Materials Software Engineer

DeepMind

Not Interested
Bookmark
Report This Job

profile Job Location:

Mountain View, CA - USA

profile Monthly Salary: $ 141000 - 202000
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

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 opportunities 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.

Snapshot

Science is at the heart of everything we do at Google DeepMind. From the beginning we took inspiration from science to build better algorithms and now we want to use our toolkit to accelerate scientific discovery. By bringing together specialists with backgrounds in machine learning computer science physics chemistry biology and more were optimistic that we can build new methods that will push the boundaries of what is possible and help solve the biggest problems facing humanity.

Project Overview

Google DeepMind (GDM) is pursuing a ground-breaking research program in materials aiming to accelerate the discovery of new functional materials by combining the predictive power of artificial intelligence (AI) and computational simulation with automated experimentation.

Youll join an interdisciplinary team of domain experts ML researchers and engineers exploring a diverse set of important scientific problems in materials science physics quantum chemistry and other areas. Our work is organised into several longer-term focus areas which aim to achieve step changes to the state-of-the-art.

The role

To succeed in this role you will need to be passionate about using computation to advance science.

As an embedded Software Engineer you will collaborate with other researchers and engineers to develop infrastructure for running experiments and help researchers explore new applications of AI and LLMs to materials science. The team is pioneering in many different domains so you may take part in exploratory work that enables validating early ideas or work in a maturing area to deepen and build infrastructure to exploit a promising line of research. You may also contribute to the scientific knowledge and experience of the team with your own scientific domain knowledge.


Key responsibilities:

  • Use your domain knowledge in the sciences (if applicable) to design develop and implement high-performance simulations tools and analysis workflows.
  • Apply your software engineering expertise to produce high quality reusable code and components to tackle meaningful strategic problems.
  • Share ideas with other specialists in the team and be highly collaborative striving to cultivate a culture of continuous development and advancement.
  • Employ cutting-edge technology and techniques to contribute to solving some of the hardest problems.
  • Incorporate your passion for software engineering and high performance computing to enable running scientific calculations at scale and accelerate scientific discovery.

About you

Software Engineers come from a diverse set of backgrounds sometimes with degrees in Computer Science and sometimes with extensive experience with real problems or both.

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

  • Dedicated software engineer with experience in software design and development obtained either through a degree or applied experience.
  • Proven experience in Python C and interoperability between the two.
  • Experience with concurrent and distributed software algorithms and architectures.
  • Experience applying software engineering principles in a scientific research environment.

In addition one or more of the following would be strongly preferred:

  • Scientific knowledge (particularly materials science chemistry or physics).
  • Experience with high-performance computing (HPC) and running high-throughput scientific simulations at scale.
  • Applied experience with scientific simulations (e.g. molecular dynamics computational chemistry simulations etc.)
  • Applied experience with modern deep learning architectures (e.g. transformers diffusion models).




The US base salary range for this full-time position is between $141000 - $202000 bonus equity benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Application deadline: November 14 2025

Note: In the event your application is successful and an offer of employment is made to you any offer of employment will be conditional on the results of a background check performed by a third party acting on our behalf. For more information on how we handle your data please see our Applicant and Candidate Privacy Policy


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.

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 opportunities regardless of sex race religion or belief ethnic or national origin disability age citizenship mar...
View more view more

Key Skills

  • JSP
  • Building Construction
  • Downstream
  • Home Care
  • Art And Craft

About Company

Company Logo

Artificial intelligence could be one of humanity’s most useful inventions. We research and build safe artificial intelligence systems. We're committed to solving intelligence, to advance science and benefit humanity.

View Profile View Profile