NVIDIA is seeking a QA Engineer to join our Cloud Testing team. As part of the broader QA organization, you’ll focus on testing the software layer that enables NVIDIA’s products to achieve industry-leading benchmarks in performance and quality. This role involves hands-on testing of cutting-edge cloud and networking features, learning new technologies, and contributing to both manual and automated validation efforts.
What You’ll Be Doing:
Design, develop, and execute test plans for new features across software and update releases
Identify and report bugs, assist in reproducing issues, and collaborate with R&D to isolate root causes and validate fixes
Perform a variety of tests including functional, regression, performance, and security testing
Analyze network flows and debug issues through log and system analysis
Develop automation scripts and contribute to building scalable test infrastructures
What We Need to See:
Practical Engineer / BA / BSc in Computer Science or a related field
1–3 years of relevant work experience
Proficiency in scripting and automation languages such as Python, PyTest, or Bash
Strong hands-on experience with Linux systems
Ability to work independently, take ownership, and execute tasks effectively
Willingness and availability to work with physical lab setups
Strong verbal and written communication skills in English
Ways to Stand Out from the Crowd:
Experience with containerized environments (Docker, Kubernetes)
Familiarity with DevOps practices and CI/CD pipelines using Jenkins or GitLab
Understanding and experience with Agile and Scrum methodologies
A collaborative team player with a proactive and leadership-oriented mindset
NVIDIA is widely recognized as one of the most desirable employers in the tech industry, with a reputation for innovation and excellence. You’ll be working alongside some of the most forward-thinking and dedicated professionals in the field. If you're passionate, driven, and thrive in an autonomous environment — we want to hear from you.
NVIDIA is an equal opportunity employer and is committed to fostering a diverse and inclusive workplace. We welcome applicants of all backgrounds and do not discriminate based on race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, disability, or any other legally protected status.
Skills Required
- Practical Engineer, Bachelor of Arts, or Bachelor of Science degree in Computer Science or a related field
- 1-3 years of relevant work experience
- Proficiency in scripting and automation languages such as Python, PyTest, or Bash
- Strong hands-on experience with Linux systems
- Ability to work independently, take ownership, and execute tasks effectively
- Willingness and availability to work with physical lab setups
- Strong verbal and written communication skills in English
- Experience with Docker and Kubernetes
- Familiarity with DevOps practices and CI/CD pipelines using Jenkins or GitLab
- Understanding and experience with Agile and Scrum methodologies
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.”
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