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Modeling And Simulation Engineer Jobs in Berkeley, CA

Zoox

Simulation Expert Triage Engineer

Foster City, CA

$122K - $185K/yr

... modeling and simulations of complex systems at scale. These tools aid in measuring the safety of ... We are looking for an experienced system triage engineer who can evaluate and synthesize AI-driving ...

Zoox

Simulation Expert Triage Engineer

Foster City, CA · On-site

$122K - $185K/yr

... modeling and simulations of complex systems at scale. These tools aid in measuring the safety of ... We are looking for an experienced system triage engineer who can evaluate and synthesize AI-driving ...

Zoox

Simulation Expert Triage Engineer

Foster City, CA · On-site

$122K - $185K/yr

... modeling and simulations of complex systems at scale. These tools aid in measuring the safety of ... We are looking for an experienced system triage engineer who can evaluate and synthesize AI-driving ...

Mytra

Senior Modeling & Optimization Engineer

Brisbane, CA · On-site

$125K - $172K/yr

The Senior Modeling & Optimization Engineer will analyze operational data and build simulation models to validate warehouse designs, ultimately supporting customer engagements and influencing product ...

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Showing results 21-40

All JobsModeling And Simulation Engineer JobsModeling And Simulation Engineer Jobs in Berkeley, CA

Modeling And Simulation Engineer information

See Berkeley, CA salary details

$47.8K

$151.1K

$233.3K

How much do modeling and simulation engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for modeling and simulation engineer in Berkeley, CA is $151,095.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,600.00 and $179,400.00 per year, depending on experience, location, and employer.

What is a modeling and simulation engineer?

Modeling and Simulation Engineers are professionals who use mathematical models and computer simulations to analyze complex systems and predict their behavior. They work in various industries, including aerospace, defense, healthcare, and manufacturing, to improve product design, optimize processes, and support decision-making. Their work often involves creating virtual prototypes, running simulations to test different scenarios, and interpreting results to provide insights for engineering projects. These engineers typically have strong backgrounds in mathematics, physics, and computer science.

What are the key skills and qualifications needed to thrive as a modeling and simulation engineer?

To thrive as a Modeling and Simulation Engineer, you need a strong background in mathematics, physics, computer science, and engineering principles, typically supported by a relevant degree. Proficiency with simulation software (such as MATLAB, Simulink, or ANSYS), programming languages (like Python or C++), and sometimes certifications in modeling tools are highly valued. Analytical thinking, problem-solving, and effective communication are essential soft skills for translating complex systems into accurate models and collaborating with multidisciplinary teams. These skills are crucial for ensuring the accuracy, reliability, and usability of simulations that inform critical engineering decisions.

What are some common challenges a modeling and simulation engineer faces when integrating new models into existing systems?

A common challenge for Modeling and Simulation Engineers is ensuring that new models are compatible with existing simulation frameworks and data sources. This often involves resolving discrepancies in data formats, model fidelity, and simulation timing, as well as validating that the integrated system produces accurate and reliable results. Collaboration with software developers, data analysts, and subject matter experts is essential to troubleshoot integration issues and maintain system performance. Effective communication and thorough documentation are key to overcoming these integration hurdles.

What is the difference between Modeling And Simulation Engineer vs Systems Engineer?

AspectModeling And Simulation EngineerSystems Engineer
CredentialsBachelor's or Master's in Engineering, Computer Science, or related fields; certifications like INCOSEBachelor's or Master's in Engineering, Systems Engineering, or related fields; certifications like INCOSE
Work EnvironmentDesigning and developing simulation models, testing scenarios in labs or software environmentsIntegrating system components, coordinating across engineering teams, often in project offices
Industry UsageDefense, aerospace, automotive, and manufacturing sectorsDefense, aerospace, IT, and complex system development industries

While both roles require engineering backgrounds and similar certifications, Modeling And Simulation Engineers focus on creating and testing simulation models, whereas Systems Engineers oversee the integration and functionality of entire systems. Both collaborate closely but serve different specialized functions within engineering projects.

