# Senior AI Infrastructure Test Development Engineer

**Company**: NVIDIA
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shanghai/Senior-AI-Infra-Test-Development-Engineer--SDET_JR2027720?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_69e1d78a-716

## Description

NVIDIA is seeking a Senior AI Infrastructure Test Development Engineer to craft a distributed technology for remote management of resources. The ideal candidate will have strong programming skills and hands-on experience using AI development tools.

**What you'll be doing:**

- Architect, implement, and evolve scalable agentic end-to-end SWQA workflow, automated test frameworks, infrastructure, and tooling for complex software products.

- Define test strategy and quality gates across functional, integration, regression, reliability, and release-validation workflows.

- Build and maintain high-value automated coverage for Linux-based, containerized, and Kubernetes environments.

- Investigate difficult failures across software stacks; isolate root causes and work directly with development teams through resolution with proposed bug fix PRs.

- Establish meaningful quality metrics, improve signal-to-noise in test results, and use data to prioritize engineering investment.

- Drive automation efficiency through well-engineered tooling, reusable frameworks, and AI-assisted workflows where they demonstrably improve quality or developer productivity.

- Raise the technical capability of the wider team through code reviews, design reviews, documentation, and mentorship.

- Take ownership of ambiguous, cross-functional quality problems and deliver durable solutions,not just test execution.

**What we need to see:**

- 5+ years of experience in infrastructure software development or test development. An MS or PhD in computer science or a related field is preferred.

- Strong Python programming skills, with the ability to write clean, maintainable, well-tested code.

- Hands-on experience designing end-to-end SWQA workflows and automation frameworks, including practical use of AI tools to improve test development or debugging.

- Strong Linux expertise and experience testing software deployed with Docker and Kubernetes.

- A solid understanding of risk-based testing, testability, observability, regression strategy, and release criteria.

- Familiarity with bare-metal infrastructure and some provisioning or networking technologies, such as BMC/Redfish, PXE, DPUs, or TCP/IP.

- The ability to debug multi-layer failures spanning services, infrastructure, networking, and deployment configuration.

- Demonstrated technical ownership and the communication skills to align stakeholders, deliver solutions, and measure outcomes.

**Ways to stand out from the crowd:**

- Created or significantly improved a test platform used by multiple teams or products.

- Reduced release risk, escaped defects, test runtime, or manual validation effort through measurable engineering improvements.

- Built and owned an AI-assisted or agentic SWQA workflow that improved coverage or efficiency.

- Validated distributed or large-scale infrastructure under realistic failure conditions.

- Hands-on experience with BlueField DPUs, Redfish, firmware management, or bare-metal provisioning.

## Skills

### Required
- Python
- Linux
- Docker
- Kubernetes
- AI development tools
- automation frameworks
- test development
- debugging

### Nice to have
- BlueField DPUs
- Redfish
- firmware management
- bare-metal provisioning

---

Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shanghai/Senior-AI-Infra-Test-Development-Engineer--SDET_JR2027720?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)