Research Engineer, Materials Science

DeepMind•Mountain View, CA

4d•$141,000 - $202,000

About The Position

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, we’re optimistic that we can build new methods that will push the boundaries of what is possible and help solve the biggest problems facing humanity. 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. You'll 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.

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.

Nice To Haves

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).

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.