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Modeling And Simulation Jobs in Cambridge, MA (NOW HIRING)

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

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

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

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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Modeling And Simulation information

See Cambridge, MA salary details

$42.6K

$110.7K

$157.4K

How much do modeling and simulation jobs pay per year?

As of Aug 23, 2026, the average yearly pay for modeling and simulation in Cambridge, MA is $110,669.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,800.00 and $141,500.00 per year, depending on experience, location, and employer.

What is a modeling and simulation job?

Modeling and simulation jobs involve creating digital or mathematical models to represent real-world systems, processes, or phenomena, and then using simulations to analyze their behavior under various scenarios. Professionals in this field use specialized software and computational techniques to predict outcomes, optimize designs, and inform decision-making in industries like engineering, defense, healthcare, and manufacturing. These roles often require strong analytical skills, proficiency in programming, and a background in mathematics or science. Modeling and simulation experts help organizations save time and resources by testing ideas virtually before applying them in real life.

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 abilities, proficiency in mathematics, and a background in computer science or engineering, often supported by a relevant degree. Expertise with simulation software (such as MATLAB, Simulink, or Arena), programming languages (like Python or C++), and knowledge of modeling standards is typically required. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and collaborating with multidisciplinary teams. These skills ensure accurate models, effective simulations, and actionable insights that drive decision-making in complex systems.

What are some common challenges faced by professionals in modeling and simulation roles, and how can they be addressed?

Professionals in Modeling and Simulation often encounter challenges such as integrating complex data from multiple sources, ensuring model accuracy, and communicating technical results to non-technical stakeholders. Addressing these challenges typically involves close collaboration with subject matter experts, ongoing model validation and verification, and using clear visualizations to explain insights. Building strong interdisciplinary communication skills and staying current with evolving simulation tools can also help professionals effectively navigate these challenges.

What is the difference between Modeling And Simulation vs Data Analyst?

AspectModeling And SimulationData Analyst
Required CredentialsBachelor's or higher in engineering, computer science, or related fields; often certifications in simulation softwareBachelor's in statistics, mathematics, or related fields; certifications in data analysis tools
Work EnvironmentResearch labs, engineering firms, government agenciesBusiness, finance, healthcare, or tech companies
Industry UsageEngineering, defense, aerospace, manufacturingFinance, marketing, healthcare, technology
Common Search & ComparisonModeling And Simulation vs Data Analyst

While both roles involve data and technical skills, Modeling And Simulation focuses on creating models to predict and analyze systems, often in engineering or scientific contexts. Data Analysts interpret data to inform business decisions. The roles share skills but differ in application and industry focus.

What are popular job titles related to Modeling And Simulation jobs in Cambridge, MA?

For Modeling And Simulation jobs in Cambridge, MA, the most frequently searched job titles are:

What job categories do people searching Modeling And Simulation jobs in Cambridge, MA look for?

The top searched job categories for Modeling And Simulation jobs in Cambridge, MA are:

What cities near Cambridge, MA are hiring for Modeling And Simulation jobs?

Cities near Cambridge, MA with the most Modeling And Simulation job openings:

Infographic showing various Modeling And Simulation job openings in Cambridge, MA as of August 2026, with employment types broken down into 79% Full Time, 9% Part Time, and 12% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $110,669 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 10 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