Google DeepMind · 2 hours ago
Software Engineer, Machine Learning and Electronic Design Automation GenAI - Mountain View, CA
DeepMind is looking for engineers who can revolutionize chip design methodology through innovative approaches in electronic design automation (EDA) using machine learning and cloud computing. The role involves hands-on coding and prototyping to improve EDA outcomes and deliver tools that enhance AI chip design.
Artificial Intelligence (AI)Business DevelopmentFoundational AIMachine Learning
Responsibilities
Skilled at rapid yet rigorous prototyping and software tool building for design automation; aptitude to quickly determine whether an approach is worth following or not without spending too much time
Excited to invent, prototype, and deliver tools employing novel optimization techniques and machine learning to re-invent AI chip design, from RTL to GDSii
Qualification
Required
Experience advancing EDA, including using any one or more of machine learning, cloud computing, or HW/SW co-design to improve EDA outcomes
Demonstrated ability to innovate
Ability to scope, plan, and execute projects towards team goals
Desire to revolutionize chip design and the flexibility to thrive in a rapidly evolving organization
Preferred
Experience with collaborative, hyper-scalar software development and engineering best practices
Interest in working with full-stack system development, from HW/SW co-design through implementation (ideally through post-silicon)
Interest in JAX, GPU, or other SIMD programming (eg, for ML/AI or scientific computing)
Ph.D. in Electrical Engineering, Computer Science or related field; or other similar experience
Company
Google DeepMind
Google DeepMind aims to research and build safe artificial intelligence system to solve intelligence and advance science and humanity. It is a sub-organization of Google.
Funding
Current Stage
Late StageTotal Funding
unknown2014-01-26Acquired
2011-02-01Series A
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