Staff CAD Engineer — AI-Driven VLSI Optimization Leader

Qualcomm

Ireland

On-site

EUR 120,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Salary bonus potential
Maternity/Paternity Leave
Employee stock purchase scheme
Matching pension
Education Assistance
Relocation support
Life, Medical, Insurance
Staff clubs

Job summary

QT Technologies Ireland Limited is seeking a technical leader to drive the development of CAD technologies and automation for advanced semiconductor design. You will work across hardware, software, and algorithmic research to deliver scalable solutions using AI, constraint programming, and mathematical optimization.

The role emphasizes mentoring, architectural decisions, and cross-team collaboration to improve throughput and design quality in a global context.

Qualifications

  • Deep expertise in automated reasoning, AI optimization, and constraint solving.
  • Strong background in graph theory and combinatorial optimization.
  • Experience architecting scalable software systems with best practices.
  • Leadership in cross-functional software initiatives across distributed teams.
  • Proficiency in Python with ability to mentor engineers and drive modern practices.

Responsibilities

  • Lead development of CAD technologies, design methodologies, and automation.
  • Architect advanced automated reasoning frameworks for VLSI design challenges.
  • Drive adoption of innovative methodologies to improve productivity and quality.
  • Mentor engineers and guide roadmaps across teams globally.
  • Collaborate across hardware, software, and research domains to translate concepts into production systems.

Skills

Python
C/C++
Algorithm design
Constraint solving
Optimization
Graph theory
Production-grade software
Software architecture

Education

Master's degree
PhD preferred

Tools

Python tooling
CI/CD

Job description

QT Technologies Ireland Limited is seeking a technical leader to drive the development of CAD technologies and automation for advanced semiconductor design. You will work across hardware, software, and algorithmic research to deliver scalable solutions using AI, constraint programming, and mathematical optimization.

The role emphasizes mentoring, architectural decisions, and cross-team collaboration to improve throughput and design quality in a global context.

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