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Computational Modeling Simulation Multiphysics Jobs in Palo Alto, CA

Substrate

Research Scientist, AI

San Francisco, CA · On-site

$150K - $275K/yr

Integrate machine learning techniques to accelerate scientific simulations, modeling, and computational workflows * Develop AI-augmented tools for materials science, device physics, or accelerator ...

Voltai, Inc

Computational Scientist

Palo Alto, CA · On-site

Design simulation pipelines that generate training data for neural operator models - including ... PhD in computational physics, applied mathematics, computational engineering, or a closely related ...

Voltai

Computational Scientist

Palo Alto, CA · On-site

Design simulation pipelines that generate training data for neural operator models -- including ... PhD in computational physics, applied mathematics, computational engineering, or a closely related ...

Neuralink

Materials Engineer

South San Francisco, CA · On-site

We operate at the intersection of physical testing and computational modeling, closing the loop between experiment and simulation to drive design decisions. and Responsibilities: We are looking for a ...

Mainspring Energy

Staff CFD Modeling Engineer

Menlo Park, CA · On-site +1

$160K - $190K/yr

Extract fluid volumes suitable for computational analysis. Generate, refine, and debug the mesh to achieve a stable and accurate simulation * Select appropriate boundary conditions and domain models ...

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All JobsComputational Modeling Simulation Multiphysics JobsComputational Modeling Simulation Multiphysics Jobs in Palo Alto, CA

Computational Modeling Simulation Multiphysics information

See Palo Alto, CA salary details

$45.8K

$119K

$169.3K

How much do computational modeling simulation multiphysics jobs pay per year?

As of Aug 19, 2026, the average yearly pay for computational modeling simulation multiphysics in Palo Alto, CA is $119,028.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,300.00 and $152,200.00 per year, depending on experience, location, and employer.

What is computational modeling simulation multiphysics?

Computational modeling simulation multiphysics refers to the use of computer-based models to simulate and analyze systems that involve multiple interacting physical phenomena—such as fluid dynamics, heat transfer, electromagnetics, and structural mechanics—all at once. This approach allows researchers and engineers to predict complex real-world behavior, optimize designs, and reduce the need for expensive prototypes. Multiphysics simulations are widely used in industries like aerospace, automotive, energy, and biomedical engineering, where accurate modeling of coupled physical processes is critical.

What are common challenges faced by professionals in computational modeling simulation multiphysics, and how can they be addressed?

One of the main challenges in Computational Modeling Simulation Multiphysics roles is managing the complexity of integrating multiple physical phenomena, such as thermal, structural, and fluid dynamics, into a single simulation. This often requires a deep understanding of both the underlying physics and the numerical methods used by simulation software. Collaborating closely with domain experts and maintaining clear communication within multidisciplinary teams can help address these challenges. Additionally, staying updated with advances in simulation tools and best practices through continuous learning is key to overcoming technical hurdles and ensuring accurate results.

What are the key skills and qualifications needed to thrive as a computational modeling simulation multiphysics engineer, and why are they important?

A strong background in physics, engineering, mathematics, and computational science—typically with an advanced degree—is essential for a Computational Modeling Simulation Multiphysics Engineer. Proficiency in simulation software such as ANSYS, COMSOL Multiphysics, MATLAB, and programming languages like Python or C++ is commonly required, along with familiarity with high-performance computing environments. Analytical thinking, problem-solving skills, and effective communication set standout professionals apart in this field. These capabilities enable accurate modeling of complex physical phenomena, efficient collaboration, and successful project outcomes in research and industry settings.

What is the difference between Computational Modeling Simulation Multiphysics vs Computational Engineer?

AspectComputational Modeling Simulation MultiphysicsComputational Engineer
CredentialsTypically requires degrees in engineering, physics, or related fields; certifications in simulation software are commonSimilar educational background; often holds engineering degrees and software certifications
Work EnvironmentPrimarily in R&D labs, engineering firms, or manufacturing settings focusing on complex simulationsInvolved in product development, software development, or systems design in various industries
Industry UsageUsed in aerospace, automotive, energy, and manufacturing for advanced simulationsApplied across industries for designing, analyzing, and optimizing systems and products

While both roles involve computational skills and engineering principles, Computational Modeling Simulation Multiphysics specializes in complex, multi-physics simulations, whereas Computational Engineer focuses on designing and implementing computational solutions across various engineering projects.

What are popular job titles related to Computational Modeling Simulation Multiphysics jobs in Palo Alto, CA?

For Computational Modeling Simulation Multiphysics jobs in Palo Alto, CA, the most frequently searched job titles are:

What cities near Palo Alto, CA are hiring for Computational Modeling Simulation Multiphysics jobs?

