Research Engineer, Materials Science

At Google DeepMind, we're committed to equal employment opportunities and value diversity of experience, knowledge, backgrounds, and perspectives. We're pioneering research in materials science, combining AI and computational simulation with automated experimentation. As a Research Engineer, you'll collaborate with an interdisciplinary team to develop infrastructure for running experiments and help researchers explore new applications of AI and LLMs to materials science.

Key responsibilities include:

• Designing, developing, and implementing high-performance simulations, tools, and analysis workflows using domain knowledge in the sciences.
• Applying software engineering expertise to produce high-quality, reusable code and components to tackle meaningful strategic problems.
• Sharing ideas with other specialists in the team and being highly collaborative, striving to cultivate a culture of continuous development and advancement.
• Employing cutting-edge technology and techniques to contribute to solving some of the hardest problems.

About you:

• A 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).