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Modeling And Simulation Engineer Jobs in Stanford, CA

1X Technologies AS

Simulation Engineer

San Carlos, CA · On-site

$119K - $203K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We develop the models and tools that allow teams to predict performance, understand failure modes ... As a Simulation Engineer, you'll help transform complex physical systems into predictive ...

HammerheadAI

Simulation Engineer

Redwood City, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

Reporting to the CTO, you will model the complex interplay of power, thermal dynamics, and ... Strong Programming Skills: Proficiency in Python, Go and/or C++ and experience with simulation ...

Humble Robotics

Simulation Engineer

San Francisco, CA · On-site +1

Gaussian splatting, world models, and learned sensor models. We're a small team early in the build. You'll have real influence over both what we build and how we build it. Key Responsibilities

Hammerhead AI

Simulation Engineer

Redwood City, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

Reporting to the CTO, you will model the complex interplay of power, thermal dynamics, and ... Strong Programming Skills: Proficiency in Python, Go and/or C++ and experience with simulation ...

Apple

Material Modeling and Simulation Engineer

San Jose, CA

$120K - $249K/yr

  • Medical

  • Dental

  • Retirement

As a Material Modeling and Simulation Engineer, you'll develop and validate simulation methodologies that drive strong correlation between simulation results and physical measurements - partnering ...

DensityAI

Simulation Engineer

Mountain View, CA

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Design, build, and maintain the software simulators and models of our AI accelerator - functional / ISA simulators, cycle-approximate performance models, and the C++/Python infrastructure around them

DensityAI

Simulation Engineer

Mountain View, CA · On-site

$200K - $360K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Design, build, and maintain the software simulators and models of our AI accelerator - functional / ISA simulators, cycle-approximate performance models, and the C++/Python infrastructure around them

OpenAI

Lead Thermal Simulation Engineer

San Francisco, CA · On-site

$342K - $445K/yr

Working across the entire model stack, we integrate cutting-edge hardware and software to explore a ... About the Role We are seeking a lead thermal simulation engineer to help accelerate the design and ...

DensityAI

Simulation Engineer

Mountain View, CA

$200K - $360K/yr

Design, build, and maintain the software simulators and models of our AI accelerator -- functional / ISA simulators, cycle-approximate performance models, and the C++/Python infrastructure around ...

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

Modeling And Simulation Engineer information

See Stanford, CA salary details

$45.8K

$145K

$223.8K

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 Stanford, CA is $144,989.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,100.00 and $172,100.00 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 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 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 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 cities near Stanford, CA are hiring for Modeling And Simulation Engineer jobs?

Cities near Stanford, 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 Stanford, CA as of August 2026, with employment types broken down into 83% Full Time, 11% Part Time, 1% Temporary, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $144,989 per year, or $69.7 per hour.

Modeling and Simulation Engineer

Maven Robotics

San Francisco, CA • On-site

Full-time

Posted 13 days ago

Job description

Role Description
We are looking to recruit an exceptional Modeling & Simulation Engineer to work on our robot models, environment models, and simulation pipeline.
In this role you will:
  • Define simulation requirements
  • Develop performant, cutting-edge mathematical models of robots, manipulators and the scenes in which they operate
  • Strike the perfect balance between fidelity and computational complexity
  • Integrate simulation-based assessment into CI/CD pipelines in a way that scales
  • Make simulation an indispensable part of our entire design, development and deployment process

You will be working closely with the Simulation, Motion Planning & Controls, Field Operations and Intelligence teams.
Qualifications
Must-have:
  • MS or PhD in engineering, mathematics, computer science or a related discipline
  • Experience in mathematical modeling of complex dynamic systems
  • Ability to take ownership of a large, strategically important development project and drive its success
  • Willingness to step in and support other teams when we have tight deadlines and problems to solve

Nice-to-have:
  • Familiarity with environments for robotic simulation including Isaac Sim
  • Experience in some combination of:
    • applied optimization
    • modeling of mechanical contact
    • creation of detailed 3D world models
    • GPU acceleration of physics simulations
    • deployment of numerically-intensive simulations to cloud compute platforms
    • integration of simulation tests into CI/CD pipelines
    • creation of simulation test cases from real-world data
    • simulation for HiL testing

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