Applied AI Engineer - VLSI Design
About the role
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.
Responsibilities
- 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.
- 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.
Requirements
- 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.
Qualifications
- 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.
Skills
- Python programming.
- Data structures, algorithms, and software engineering principles.
- Large language models and their applications.
- Multi-agent systems and RAG pipelines.
- Vector databases and retrieval mechanisms.
Benefits
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 here.
Pay
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 - $218,500 for Level 3, and $168,000 - $264,500 for Level 4.
Schedule
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.