Telecom Lifecycle Engineer focusing on lifecycle assessments and maintenance for telecom equipment. Collaborating with teams to optimize performance and resolve issues for Alberta's utility sector.
About the role
- Senior ASIC Methodology Engineer at NVIDIA redefining AI hardware development methodology. Pioneering novel architectures and workflows in ASIC development.
Responsibilities
- 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.
- 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.
- Establish quantitative metrics to measure efficiency, quality, and cycle-time improvements; use data-driven insights to guide methodology decisions and prioritize investments.
- 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.
- 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.
Requirements
- Bachelor's or Master's degree in Computer Science, Computer Engineering, or Electrical Engineering (or equivalent experience).
- 5+ years of proven industry experience.
- A proven track record developing groundbreaking ASIC design frameworks and flows.
- First-hand experience with RTL, functional verification, formal verification, or physical design would be an asset.
- High-level programming skills including 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.
Benefits
- Equity and benefits
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