Senior Software Engineer — AI/RTL & EDA Tools

Job-Room; Zürich; Vor Ort; CHF 110.000 - 170.000; Vollzeit

Zusammenfassung

Google DeepMind is seeking a Software Engineer to design and optimize tools for RTL generation and hardware compilation. You will work with ML researchers, hardware architects, and compiler engineers to accelerate optimization cycles and integrate sophisticated algorithms into production-quality software.

The role emphasizes strong software foundations, cross-disciplinary collaboration, and pushing the boundaries of AI and EDA integration across hardware design and robotics projects.

Qualifikationen

• Bachelor's degree or equivalent practical experience.
• 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
• 5 years of experience in software development, and with data structures/algorithms.

Aufgaben

• Design, develop, and optimize software tools to improve the quality of generated RTL and accelerate the execution of hardware compilation and EDA tools.
• 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 the gap between high-level representations and highly optimized RTL.
• Develop robust, scalable automation scripts and software libraries to streamline and speed up RTL generation and optimization workflows.
• Work with product engineering teams to bring the software tools we are developing to production quality.

Kenntnisse

Programming languages

Software development

Data structures/algorithms

Ausbildung

Bachelor's degree

Master's or PhD in CS

Tools

Hardware EDA tools

Jobbeschreibung

Google DeepMind is seeking a Software Engineer to design and optimize tools for RTL generation and hardware compilation. You will work with ML researchers, hardware architects, and compiler engineers to accelerate optimization cycles and integrate sophisticated algorithms into production-quality software.

The role emphasizes strong software foundations, cross-disciplinary collaboration, and pushing the boundaries of AI and EDA integration across hardware design and robotics projects.