Own Jenkins-based RTL quality and release-promotion pipelines across lint, CDC, RDC, synthesis, and STA. Build QoR tracking, automated quality gates, waiver management, and evidence generation. Develop LLM-driven tooling to triage violations, create annotated pull requests, check spec-to-RTL consistency, and generate documentation. The role requires strong Python, hardware-flow knowledge, CI/CD expertise, and practical LLM integration experience. It is fully onsite Monday through Friday in the Bay Area, Vancouver, or Toronto.
Lint / CDC / Synthesis Quality -- AI-Augmented Design Flows - CI/CD for RTL
On-Site Monday-Friday - Bay Area, CA / Vancouver, BC / Toronto, ON
Full-Time - Equity Participation - Comprehensive Benefits
Eliyan is the chiplet interconnect pioneer behind NuLink, the industry's most efficient chiplet-to-chiplet PHY technology. With Series C funding from leading hyperscalers and AI infrastructure providers, we are scaling our digital design organization to support multiple concurrent IP programs across advanced process nodes.
Here is the honest version of this job. Our digital designers spend part of every week doing work a machine should be doing: re-running lint and CDC by hand, reading thousands of violations to find the twenty that matter, chasing down which synthesis run regressed QoR, and manually assembling the evidence that a branch is clean enough to promote to release.
We are looking for an engineer who can own the intersection of design quality and design automation. In this role you will define and enforce signoff criteria for lint, CDC, and synthesis across all active programs, build the waiver management and tracking infrastructure, and develop AI-augmented tooling that turns thousands of tool violations into actionable, designer-ready reviews. You will report into the digital design team and work directly alongside RTL designers — this is not a pure DevOps or IT role.
- Define and maintain lint, CDC, and synthesis elaboration signoff criteria across all active design programs.
- Build and own the waiver management system — structured flow with owner attribution, justification, expiration, and audit trail.
- Analyze synthesis results for area, timing, and power regressions; trace QoR anomalies to specific RTL changes.
- Collaborate with project design leads to develop and maintain project-specific rule decks, synthesis constraints, and signoff checklists.
- Own the Jenkins-based CI pipeline for RTL quality: lint, CDC, RDC, elaboration, synthesis, and STA.
- Build the dev-to-release promotion pipeline with automated gating, clean-run qualification, and handoff evidence generation.
- Develop per-project dashboards for QoR tracking, regression visibility, and release readiness.
- Develop LLM-based violation triage pipelines that classify lint and CDC output, suppress known-benign patterns, and surface real issues with context.
- Build automated pull requests with violations pre-filtered, grouped, and annotated for designer review.
- Implement spec-to-RTL consistency checking and CI-integrated documentation generation using LLM-driven pipelines.
- Benchmark AI output quality, measure false-negative rates, and establish guardrails the design team can trust.
KEY RESPONSIBILITIES
Design Quality & Signoff
Flow Automation and CIC
AI-Augmented Tooling
- BS or MS in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
- 3+ years in ASIC or SoC design automation, with hands-on experience running and analyzing lint, CDC, or synthesis tools.
- Working knowledge of SystemVerilog and the RTL front-end flow — able to read violations, assess severity, and disposition findings.
- Proficiency in Python, Tcl, shell scripting, Git, Linux, and Makefiles.
- Experience building and maintaining CI/CD pipelines (Jenkins, GitLab CI, or GitHub Actions).
- Practical experience with LLM APIs or agent frameworks (e.g., Anthropic Claude, OpenAI) applied in a production or team-facing context.
- Authorization to work in the United States or Canada; visa sponsorship may be considered for exceptional candidates.
- On-site Monday through Friday at our Bay Area, Vancouver, or Toronto office.
WHAT YOU'LL BRING
- Experience with industry-standard EDA tools such as Synopsys SpyGlass, Design Compiler, PrimeTime; Cadence Genus, Conformal; or Siemens Questa.
- Experience building waiver management systems, violation databases, or design quality dashboards.
- Background in data engineering or ML systems: evaluation harnesses, retrieval pipelines, or production inference.
- Exposure to PHY, SerDes, die-to-die interconnect, or chiplet-based SoC design.
- Open-source contributions to design automation, hardware verification, or developer tooling.
PREFERRED QUALIFICATIONS
Eliyan Corporation Santa Clara, California, USA Office
Santa Clara, California, United States
Similar Jobs
.png)
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
Leads Square’s US Business Development Representative organization through managers and frontline teams. Owns pipeline generation strategy, operating cadence, performance management, forecasting, capacity planning, outbound execution, and sales technology improvements. Coaches managers, develops BDR talent, hires and retains staff, and partners with Sales, Marketing, Revenue Operations, Enablement, Analytics, and Strategy to improve funnel conversion and revenue contribution. Uses data, automation, AI, and prospecting tools to improve productivity and scale successful programs.
Top Skills:
Artificial IntelligenceAutomationCRMData EnrichmentGongLookerOutreachSales Engagement ToolsSalesforceSalesloft
.png){kind=logo}
AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
Leads prop art production for an interactive AAA entertainment project, overseeing asset creation, quality, scalability, pipelines, and integration across city dressing, interiors, vehicles, and UGC. Manages and mentors prop artists, collaborates with environment, lighting, technical art, and production teams, and coordinates with external development partners. Ensures assets meet artistic direction, technical constraints, milestone requirements, and platform needs from high-end to mobile.
Top Skills:
Unreal Engine
AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
Leads vegetation art for an interactive entertainment experience, defining quality standards and scalable systems for trees, plants, ground cover, and ecosystems. Collaborates with environment, procedural, technical art, Houdini, lighting, and production teams to develop pipelines, tools, workflows, and world-building strategies. Ensures vegetation meets artistic, technical, scalability, and performance requirements across high-end and mobile platforms, while guiding biome direction, reviewing content, and addressing production risks.
Top Skills:
HoudiniSpeedtreeUnreal Engine
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
