Technical Lead, Research Engineer, AI for Chip Design

DeepMind; Greater London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading AI research organization is seeking a Research Engineer to advance AI technologies for Chip Design. The ideal candidate will have a Ph.D. or relevant B.S./M.S. with significant experience in Machine Learning and Deep Learning. Key responsibilities include managing a development team, driving AI infrastructure for Chip Design, and collaborative problem-solving in complex tasks. This full-time role is located in Greater London, offering opportunities to impact industry-wide developments.

Qualifications

• Ph.D. in Computer Science or related field or B.S./M.S. with 5 years experience.
• Hands-on experience with Deep Learning models and frameworks.
• Publicly available evidence of DL implementation skills appreciated.

Responsibilities

• Manage a thriving and growing team.
• Drive infrastructure development for AI in Chip Design.
• Develop ML solutions for design workflows.
• Collaborate closely with REs to deliver AI solutions.

Skills

Deep Learning techniques

Machine Learning tools

Distributed systems

Coding

Education

Ph.D. in Computer Science or related field

B.S. or M.S. in Computer Science with 5 years of experience

Tools

PyTorch

JAX

TensorFlow

Job description

Snapshot

Artificial Intelligence could be one of humanity's most useful inventions. At Google DeepMind we are a team of scientists, engineers, machine learning experts and more working together to advance the state of the art in artificial intelligence. 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.

About Us

We develop and apply state-of-the-art AI methods and models to accelerate Chip Design and work closely with research and product teams across Google.

Our team is composed of research scientists, research engineers and software engineers that have already had a big impact on real products via research breakthroughs. We work on lighting the path of new ideas that can become new products. We work closely with hardware engineers, architects so we can bring novel ideas to real products.

We have recently participated and won the IWLS 2023 Programming Contest by applying Deep Learning Simulated Annealing and Reinforcement Learning to logic synthesis with multiple landings on the recent TPUs. AlphaChip has been adopted in the last 5 generations of TPUs.

Gemini has been adopted by the HW team in multiple workstreams accelerating the Chip Design process.

The mission of our team is to Accelerate and Optimize Chip Design with AI. At Google DeepMind we've built a unique culture and work environment where long-term ambitious research grounded in real problems can flourish.

The Role

As part of our team at Google DeepMind you'll have opportunities to advance AI for Chip Design to enable breakthrough capabilities and pioneer next‑generation products in collaboration with major Product Areas.

There are many fundamental research and transformative product landing opportunities including but not limited to :

• Bring the most advanced ML models and technologies to Chip Design.
• Develop ML breakthroughs that will have a big impact for Google and for the whole Chip design industry.
• Use LLMs and transformer models to accelerate chip design.
• Solve some of the most complex tasks in Chip Design (RTL generation, RTL verification, Logic Synthesis, Physical Design, PPA prediction).

Key responsibilities

• Manage a thriving and growing team.
• Drive the development of infrastructure for AI for Chip Design.
• Develop agentic flows, tool use and new capabilities for Chip Design.
• Contribute to ML for Physical Design, Logical Synthesis, Verification and RTL generation.
• Work closely with other REs and collaborators to deliver AI solutions to chips.
• Amplify impact by generalising solutions into reusable libraries for many use cases.

About You

In order to set you up for success as a Research Engineer at Google DeepMind we look for the following skills and experience :

• 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. Publicly available evidence of DL implementation skills via open source repositories will be valuable.

In addition the following would be an advantage

• 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. Excel at leading high performing teams and cross‑team collaborations.
• Knowledge of Machine Learning, Differentiable Programming, Discrete Optimization, Reinforcement Learning, Chip & Hardware Design or related fields.

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.

Key Skills

Administrative Skills, Facilities Management, Biotechnology, Creative Production, Design And Estimation, Architecture

Employment Type : Full Time

Experience : years

Vacancy : 1