Description
We're seeking a Senior ASIC Methodology Engineer to join our LPU Division. As a key member of our team, you will be responsible for taking a comprehensive view of the ASIC development lifecycle, identifying cross-stage bottlenecks and opportunities where automation and AI can improve predictability, convergence, and turnaround time.
Your primary responsibilities will include:
- Identifying, curating, and leveraging real-time data to enable effective AI models and analytics, working with infrastructure teams to ensure scalable and secure data pipelines.
- Establishing quantitative metrics to measure efficiency, quality, and cycle-time improvements; using data-driven insights to guide methodology decisions and prioritize investments.
- Serving as a technical catalyst within both the team and the wider company by sharing best practices, publishing internal guidelines, and mentoring engineers on emerging AI-enabled development techniques.
- Tracking advances in AI, EDA, and hardware design research, evaluating their applicability and guiding strategic bets that align with long-term product and technology roadmaps.
To be successful in this role, you will need to have a Bachelor's or Master's degree in Computer Science, Computer Engineering, or Electrical Engineering (or equivalent experience). You should also have 5+ years of proven industry experience, a proven track record developing groundbreaking ASIC design frameworks and flows, and first-hand experience with RTL, functional verification, formal verification, or physical design.
In addition, you will need to have high-level programming skills including experience with Python, PERL, Make, and shell scripting, as well as experience with AI frameworks including knowledge of agentic flow development. Standout colleagues with excellent verbal and written communication skills are also essential.