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Computational Materials Science Jobs in California

Mat3ra

Computational Materials Scientist

Walnut Creek, CA · On-site +1

$90K - $140K/yr

Overview We look for computational materials scientists excited about bridging the gap between ... science to help us develop a software framework for designing and discovering new advanced ...

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Computational Materials Science information

What are the key skills and qualifications needed to thrive as a computational materials scientist, and why are they important?

To thrive as a Computational Materials Scientist, you need a solid background in materials science, physics, or chemistry, often with a graduate degree and experience in scientific computing. Proficiency with simulation software (such as VASP, LAMMPS, or Quantum ESPRESSO), programming languages (like Python, C++, or Fortran), and familiarity with high-performance computing systems is typically required. Critical thinking, problem-solving abilities, and effective collaboration and communication skills set outstanding candidates apart. These competencies are crucial for designing, executing, and interpreting complex simulations and for translating computational insights into real-world materials innovations.

What is the difference between Computational Materials Science vs Materials Engineer?

AspectComputational Materials ScienceMaterials Engineer
Required CredentialsTypically requires a PhD or Master's in materials science, physics, or chemistryBachelor's or Master's in materials engineering or related field
Work EnvironmentResearch labs, universities, or R&D departments focusing on simulations and modelingManufacturing plants, design offices, or product development teams
Industry UsagePrimarily in research, academia, and advanced R&D projectsProduction, quality control, and product development in manufacturing industries
Common Search/ComparisonYesYes

Computational Materials Science focuses on using computer simulations and modeling to understand and predict material behavior, often requiring advanced degrees. Materials Engineers work on designing, testing, and improving materials in practical applications, usually with a bachelor's or master's degree. While both roles are integral to materials development, Computational Materials Science is more research-oriented, whereas Materials Engineering emphasizes application and production.

What are some common challenges faced by professionals in computational materials science, and how can they be addressed?

Professionals in Computational Materials Science often encounter challenges such as dealing with large datasets, managing the complexity of multi-scale simulations, and ensuring the accuracy of computational models. Addressing these challenges typically involves staying updated on the latest simulation software, collaborating closely with experimental teams to validate results, and developing strong programming and data analysis skills. Effective communication and interdisciplinary teamwork are also key, as projects often require input from chemists, physicists, and engineers to achieve successful outcomes.

What are computational materials science jobs?

Jobs in computational materials science include academic and research positions in university settings. You can also find positions in the manufacturing industry. As a research scientist in computational materials science, your duties are to develop hypotheses and test them using computational modeling software and a variety of investigatory tools, such as Monte Carlo algorithms, density function theory, phase field models, and finite element methods. Your responsibilities include gathering data, testing modeling software, collaborating with other researchers to develop tools that aid them in their research, and analyzing data to write reports, journal articles, or presentations for conferences.

What is computational materials science?

Computational materials science is a field that uses computer-based simulations and modeling to understand, predict, and design the properties and behaviors of materials. Researchers use mathematical models, algorithms, and high-performance computing to study materials at the atomic, molecular, or macroscopic level. This approach allows scientists to accelerate the discovery of new materials, optimize existing ones, and investigate phenomena that may be difficult or expensive to study experimentally.

Is computational chemistry a good career?

Computational chemistry is a valuable field within computational materials science, involving the use of computer simulations and modeling to study chemical systems. It offers opportunities in research, pharmaceuticals, and materials development, often requiring skills in programming, chemistry, and physics. The career can be rewarding with a strong job outlook, especially for those with advanced degrees and expertise in simulation tools and data analysis.
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Computational Materials Science jobs near you
Infographic showing various Computational Materials Science job openings in California as of August 2026, with employment types broken down into 73% Full Time, 21% Part Time, 3% Temporary, 2% Contract, and 1% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.

Computational Materials Scientist

Mat3ra

Walnut Creek, CA • On-site

$90K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago

Job description

Overview
We look for computational materials scientists excited about bridging the gap between materials/chemistry, data science, and computer science to help us develop a software framework for designing and discovering new advanced materials and chemicals.
Work will focus on (1) the application of nanoscale modeling to large sets of materials, surfaces, and reaction pathways with minimal human input, (2) organizing the data produced by the models and experimental validation, (3) establishing artificial intelligence approaches using the data.
Successful candidates will continue into leadership roles as we grow.
This is a full-time permanent position.
Responsibilities
  • software development
  • materials modeling with AI/ML
  • product design and concept development
  • work closely with the engineering team, relay and explain complex concepts

Why Join
  • see the results of your creative work used directly by the world's leading enterprises
  • realize your ambitions and directly define how materials research is done in the future
  • work with top-tier human capital in research, engineering, and venture capital

Requirements
Scientific
  • excellent knowledge of chemistry/materials science (Ph.D. from a tier-1 lab)
  • prior work on advanced electronic structure methods (VASP, Quantum ESPRESSO, Gaussian, NWChem, Siesta, or similar)
  • prior experience with machine learning

Engineering
  • python (advanced)
  • Linux/RedHat/Bash (advanced)
  • MongoDB/JSON (intermediate)
  • message-passing interface / OpenMP (intermediate)
  • other (GPU, TPU) - willing to learn

Other
  • ability to learn and apply new concepts rapidly
  • extreme attention to details

Plus
  • familiarity with AWS EC2, Microsoft Azure
  • familiarity with SaltStack or similar

Benefits
Company Benefits Include
  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Short Term & Long Term Disability
  • Training & Development
  • Work From Home
  • Free Food & Snacks
  • Wellness Resources
  • Stock Option Plan

Compensation
  • $90,000 - $140,000 salary range
  • 0.1 - 0.5% stock options

Apply