ZipRecruiter

Log In

1

Computational Modeling Simulation Multiphysics Jobs in Santa Clara, CA

LLNL

Mechanical - Structural Analyst

Livermore, CA · On-site

$9.7K/wk

In this role, you will perform computational modeling and simulation using advanced, nonlinear finite element analysis codes developed at LLNL to evaluate structural and material responses to ...

LLNL

Mechanical - Structural Analyst

Livermore, CA · On-site

In this role, you will perform computational modeling and simulation using advanced, nonlinear finite element analysis codes developed at LLNL to evaluate structural and material responses to ...

LLNL

Mechanical - Structural Analyst

Livermore, CA · On-site

In this role, you will perform computational modeling and simulation using advanced, nonlinear finite element analysis codes developed at LLNL to evaluate structural and material responses to ...

Blue Current

Staff Scientist, Cell Modeling

Hayward, CA · On-site

... simulate mechanical, thermal, and coupled multiphysics problems relevant to cell and pack design ... Translates model outputs into clear, written technical recommendations for experimental and process ...

Blue Current

Staff Scientist, Cell Modeling

Hayward, CA · On-site

... simulate mechanical, thermal, and coupled multiphysics problems relevant to cell and pack design ... Translates model outputs into clear, written technical recommendations for experimental and process ...

Apple

Simulation Engineer - Camera Hardware

Sunnyvale, CA

$150K - $277K/yr

... modeling, computer vision, or computational photography or AI/ML for imaging Familiarity with simulation frameworks or synthetic data generation pipelines Track record of building tools or platforms ...

next page

Showing results 1-20

All JobsComputational Modeling Simulation Multiphysics JobsComputational Modeling Simulation Multiphysics Jobs in Santa Clara, CA

Computational Modeling Simulation Multiphysics information

See Santa Clara, CA salary details

$45.8K

$118.9K

$169.1K

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

As of Jul 6, 2026, the average yearly pay for computational modeling simulation multiphysics in Santa Clara, CA is $118,918.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,200.00 and $152,100.00 per year, depending on experience, location, and employer.

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 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 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 some common challenges faced by professionals in Computational Modeling Simulation Multiphysics roles, 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 popular job titles related to Computational Modeling Simulation Multiphysics jobs in Santa Clara, CA? For Computational Modeling Simulation Multiphysics jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Computational Modeling Simulation Multiphysics jobs in Santa Clara, CA look for? The top searched job categories for Computational Modeling Simulation Multiphysics jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Computational Modeling Simulation Multiphysics jobs? Cities near Santa Clara, CA with the most Computational Modeling Simulation Multiphysics job openings:
Computational Modeling Simulation Multiphysics jobs near you
Infographic showing various Computational Modeling Simulation Multiphysics job openings in Santa Clara, CA as of June 2026, with employment types broken down into 43% Full Time, and 57% Part Time. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $118,918 per year, or $57.2 per hour.

