We are looking for an experienced QA engineer to test our NVIDIA Developer Tools and Libraries. If you need a brief of the products, visit https://developer.nvidia.com/tools-overview. We hope you have experience testing and automating the use of AWS, Azure and other related cloud services, are familiar with docker, k8s and proficient in using Python. If you have experiences or knowledge in applying Agentic AI in coding or automating workflows, that will make you outstanding.
What you’ll be doing:
Develop and implement test plans and test cases for NVIDIA Developer Tools.
Work with development teams to identify and resolve software defects.
Automate test cases using Python and AI based tools.
Apply Agentic AI methodology in the full stack QA tooling.
Work with cloud services such as AWS and Azure.
What we need to see:
Master’s degree in Computer Science or related field.
2+ years of experience in software testing.
Experience with AI development tools used in creating test cases, automating test cases, code coverage, triaging.
Experience with containerization technologies such as Docker and Kubernetes.
Knowledge of ML, DL and GPU is a plus.
If you are passionate about software testing and automation, have a strong background in computer science, and are excited about working with pioneering technology like the NVIDIA Developer Tools, we want to hear from you!We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Skills Required
- Master’s degree in Computer Science or a related field
- 2+ years of experience in software testing
- Experience using AI development tools for test-case creation, test automation, code coverage, and triage
- Experience with Docker and Kubernetes containerization technologies
- Knowledge of machine learning, deep learning, and GPU technologies
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
