NVIDIA has continuously reinvented itself over two decades. Our 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. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities which are hard to solve, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human inventiveness and intelligence.
We are looking for inquisitive and driven full-time software engineers with a strong interest in building high-quality, long-lasting systems. The VLSI Productivity and Infrastructure team supports hundreds of chip design engineers by building internal tools and platforms that supercharge their everyday work. From build automation to machine learning, databases to web applications, and on-prem compute to cloud workloads, this team handles it all.
What you will be doing:
Design and develop innovative AI-driven web products to solve big data challenges in chip design. Build high performance API's, data pipelines, backend services and platform infrastructure in a distributed systems environment.
Own technical strategy for broad and complex challenges. Collaborate closely with product and engineering teams to translate high-level requirements into actionable solutions.
An engineering generalist that navigates comfortably between frontend, backend and product challenges. Discover and develop the skills needed at different times to solve the problems at hand.
What we need to see:
Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
6+ years of professional experience in full-stack development.
Strong fundamentals in data structures, algorithms and software design patterns.
Experience building web apps with modern frameworks, tooling and design libraries (ReactJS preferred).
Experience building scalable API’s and backend systems (NodeJS and/or Python preferred).
Experience with data storage solutions and query optimization approaches (e.g. MySQL, MongoDB, Elasticsearch, AWS S3, etc.).
Familiar with orchestration, containerization, CI/CD and observability methodologies.
Ways to stand out from the crowd:
Thrives in a fast-paced setting where priorities shift and shipping quickly matters.
A passion for test-driven development and engineering best practices.
An eye for designing functional and intuitive user experiences.
A zeal to learn and perform beyond prior experience and expertise.
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).
- 6+ years of professional experience in full-stack development.
- Strong fundamentals in data structures, algorithms and software design patterns.
- Experience building web applications with modern frameworks, tooling and design libraries.
- Experience with ReactJS.
- Experience building scalable APIs and backend systems.
- Experience with NodeJS and/or Python.
- Experience with data storage solutions and query optimization (e.g., MySQL, MongoDB, Elasticsearch, AWS S3).
- Familiarity with orchestration, containerization, CI/CD and observability 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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