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Materials Software Engineer

DeepMind

$141,000 - $202,000
Oct 31, 2025
Mountain View, CA, US
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Google DeepMind is looking to accelerate the discovery of new functional materials by combining AI and computational simulation with automated experimentation.

Requirements

  • 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.
  • 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.).

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.
  • 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.

Other

  • Passionate about using computation to advance science.
  • 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.
  • May also contribute to the scientific knowledge and experience of the team with your own scientific domain knowledge.
  • The US base salary range for this full-time position is between $141,000 - $202,000 + bonus + equity + benefits.
  • Offer of employment will be conditional on the results of a background check.