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Computational Material Science Jobs in California

Toyon

Computational Multiphysics Engineer

Goleta, CA · On-site

$125K - $195K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

While a background in electromagnetics and antenna design is ideal, we also welcome candidates with strong expertise in computational physics, fluid mechanics, thermodynamics, or materials science ...

Kanak Elite Services Inc

AI Engineer

Santa Clara, CA · On-site

D. in Materials Science, Computational Engineering, AI/ML, or related field. Technical Expertise: * Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow). * Experience with generative ...

Substrate

Research Scientist, AI

San Francisco, CA · On-site

$150K - $275K/yr

... and computational workflows * Develop AI-augmented tools for materials science, device physics, or accelerator physics applications * Build internal AI infrastructure and capabilities to enable ...

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Computational Material Science information

What is a computational material science?

A Computational Material Science job involves using computer simulations, modeling techniques, and data analysis to study and predict the properties of materials. Professionals in this field leverage methods like density functional theory (DFT), molecular dynamics, and machine learning to design new materials and optimize existing ones for various applications, including electronics, energy, and manufacturing. They often work in academia, research institutions, or industries such as aerospace, semiconductors, and pharmaceuticals. The role requires expertise in materials science, physics, chemistry, and programming, typically using tools like Python, MATLAB, or specialized simulation software.

What are the key skills and qualifications needed to thrive in computational material science?

To thrive in Computational Material Science, you need a strong background in materials science, physics, and computational modeling, usually supported by an advanced degree such as a Master's or Ph.D. Proficiency with simulation software (like VASP, LAMMPS, or Quantum ESPRESSO), high-performance computing environments, and programming languages like Python or C++ is often required. Strong analytical thinking, problem-solving ability, and effective teamwork and communication skills help set professionals apart in this field. These skills are essential for designing, analyzing, and optimizing materials using computational techniques, often as part of collaborative, interdisciplinary research teams.

What are typical daily tasks for a computational material science professional?

Daily tasks for a Computational Material Science professional often include developing and running computer simulations to investigate material properties, analyzing data from these simulations, and collaborating with experimental scientists to compare computational predictions with laboratory results. You may spend significant time programming, writing reports, and presenting your findings to colleagues or industry partners. You'll typically work within a multidisciplinary team, where clear communication and project coordination are crucial. The balance between independent computational work and collaborative meetings helps ensure innovative solutions to complex material challenges.

What are the most commonly searched types of Computational Material Science jobs in California?

The most popular types of Computational Material Science jobs in California are:

What are popular job titles related to Computational Material Science jobs in California?

For Computational Material Science jobs in California, the most frequently searched job titles are:

What job categories do people searching Computational Material Science jobs in California look for?

The top searched job categories for Computational Material Science jobs in California are:

What cities in California are hiring for Computational Material Science jobs?

Cities in California with the most Computational Material Science job openings:

Computational Material Science jobs near you
Infographic showing various Computational Material Science job openings in California as of August 2026, with employment types broken down into 80% Full Time, 15% Part Time, and 5% Contract. Highlights an 93% In-person, 2% Hybrid, and 5% Remote job distribution.

Computational Multiphysics Engineer

Toyon Research Corporation

Goleta, CA • On-site

$125K - $195K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago

Job description

U.S. Citizenship Required. Ability to qualify for a US Department of Defense security clearance required.
This is an on-site position located in Goleta, CA.
We are seeking a Computational Multiphysics Engineer with expertise in numerical methods and mathematical simulation to support the design and analysis of advanced antenna systems integrated into aerospace platforms. Successful design requires detailed analysis of electromagnetic, thermal, and structural effects interacting with one another.
While a background in electromagnetics and antenna design is ideal, we also welcome candidates with strong expertise in computational physics, fluid mechanics, thermodynamics, or materials science who are eager to apply their mathematical, programming, and problem-solving abilities to aerospace electromagnetic challenges.
Key Responsibilities:
  • Use commercial and proprietary modeling tools to simulate and optimize antenna systems and RF components.
  • Integrate electromagnetic simulations with multiphysics models, including thermal, structural, and aerodynamic analyses.
  • Work with large-scale computational environments, including high-performance computing (HPC) clusters and GPU-accelerated simulations.
  • Develop and automate analysis workflows using Python, MATLAB, or C++ to enhance efficiency and accuracy.
  • Collaborate with RF engineers, mechanical engineers, and aerospace system designers to ensure seamless integration of antennas into complex platforms.
  • Compile and report on simulation results and design recommendations to Toyon and customer program management.

Requirements
  • Ph.D. or M.S. in Electrical Engineering, Aerospace Engineering, Applied Mathematics, Physics, or a related field with a focus on computational modeling.
  • 3 or more years of relevant technical experience (thesis work included).
  • Experience with computational electromagnetics methods (e.g., FDTD, FEM, MoM, UTD, or hybrid techniques).
  • Strong programming skills in Python, MATLAB, or C++ for simulation automation and data analysis.
  • Experience working in an HPC or parallel computing environment.

WE OFFER AN EXCEPTIONAL EMPLOYEE BENEFITS PACKAGE!
  • Competitive Industry Pay
  • 100% Employer-Paid Medical Insurance Premium
  • HSA with Employer Contributions
  • Dental and Vision Coverage Options
  • Paid Holidays
  • Paid Vacation and Sick leave
  • Company Funded 401(k) and Profit Sharing Plans
  • Employee Stock Ownership Plan (ESOP)
  • Life and Disability Insurance
  • Paid Parental Leave
  • Discretionary Bonus Eligibility

The annual pay range for the Computational Multiphysics Engineer position is $125,000 to $195,000.
The posted pay range values provide the candidate with guidance on annual base compensation for the position, at a full time level of effort, exclusive of overtime, bonus, and benefits-related compensation, over a range of qualifications that may fit hiring objectives. Toyon Research Corporation will consider the individual candidate's education, work experience, applicable knowledge, skills and training, among other factors, when preparing an offer of employment.
Equal Opportunity Employer including Disability and Veterans
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Learn more about our company in our latest video, We are Toyon.
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