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Modeling And Simulation Engineer Jobs in Everett, MA

Draper Labs

Simulation Engineer

Cambridge, MA

$62K - $140K/yr

A System Modeling & Simulation Engineer 1 designs, develops, validates, and maintains dynamic simulations and infrastructure for rapid assessment, integration, and test of complex systems. Simulation ...

New

Draper

Simulation Engineer

Cambridge, MA

$62K - $140K/yr

A System Modeling & Simulation Engineer 1 designs, develops, validates, and maintains dynamic simulations and infrastructure for rapid assessment, integration, and test of complex systems. Simulation ...

Draper

Principal Simulation Engineer

Cambridge, MA · On-site

$95K - $245K/yr

A Principal System Modeling & Simulation Engineer designs, develops, validates, and maintains dynamic simulations and infrastructure for rapid assessment, integration, and test of complex systems.

Draper

Principal Simulation Engineer

Cambridge, MA

$95K - $245K/yr

A Principal System Modeling & Simulation Engineer designs, develops, validates, and maintains dynamic simulations and infrastructure for rapid assessment, integration, and test of complex systems.

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All JobsModeling And Simulation Engineer JobsModeling And Simulation Engineer Jobs in Everett, MA

Modeling And Simulation Engineer information

See Everett, MA salary details

$40.2K

$127.1K

$196.1K

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

As of Jun 12, 2026, the average yearly pay for modeling and simulation engineer in Everett, MA is $127,055.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,700.00 and $150,800.00 per year, depending on experience, location, and employer.

What are Modeling and Simulation Engineers?

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 engineers make $300,000 a year?

Senior Modeling and Simulation Engineers with extensive experience, advanced skills in programming, and often working in aerospace, defense, or high-tech industries can earn $300,000 or more annually. These roles typically require advanced degrees, specialized certifications, and leadership responsibilities, often involving complex systems modeling and simulation tools.

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, and why are they important?

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.

Is ml engineer a high paying job?

Machine Learning (ML) engineers typically earn high salaries due to their specialized skills in algorithms, data modeling, and programming languages like Python and TensorFlow. Salaries vary by experience, location, and industry, but they are generally above average compared to many other tech roles.

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 does a modelling and simulation engineer do?

A modeling and simulation engineer develops digital models and simulations to analyze and predict the behavior of systems or processes. They use specialized software, such as MATLAB or Simulink, and often work in engineering, aerospace, defense, or manufacturing environments to support design, testing, and decision-making.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and aerospace engineering can earn $500,000 or more annually, especially with experience, advanced skills, and leadership roles. High compensation often includes bonuses, stock options, or profit sharing, particularly in technology and energy sectors.
What cities near Everett, MA are hiring for Modeling And Simulation Engineer jobs? Cities near Everett, MA 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 Everett, MA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $127,055 per year, or $61.1 per hour.
Principal Modeling and Simulation Engineer

Principal Modeling and Simulation Engineer

Berkshire Grey

Bedford, MA • Remote

Other

Posted 4 days ago

Job description

Salary: Base salary range $140k-$200k

About The Job

Berkshire Grey is a leader in AI-powered robotics, delivering intelligent automation solutions for e-commerce, retail, and logistics. Our systems transform pick, pack, and sort operations through advanced robotics and software.In the role of Principal Modeling and Simulation Engineer, you will lead the development of high-fidelity simulation platforms and digital twins that drive system design, validation, and deployment. This role blendssoftware engineering with modeling and simulation, enabling rapid development, testing, and optimization of complex robotic systems.


You will define and build the simulations that support system-level decision making, accelerate product development, and ensure robust performance in real-world environments.


Responsibilities

  • Architect, design, and develop scalable simulation software systems for robotic and automation solutions.
  • Lead the development and integration of sim environments using tools such as Emulate3D / Sim3D.
  • Design and implement simulation frameworks, APIs, and services that integrate with production robotic software systems.
  • Apply MBSE principles to define system behavior, interfaces, and performance characteristics within simulation environments.
  • Build high-performance, reliable software for system-level modeling, validation, and optimization.
  • Collaborate closely with robotics, perception, controls, and applications teams to ensure alignment between simulation and real-world system behavior.
  • Develop tools and infrastructure for testing, debugging, and validating robotic systems in simulation.
  • Provide technical leadership and mentorship, establishing best practices in simulation and software engineering.
  • Influence engineering strategy and roadmap for modeling, simulation, and system architecture.
  • Analyze system performance, identify risks, and develop mitigation strategies through simulation-driven insights.
  • Communicate technical direction, progress, and tradeoffs to stakeholders across engineering and product teams.


Minimum Qualifications:

Bachelors degree in Computer Science, Robotics, Systems Engineering, or a closely related field.

8+ years of professional experience in software development with a focus on modeling, simulation, or complex systems.

Software development experience in Python and/or C++.


Demonstrated ability to:

  • Architect and deliver large-scale simulation and software systems
  • Operate autonomously and drive projects from concept to production
  • Define and communicate technical strategy, tradeoffs, and priorities
  • Navigate and contribute to large, complex codebases
  • Apply an MVP mindset while scaling solutions from prototype to production

Proficient in:

  • Simulation software development and system modeling frameworks
  • Emulate3D or Sim3D (Rockwell Automation) (required)
  • Nividia Omniverse
  • System design and software architecture
  • Git, Jira, and modern development workflows
  • Linux / Ubuntu environments
  • Code reviews, testing methodologies, and CI/CD practices
  • Software design patterns (modular, scalable, fault-tolerant systems)


Preferred Qualifications:

Experience in robotics, automation, industrial or material handling systems.

Strong experience in one or more of the following:

  • Distributed systems and high-performance simulation environments
  • Robotics simulation, digital twins, and virtual commissioning
  • MBSE tools and methodologies
  • API and SDK development for simulation platforms
  • RESTful and/or gRPC services



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