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Full-time
postgraduate degree
Posted 41d ago
~40 hrs/week
Responsibilities
Develop and implement AI-powered tools to optimize software testing, including test case generation and defect detection. Collaborate with cross-functional teams to design test plans and execute functional, performance, and reliability testing for cloud-native systems.
Requirements
Requires a Master's or PhD in Computer Science or Engineering with over 5 years of experience in QA and test automation. Proficiency in Python, Linux, and cloud-native technologies like Kubernetes and observability tools is essential.
Full job description
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:
Use and develop AI-powered tools to make software testing smarter, faster, and more effective!
Improve test case generation, defect detection, flaky test analysis, regression testing, and test coverage optimization.
Work with product, engineering, and cross-functional teams to review requirements and define test strategies.
Build test plans, design and execute test cases, and report quality status, risks, bugs, and results.
Perform functional, performance, fault-injection, reliability, and regression testing for cloud-native systems.
Automate test cases and contribute to scalable test frameworks.
Manage the bug lifecycle, reproduce customer issues, and verify fixes.
What we need to see:
MS or PhD in Computer Science, Engineering, or a related field.
5+ years of QA, test automation, or software testing experience.
Hands-on experience using AI tools to improve QA workflows.
Strong QA fundamentals, test strategy, test planning, and failure analysis skills.
Proficiency with Unix/Linux and shell or Python programming.
Experience with Kubernetes, containers, CI/CD pipelines, and cloud-native systems.
Experience testing observability tools such as Prometheus, Grafana, ELK Stack, Datadog, or similar platforms.
Experience with large-scale failure testing, using tools such as KWOK, Chaos Monkey, or similar frameworks.
Strong communication, problem-solving skills, and curiosity for complex technology
Ways to stand out from the crowd:
Used AI to reduce testing time, improve defect detection, or increase test coverage.
Built AI-driven solutions that streamlined QA workflows or reduced manual effort.
Experience with SaaS or PaaS testing.
Experience with NVIDIA GPU hardware or GPU-accelerated software.
We are an equal opportunity employer and welcome applicants from all backgrounds. We provide reasonable accommodations for qualified individuals throughout the application and hiring process.
Related keywords
AI AgentsSDETGPURegression TestingFault-injectionScalable Test FrameworksBug LifecycleKWOKChaos MonkeySaaSPaaSNVIDIA GPUAccelerated ComputingObservabilityCloud-native
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.
Offices: 2701 San Tomas Expressway, Santa Clara, CA 95050, US · No. 8, Ji Hu Rd., Taipei City, Taipei City 114, TW · Nanakramguda, Serilingampally Mandal, Plot # 6A&B, IT Park Layout, RR District, Hyderabad, Telangana 500046, IN · No. 127 Andheri Kurla Road, CNB Square, Mumbai, Village Chakala, Andheri East 400 093, IN · Survey No. 144/145, Samrat Ashok Path, Off Airport Road, Pune, Yerwada 411 006, IN
How many Software jobs are open in Shanghai, China right now?
There are currently 674 open software positions in Shanghai, China listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Software roles in Shanghai, China?
Companies currently hiring include Apple, NVIDIA, DXC Technology, Qualcomm, Bosch, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Software jobs in Shanghai, China?
Yes — 124 of the 674 open software positions offer remote or hybrid work (21 remote, 103 hybrid).
How do I apply for Software jobs in Shanghai, China?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.