Cities near Palo Alto, CA with the most Computational Modeling Simulation Multiphysics job openings:

Computational Modeling Simulation Multiphysics jobs near you

Mesoscale Modeling - Postdoctoral Researcher

LLNL

Livermore, CA • On-site

$9.8K/wk

Full-time

Retirement

Re-posted 3 days ago

Job description

Company Description
Join us and make YOUR mark on the World!
Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability.
Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact.
Job Description
We have an opening for a Postdoctoral Researcher to conduct computational research in the area of mesoscopic modeling of interface thermodynamics and kinetics, as well as associated microstructure evolution of materials, focusing on (electro)chemical and/or (electro)chemo-mechanical degradation mechanisms. You will be part of an interdisciplinary team of computational and experimental materials scientists utilizing world class computational and experimental research facilities to study the surfaces, interfaces, and microstructures of materials for structural and/or energy applications. This role will actively participate in the research and development of mesoscale computational models and codes for investigating mechanisms and simulating coupled interfacial processes in materials, including metals and metal oxides. This position is in the Computational Materials Science Group of the Materials Science Division.
  • fundamental and applied research in the thermodynamics and kinetics of surface/interface phenomena and associated microstructure evolution of metals and/or metal oxides.
  • Develop integrated modeling and simulation capabilities for simulating concurrent physical, chemical, and materials kinetic processes in materials.
  • Design and perform systematic computer simulations on LLNL supercomputers to establish the foundational understanding of thermodynamic and kinetic surface/interfacial mechanisms in these materials.
  • Pursue independent but complementary research interests and interact with a broad spectrum of scientists internally and externally to the Laboratory.
  • Collaborate with scientists in multidisciplinary team environment, including experimental and multiscale modeling experts.
  • Document research; publish papers in peer-reviewed journals, and present results within the DOE community and at conferences.
  • Perform other duties as assigned.

Qualifications
  • PhD in materials science, chemical engineering, mechanical engineering, physics, applied mathematics, or related field.
  • Demonstrated broad expertise in surface/interfacial mechanisms and phase transformations, with experience in microstructure-resolved mesoscale modeling of reactive (electro)chemical and/or (electro)chemo-mechanical processes governing degradation and/or performance in metals and/or metal oxides.
  • Experience with the development of phase-field models and the implementation of corresponding numerical methods in computer codes.
  • Experience with numerical methods for solving partial differential equations such as finite difference, finite element, and/or spectral methods.
  • Ability to develop independent research projects demonstrated through publication of peer-reviewed journal articles.
  • Proficient verbal and written communication skills as reflected in effective presentations at seminars, meetings and/or teaching lectures.
  • Initiative and interpersonal skills with desire and ability to work in a collaborative, multidisciplinary team environment.

Desired Qualifications
  • Experience with FORTRAN, C/C++, and parallel computing.
  • Experience in theoretical/computational studies of material microstructure evolution involving microelasticity and/or plasticity effects.
  • Experience with developing quantitative, parameterized phase-field models for interfacial processes and/or solid-state phase transformations of real materials systems (e.g., polycrystalline materials).

Pay Range
$123,048 Annually
Please note that the pay range information is a general guideline only. Many factors are taken into consideration when setting starting pay including education, experience, the external labor market, and internal equity.
Additional Information
All your information will be kept confidential according to EEO guidelines.
Position Information
This is a Postdoctoral appointment with the possibility of extension to a maximum of three years, open to those who have been awarded a PhD at time of hire date.
Why Lawrence Livermore National Laboratory?
  • Included in 2026 Best Places to Work by Glassdoor!
  • Flexible Benefits Package
  • 401(k)
  • Relocation Assistance
  • Education Reimbursement Program
  • Flexible schedules (*depending on project needs)
  • Our values - visit https://www.llnl.gov/inclusion/our-values

Security Clearance
None required. However, if your assignment is longer than 179 days cumulatively within a calendar year, you must go through the Personal Identity Verification process. This process includes completing an online background investigation form and receiving approval of the background check.
National Defense Authorization Act (NDAA)
The 2025 National Defense Authorization Act (NDAA), Section 3112, generally prohibits citizens of China, Russia, Iran and North Korea without dual US citizenship or legal permanent residence from accessing specific non-public areas of national security or nuclear weapons facilities. The restrictions of NDAA Section 3112 apply to this position. To be qualified for this position, Candidates must be eligible to access the Laboratory in compliance with Section 3112.
Pre-Employment Drug Test
External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor.
Wireless and Medical Devices
Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices.
If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings.
How to identify fake job advertisements
Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under "Find Your Job" of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond.
To learn more about recruitment scams: https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf
Equal Employment Opportunity
We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws.
Reasonable Accommodation
Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request.
California Privacy Notice
The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here.
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