What are popular job titles related to Modeling And Simulation Engineer jobs in Berkeley, CA?

For Modeling And Simulation Engineer jobs in Berkeley, CA, the most frequently searched job titles are:

What job categories do people searching Modeling And Simulation Engineer jobs in Berkeley, CA look for?

The top searched job categories for Modeling And Simulation Engineer jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Modeling And Simulation Engineer jobs?

Cities near Berkeley, CA with the most Modeling And Simulation Engineer job openings:

Modeling And Simulation Engineer jobs near you
Infographic showing various Modeling And Simulation Engineer job openings in Berkeley, CA as of August 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 86% In-person, 9% Hybrid, and 5% Remote job distribution, with an average salary of $151,095 per year, or $72.6 per hour.

Forward Deployed Engineer, Physics & Simulation

Periodic Labs

Menlo Park, CA • On-site

$200K - $275K/yr

Full-time

Re-posted 14 days ago

Job description

About Periodic Labs
We're an AI and physical sciences company building state-of-the-art models to accelerate breakthroughs across materials, energy, 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
We're using AI-driven simulation to solve hard physical process optimization problems in advanced manufacturing. As a forward deployed engineer focused on physics and simulation, you will be the technical backbone of our most demanding customer engagements - spending significant time on-site, embedding directly with customer teams, and owning simulation workflows end-to-end.
You'll work with our modeling and ML teams to build and calibrate physics-based simulations, turn customer process knowledge into computational models, and drive recipe optimization with direct feedback loops to production. This is a hands-on, high-ownership role at the frontier of AI for physical science.
This role requires travel to and extended time on-site in Taiwan.
What You'll Do
  • Own the simulation workflow end-to-end for customer engagements, from model setup and calibration through optimization and results interpretation
  • Run, debug and modify physics-based simulations of complex physical processes in diverse domains, such as microfluidics, charge transport and structural deformation
  • Work on-site with customer engineering teams on-site to understand process constraints, interpret simulation results into real process improvements
  • Write tools, skills and agents to reliably drive end-to-end LLM-based simulation workflows, including experimental validation, parameter fitting and recipe optimization
  • Build and extend simulation tooling in Python - job submission, parameter sweeps, output parsing, integration
  • Feed domain insights back to the research and product teams, shaping the next version our platform
You Will Thrive in This Role If You Have
  • A strong foundation in numerical simulation of continuum systems - fluid dynamics, heat transfer, structural mechanics, electromagnetics, or similar - gained through graduate research, industry, or both
  • Hands-on experience solving partial differential equations numerically, including mesh generation, solver tuning, and debugging numerical instabilities
  • Solid Python skills for scripting and scientific computing (NumPy, SciPy, or similar)
  • A process engineer's instinct: you treat simulations as tools for answering real process questions, not just jobs to run
  • Strong communication skills and genuine comfort working directly with customer engineers Willingness to spend extended periods on-site in Taiwan
  • A self-starter mindset: you can take a technical problem from definition to deployed result without much hand-holding
Especially Strong Candidates May Also Have
  • CFD background, including tools like OpenFOAM, ANSYS Fluent, Star-CCM+, or custom solvers
  • Grad-level research experience building simulation software in domains like mechanical or chemical engineering, weather modeling, astrophysics, or materials processing
  • Experience with semiconductor or advanced packaging processes (underfill, flip-chip, wafer bonding, etc.)
  • Familiarity with physics-informed ML, surrogate modeling, or neural operators applied to simulation acceleration
  • Experience integrating simulation tools into larger software platforms or automated optimization pipelines
  • Mandarin proficiency for on-site collaboration in Taiwan
  • Lab or experimental background, with an appreciation for how simulation connects to physical data
Mechanics
Minimum education: Bachelor's degree or similar experience
Location: Menlo Park, CA (Soon: San Francisco, too) + frequent travel to Taiwan
Compensation: $200,000-$275,000 + equity
Visa sponsorship: Yes, we sponsor visas and will do everything we can to assist in this process.

Apply