Senior RTL Optimization Engineer for AI/EDA

Google Inc.

Zürich

Vor Ort

CHF 140.000 - 190.000

Vollzeit

vor 34 Stunden
Sei unter den ersten Bewerbenden
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Zusammenfassung

Google DeepMind is seeking a Senior Software Engineer specializing in RTL optimization to contribute to the software tools that accelerate hardware compilation and RTL generation. The role involves collaborating with ML researchers and hardware architects to optimize pipelines and deliver production-ready tooling.

The position expects strong software engineering fundamentals, experience with data structures/algorithms, and a background in hardware-aware design to improve performance across the

Qualifikationen

  • Bachelor’s degree or equivalent practical experience.
  • 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

Bachelor’s degree or equivalent
5 years of software development

Ausbildung

Master's or PhD in CS/related

Tools

Hardware design
Hardware EDA tools

Jobbeschreibung

Google DeepMind is seeking a Senior Software Engineer specializing in RTL optimization to contribute to the software tools that accelerate hardware compilation and RTL generation. The role involves collaborating with ML researchers and hardware architects to optimize pipelines and deliver production-ready tooling.

The position expects strong software engineering fundamentals, experience with data structures/algorithms, and a background in hardware-aware design to improve performance across the

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