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Automation Simulation Engineer Jobs in Boston, MA

Flexcompute Inc.

Senior Design Automation Engineer

Watertown, MA · On-site

$113.10K - $148.50K/yr

Our company was founded by world-renowned leaders in simulation technology from Stanford University and MIT. Backed by top VC firms, we are poised to disrupt the billion-dollar engineering simulation ...

Flexcompute Inc.

Senior Design Automation Engineer

Watertown, MA · On-site

$113.10K - $148.50K/yr

Our company was founded by world-renowned leaders in simulation technology from Stanford University and MIT. Backed by top VC firms, we are poised to disrupt the billion-dollar engineering simulation ...

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All JobsAutomation Simulation Engineer JobsAutomation Simulation Engineer Jobs in Boston, MA

Automation Simulation Engineer information

See Boston, MA salary details

$42.4K

$134.1K

$207K

How much do automation simulation engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for automation simulation engineer in Boston, MA is $134,061.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,900.00 and $159,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Automation Simulation Engineer, and why are they important?

To thrive as an Automation Simulation Engineer, you need a solid background in engineering principles, control systems, and process automation, usually supported by a degree in electrical, mechanical, or automation engineering. Proficiency with simulation software (such as Siemens Tecnomatix, Rockwell Arena, or MATLAB/Simulink), programming languages, and PLC systems is crucial, and certifications in automation or simulation tools are often valued. Strong analytical thinking, attention to detail, and effective communication skills enable you to interpret complex data and collaborate with multidisciplinary teams. These skills are essential to ensure accurate modeling, efficient automation solutions, and successful project outcomes in industrial environments.

How does an Automation Simulation Engineer typically collaborate with cross-functional teams during project development?

Automation Simulation Engineers frequently work alongside controls engineers, mechanical designers, and project managers to ensure simulation models accurately reflect real-world system behaviors. Collaboration often involves participating in design reviews, sharing simulation results, and iterating on model parameters based on feedback from different departments. Effective communication and teamwork are crucial, as simulation insights guide design choices, troubleshoot potential issues, and optimize automation processes before physical implementation. This cross-disciplinary approach ensures smoother project execution and greater system reliability.

What are Automation Simulation Engineers?

Automation Simulation Engineers are professionals who design, develop, and test virtual models of automated systems, such as robotics, manufacturing lines, or industrial processes. They use simulation software to replicate real-world operations, helping companies optimize performance, identify issues, and reduce costs before actual implementation. Their work is crucial in industries like automotive, aerospace, and manufacturing, where efficiency and precision are vital. By simulating automation systems, they enable organizations to make informed decisions and improve overall productivity.

What is the difference between Automation Simulation Engineer vs Automation Test Engineer?

AspectAutomation Simulation EngineerAutomation Test Engineer
Primary FocusDeveloping and validating simulation models for automation systemsDesigning and executing automated tests for software and hardware
Required SkillsSimulation software, control systems, programming (e.g., Python, MATLAB)Testing frameworks, scripting, defect tracking
Work EnvironmentEngineering labs, R&D departments, manufacturing settingsSoftware development teams, QA departments, manufacturing
Industry UsageManufacturing, robotics, industrial automationSoftware development, electronics, automation industries

While both roles involve automation, the Automation Simulation Engineer focuses on creating virtual models to test automation systems, whereas the Automation Test Engineer concentrates on executing automated tests to ensure software and hardware quality. Both roles require technical skills and are vital in automation industries, but their core responsibilities differ significantly.

What are popular job titles related to Automation Simulation Engineer jobs in Boston, MA? For Automation Simulation Engineer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Automation Simulation Engineer jobs in Boston, MA look for? The top searched job categories for Automation Simulation Engineer jobs in Boston, MA are:
Automation Simulation Engineer jobs near you
Principal Modeling and Simulation Engineer

Principal Modeling and Simulation Engineer

Berkshire Grey

Bedford, MA • On-site

$140K - $200K/yr

Full-time

Posted 21 days ago

Job description

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 blends software 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:
Bachelor's 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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