AI-Powered ASIC Design Automation Engineer (On-site)

Eliyan; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

On-site in Bay Area / Vancouver / TO

Job summary

Eliyan is seeking an engineer to own the Jenkins-based design flow and add an AI layer to triage lint and CDC, reducing manual review across RTL, CDC, and synthesis. You will build dashboards and automated PRs that arrive pre-organized for review.

This on-site role in the Bay Area or Canada requires hands-on tooling experience, strong Python, and experience with LLM APIs to enable reliable gatekeeping before tapeout.

Qualifications

• BS or MS in Electrical Engineering, Computer Engineering, Computer Science or related field.
• 3+ years building automation, CI/CD, or tooling in hardware/EDA environments.
• Strong Python, Tcl, shell scripting, Git, Linux, and Makefiles.
• Hands-on Jenkins or GitLab/GitHub CI with pipeline rearchitecture experience.
• Familiarity with RTL front-end flow and SystemVerilog for reading lint/CDC outputs.
• Experience with LLM APIs or agent frameworks applied to real tooling.
• Ability to work on-site in the Bay Area, Vancouver, or Toronto; US/Canada work authorization.

Responsibilities

• Own the Jenkins-based CI for RTL quality across lint, CDC, RDC, elaboration, synthesis, and STA.
• Build automated gating and handoff evidence so promotions become a button.
• Create per-project QoR dashboards to surface regressions and root causes.
• Develop front-end release methodology and cross-team gating plus waiver management.

Skills

Python

CI/CD tooling

Shell scripting

Git

SystemVerilog

Makefiles

LLM APIs

Technical writing

Education

BS or MS in Electrical Engineering, Computer Engineering, Computer Science

Tools

Jenkins

GitHub Actions

GitLab CI

EDA tooling (lint/CDC)

Job description

Eliyan is seeking an engineer to own the Jenkins-based design flow and add an AI layer to triage lint and CDC, reducing manual review across RTL, CDC, and synthesis. You will build dashboards and automated PRs that arrive pre-organized for review.

This on-site role in the Bay Area or Canada requires hands-on tooling experience, strong Python, and experience with LLM APIs to enable reliable gatekeeping before tapeout.