SWQA Tools Development Engineer

at Nvidia

USD 140,000-270,200 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

.NET @ 4 AI @ 6 API @ 6 Android Angular @ 4 CI/CD @ 6 Claude Code @ 4 Codex @ 4 Communication @ 7 Debugging GitHub @ 4 GitHub Actions @ 6 JavaScript @ 4 Leadership @ 7 Machine Learning Node.js @ 4 Python @ 4 QA @ 4 SQL @ 4 Security @ 6 Technical Leadership @ 7 TypeScript @ 6

Details

We are looking for a full-stack SWQA Tools Development Engineer with experience leading people and projects to join the Certification team. The role focuses on testing and existing A&T for certification programs such as HLK, HDMI/DP, ESXi, and Android CTS, followed by developing AI-driven solutions to improve productivity, tracking, and efficiency across end-to-end workflows. The engineer will own certification programs and manage them across the company and with third-party certification authorities.

Responsibilities

Apply certification kits to test software and hardware features across the development lifecycle, from emulation to production, covering graphics, display, audio, multimedia, USB, hypervisors, and virtual machines.
Develop a detailed understanding of functional and process-related areas in the hardware and functional certification ecosystem.
Own multiple certification programs and lead engineers on a distributed team.
Collaborate with multifunctional teams across the company.
Work with existing UI and automation tools by integrating internal and external APIs.
Formulate and deploy multi-agent systems to optimize workflows and build automated solutions.
Communicate accurate, timely, and effective status updates to management and internal and external partners.
Define and improve processes to support team and company success.
Represent the team in internal meetings, including release planning, bug scrubs, and project status meetings, as well as external meetings with certification authorities and partners.
Engage with development teams when reporting certification bugs and provide debugging information and data points to accelerate resolution.
Promote quality across NVIDIA products and teams.

Requirements

Engineering graduate in Computer Science or equivalent experience.
At least 5 years of experience designing, building, and deploying AI/ML models or automation systems in real projects.
Experience with AI coding assistants or autonomous development agents such as OpenAI Codex, Claude Code, and GitHub Copilot.
Experience automatically identifying and filing bugs to improve QA workflow efficiency.
Full-stack development experience with Angular, JavaScript, Node.js, TypeScript, ASP.NET Core Web API, and IIS Web Hosting.
Experience with Python, C#, SQL, persistent data storage, and queries.
Experience with version control tools such as GitHub and Perforce.
Expertise in GitHub Actions or GitLab CI/CD, including automated validation, security checks, release management, and reliable deployment of production-ready products.
Strong problem-solving skills and the ability to build innovative solutions.
Ability to balance conflicting and changing priorities while working on dynamic schedules.
Strong technical leadership and communication skills.
Proven experience collaborating on global projects across teams and time zones.