We are looking for someone to be passionate about quality assurance. You’ll collaborate with multi-functional groups. Senior SWQA Test Development Engineers at NVIDIA aren't only manual testers, you write scripts to automate testing or build tools for QA team, so we can improve productivities or optimize test plan. We'd like to see your ability to identify weak spots and constantly craft better and creative test plans to break software and identify potential issues. You'll have a huge impact on the quality of NVIDIA's enterprise product.
What You’ll Be Doing
- Utilizing AI-powered tools to enhance QA efficiency, including automating test case generation, defect detection, and regression testing.
- Implementing AI-driven solutions to optimize test coverage and identify high-risk areas in software systems.
- Collaborating with cross-functional teams to adopt AI tools that improve workflow automation and reduce manual effort.
- Work closely with multi-functional teams to understand the test requirements and take ownership of product quality.
- Develop test plans, design test cases, complete testing via automation and/or manually and compose test reports.
- Build and maintain our complicated test environments.
- Manage bug lifecycle and co-work with inter-groups to drive for solutions.
- You will assist in the architecture, crafting and implementing of SWQA test frameworks.
- Report bugs found during execution, assist with reproduction and debugs to understand root cause, verify bug fixes provided by R&D team, raise if not fixed.
- Experience in using AI development tools. Adept at creating detailed test cases, automating them, increasing code coverage, identifying valid bugs early on, and solving these bugs swiftly.
What We Need To See
- BS or higher degree or equivalent experience in CS/EE/CE or equivalent with 5+ years QA experience in Telecom industry.
- Experience using AI tools for QA tasks
- Familiarity with AI-powered testing frameworks and platforms that improve process efficiency
- Strong understanding of QA methodologies and the ability to integrate AI tools into existing workflow.
Ways To Stand Out From The Crowd
- You have a thirst and ability to learn and adapt to new technologies
- Background with working with NVIDIA GPU and/or DPU hardware is a strong plus
- Experience in using or managing cloud technologies like Kubernetes, OpenStack and Docker
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 212,750 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until July 29, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
JR2000177
