Senior ASIC Methodology Engineer - LPU Division

About NVIDIA

NVIDIA has been a pioneer in computer graphics, PC gaming, and accelerated computing for over 25 years. The company is now harnessing the boundless possibilities of AI to lead computing into a new era, where GPUs serve as the central intelligence for computers, robots, and autonomous vehicles capable of intelligent world understanding. NVIDIA fosters an inclusive and supportive work environment, empowering its employees to deliver exceptional innovation and create lasting global impact.

Role Overview

This position focuses on revolutionizing AI hardware development by creating cutting-edge hardware design methodologies. The successful candidate will spearhead AI-driven automation strategies that transform the conceptualization, exploration, and completion of sophisticated ASIC projects. Collaborating closely with a talented ASIC team, you will design innovative architectures and comprehensive development workflows that exceed traditional practices, enhancing capabilities in logic design, verification, and physical implementation. This opportunity invites you to contribute significantly to the future of AI technology.

Key Responsibilities

• Analyze the entire ASIC development pipeline to identify bottlenecks and areas where AI and automation can boost predictability, convergence, and development speed.
• Manage and utilize real-time data effectively by partnering with infrastructure teams to build secure, scalable data pipelines supporting AI models and analytics.
• Define and apply measurable metrics to evaluate efficiency, quality, and cycle time enhancements; leverage data insights to inform methodology choices and investment priorities.
• Act as a technical leader by disseminating best practices, authoring internal standards, and mentoring engineers on AI-driven development innovations.
• Monitor progress in AI, EDA, and hardware design research; assess new technologies and steer strategic development aligned with long-term product and technology goals.

Candidate Requirements

• A Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent professional experience.
• Over 5 years of relevant industry experience.
• Demonstrated success in developing innovative ASIC design frameworks and workflows.
• Practical experience in RTL coding, functional or formal verification, or physical design is advantageous.
• Proficiency in high-level programming languages such as Python, PERL, Make, and shell scripting.
• Familiarity with AI frameworks and competency in developing agentic flows.
• Excellent communication skills with a reputation as a collaborative and supportive team member.

Compensation and Benefits

NVIDIA is renowned as a top technology employer offering competitive remuneration and comprehensive benefits packages. Base salary depends on location, experience, and comparable roles, ranging from 135,000 to 185,000 CAD for Level 3 and 170,000 to 220,000 CAD for Level 4 positions. Additional eligibility for equity participation and other benefits is provided.

Additional Information

• This vacancy is current and applications will be accepted until July 10, 2026.
• NVIDIA incorporates AI tools in its recruitment procedures.