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

Vrtx

Modeling & Simulations Associate Director

Boston, MA · Hybrid

$168K - $252K/yr

By using state of the art Modeling & Simulation methodologies strongly contribute to critical decision making like study design, dose selection, probability of success estimation etc. * Independently ...

Vrtx

Modeling & Simulations Associate Director

Boston, MA · Hybrid

$168K - $252K/yr

By using state of the art Modeling & Simulation methodologies strongly contribute to critical decision making like study design, dose selection, probability of success estimation etc. * Independently ...

SLB

Modeling & Simulation Research Scientist

Cambridge, MA · On-site

$105K - $213K/yr

Schlumberger-Doll Research (SDR), SLB's global research and innovation center, is seeking a Modeling & Simulation Research Scientist to join our multidisciplinary team in Cambridge, Massachusetts ...

New

Draper

Simulation Engineer

Cambridge, MA · On-site

$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

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 ...

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All JobsModeling And Simulation JobsModeling And Simulation Jobs in Boston, MA

Modeling And Simulation information

See Boston, MA salary details

$42.4K

$110K

$156.4K

How much do modeling and simulation jobs pay per year?

As of Aug 31, 2026, the average yearly pay for modeling and simulation in Boston, MA is $110,004.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,300.00 and $140,700.00 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 Boston, MA?

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

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

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

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

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

Modeling And Simulation jobs near you
Infographic showing various Modeling And Simulation job openings in Boston, MA as of August 2026, with employment types broken down into 84% Full Time, 12% Part Time, and 4% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $110,004 per year, or $52.9 per hour.

Staff Engineer, Modeling & Simulation (R4869)

Shield AI

Boston, MA • On-site

Full-time, Part-time

Re-posted 18 days ago

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Job Description:

The Aircraft Simulation team turns frontier autonomy into mission-ready aircraft. We own the commit-to-flight pipeline—deterministic aircraft and mission simulation, HITL/SITL integration, CI/CD, and tooling for automated flight qualification testing. Our goal is simple: make AI fly—safely, reliably, and fast.

As a Staff Modeling & Simulation Engineer, you will be dedicated to Shield AI’s next-generation aircraft program, contributing to our emergent modeling & simulation tooling. You’ll design, build, and scale novel aircraft subsystem models, develop infrastructure that enables robust automated testing for our next generation XBAT product line, and conduct system performance analysis.

What you'll do:
  • Develop models and infrastructure for the integrated simulation pipeline in C++.
  • Design deterministic, high-performance simulation tools capable of faster-than-real-time execution for development, testing, and release.
  • Implement test scenarios and write unit, system, and regression tests.
  • Collaborate across autonomy, embedded, GNC, and test engineering to ensure the simulation mirrors real aircraft behavior and mission scenarios.
  • Contribute to platform-agnostic simulation tooling to accelerate current and future aircraft design and development efforts.
  • Perform verification and validation (V&V) analysis activities on modeling tools.
  • Conduct system performance analysis and generate reports and visualizations.
  • Utilize best practices in C++, simulation architecture, and performance engineering.
Required qualifications:
  • BS or MS in Computer Science, Aerospace, Robotics, or related field.
  • 7+ years of experience in simulation software development, with emphasis on modern C++ (C++17 or later) and performance optimization.
  • Strong understanding of rigid-body dynamics, kinematics, aerodynamics, and sensor mechanics.
  • Proven experience developing or integrating simulation systems for robotics, aerospace, and/or autonomous systems.
  • Ability to debug complex build and runtime environments (CMake, package management, logging, and profiling tools).
  • Experience with software testing tools (GTest, etc.)
  • Experience with simulation V&V.
  • Strong collaboration and communication skills across software, hardware, and systems disciplines.
  • Ability to obtain a S//SAR level security clearance desired.
Preferred qualifications:
  • Grasp of real-time and deterministic software design, including multi-threading, synchronization, and memory management.
  • Experience with DevOps-integrated simulation workflows, including CI/CD and automated hardware testing environments.
  • Working knowledge of Python for data analysis, test automation, or simulation orchestration.
  • Familiarity with aircraft and flight physics modeling.
#LI-SM1
#LD

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.