Senior RTL Optimization Engineer for AI-Driven EDA

Google Switzerland; Zürich; Vor Ort; CHF 180.000 - 240.000; Vollzeit

Zusammenfassung

Google DeepMind in Zürich is seeking an experienced Software Engineer to design, develop, and optimize tools for RTL generation and hardware compilation within EDA workflows. You will create scalable software and robust automation that accelerates hardware synthesis and testing across 2D/3D environments.

Collaborating with hardware architects, compiler engineers, and ML researchers, you will bridge high-level representations to optimized RTL, delivering production-ready solutions while advancing

Qualifikationen

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

Aufgaben

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

Kenntnisse

Python

C/C++

Java

JavaScript

Software development

Data structures & algorithms

Ausbildung

Bachelor's degree or equivalent practical experience

Master’s degree or PhD in Computer Science

Tools

EDA tools

Jobbeschreibung

Google DeepMind in Zürich is seeking an experienced Software Engineer to design, develop, and optimize tools for RTL generation and hardware compilation within EDA workflows. You will create scalable software and robust automation that accelerates hardware synthesis and testing across 2D/3D environments.

Collaborating with hardware architects, compiler engineers, and ML researchers, you will bridge high-level representations to optimized RTL, delivering production-ready solutions while advancing