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.
Join NVIDIA's custom RAM design team, where we are pushing the boundaries of memory technology to power the next generation of AI and accelerated computing. Our team operates at the intersection of innovative circuit design and scalable CAD infrastructure, tackling some of the most complex memory design challenges in the industry. We are looking for dedicated Software Engineers to work on developing and deploying AI agents that leverage machine learning models to solve complex problems in VLSI design. The ideal candidate will have a strong background in computer science, electrical engineering, or 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'll be doing:
Play a key role in design, development, and deployment of AI applications using LLMs, internal and external Agentic frameworks, and other related technologies.
Drive impact by designing and building the needed infrastructure to deploy LLM-powered solutions for engineering assistants and multi-turn, multi-modal dialogue systems.
Develop agentic AI solutions that help solve complex VLSI engineering problems, fine tune & integrate them with CAD flow systems.
Make a difference by using AI technologies to help solve complex problems in chip design more efficiently.
Build and maintain design databases and dashboards that may use agentic and deterministic retrieval mechanisms to fetch pertinent engineering data expediting circuit design closure.
Collaborate with circuit design, layout, technology, and 3rd party EDA vendor teams distributed across geographies and time zones.
What we need to see:
Master's or PhD degree in Electrical Engineering, Computer Science/Engineering or equivalent experience.
5+ years of proven industry experience in a related field.
Proficiency in rapid prototyping using Python with strong foundational knowledge of data structures, algorithms, and software engineering principles.
Experience with fine-tuning large language models, building advanced multi-agent systems, RAG pipelines and vector databases.
Strong analytical, communication, and interpersonal skills, with a proven ability to thrive in dynamic, product-focused, and distributed teams.
A proactive approach to problem-solving and a willingness to acquire new skills and knowledge as needed to achieve results.
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.
Prior experience with circuit design, HW design is a plus.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.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
- Master's or PhD degree in Electrical Engineering, Computer Science/Engineering or equivalent experience
- 5+ years of proven industry experience in a related field
- Proficiency in rapid prototyping using Python with strong foundational knowledge of data structures, algorithms, and software engineering principles
- Experience with fine-tuning large language models, building advanced multi-agent systems, RAG pipelines and vector databases
- Strong analytical, communication, and interpersonal skills
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.”
