Senior ASIC AI Engineer

Nvidia

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $136,000–$218,500 / yr
Posted: 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $212k

This role $177k

$121k most similar roles pay here $273k

This role pays less than 73% of similar roles. Most pay $177,250–$246,150 — the shaded band above. At the midpoint, this role pays about $177k versus about $212k 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 855 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 843 roles with salary data.

Most-posted roles

View all roles at Nvidia

At a glance

TL;DR · Senior ASIC AI Engineer

Apply Now Log in to save

NVIDIA seeks a Senior ASIC AI Engineer to join its innovative team focused on enhancing GPU ASIC design flows through advanced Agentic AI systems. This role involves developing AI methodologies and agents to generate micro-architecture, RTL, and physical designs from specifications, leveraging multi-agent collaboration frameworks for accurate memory system unit designs. The engineer will work closely with architects, hardware engineers, and physical designers to integrate AI workflows into existing processes, driving productivity gains in GPU hardware design. Ideal candidates have a BS or equivalent experience in Electrical Engineering, Computer Engineering, or related fields, along with expertise in AI-driven development, orchestration tools like LangChain, and knowledge of ASIC flow and computer architecture concepts.

Skills

AI LangChain LlamaIndex System Verilog RTL ASIC flow Verification Logic synthesis Timing analysis Computer architecture Caches Arbitration policies Interconnects

What you'll do

Develop AI-powered methodologies for generating micro-architecture, RTL, and physical design from specifications.
Utilize AI agents to process large datasets and existing codebases to create reusable skills.
Evaluate and apply multi-agent collaboration frameworks to generate accurate memory system designs.
Integrate AI workflows into existing GPU hardware design processes to enhance productivity.
Work with architects and engineers to implement area/power/timing/functionally precise designs.

What we're looking for

BS or MS in Electrical/Computer Engineering with 3+ years of relevant experience.
Direct experience developing AI-driven methodologies and agents for hardware design.
Proficiency in AI orchestration tools like LangChain and LlamaIndex.
Expertise in System Verilog, RTL, and hardware description languages.
Strong understanding of ASIC flow including verification and timing analysis.
Knowledge of computer architecture concepts and implementation techniques.
Excellent interpersonal and communication skills for cross-team collaboration.