Job Description

Snapshot

We are looking for engineers who understand that the end of Moore’s Law will require a revolution in chip design methodology (EDA). Our work emphasizes three opportunities for novel approaches to EDA: cloud/hyperscale computing--which allows algorithms to operate totally differently; machine learning--which provides dramatic automation opportunities; and integration--since we can now co-design and/or co-optimize algorithms, compilers, and hardware.

This is a hands-on coding role for engineers who like to roll up their sleeves and get things done. At Google DeepMind you’ll be joining our team of scientists and engineers who are directly impacting the machinery of machine learning.

The Role

You should be passionate about making digital electronic design better, including (but not limited to) how to use machine learning, cloud computing, and/or co-design to dramatically improve EDA:


+ Skilled at rapid yet rigorous prototyping and soft...

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