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Computational Modeling Simulation Multiphysics Jobs in Windsor, CA

COMSOL Multiphysics), as well as circuit simulators such as Cadence. Work with cross-functional ... and modeling Background in electro-magnetics and a sound facility with Maxwell's equations ...

... simulations and important design load cases. The machine learning models will drive rapid design ... in computational physics and mechanics Proficiency in Python and relevant packages for ML ...

... simulations and important design load cases. The machine learning models will drive rapid design ... in computational physics and mechanics Proficiency in Python and relevant packages for ML ...

... simulation, AI and experimental data analysis. The system includes next-generation NVIDIA Vera ... NESAP is about employing cutting-edge computational science techniques and advanced performance ...

Computational Modeling Simulation Multiphysics information

See Windsor, CA salary details

$42.8K

$111.2K

$158.1K

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

As of Jun 9, 2026, the average yearly pay for computational modeling simulation multiphysics in Windsor, CA is $111,188.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,200.00 and $142,200.00 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 cities near Windsor, CA are hiring for Computational Modeling Simulation Multiphysics jobs? Cities near Windsor, CA with the most Computational Modeling Simulation Multiphysics job openings:
Sensing Hardware - Mechanical Modeling and Simulation (FEA) Engineering Leader

Sensing Hardware - Mechanical Modeling and Simulation (FEA) Engineering Leader

Apple

Bodega Bay, CA

$228K - $393K/yr

Full-time

Medical, Dental, Retirement

Posted 24 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Apple's Hardware Technology organization is seeking a visionary Senior Engineering Leader to spearhead the use of computational simulation to design and validate the next generation of sensing hardware. This role requires a leader who can combine deep expertise in mechanical simulation with a strategic vision for automation and the application of AI/ML. Your team's primary mission will be to deliver critical insights and design recommendations that ensure the performance and reliability of Apple's most advanced products.
As the leader of this team, you will guide a group of world-class computational engineers, establishing best practices for simulation and analysis. You will be responsible for creating robust, validated designs by applying rigorous systems engineering principles and state-of-the-art simulation techniques. By architecting sophisticated automation workflows, you will accelerate the design process and enhance predictive accuracy, making a profound impact on the development of Apple's breakthrough sensing technologies.
Description
In this leadership role, you will lead, grow and mentor a specialized team of computational mechanics and automation experts, setting the vision for how Apple simulates, designs and validates its most advanced sensing hardware. Your primary mission is to deliver insights, design recommendations and validate designs using simulations. This will involve in-depth knowledge of various simulation techniques, state-of-the art tools and a rigorous knowledge of systems engineering principles to create robust mechanical designs proven through simulations. This also involves architecting sophisticated toolchains and automated workflows that integrate deep Finite Element Analysis (FEA) with cutting-edge AI/ML methodologies as applicable. By doing so, you will dramatically accelerate design cycles, enhance the predictive accuracy of our models, and enable the team to solve complex multi-physics challenges. You will collaborate closely with cross-functional partners in sensor design, materials science, and product development, ensuring your team’s strategic innovations in simulation and automation directly influence the performance and reliability of the next generation of Apple products.","responsibilities":"Design Insight and Validation: Lead the team in delivering actionable insights, providing data-driven design recommendations, and validating hardware designs using a wide range of advanced simulation techniques.
Strategic Leadership: Define and execute a technical roadmap for advanced simulation and analysis, applying systems engineering principles to ensure robust design outcomes.
Team Leadership & Mentorship: Build, mentor, and lead a high-performing team of computational engineers, fostering a culture of technical excellence and focusing on delivering direct design impact.
Automation & Toolchain Architecture: Oversee the development of sophisticated toolchains and automated workflows to accelerate the entire simulation process-from model creation and meshing to analysis and reporting.
Applied AI/ML for Simulation: Guide the application of AI/ML to enhance simulation workflows, using techniques like surrogate modeling and predictive analytics to accelerate analysis and explore complex design spaces.
Deep Technical Guidance: Provide expert technical leadership in computational mechanics, including nonlinear FEA, multi-physics simulation, and advanced material modeling, to solve complex challenges unique to miniaturized sensing hardware.
Cross-Functional Influence: Partner with and influence teams in sensor design, materials science, and product development, translating simulation results into tangible design improvements.
Methodology & Quality: Establish and enforce rigorous standards for simulation quality, including validation and correlation with experimental test data to ensure the reliability of all analyses and recommendations.
Preferred Qualifications
Experience with multi-physics simulations relevant to sensor transduction (e.g., piezoelectric, optical, capacitive etc).
Experience with Computational Fluid Dynamics (CFD) simulations, including interpretation of fluid flow and thermal performance results.
Experience in a consumer electronics or high-volume manufacturing environment.
Familiarity in designing for module and system reliability.
Automation & Programming Skills: Advanced programming skills (Python highly preferred) with extensive experience developing custom engineering tools and automating complex simulation workflows.
Experience with cloud-based High-Performance Computing (HPC) for large-scale simulations.
Applied AI/ML Experience: Proven experience applying machine learning techniques to solve practical engineering problems within a simulation or design context.
10+ years in a technical leadership or management role, with experience leading engineering teams and defining technical strategy.
Minimum Qualifications
M.S. or Ph.D. in Mechanical Engineering, Aerospace Engineering, Computational Mechanics, or a closely related technical field.
10+ years of hands-on experience in mechanical simulation, with a focus on miniaturized or high-precision components.
5+ years in a technical leadership or management role, with experience leading engineering teams and defining technical strategy.
Deep Computational Mechanics Expertise: Comprehensive understanding of various simulation techniques, including deep expertise in FEA theory (nonlinear mechanics, advanced material models) and proficiency with commercial software (e.g., Abaqus, ANSYS, COMSOL).
Systems Engineering Acumen: Strong foundation in systems engineering principles and a demonstrated ability to create robust hardware designs validated through simulation.
Leadership & Influence: Exceptional leadership and communication skills with a proven ability to influence design decisions by articulating complex technical concepts and data-driven insights.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $228,100 and $393,800, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976