Agentic AI Verification Engineer – Pre-Silicon

Cadence Design Systems; San Jose (CA); On-site; USD 154,000 - 286,000; Full time

Benefits offered by this job

Paid vacation

401(k) with employer match

Employee stock purchase plan

Medical, dental and vision plans

And more

Job summary

Cadence Design Systems in California seeks a results-driven Pre-Silicon Verification Engineer with a passion for AI-enabled verification. You will work on the ChipStack AI Super Agent team in San Jose, partnering with ML and software engineers to design and validate next-generation verification methodologies and achieve significant productivity gains.

The role focuses on formal and UVM-based verification, leveraging LLMs and ML tech to accelerate pre-silicon processes, while collaborating with

Qualifications

• BS/MS/PhD with strong verification background
• 10+ years experience for BS pathway or 5+ years for PhD/MS pathway
• Experience with pre-silicon verification: Formal, SV/UVM, OVM

Responsibilities

• Contribute to applying ML techniques to streamline pre-silicon verification methods.
• Develop agentic AI solutions using LLMs to accelerate pre-silicon design verification.
• Use AI-enhanced EDA tools to improve design and verification lifecycles.
• Engage with customers to understand requirements and deliver novel verification strategies.
• Collaborate with ML and software teams to validate output correctness and quality.
• Stay updated on advances in AI-powered hardware verification and share knowledge internally.

Skills

Verilog

SystemVerilog

Python

Debugging

Tools

Jasper

Xcelium

IMC

Job description

Cadence Design Systems in California seeks a results-driven Pre-Silicon Verification Engineer with a passion for AI-enabled verification. You will work on the ChipStack AI Super Agent team in San Jose, partnering with ML and software engineers to design and validate next-generation verification methodologies and achieve significant productivity gains.

The role focuses on formal and UVM-based verification, leveraging LLMs and ML tech to accelerate pre-silicon processes, while collaborating with