Asic Methodology Engineer - New College Grad 2026

NVIDIA NVIDIA · Semiconductors · Toronto, ON

This role focuses on inventing and pioneering AI-driven automation techniques to transform ASIC development methodology, improving predictability, convergence, and turnaround time. The engineer will identify bottlenecks, curate data for AI models, establish metrics, share best practices, and track advances in AI and hardware design research.

What you'd actually do

  1. Take 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.
  2. Identify, curate, and leverage real-time data to enable effective AI models and analytics, working with infrastructure teams to ensure scalable and secure data pipelines.
  3. Establish quantitative metrics to measure efficiency, quality, and cycle-time improvements; use data-driven insights to guide methodology decisions and prioritize investments.
  4. Serve 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.
  5. Track advances in AI, EDA, and hardware design research, evaluating their applicability and guiding strategic bets that align with long-term product and technology roadmaps.

Skills

Required

  • Bachelor's or Master's degree in Computer Science, Computer Engineering, or Electrical Engineering (or equivalent experience).
  • Programming experience with Python, PERL, Make, and shell scripting.
  • Experience with AI frameworks including knowledge of agentic flow development.
  • Standout colleague with excellent verbal and written communication skills.

Nice to have

  • First-hand industry experience with RTL, functional verification, formal verification, or physical design would be an asset.

What the JD emphasized

  • AI-driven hardware development methodology
  • AI-driven development techniques

Other signals

  • AI-driven hardware development methodology
  • pioneer AI-driven and sophisticated automation techniques
  • invent novel architectures and end-to-end workflows