diverse and equal-opportunity work environment.
Tech Stack
Categories
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.