Applied AI Engineer - VLSI Design
AI summary of the role
Join NVIDIA's custom RAM design team to develop and deploy AI agents that leverage LLMs and machine learning to solve complex VLSI design problems.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Design, develop, and deploy AI applications using LLMs and agentic frameworks.
- Build infrastructure for LLM-powered engineering assistants and multi-turn, multi-modal dialogue systems.
- Develop agentic AI solutions to solve complex VLSI engineering problems and integrate with CAD flow systems.
- Build and maintain design databases and dashboards using agentic and deterministic retrieval mechanisms.
What you’ll bring
- Master's or PhD in Electrical Engineering, Computer Science/Engineering or equivalent.
- 5+ years of proven industry experience in a related field.
- Proficiency in rapid prototyping using Python with strong data structures, algorithms, and software engineering principles.
- Experience fine-tuning large language models, building multi-agent systems, RAG pipelines, and vector databases.
Technologies
LLMs · Agentic frameworks · Python · RAG pipelines · vector databases · CAD flow · VLSI design · multi-modal dialogue systems · CI/CD
About NVIDIA
Designs and manufactures GPUs and system-on-chips powering data centers, AI workloads, gaming, autonomous vehicles, and HPC. The foundational hardware for modern deep learning.
Public
Source and classification
Internal deployment & tooling · Evidence for this classification:
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
More from the 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 s [... source excerpt omitted ...] 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 usin [... source excerpt omitted ...] ur 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, na
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