Senior RTL Optimization Engineer for AI-EDA Platforms

Google Inc.; Zürich; Vor Ort; CHF 150.000 - 210.000; Vollzeit

Zusammenfassung

Google DeepMind is seeking a Senior Software Engineer for RTL Optimization to design, develop, and optimize software tools that enhance RTL generation and speed up hardware synthesis and EDA workflows. You will collaborate with hardware architects, compiler engineers, and ML researchers to bridge high-level models with optimized RTL.

The role requires strong software engineering foundations and experience across RTL, EDA, and production-grade tooling, with opportunities to influence AI-driven

Qualifikationen

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience in software development with data structures/algorithms.

Aufgaben

• Design, develop, and optimize software tools to improve the quality of generated RTL and accelerate hardware compilation and EDA workflows.
• Profile, identify, and resolve performance bottlenecks in software tools to speed up optimization and synthesis cycles.
• Collaborate with hardware architects, compiler engineers, and ML researchers to bridge high-level representations and highly optimized RTL.
• Develop robust automation scripts and software libraries to streamline RTL generation and optimization workflows.
• Work with product engineering teams to bring the software tools to production quality.

Kenntnisse

Software development

Data structures and algorithms

Hardware design

Ausbildung

Bachelor’s degree or equivalent

Master’s or PhD in Computer Science or related field

Tools

EDA tools

Jobbeschreibung

Google DeepMind is seeking a Senior Software Engineer for RTL Optimization to design, develop, and optimize software tools that enhance RTL generation and speed up hardware synthesis and EDA workflows. You will collaborate with hardware architects, compiler engineers, and ML researchers to bridge high-level models with optimized RTL.

The role requires strong software engineering foundations and experience across RTL, EDA, and production-grade tooling, with opportunities to influence AI-driven