NVIDIA

4 months ago

Senior ASIC Methodology Engineer - LPU Division

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Senior ASIC Methodology Engineer responsible for redefining AI hardware development methodology by pioneering AI-driven automation, data-driven decision making, and scalable pipelines across the ASIC development lifecycle. Collaborates with ASIC teams to improve convergence and turnaround time, mentor engineers, and track AI/EDA/hardware research to align with long-term product roadmaps.

Location: Canada

Workplace: Remote

Employment Type: Full time

Job Function: Hardware, Embedded & Systems Engineering

Key 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.

Pay and Benefits

Salary: CAD 135,000 - 185,000 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•Bachelor's or Master’s degree in Computer Science, Computer Engineering, or Electrical Engineering (or equivalent experience)
•5+ years of proven industry experience
•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 Python, PERL, Make, and shell scripting

Experience:5+ yearsSemiconductorAI hardwareASIC

Education:Bachelor's

Skills:CommunicationMentoringProblem-solving

Tech Stack:PythonPERLMakeShell scriptingRTLFunctional verificationFormal verificationPhysical designAI frameworks

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

4 months ago

Senior ASIC Methodology Engineer - LPU Division

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Canada

Workplace: Remote

Employment Type: Full time

Job Function: Hardware, Embedded & Systems Engineering

Key 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.

Pay and Benefits

Salary: CAD 135,000 - 185,000 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•Bachelor's or Master’s degree in Computer Science, Computer Engineering, or Electrical Engineering (or equivalent experience)
•5+ years of proven industry experience
•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 Python, PERL, Make, and shell scripting

Experience:5+ yearsSemiconductorAI hardwareASIC

Education:Bachelor's

Skills:CommunicationMentoringProblem-solving

Tech Stack:PythonPERLMakeShell scriptingRTLFunctional verificationFormal verificationPhysical designAI frameworks

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor