Research Engineering Manager, AI for Chip Design
Google DeepMindLondon, England, United Kingdom
Posted October 28, 2025
Full Time
About the Company
Google DeepMind is a team of experts dedicated to advancing artificial intelligence for public benefit. They specialize in developing machine learning technologies aimed at solving complex scientific challenges while prioritizing safety and ethics. With a track record of breakthroughs published in leading journals, DeepMind's innovations include diagnosing eye diseases, optimizing data center energy use, and predicting protein structures, which could revolutionize drug discovery.
Job Description
Google DeepMind is seeking a Research Engineering Manager to advance AI for Chip Design. The role focuses on developing and applying advanced ML models and technologies to accelerate chip design and product innovation. The team collaborates with hardware engineers, architects, and other product teams to leverage deep learning and transformer models.
Requirements
- Ph.D. in Computer Science or related quantitative field, or B.S./M.S. in Computer Science or related quantitative field with 5+ years of relevant experience.
- Strong coding and ML infrastructure, distributed systems, tools integrations.
- Strong hands-on implementation experience with Deep Learning (DL) models and frameworks like PyTorch, JAX, TensorFlow, or similar.
- Experience or interest in Chip & Hardware Design, especially on automating Chip Design including EDA.
- Self-directed research engineer who can land new research ideas into productionisation in a rapidly shifting landscape.
Benefits
- Competitive salary
- Equal employment opportunity