Software Engineer, Machine Learning and Electronic Design Automation

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.

Artificial Intelligence could be one of humanity's most useful inventions. At Google DeepMind, we're a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence (AI). We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.