Applied AI Engineer, VLSI Design

Nvidia

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Santa Clara, CA
Salary
$136,000–$218,500 / yr
Employment
Full-time
Posted
71 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $197k
This role $177k
$124k $247k
below market most similar roles pay here above market

This role pays less than 67% of similar roles. Most pay $167,375–$227,500 — the blue band above. At the midpoint, this role pays about $177k versus about $197k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Applied AI Engineer, VLSI Design

JOB TITLE: Applied AI Engineer - VLSI Design The Applied AI Engineer - VLSI Design joins the custom RAM design team to develop and deploy AI agents that leverage machine learning models to solve complex problems in VLSI design. The role involves designing and building infrastructure for LLM-powered engineering assistants, multi-turn multi-modal dialogue systems, and agentic AI solutions integrated with CAD flow systems. Key responsibilities include building design databases and dashboards using agentic and deterministic retrieval mechanisms to expedite circuit design closure. The position requires proficiency in Python, data structures, algorithms, and software engineering principles. Candidates must have experience fine-tuning large language models, building multi-agent systems, RAG pipelines, and vector databases. This role addresses the technical challenge of enhancing the efficiency, productivity, and quality of VLSI design flows through innovative AI technologies.

What you'll do

  • Design, develop, and deploy AI applications using LLMs and agentic frameworks.
  • Build infrastructure to deploy LLM-powered solutions for engineering assistants and multi-modal dialogue systems.
  • Develop agentic AI solutions to solve complex VLSI engineering problems.
  • Fine-tune and integrate machine learning models with existing CAD flow systems.
  • Build and maintain design databases and dashboards using agentic and deterministic retrieval mechanisms.
  • Use AI technologies to improve the efficiency and quality of chip design flows.

What we're looking for

  • 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.
  • Proficiency in standard methodologies for software development, including version control, testing, and CI/CD (preferred).
  • Prior experience with circuit design or hardware design (preferred).

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