1

Computational Material Science Jobs in California

... Science methodology: how to design datasets from simulations, handle out-of-distribution ... materials, layout data formats Company : AI models for electronics Founded in , the company is ...

Solid understanding of AI for Science methodology: how to design datasets from simulations, handle ... IC design domain knowledge: device physics, semiconductor materials, layout data formats

Solid understanding of AI for Science methodology: how to design datasets from simulations, handle ... IC design domain knowledge: device physics, semiconductor materials, layout data formats

Showing results 21-40

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:

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 Scientist, Metal Additive Manufacturing

HRL Laboratories

Malibu, CA • On-site

$140K - $175K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Job description

HRL Laboratories pioneers the next frontiers of physical and information science. Delivering transformative technologies in automotive, aerospace and defense, HRL advances the critical missions of its customers to help them remove limitations and create competitive advantage. HRL then transitions the work back to customers - ready for real-world application. For more than 70 years, HRL's rich portfolio of scientific discoveries and engineering innovations continues to build on each other - often in unexpected, profound and far-reaching ways. As a private company owned jointly by Boeing and GM, HRL prioritizes purpose over profit, significantly advancing the state of the art.
HRL Laboratories advances critical structural and functional materials and semiconductor devices that enable precision navigation, quantum technologies and extreme-environment performance. With expertise from design through deployment, we deliver scalable, high-performance solutions that transform our customers' missions. Our work leverages digital manufacturing and scalable microfabrication techniques to meet tomorrow's toughest challenges.
Position Summary:
In this role, you will have the opportunity to make an immediate impact on a high-profile, America Makes funded project shaping the future of metal additive manufacturing. The ideal candidate will have an interest in growing into a Principal Investigator (PI) that will conceive, propose and lead new research initiatives.
Essential Duties:
• Support advanced R&D programs [TS1.1]in metal additive manufacturing, working closely with interdisciplinary teams to drive scientific and technological breakthroughs
• Plan and execute analytical and computational analysis and modeling with a focus on continuum methods and digital twin development
• Communicate complex modeling results clearly through presentations, technical reports, and collaborative discussions with team members, management and project sponsors
• Translate fundamental materials and process understanding into practical, scalable solutions for real-world additive manufacturing applications
• Plan and manage key project components-including timelines, deliverables, and resources-to ensure successful execution and meaningful impact
• Collaborate with experimental teams to validate models, compare simulation outputs with measurement data, and refine predictive capabilities.
• Interact with the broader community by presenting at conferences and publishing in journals
Required Qualifications:
• PhD or Postdoctoral experience in Materials Science, Mechanical Engineering, or a related field
• Strong foundation in computational modeling and familiarity with current and emerging AI/ ML methods relevant to materials and process optimization
• Experience with Finite Element Analysis FEA (e.g., ABAQUS, COMSOL, MOOSE)
• Experience with mesoscale microstructure modeling techniques such as phase field, cellular automata, and kinetic Monte Carlo methods
• Proficiency in programming languages like Python or C++ for data analysis and integration with simulation workflows
• Experience using machine learning libraries such as Scikit-Learn, PyTorch, Keras, or TensorFlow to solve engineering and materials science problems
• Experience with Scientific Machine Learning (SciML) for surrogate model development
• Experience in scientific communication through technical presentations and journal publications
Preferred Qualifications:
• Experience planning, conducting, and analyzing experiments
• Experience with Laser Powder Bed Fusion metal additive manufacturing
Physical Requirements:
• Ability to perform extended computational modeling and analysis at a workstation
Special Requirements:
• U.S. Citizenship with the ability to obtain and maintain a U.S. Government security clearance
Compensation and Benefits:
  • Pay Range: $140,700 - $175,950

  • Our salary ranges are determined by role, level, and location (California). The range displayed on each job posting reflects the target range for new hire salaries for the position. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range during the hiring process.

  • Benefits: HRL offers a generous and very competitive total compensation and benefits package. Our Regular/Full Time benefits include medical, dental, vision, life insurance, 401K match, gym facilities, PTO, Sick time, upward mobility, and an exciting and challenging work environment.

  • For more information about our company benefit offerings please visit: https://www.hrl.com/careers/benefits

Non-Discrimination and Equal Employment Opportunities (U.S.)
Don't meet every single requirement? Studies have shown that some people are less likely to apply to jobs unless they meet every single desired qualification. At HRL, we are dedicated to building a diverse, inclusive, and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
We are proud to be an EEO/AA employer M/F/D/V. We maintain a drug-free workplace and perform pre-employment substance abuse testing.
If you would like more information about Equal Employment Opportunity as an applicant under the law, please go toEmployees & Job Applicants | U.S. Equal Employment Opportunity Commission
For our privacy policy please visit:www.hrl.com/privacy
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.