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Modeling Simulation Jobs in Massachusetts (NOW HIRING)

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.

Draper

Distinguished Simulation Engineer

Cambridge, MA

$100K - $275K/yr

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

Draper

Distinguished Simulation Engineer

Cambridge, MA · On-site

$100K - $275K/yr

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

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Showing results 41-60

All JobsModeling Simulation JobsModeling Simulation Jobs in Massachusetts

Modeling Simulation information

See Massachusetts salary details

$42.6K

$110.6K

$157.3K

How much do modeling simulation jobs pay per year?

As of Aug 21, 2026, the average yearly pay for modeling simulation in Massachusetts is $110,583.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,700.00 and $141,400.00 per year, depending on experience, location, and employer.

What is modeling and simulation?

Modeling and simulation is the process of creating and using digital models to represent real-world systems, processes, or phenomena in order to analyze and predict their behavior. Professionals in this field use specialized software and mathematical techniques to simulate scenarios, test hypotheses, and optimize performance without the risk or expense of real-world experimentation. This approach is widely used in industries such as engineering, defense, healthcare, and manufacturing to improve decision-making, training, and system design.

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

To thrive as a Modeling and Simulation Specialist, you need strong analytical skills, a solid foundation in mathematics and statistics, and typically a degree in engineering, computer science, or a related field. Familiarity with simulation software (such as MATLAB, Simulink, or Arena), programming languages (like Python or C++), and sometimes certifications in modeling tools are highly valuable. Critical thinking, problem-solving, and effective communication are soft skills that help professionals interpret complex data and collaborate with multidisciplinary teams. These skills ensure accurate model development, insightful analysis, and successful application of simulations to real-world problems.

How do professionals in modeling simulation typically collaborate with cross-functional teams during a project?

Modeling Simulation professionals often work closely with engineers, software developers, analysts, and project managers to develop accurate models and simulations for various applications. Collaboration usually involves gathering requirements, integrating domain expertise, validating simulation results, and refining models based on feedback. Regular meetings and iterative development cycles are common, helping ensure that models align with project goals and stakeholder needs. This interdisciplinary approach is essential for delivering robust solutions and often leads to valuable learning and career growth opportunities.

What is the difference between Modeling Simulation vs Mechanical Engineer?

AspectModeling SimulationMechanical Engineer
Required CredentialsBachelor's or higher in engineering, computer science, or related fields; proficiency in simulation softwareBachelor's or higher in mechanical engineering; often professional engineering license
Work EnvironmentSoftware development, research labs, engineering firmsManufacturing plants, design offices, R&D departments
Industry UsageDesign validation, system analysis, virtual prototypingProduct design, testing, manufacturing processes
Common Search/ComparisonModeling Simulation vs Mechanical Engineer

Modeling Simulation specialists focus on creating virtual models and running simulations to analyze system behaviors, often requiring programming skills and software expertise. Mechanical Engineers design, develop, and test physical products and systems, utilizing their engineering knowledge in practical applications. While both roles overlap in engineering principles, Modeling Simulation emphasizes virtual analysis, whereas Mechanical Engineering centers on physical product development.

How to become a modeling and simulation engineer?

To become a modeling and simulation engineer, typically a bachelor's degree in engineering, computer science, or a related field is required, with many roles preferring a master's degree or higher. Strong skills in programming languages such as C++, Python, or MATLAB, along with experience in simulation software and systems modeling, are essential. Gaining relevant experience through internships, certifications, or projects can improve job prospects in this specialized field.

Is modeling a high paying job?

Modeling can be a high-paying career for top professionals, especially those who work with major brands or in high-demand markets. However, income varies widely based on experience, market, and specialization, with many models earning modest wages early in their careers. Success often depends on factors like portfolio quality, networking, and market demand.
Modeling Simulation jobs near you
Infographic showing various Modeling Simulation job openings in Massachusetts as of August 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $110,583 per year, or $53.2 per hour.

Senior Software Engineer II - Modeling and Simulation

Scientific Systems Company, Inc.

Burlington, MA • Hybrid

$142K - $180K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago

Job description

The Senior Software Engineer II position in AI/Autonomy systems development will emphasize modeling/simulation (M+S) and software testing of complex autonomy systems in operationally realistic scenarios. The successful applicant will be responsible for developing and supporting advanced M+S infrastructure for testing and evaluation of AI/Autonomy-enabled systems in multiple domains.

 Essential Functions:

  • Develop advanced M+S infrastructure, and support testing of multi-vehicle autonomy for operational environments.
  • Provide relevant technical expertise as part of a team to design, implement, simulate, and test autonomy software systems for uncrewed, multi-vehicle autonomy systems.
  • Support presentation of technical information and data to internal and external customers.
  • This role may require occasional travel (10%) when necessary.
  • Must be able to obtain and maintain a United States Secret Security Clearance.

Requirements

Basic Qualifications:

  • Bachelor's degree (or higher) in Engineering, Computer Science, Data Science, Math, Statistics, Robotics or related subject area and 5+ years of related experience.
  • Experience in Advanced Framework for Simulation, Integration and Modeling environment including developing new scenarios and models; C++ plugins to AFSIM; interfaces to JSE; and configuration-managed large-scale simulation test data.
  • Prior experience in model-in-the-loop (MIL), software-in-the-loop (SIL), digital twin and/or LVC testing of advanced AI/autonomy software technologies.
  • Experience with C/C++, Python, and relevant high-performance compute (HPC) infrastructure used for large-scale, distributed simulation (DIS) environments.
  • Experience working with software technologies for Robotics, Machine Learning, and/or Multi-agent AI/Autonomy Systems.
  • Experience with modern software development tool chains and processes (Agile, git/Gitlab/Github, Confluence/Jira, CI/CD and automated test methodologies, etc.).

Preferred Qualifications:

  • Established history of successfully leading small-team implementation of advanced AI/Autonomy software technologies and effective technical communications.
  • Working knowledge of USG DoD mission data systems and datalink architectures, such as JSE, OMS, UMAA, FACE, DDS, ROS, STANAG 4586, J-Series.

Benefits

  • Salary: $142,000 - $180,000 (Depends on Experience)
  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Family Leave (Maternity, Paternity)
  • Short Term & Long Term Disability.
  • Training & Development
  • Hybrid Work Schedule
  • Free Food & Snacks
  • Wellness Resources
  • Employee Stock Ownership Plan

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