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Mat3ra

Cloud-based materials modeling platform for R&D

Computational Materials Scientist

Physical SciencesConfirmed live in the last 24 hours
Full-timeWalnut Creek, CA, USA

About the Job

Requirements

  • Ph.D. from a tier-1 lab in chemistry or materials science.
  • Prior work on advanced electronic structure methods such as VASP, Quantum ESPRESSO, Gaussian, NWChem, or Siesta, or similar methods.
  • Prior experience with machine learning.
  • Advanced Python knowledge.
  • Advanced Linux, Red Hat, and Bash knowledge.
  • Intermediate MongoDB and JSON knowledge.
  • Intermediate message-passing interface or OpenMP knowledge.
  • Willingness to learn GPU and TPU technologies.
  • Ability to learn and apply new concepts rapidly.
  • Extreme attention to detail.

Responsibilities

  • Apply nanoscale modeling to large sets of materials, surfaces, and reaction pathways with minimal human input.
  • Organize data produced by models and experimental validation.
  • Establish artificial intelligence approaches using the data.
  • Develop software.
  • Perform materials modeling with artificial intelligence and machine learning.
  • Contribute to product design and concept development.
  • Work closely with the engineering team and relay and explain complex concepts.

Desired Qualifications

  • Familiarity with AWS EC2 and Microsoft Azure.
  • Familiarity with SaltStack or similar tools.

About the Company

Mat3ra

Cloud-based materials modeling platform for R&D

Mat3ra provides an end-to-end, cloud-based materials modeling platform that unifies multiple simulation tools and data for researchers. Researchers design workflows with a web-based designer, run physics-based and AI/ML models on secure high-performance cloud computing, and analyze results. Unlike competitors, it combines engines like Quantum ESPRESSO, VASP, and LAMMPS in one workspace and targets dispersed academic and industrial teams in energy, semiconductors, and manufacturing. Its goal is to accelerate materials discovery by moving R&D into a collaborative, AI-enabled cloud platform.

Company size
1-10
Company stage
Seed
Total funding
$3M
Headquarters
Walnut Creek, CA
Founded
2014

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