NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

What you’ll be doing:

• Be responsible for executing test cases to validate open-source model deployment, inference, and benchmarking on NVIDIA GPU.

• Design, implement, and maintain automated test cases and the supporting automation infrastructure.

• Collaborate with development teams to triage issues, perform root cause analysis, verify fixes, define additional tests, and enhance test plans.

• Investigate and leverage AI capabilities to accelerate the Quality Assurance (QA) process.

What we need to see:

• MS or PhD in Computer Science or a related field, from a leading university

• 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 with model testing — accuracy, performance, or benchmarking evaluation of AI models

• Experience in using AI development tools for test plans creation, test cases development and test cases automation

• Comfortable working with Linux OS, with strong Shell/Python programming skills

• Good QA sense, knowledge, and experience in software development and testing

• Strong problem-solving and interpersonal skills; a proactive, self-motivated quick learner with a passion for new technology

Ways to stand out from the crowd:

• Experience working with NVIDIA GPU is a strong plus

• Background in parallel programming ideally is a plus

• Experience with virtualization technologies like Docker, Kubernetes, or OpenStack

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.