AI-Augmented RTL Design Automation Engineer

Eliyan; Toronto; On-site; CAD 120,000 - 160,000; Full time

Job summary

Eliyan is hiring for an AI-augmented design flows engineer to own the Jenkins-based CI/CD for RTL quality across multiple design programs. You will implement an AI layer to triage lint/CDC noise, generate automated, pre-annotated pull requests, and drive release-ready evidence with dashboards.

You will work onsite Monday to Friday in Canada/US regions, focusing on scalable automation and guardrails for reliable tapeouts.

Qualifications

• BS or MS in Electrical/Computer Engineering or related field.
• 3+ years building automation, CI/CD, or tooling in hardware/EDA.
• Strong Python, Tcl, shell scripting; Linux and Makefiles mastery.
• Hands-on Jenkins or GitLab/GitHub CI with pipeline debugging experience.
• Understanding of RTL front-end flow and SystemVerilog for viola­tion triage.
• Experience with LLM APIs or agent frameworks applied to tooling.
• Excellent technical writing; eligible to work in US/Canada.

Responsibilities

• Own Jenkins-based RTL quality CI across lint/CDC/elaboration/synthesis/STA.
• Build automated gating and handoff evidence for releases.
• Create per-project QoR dashboards and track regressions.
• Develop AI-augmented tooling: triage, PRs with filtered violations, and diff-based checks.

Skills

Python

Tcl

Shell scripting

Git

Linux

Makefiles

Jenkins

CI/CD tooling

SystemVerilog

LLM APIs

Technical writing

Education

BS in Electrical Engineering

MS in Electrical Engineering

Related field (CS/CE)

Tools

Synopsys VCS

Verdi

PrimeTime

Design Compiler

Cadence Genus

Spyglass

Questa

JasperGold

Job description

Eliyan is hiring for an AI-augmented design flows engineer to own the Jenkins-based CI/CD for RTL quality across multiple design programs. You will implement an AI layer to triage lint/CDC noise, generate automated, pre-annotated pull requests, and drive release-ready evidence with dashboards.

You will work onsite Monday to Friday in Canada/US regions, focusing on scalable automation and guardrails for reliable tapeouts.