1 час назад
AI Lead Architect (Silicon Design Execution)
206 400 - 303 250$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
AI Lead Architect (Silicon Design Execution) (AI/hardware design): Leading the transformation of semiconductor design, verification, and implementation workflows through production AI/ML tooling with an accent on EDA expertise, retrieval systems, agentic assistants, and predictive models. Focus on defining AI strategy, building evaluation and data foundations, deploying tools into engineering flows, and driving adoption across hardware teams.
Location: San Jose, California, United States. Shift 1, United States of America. Applicants must be eligible for required U.S. export authorizations.
Salary: $206,400–$303,250 USD annually for the Bay Area California market, plus incentive opportunities.
Company
designs and delivers FPGA and adaptive computing solutions for intelligent systems.
What you will do
- Define and own the AI/ML strategy for hardware design, verification, and implementation.
- Lead the full delivery path from opportunity identification and pilots to validation and production deployment.
- Build AI tooling including retrieval systems, agentic assistants, flow-debug and script-generation tools, and predictive models for quality of results and turnaround time.
- Establish evaluation, benchmarking, versioning, monitoring, and retirement practices for AI tools.
- Partner with CAD, IT, design, verification, DFT, implementation, and EDA teams to develop practical solutions and usable ML data foundations.
- Drive adoption, evaluate vendors, communicate impact to senior stakeholders and customers, and mentor engineering teams without direct management responsibility.
Requirements
- 12+ years of hands-on semiconductor or hardware design, verification, or implementation experience with deep familiarity with EDA tools and flows.
- Demonstrated experience applying AI/ML to real engineering workflows, preferably in chip design, verification, or physical implementation.
- Working proficiency in Python and modern ML/LLM tooling, with hands-on experience in fine-tuning, retrieval-augmented generation, agentic frameworks, or classical ML for EDA data.
- Experience leading technical initiatives and driving adoption across teams without direct management authority.
- Ability to engage senior customers and stakeholders in complex technical discussions, with strong written and verbal communication skills.
- BS, MS, or PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience. Eligibility for required U.S. export authorizations is required.
Nice to have
- Experience in an EDA, semiconductor, FPGA, or ASIC design environment.
- Experience with ML frameworks applied to placement, routing, timing, power, or verification coverage.
- Principal or Distinguished Engineer experience, or an equivalent senior individual-contributor level.
- Direct experience working with customers or external technical partners.
Culture & Benefits
- Incentive opportunities based on individual and company performance.
- Influence-driven role with no direct reports and cross-functional engineering collaboration.
- Work focused on modernizing hardware design through practical AI adoption.
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