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Mat3ra

Cloud-based materials modeling platform for R&D

Grant Writer

Proposal ManagementConfirmed live in the last 24 hours
Full-timeWalnut Creek, CA, USAIn-person

About the Job

Requirements

  • A Master's or Ph.D. degree in materials or chemistry, or a related technical field.
  • At least 3 years of experience developing and managing scientific work within one or more of the following: materials science, chemistry, physics, computer science, or artificial intelligence/machine learning.
  • Prior successful experience applying for or receiving funding from government agencies such as the Department of Defense, Department of Energy, National Science Foundation, NASA, or NIST.
  • Familiarity with Google Docs, spreadsheets, the Department of Energy PAMS system, Grants.gov, and DSIP portals.
  • Strong written and oral communication skills and the ability to collaborate effectively with management and engineering.
  • Strong time-management and organizational skills for coordinating multiple initiatives, priorities, and implementations of new technology and products into complex projects.
  • Strong analytical and problem-solving skills.
  • Ability to learn and apply new concepts rapidly.
  • Attention to detail.

Responsibilities

  • Identify strategic pathways for public-sector growth.
  • Prepare relevant content, including case studies and technical presentations.
  • Deliver content and measure key performance indicators.
  • Find, plan, and write grant proposals.
  • Solicit and communicate with the parties involved.
  • Work closely with the science and engineering team, relaying and explaining scientific concepts.

Desired Qualifications

  • Prior background in enterprise software, materials science, chemistry, physics, or a related area.
  • Experience with machine learning.

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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