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Google Material Science Jobs (NOW HIRING)

Senior Front End

San Jose, CA

$134K - $177K/yr

React, Angular, Ember BA/BS degree in Computer Science, related technical field, or equivalent ... Apple's Human Interface Guidelines or Google's Material Design Strong understanding of client ...

Senior Front End

San Jose, CA · On-site

$134K - $177K/yr

React, Angular, Ember • BA/BS degree in Computer Science, related technical field, or equivalent ... Apple's Human Interface Guidelines or Google's Material Design • Strong understanding of client ...

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... Have solid understanding of the fundamentals of materials science and polymer development

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... Have solid understanding of the fundamentals of materials science and polymer development

Materials Scientist

Boston, MA · On-site

$75K - $115K/yr

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... Have solid understanding of the fundamentals of materials science and polymer development

Materials Scientist

Somerville, MA · On-site

$75K - $115K/yr

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... Have solid understanding of the fundamentals of materials science and polymer development

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... Have solid understanding of the fundamentals of materials science and polymer development

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... Have solid understanding of the fundamentals of materials science and polymer development

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Google Material Science information

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How much do google material science jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for google material science in the United States is $20.95, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $21.88 per hour, depending on experience, location, and employer.

What do Google material scientists do?

As a Material Scientist at Google, you might work on developing new materials for hardware products, optimizing existing materials for sustainability, or researching cutting-edge technologies to enhance device performance. You will often collaborate closely with mechanical engineers, product designers, and manufacturing teams to ensure that material choices meet both technical and business requirements. Effective communication and teamwork are essential, as projects frequently require integrating feedback from multiple disciplines and rapidly iterating on prototypes.

What is the difference between Google Material Science vs Google Materials Engineer?

AspectGoogle Material ScienceGoogle Materials Engineer
Required CredentialsBachelor's or higher in Materials Science, Engineering, or related fieldBachelor's or higher in Materials Science, Engineering, or related field
Work EnvironmentResearch labs, product development teams, cross-functional projectsDesign, develop, and test materials for products, collaborate with R&D teams
Industry UsageResearch and development, innovation in materialsProduct manufacturing, material optimization, engineering solutions
Common Search/ComparisonFocuses on research and discovery of new materialsFocuses on applying materials knowledge to product development

Google Material Science involves research and discovery of new materials, often in labs or R&D settings. In contrast, Google Materials Engineers apply this knowledge to develop and optimize materials for products, working closely with engineering teams. Both roles require similar educational backgrounds but differ in focus—research versus application.

What is a Google material scientist?

A Google Material Scientist is a professional who researches, develops, and tests new materials for use in Google’s products and technologies. They work on creating innovative materials that can improve the performance, durability, and sustainability of devices such as smartphones, laptops, and other electronics. Their responsibilities may include conducting experiments, analyzing data, and collaborating with engineers and designers to integrate advanced materials into product development. Material Scientists at Google often work at the intersection of chemistry, physics, and engineering to solve complex technical challenges and drive innovation.

What skills and qualifications are needed to thrive as a Google material scientist?

To thrive as a Google Material Scientist, you need a solid background in materials science, chemistry, or physics, typically with a relevant advanced degree (MS or PhD) and experience in research or industry. Expertise with analytical tools such as SEM, TEM, XRD, and experience using data analysis software and laboratory information management systems are commonly required. Strong problem-solving abilities, creativity, and effective communication skills help you collaborate across multidisciplinary teams and drive innovation. These skills are essential for advancing materials research, developing new technologies, and supporting Google's product development goals.
More about Google Material Science jobs
What cities are hiring for Google Material Science jobs? Cities with the most Google Material Science job openings:
Infographic showing various Google Material Science job openings in the United States as of July 2026, with employment types broken down into 6% Internship, 63% Full Time, 19% Part Time, 6% Temporary, and 6% Nights. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $43,581 per year, or $21 per hour.

Material Science Research Engineer, DeepMind

DeepMind

Mountain View, CA • On-site

Full-time

Posted 21 days ago


Job description

Minimum qualifications:
  • Bachelor's degree in Computer Science, Electrical Engineering, Mathematics, Statistics, a related technical field, or equivalent practical experience.
  • 2 years of experience applying software engineering principles in a scientific research environment.
  • Experience working with linear algebra, calculus and statistics.
  • Experience performing data exploration or data analysis across datasets.
  • Experience with JAX, PyTorch, or TensorFlow.

Preferred qualifications:
  • Master's degree or PhD in Computer Science, Electrical Engineering, Science, Mathematics, or equivalent practical experience.
  • Specific domain expertise in areas like inorganic chemistry, solid-state physics, or materials synthesis.
  • Experience applying modern deep learning architectures (e.g., transformers, diffusion models) to chemistry or materials science issues (e.g., ML force fields).
  • Experience running large-scale scientific simulations (e.g., molecular dynamics, computational chemistry simulations, etc.) on Cloud or HPC clusters.
  • Experience developing custom LLM agents or tool-using systems.
  • Experience with concurrent and distributed software algorithms and architectures.

About the job
At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.
Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $147000 - $211000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Plan and perform rapid prototyping of machine learning techniques applied to problems in science.
  • Undertake exploratory analysis to inform experimentation and research directions.
  • Make improvements to model architectures and training procedures of machine learning models.
  • Implement tools, libraries, and frameworks to speed up and enable new research.
  • Report and present software developments, experimental results, and data analysis clearly and efficiently.

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