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.
We are looking for talented Software Engineers to work on developing and deploying an AI agent that leverages machine learning models to solve complex problems in VLSI design. The ideal candidate will have a strong background in computer science, electrical engineering, or a related field, with experience in machine learning, deep learning, and software development. The successful candidate will work closely with our team of experts in VLSI design, machine learning, and software engineering to create and integrate machine learning-based solutions that enhance the efficiency, productivity, and quality of our VLSI design flows.
What you will be doing:
Create and integrate AI agents to enhance the efficiency, productivity, and quality of VLSI design flows.
Collaborate on the design and implementation of algorithms and models that can optimize VLSI design processes.
Contribute to the development of software tools and frameworks that support the integration of AI in VLSI design.
Analyze and interpret data to identify patterns and insights that can inform the development of AI-driven design methodologies.
Stay ahead of the latest advancements in machine learning, deep learning, and VLSI build to continuously improve our solutions.
What We Need to See:
BS/MS/PhD in Computer Science, Electrical/Computer Engineering, or a related field (or equivalent experience).
6+ years of experience building AI-driven software systems, ideally applied to complex engineering workflows.
Strong programming skills in Python, with experience developing production-quality systems.
Demonstrated experience designing and applying AI agents or learning-based decision systems (e.g., RL, planning, LLM-based agents) to optimize processes.
Proficiency with modern ML frameworks (PyTorch, TensorFlow) and data-driven model development.
Strong problem-solving and collaboration skills, with the ability to translate complex design challenges into agent-driven solutions.
Ways to stand out from the crowd:
Experience with Large Language Models (LLMs) and their applications in software and AI development
Proficiency in standard methodologies for software development, including version control, testing, and CI/CD.
Deeply interested in learning disparate concepts and putting them together in innovative new ways
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
- BS/MS/PhD in Computer Science, Electrical/Computer Engineering, or a related field (or equivalent experience).
- 6+ years of experience building AI-driven software systems, ideally applied to complex engineering workflows.
- Strong programming skills in Python with experience developing production-quality systems.
- Demonstrated experience designing and applying AI agents or learning-based decision systems (e.g., RL, planning, LLM-based agents).
- Proficiency with modern ML frameworks (PyTorch, TensorFlow) and data-driven model development.
- Strong problem-solving and collaboration skills; ability to translate complex design challenges into agent-driven solutions.
- Experience with Large Language Models (LLMs) and their applications.
- Proficiency in software development methodologies including version control, testing, and CI/CD.
- Interest in learning disparate concepts and integrating them innovatively.
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.”
