Employ cutting-edge technology and techniques to contribute to solving some of the hardest problems.
Requirements
At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact.
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, 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. 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.
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.
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.
experience of the team with your own scientific domain knowledge.
Use your domain knowledge in the sciences (if applicable) to design, develop and implement high-performance simulations, tools, and analysis workflows.
Software Engineers come from a diverse set of backgrounds, sometimes with degrees in Computer Science and sometimes with extensive
experience with modern deep learning architectures (e.g., transformers, diffusion models).
If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
Benefits
The US base salary range for this full-time position is between $141,000 - $202,000 + bonus + equity + benefits.
Your recruiter can share more about the specific salary range for your targeted location during the hiring process.
Additional details
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.
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.
You may also contribute to the scientific knowledge and
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.
Incorporate your passion for software engineering and high performance computing to enable running scientific calculations at scale and accelerate scientific discovery. About you
In addition, one or more of the following would be strongly preferred:
Scientific knowledge (particularly materials science, chemistry, or physics). •