Senior AI Model Test Developer, SDET

NVIDIA
Shanghai
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 5+ yearsEducation: mastersSkills: ["Problem-solving","Interpersonal skills","Proactive","Self-motivated","Quick learner"]

Execute test cases to validate open-source AI model deployment, inference, and benchmarking on NVIDIA GPUs. Design, implement, and maintain automated tests and the supporting automation infrastructure, partnering with development teams to triage issues, run root-cause analysis, verify fixes, and expand test plans. Use AI capabilities to speed up the QA process, with hands-on model testing and strong Linux-based scripting and engineering practices.

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FursaFursa
NVIDIA
NVIDIA
5 days ago

Senior AI Model Test Developer, SDET

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live

Job Summary

Execute test cases to validate open-source AI model deployment, inference, and benchmarking on NVIDIA GPUs. Design, implement, and maintain automated tests and the supporting automation infrastructure, partnering with development teams to triage issues, run root-cause analysis, verify fixes, and expand test plans. Use AI capabilities to speed up the QA process, with hands-on model testing and strong Linux-based scripting and engineering practices.
Location: Shanghai
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Execute test cases to validate open-source model deployment, inference, and benchmarking on NVIDIA GPU
  • •Design, implement, and maintain automated test cases and supporting automation infrastructure
  • •Collaborate with development teams to triage issues, perform root cause analysis, verify fixes, and define additional tests
  • •Investigate and leverage AI capabilities to accelerate the Quality Assurance (QA) process
  • •Enhance test plans through ongoing testing and validation of model performance and accuracy

Key Requirements

  • •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, including open-source inference runtimes and serving frameworks such as llama.cpp, Ollama, and vLLM
  • •Comfortable working with Linux OS, with strong Shell/Python programming skills
Experience:5+ yearsAIOpen source
Education:Master's in Computer Scienceleading university
Skills:Problem-solvingInterpersonal skillsProactiveSelf-motivatedQuick learner
Languages:English
Tech Stack:LinuxShellPythonLlama.cppOllamaVLLMDockerKubernetesOpenStack

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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