Software Engineer, Machine Learning and Electronic Design Automation

London, UK; Mountain View, California, US; Zurich, Switzerland

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.

About Us

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.

The Role

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

  • 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 products employing novel optimization techniques and machine learning to re-invent AI chip design, from models to GDSii.

Existing team members are self-driven and motivated, bring passion to their work, are comfortable working in a highly ambiguous environment, are open and curious to seek out and learn new perspectives, can challenge their own thinking, and are excellent and direct communicators and collaborators. 

About You

In order to set you up for success as a EDA Software Engineer at Google DeepMind, we look for the following requirements:

  • Experience advancing EDA, including using AI, 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.

In addition, 1-2 years of experience of the following would be helpful:

  • 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.

The US base salary range for this full-time position is between $141,000 - $291,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Application deadline: June 5, 2025

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At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

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