# Research Engineer, Materials Science

**Company**: Google DeepMind
**Location**: Mountain View, California, US
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Salary**: $141,000 - $202,000 + bonus + equity + benefits
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q15733006

**Apply**: https://job-boards.greenhouse.io/deepmind/jobs/7339890?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_24f2fb81-c47

## Description

At Google DeepMind, we're committed to equal employment opportunities and value diversity of experience, knowledge, backgrounds, and perspectives. We're 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.

As a Research Engineer, Materials Science, 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.

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:

- 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).

## Skills

### Required
- Python
- C++
- software design and development
- concurrent and distributed software algorithms and architectures
- high-performance computing
- scientific simulations

### Nice to have
- materials science
- chemistry
- physics
- molecular dynamics
- computational chemistry simulations
- transformers
- diffusion models

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/deepmind/jobs/7339890?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)