Our System Product Engineering team is looking for a SW engineer to design and develop the backend and tooling infrastructure supporting the test and validation of next-generation networking systems. This position plays a key role in building the software systems and services that enable effective, scalable, and automated validation, helping our test teams deliver high-quality products quickly and efficiently.
What you’ll be doing:
Design and implement infrastructure and backend services to support test execution, test management, and reporting across multiple platforms and teams
Develop automation tools, pipelines, and interfaces to streamline validation workflows and data handling
Collaborate with validation engineers to understand testing needs and translate them into reliable, scalable software solutions
Contribute to improving system reliability, maintainability, and observability of infrastructure components
Support CI/CD integration for validation processes and services
What we need to see:
Bachelor's or Master’s degree in Computer Science, Software Engineering, or a related field
5+ years of experience in software development and infrastructure or tooling roles
Proficiency in Python, Java and familiarity with Django, react, or other web frameworks
Experience with database design and usage
Familiarity with Linux environments and system services
Strong debugging and problem-solving skills
Experience working with version control systems
Ways to stand out from the crowd:
Experience building internal tools or platforms for validation or QA teams
Background in system architecture for test execution, including resource management and scheduling
Understanding of hardware validation pipelines or embedded systems testing
Strong communication skills and ability to work in a cross-functional environment
At NVIDIA, you’ll engage with team members who are dedicated to exploring new ideas and driving innovation forward. Our infrastructure team plays a central role in enabling fast and reliable validation for innovative networking products. If you're passionate about building systems that empower others to work better, faster, and smarter — we want to hear from you!
Skills Required
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
- 5+ years of experience in software development and infrastructure or tooling roles
- Proficiency in Python and Java
- Familiarity with Django, React, or other web frameworks
- Experience with database design and usage
- Familiarity with Linux environments and system services
- Strong debugging and problem-solving skills
- Experience working with version control systems
- Experience building internal tools or platforms for validation or QA teams
- Background in system architecture for test execution, including resource management and scheduling
- Understanding of hardware validation pipelines or embedded systems testing
- Strong communication skills and ability to work in a cross-functional environment
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.”
