ZipRecruiter

Log In

1

Computational Modeling Simulation Multiphysics Jobs in Chula Vista, CA

Apple Inc.

Mechanical Architecture - FEA

San Diego, CA · On-site

... computational models to understand the mechanical behavior of advanced sensing technologies and ... Develop simulation workflows, automation, and methodologies to improve engineering efficiency.

ASML

Tin Management Architect

San Diego, CA · On-site

$177K/yr

Strong background in experimentation, modeling, simulation, and data‑driven decision making. * Experience applying computational modeling, data analytics, AI/ML, and digital engineering tools to ...

Leidos

Computational Imaging Scientist

San Diego, CA · On-site

You will develop and apply computational imaging models that connect optical design, image ... You will contribute to the development of simulation tools and algorithms for analyzing hybrid ...

Leidos

Computational Imaging Scientist

San Diego, CA · On-site

You will develop and apply computational imaging models that connect optical design, image ... You will contribute to the development of simulation tools and algorithms for analyzing hybrid ...

next page

Showing results 1-20

All JobsComputational Modeling Simulation Multiphysics JobsComputational Modeling Simulation Multiphysics Jobs in Chula Vista, CA

Computational Modeling Simulation Multiphysics information

See Chula Vista, CA salary details

$40.4K

$105K

$149.3K

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

As of Sep 12, 2026, the average yearly pay for computational modeling simulation multiphysics in Chula Vista, CA is $104,961.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,400.00 and $134,200.00 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 job categories do people searching Computational Modeling Simulation Multiphysics jobs in Chula Vista, CA look for?

The top searched job categories for Computational Modeling Simulation Multiphysics jobs in Chula Vista, CA are:

What cities near Chula Vista, CA are hiring for Computational Modeling Simulation Multiphysics jobs?

Cities near Chula Vista, CA with the most Computational Modeling Simulation Multiphysics job openings:

Computational Modeling Simulation Multiphysics jobs near you

Modeling & Simulation Engineer (R4869)

San Diego, CA

Shield AI
Software Development • 11 - 50 employees
Learn more about Shield AIexternal

$130K - $200K/yr

Full-time, Part-time

Re-posted 7 hours ago

Key responsibilities

  • Develop models and infrastructure for the integrated simulation pipeline in C++.

  • Design deterministic, high-performance simulation tools capable of faster-than-real-time execution for development, testing, and release.

  • Collaborate across autonomy, embedded, GNC, and test engineering to ensure the simulation mirrors real aircraft behavior and mission scenarios.

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Job Description:
The Aircraft Simulation team is the nerve center of autonomy integration at Shield AI. We deploy the innovative tools, intelligent models, and streamlined processes that make it possible to evaluate complex autonomous flight algorithms at scale. Our tools are utilized in a broad range of simulation—from mission autonomy simulation to Hardware-in-the-loop, and every layer between. In an era of rapid advancement in Artificial Intelligence, our goal is simple: make AI fly—safely, reliably, and fast.
As a Staff Modeling & Simulation Engineer, you will be a pivotal force in engineering Shield AI’s foundational simulation platform for our next-generation VTOL aircraft. You’ll develop our emerging simulation engine and deploy advanced aircraft models in C++ across multiple engineering domains—ranging from mathematical physics to the latest in surrogate machine learning methods. You will also utilize your multiphysics and aeronautical systems knowledge to conduct system performance analysis against test and vendor data to ensure simulation results are valid in operational scenarios, and simulation platforms are both stable and fast. 
What you'll do:
  • Develop infrastructure and models in C++ for autonomous aircraft simulation.
  • Serve as a subject matter expert in modern aerospace and software engineering.
  • Architect deterministic, high-performance simulation software.
  • Lead verification and validation (V&V) analysis studies on models and model tooling.
  • Collaborate tightly across autonomy, embedded, GNC, and test engineering teams to ensure our simulation mirrors real aircraft behavior and mission scenarios.
  • Contribute to platform-agnostic simulation tooling to accelerate future development efforts.
  • Train and guide junior engineers in modeling and simulation best practices.
Required qualifications:
  • BS in Computer Science, Aerospace, Robotics, or related field.
  • 7+ years of experience in simulation software development with C++ competency; exceptional candidates with less experience and demonstrated depth will be considered.
  • Strong understanding of rigid-body dynamics, kinematics, and the physics of dynamic systems.
  • Proven experience developing or integrating simulation systems for robotics, aerospace, and/or other complex dynamic systems (e.g., maritime, space, defense ground systems, or gaming).
  • Ability to debug complex build and runtime environments.
  • Experience with simulation verification and validation.
  • Strong communication skills across software, hardware, and systems disciplines.
  • Must be eligible to obtain a Secret Clearance; Secret clearance eligibility requires US Citizenship.
Preferred qualifications:
  • MS or PhD in Computer Science, Aerospace, Robotics, or related field.
  • Familiarity with modern C++ standards (C++20 or later).
  • Grasp of real-time and deterministic software design, including multi-threading, synchronization, and memory management. 
  • Experience with DevOps-integrated simulation workflows, including CI/CD and automated testing environments.
  • Experience with Hardware- and Software-in-the-Loop simulation environments, including integration of real hardware into simulation environments.
  • Experience with CMake, package management tools (e.g. Conan, Nix), and profiling tools.
  • Experience with software testing tools (GTest, etc.)
  • Working knowledge of Python for data analysis, test automation, or simulation orchestration.
  • Experience working on autonomous aircraft systems.
  • Active Secret or Top Secret Clearance is desired.
#LI-AA1
#LD

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
###
 
Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

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.