7 часов назад
Senior Verification Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Verification Engineer (AI): Building next-generation silicon design verification tools and AI-assisted workflows with an accent on SystemVerilog, UVM, Python automation, and coverage closure. Focus on designing reusable verification frameworks, integrating AI models into design-verification environments, driving tapeout readiness, and translating customer challenges into product features.
Location: Palo Alto Office, United States
Company
develops world models and agents for interacting with the physical world, with a focus on AI-designed electronics systems and semiconductors.
What you will do
- Own verification strategy across multiple IP blocks and subsystems, from testbench architecture through signoff.
- Design AI-assisted workflows to accelerate verification, coverage closure, and debugging.
- Build reusable verification frameworks with SystemVerilog, UVM, Python, and custom automation tooling.
- Integrate AI models into existing design-verification environments in collaboration with ML and software teams.
- Drive tapeout readiness, regression health, quality metrics, and coverage targets.
- Work with customers when needed, contribute to product direction, and mentor junior engineers.
Requirements
- 4–6 years of hands-on verification experience.
- Strong SystemVerilog and UVM skills with proven debugging depth.
- Familiarity with Python or similar scripting languages.
- Interest in applying AI or automation to verification.
- Ability to collaborate across software and ML domains and communicate with clients, architects, and leadership.
- Ability to work from the Palo Alto office.
Nice to have
- Experience with formal verification, co-simulation, or stimulus-generation frameworks.
- Background in ML, LLMs, data pipelines, or tool development.
- Customer-facing or forward-deployed engineering experience.
- Experience building tools adopted by other engineers.
Culture & Benefits
- High ownership over technical decisions, roadmap input, and customer interactions.
- Opportunity to shape AI-guided verification tooling and methodologies.
- Fast-moving environment focused on initiative and building new solutions.
- Exposure to both engineering and product development.
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