We are seeking an QA engineer to join our SW/FW testing team. This position will be part of our growing team, which enables NVIDIA products to meet the industry-leading benchmarks of efficiency and quality. We develop a collaborative and inclusive work environment, where ideas are shared and innovation is encouraged.
As a QA Engineer in this group, you will be immersed in the latest advancements and actively contribute to developing world-class products. Your efforts will directly impact the performance and quality of our offerings, ensuring they consistently meet industry-leading standards. We are looking for an ideal candidate with proven QA experience who will be actively involved in testing industry-leading features in the Networking sector, can acquire new feature knowledge, conduct both manual and automated tests, and contribute to the development of automation systems. The ideal candidate should bring a robust understanding for SW release cycle and the QA part in it.
What you'll be doing:
Review arch design and requirements documents for new features introduced in several domains like NVLINK Fusion, VR, NVIDIA GPUs and more.
Design and execute comprehensive test plans for both initial releases and ongoing firmware updates.
Develop and maintain automated frameworks expanding existing infrastructure with new capabilities to improve coverage, stability, and efficiency.
Report bugs found during execution, assist with reproduction and debugs to understand root cause, verify bug fixes provided by R&D team, and raise if not fixed.
Conduct tests in various areas, including regression, performance, functional, and security. Keep track of testing progress and generate summary reports of testing activities.
Work multi-functionally with teams such as R&D, product marketing, and system verification to ensure high-quality, production-ready deliverables.
Define and build setups topologies for appropriate product coverage.
What we need to see:
Practical / BSc in Computer Science or Electrical/Electronics Engineering from a recognized academic institution.
Well familiarity with QA methodologies, Test design, Bug prioritization, SW release workflows
Clear verbal and written communication, proficient in written and spoken English.
Self-reliant individual, capable of planning and carrying out tasks within their assigned area.
Personal: good interpersonal skills, quick learner, proactive, innovative, highly motivated, and committed.
Ways to stand out from the crowd:
Proven experience in QA - methodologies, and test design.
Working in fast-paced environment with multiple parallel running activities.
Experience with release management, V&V, E2E testing.
Knowledge/experience in Networking protocols.
Scripting skills and proven experience in Python or other programming languages and knowledge of Linux/Windows OS
Skills Required
- BSc in Computer Science or Electrical/Electronics Engineering
- Experience with QA methodologies and test design
- Clear verbal and written communication skills
- Proficiency in English, both written and spoken
- Experience with Networking protocols and scripting in Python
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.”