Multiphysics Simulation Scientist, Semiconductors

Periodic Labs

Menlo Park, CA • On-site

Full-time

Posted 5 days ago

Job description

About Periodic Labs
Periodic Labs is an AI and physical sciences company building state-of-the-art models to accelerate breakthroughs across materials, energy, semiconductors, and beyond. Backed by world-class investors and growing rapidly, we operate at the pace the frontier requires. Our team brings deep expertise, genuine ownership, and an insatiable drive to push the boundaries of what's scientifically possible.
About the Role
Periodic Labs is developing AI systems that can simulate physical science, verify predictions, and train on the full scientific method. A core part of that mission is building high-fidelity computational models of the processes happening inside our experimental and customer-facing systems, then making those models fast enough to support AI planning, autonomous lab operation, and engineering decision-making.
We are looking for a Multiphysics Simulation Scientist to develop, validate, accelerate, and integrate models of semiconductor-relevant physical processes. This role is designed for someone with deep experience in multiphysics simulation, especially in domains such as advanced packaging, wafer mechanics, thin-film deposition, plasma processing, thermal transport, stress and warpage, capillary flow, electromagnetics, or related manufacturing processes.
You will work across computational science, AI, automation, process engineering, and customer-facing teams. Your models will help us understand experimental systems, generate training data, guide process decisions, and deliver high-value engineering insights to semiconductor customers.
What You'll Do
  • Build and apply multiphysics models for semiconductor-relevant systems, including thermal, mechanical, fluid, electromagnetic, plasma, chemical reaction, and materials processes, often in coupled settings.
  • Model priority problems such as flip-chip underfill capillary flow and void formation, thermo-mechanical wafer stress and warpage, thin-film deposition, plasma chamber behavior, thermal budgets, process-induced deformation, magnetic or superconducting materials behavior, and other customer-driven physical systems.
  • Use high-fidelity simulation tools such as COMSOL, ANSYS, Abaqus, Fluent, Lumerical, Sentaurus, OpenFOAM, MOOSE, or comparable platforms where appropriate, while also helping decide when custom solvers, reduced-order models, or surrogate models are needed.
  • Validate models against experimental and process data. You will work with experimentalists and engineers to compare simulations against measurements, estimate uncertain parameters, understand failure modes, and decide when a model is ready to guide real decisions.
  • Generate physically meaningful simulated datasets for ML training. Your simulations will help train AI systems in regimes where experiments are expensive, slow, or difficult to run.
  • Integrate simulation workflows with Periodic Labs' AI, data, and orchestration infrastructure. Your models should become callable tools for AI planning and experiment interpretation, not standalone reports.
  • Collaborate with process, automation, AI, facilities, and customer-facing teams to optimize R&D workflows and solve practical engineering problems.
  • Help define the long-term multiphysics modeling roadmap for Periodic Labs' semiconductor and materials programs.
You Will Thrive in This Role If You Have
  • A PhD, MS, or equivalent experience in mechanical engineering, chemical engineering, materials science, electrical engineering, applied physics, aerospace engineering, or a closely related discipline.
  • Significant hands-on experience with multiphysics modeling tools such as COMSOL, ANSYS, Abaqus, Fluent, OpenFOAM, Sentaurus, Lumerical, MOOSE, or other finite-element, finite-volume, particle, or continuum solvers.
  • Deep understanding of coupled physical processes relevant to semiconductor or advanced manufacturing systems, such as heat transfer, stress and deformation, capillary flow, diffusion, plasma dynamics, electromagnetics, surface reactions, phase change, deposition, or materials evolution.
  • Experience building simulations that influenced real engineering or scientific decisions. You have not only published or run models; you have used them to explain failures, guide designs, improve processes, or support customer deliverables.
  • Strong Python skills and the ability to connect simulation outputs to analysis workflows, data pipelines, ML training infrastructure, and downstream decision-making systems.
  • Comfort working across disciplines with process engineers, experimental scientists, ML researchers, automation engineers, and external technical stakeholders.
  • Good judgment about simulation fidelity. You know when a commercial multiphysics package is the right answer, when a custom model is needed, and when a fast approximation is more useful than a slow high-fidelity model.
Especially Strong Candidates May Also Have
  • Deep knowledge of semiconductor advanced packaging, including underfill, flip-chip assembly, thermal-mechanical reliability, warpage, void formation, interconnects, or packaging materials.
  • Hands-on modeling of thin-film deposition processes: PVD, PLD, CVD, ALD, sputtering, evaporation, epitaxy, or related surface and chamber dynamics.
  • Fluency in plasma physics, including sheath dynamics, charged species transport, reactive flows, or plasma-enhanced deposition and etching.
  • A track record with wafer-scale mechanics: stress, bow, warpage, thermal cycling, film stress, delamination, fracture, or reliability modeling.
  • Ability to build GPU-accelerated solvers, reduced-order models, surrogate models, physics-informed neural networks, neural operators, or ML-accelerated PDE solvers.
  • Comfort with the full quantitative toolkit: parameter estimation, design of experiments, model calibration, sensitivity analysis, or uncertainty quantification.
  • Skill bridging length scales, from DFT and MD through kinetic Monte Carlo, phase-field modeling, and continuum mechanics.
  • Familiarity with semiconductor process integration, metrology, failure analysis, process control, or customer-facing engineering workflows.
  • A record of recognized impact: high-citation publications, deployed engineering models, patents, major customer-facing technical contributions, or simulation tools others actually use.
Why This Role Matters
Periodic Labs is building AI systems that reason about the physical world. For semiconductor and advanced materials problems, that requires models that understand real constraints: stress, heat, flow, plasma behavior, deposition, geometry, process variability, and materials response.
Your work will help turn multiphysics simulation from a slow offline activity into an active part of AI-driven experimentation, process optimization, and customer delivery.
Mechanics:
  • Minimum education: bachelor's degree or an equivalent combination of education and training or experience
  • Location: Our lab is located in Menlo Park and we prefer folks to be located in Menlo Park or San Francisco but can be flexible based on role
  • Compensation: The annual compensation range for this role - $160,000 - $220,000
  • Visa sponsorship: Yes, we sponsor visas and will do everything we can to assist in this process with our legal support.

We're building a team of the world's best - the scientists, engineers, and problem-solvers who don't just follow the frontier, they define it. If you're driven to bring AI to life in the physical world and make discoveries that have never been made before, you belong here.

Apply