Applied AI Engineer - VLSI Design

NVIDIA; Santa Clara (CA); On-site; USD 136,000 - 218,500; Full time

Benefits offered by this job

Comprehensive benefits package

Equity options

Competitive salaries

Job summary

NVIDIA is looking for dedicated Software Engineers to join its custom RAM design team in Santa Clara, California. This role will involve developing AI applications and deploying machine learning models to address complex problems in VLSI design.

The ideal candidate will have a Master's or PhD in Electrical Engineering or Computer Science, with over 5 years of relevant experience. Candidates are expected to have strong skills in Python and machine learning applications. NVIDIA offers competitive salaries and a comprehensive benefits package.

Qualifications

• 5+ years of industry experience in related fields.
• Proficiency in rapid prototyping using Python.
• Experience with fine-tuning large language models.

Responsibilities

• Develop and deploy AI applications using LLMs.
• Design infrastructure for LLM-powered solutions.
• Collaborate with circuit design and layout teams.

Skills

Machine learning

Deep learning

Software development

Python

Data structures

Algorithms

Education

Master's or PhD in Electrical Engineering or Computer Science

Tools

Python

Multi-agent systems

Vector databases

Job description

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/

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.

Applications for this job will be accepted at least until June 6, 2026.

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.