NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.
Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
Are you passionate about brand-new technology and innovation? NVIDIA is seeking a Senior Software QA Infrastructure and Test Development Engineer, SDET, to join our ambitious team. This is your opportunity to work with world-class professionals dedicated to advancing new frontiers in AI and computing!
What you’ll be doing:Architecting, crafting, and implementing SWQA test frameworks and infrastructure to ensure flawless performance.
Developing both backend and frontend components of B/S and C/S applications for QA infrastructure, ensuring robust and comprehensive testing environments.
Testing company-wide frontier AI Agents with associated MCP servers.
What we need to see:
Master or higher degree in Computer Science, Electrical Engineering, or related field, or equivalent experience in practice.
Proven expertise with UNIX/Linux operating systems.
Strong experience with using AI for feature development and automation.
Expertise in Python test frameworks, with the ability to build test frameworks using accurate development patterns.
Skilled in Python, especially with web development frameworks like Django, Flask, or FastAPI.
Demonstrated experience in building enterprise-scale, web-enabled applications.
Proficient in HTML5, CSS3, and JavaScript/TypeScript, with experience in modern front-end frameworks like ReactJS, Vue, or Angular.
Strong leadership skills and ability to work independently.
Proficient in both oral and written English.
A minimum of 3 years of relevant work experience.
Experience with Go or Rust programming languages.
Background in microservices architecture.
Experience with enterprise-level web UX guidelines.
Is capable to build Agentic workflow/MCP Server to improve efficiency with industrial guideline.
Skills Required
- Master's degree in Computer Science, Electrical Engineering, or related field, or equivalent experience
- Proven expertise with UNIX/Linux operating systems
- Strong experience using AI for feature development and automation
- Expertise in Python test frameworks and ability to build test frameworks
- Skilled in Python and web frameworks such as Django, Flask, or FastAPI
- Experience building enterprise-scale, web-enabled applications
- Proficient in HTML5, CSS3, JavaScript/TypeScript and modern front-end frameworks (React, Vue, Angular)
- Strong leadership skills and ability to work independently
- Proficient in oral and written English
- Minimum of 3 years of relevant work experience
- Experience with Go or Rust
- Background in microservices architecture
- Experience with enterprise-level web UX guidelines
- Experience building agentic workflow / MCP Server
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.”
