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What you’ll be doing:

1. Be responsible for executing test cases to validate NVIDIA enterprise offerings, such as NIM/NeMo/BioNeMo.
2. Design, implement, and maintain automated test cases and the supporting automation infrastructure.
3. Collaborate with development teams to triage issues, perform root cause analysis, verify fixes, define additional tests, and enhance test plans.
4. Investigate and leverage AI capabilities to accelerate the Quality Assurance (QA) process.

What we need to see:
1. MS or PhD degree from a leading university in computer science or relevant
2. 5 years work experience at minimum
3. Fluent oral and written English
4. Comfortable working with Linux OS
5. Good at shell/python programming skills
6. Good QA sense, knowledge, and experience in software testing
7. Experience in using AI development tools for test plans creation, test cases development and test cases automation
8. Great problem-solving skills
9. Good interpersonal skills, quick learner, proactive, innovative, and committed
10.Strongly self-motivated with a passion to learn new hardcore technology
11. Knowledge in LLM and AI models is a plus

Ways to stand out from the crowd:
1. Experience working with NVIDIA GPU hardware is a strong plus
2. Background in parallel programming ideally is a plus
3. Experience with virtualization technologies like Docker, Kubernetes, Openstack
2026-02-23 17:32
IP属地:湖北

职位福利

硕士及以上5-10年团队管理经验架构设计经验Linux开发/部署经验微服务经验接受无前端经验/技能PythonDockerKubernetesPyTorchMySQLRedisPostgreSQL
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英伟达半导体科技(上海)有限公司
已上市 · 5人以上
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