16 hours ago
Shanghai, ChinaSenior
Responsibilities
- Architect, implement, and evolve scalable agentic end-to-end software quality assurance workflows, automated test frameworks, infrastructure, and tooling.
- Define test strategy and quality gates for functional, integration, regression, reliability, and release-validation workflows.
- Build and maintain automated test coverage for Linux-based, containerized, and Kubernetes environments.
- Investigate failures across software, infrastructure, networking, and deployment layers and collaborate on bug-fix pull requests.
- Establish quality metrics, improve test-result signal-to-noise, and use data to prioritize engineering investment.
- Develop reusable tooling and AI-assisted workflows that improve testing quality or developer productivity.
- Provide code reviews, design reviews, documentation, and mentorship.
- Own ambiguous cross-functional quality problems and deliver durable solutions.
Requirements
- 5+ years of experience in infrastructure software development or test development.
- Strong Python programming skills and the ability to write clean, maintainable, well-tested code.
- Hands-on experience designing end-to-end software quality assurance workflows and automation frameworks.
- Practical experience using AI tools to improve test development or debugging.
- Strong Linux expertise and experience testing software deployed with Docker and Kubernetes.
- Understanding of risk-based testing, testability, observability, regression strategy, and release criteria.
- Familiarity with bare-metal infrastructure and provisioning or networking technologies such as BMC/Redfish, PXE, DPUs, or TCP/IP.
- Ability to debug failures spanning services, infrastructure, networking, and deployment configuration.
- Demonstrated technical ownership and communication skills for aligning stakeholders, delivering solutions, and measuring outcomes.
- An MS or PhD in computer science or a related field is preferred.
- Experience creating or significantly improving multi-team test platforms, reducing release risk or validation effort, building AI-assisted or agentic QA workflows, or validating distributed infrastructure is preferred.
- Experience with BlueField DPUs, Redfish, firmware management, or bare-metal provisioning is preferred.
Benefits
- Highly competitive salaries and an extensive benefits package are offered.
- The work environment promotes diversity, inclusion, and flexibility.
Tech Stack
Categories
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.