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NVIDIA

Senior AI Model Test Developer, SDET

NVIDIA is hiring a Senior AI Model Test Developer, SDET in Shanghai, China. Level rates it ; you can apply on NVIDIA.

Level's read on this job

  • Level rates this role Builds AI ●●●●: the job is building AI systems.
  • Tools and skills the posting cites include Llama, Ollama and vLLM.
  • Level classifies it as a senior role.
  • Level lists 2,700+ other open roles at NVIDIA.

AI in this role

Lead open-source model deployment, inference testing, and benchmarking on NVIDIA GPUs as a senior AI model test developer.

LlamaOllamavLLMLlama CppDockerKubernetesOpenstackPythonLinux
model-testingsdetinference-benchmarkingllm-deploymentqa-automation

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.

How we rate this

Senior AI Model Test Developer, SDET at NVIDIA rates 80 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Model TestingSdetInference BenchmarkingLLM DeploymentQa AutomationLlamaOllamavLLM

Questions you could be asked

  1. Tell me about a project where model testing was part of your work. What did you do?
  2. Tell me about a project where sdet was part of your work. What did you do?
  3. Tell me about a project where inference benchmarking was part of your work. What did you do?
  4. Tell me about a project where llm deployment was part of your work. What did you do?
  5. Tell me about a project where qa automation was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Model Testing, Sdet, Inference Benchmarking, LLM Deployment, and Qa Automation. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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