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Full Time Robotic Simulation Engineer Jobs in Boston, MA

Simulation Engineer

Cambridge, MA · On-site

$75K - $156K/yr

A System Modeling & Simulation Engineer 2 designs, develops, validates, and maintains dynamic ... Massachusetts Job Location - Postal Code: 02139-3563 The US base salary range for this full-time ...

Simulation Engineer

Cambridge, MA · On-site

$62K - $140K/yr

A System Modeling & Simulation Engineer 1 designs, develops, validates, and maintains dynamic ... Massachusetts Job Location - Postal Code: 02139-3563 The US base salary range for this full-time ...

A System Modeling & Simulation Engineer 1 designs, develops, validates, and maintains dynamic ... Massachusetts Job Location - Postal Code: 02139-3563 The US base salary range for this full-time ...

A Principal System Modeling & Simulation Engineer designs, develops, validates, and maintains ... Massachusetts Job Location - Postal Code: 02139-3563 The US base salary range for this full-time ...

A Principal System Modeling & Simulation Engineer designs, develops, validates, and maintains ... Massachusetts Job Location - Postal Code: 02139-3563 The US base salary range for this full-time ...

A System Modeling & Simulation Engineer (DMTS) designs, develops, validates, and maintains dynamic ... Massachusetts Job Location - Postal Code: 02139-3563 The US base salary range for this full-time ...

A System Modeling & Simulation Engineer (DMTS) designs, develops, validates, and maintains dynamic ... Massachusetts Job Location - Postal Code: 02139-3563 The US base salary range for this full-time ...

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Showing results 1-20

Full Time Robotic Simulation Engineer information

See Boston, MA salary details

$31.5K

$114.7K

$183.6K

How much do full time robotic simulation engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for full time robotic simulation engineer in Boston, MA is $114,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,700.00 and $138,000.00 per year, depending on experience, location, and employer.

What is a full time robotic simulation engineer?

A Full Time Robotic Simulation Engineer is a specialist who designs, develops, and tests virtual models of robotic systems to analyze their performance before they are physically built. They use simulation software to create digital twins of robots and their environments, allowing for thorough testing, optimization, and troubleshooting. This role is crucial in industries such as manufacturing, automotive, and logistics, where precision and efficiency are essential. By simulating robots, engineers can identify and solve potential issues, saving time and resources in the development process.

What types of projects and collaborations can a full time robotic simulation engineer expect to be involved in?

As a Full Time Robotic Simulation Engineer, you will typically work on projects that involve creating and testing virtual models of robotic systems to optimize their performance before physical deployment. You can expect to collaborate closely with software developers, mechanical engineers, and project managers to ensure simulation accuracy and integration with real-world hardware. These projects often require iterative testing, data analysis, and troubleshooting, as well as adapting simulations to accommodate evolving project requirements. This role offers exposure to cutting-edge robotics technologies and provides opportunities to contribute to multidisciplinary teams, fostering both technical and collaborative skill growth.

What are the key skills and qualifications needed to thrive as a full time robotic simulation engineer, and why are they important?

To thrive as a Full Time Robotic Simulation Engineer, you need a solid background in robotics, computer science, and engineering, often supported by a relevant degree and experience in simulation environments. Proficiency with simulation tools such as ROS (Robot Operating System), Gazebo, MATLAB/Simulink, and programming languages like Python or C++ is typically required. Strong problem-solving abilities, teamwork, and effective communication are crucial soft skills for collaborating on complex projects and troubleshooting issues. These skills and qualities are important to develop, test, and refine robotic systems efficiently, ensuring reliability and innovation in automation solutions.

What is the difference between Full Time Robotic Simulation Engineer vs Full Time Robotics Software Developer?

AspectFull Time Robotic Simulation EngineerFull Time Robotics Software Developer
CredentialsBachelor's or Master's in Robotics, Mechanical, or Electrical EngineeringBachelor's or Master's in Computer Science, Software Engineering, or Robotics
Work EnvironmentDesigning and testing robotic simulations, using simulation software like Gazebo or V-REPDeveloping software algorithms, coding, and debugging robotics applications
Industry UsagePrimarily in robotics research, manufacturing, and automation companiesIn robotics, automation, and tech companies focusing on software solutions

While both roles involve robotics and software, the Full Time Robotic Simulation Engineer focuses on creating and testing virtual models of robots, whereas the Full Time Robotics Software Developer concentrates on coding and developing robotics software applications. The roles often overlap but differ mainly in their core focus: simulation versus software development.

What are the most commonly searched types of Robotic Simulation Engineer jobs in Boston, MA?

The most popular types of Robotic Simulation Engineer jobs in Boston, MA are:

What are popular job titles related to Full Time Robotic Simulation Engineer jobs in Boston, MA?

For Full Time Robotic Simulation Engineer jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Full Time Robotic Simulation Engineer jobs in Boston, MA look for?

The top searched job categories for Full Time Robotic Simulation Engineer jobs in Boston, MA are:

Infographic showing various Full Time Robotic Simulation Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 85% In-person, 7% Hybrid, and 8% Remote job distribution, with an average salary of $114,729 per year, or $55.2 per hour.

Principal Modeling and Simulation Engineer

Berkshire Grey

Bedford, MA • On-site

$140K - $190K/yr

Full-time

Re-posted 17 days ago


Job description

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.
Strong development expertise 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
  • Asynchronous / concurrent programming
  • 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, 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

Experience with:
  • Data analysis and performance profiling (Python, pandas, logging frameworks)
  • Containerization and orchestration (Docker, Kubernetes)
  • NoSQL databases (e.g., MongoDB)
  • Hardware-in-the-loop (HIL) or software-in-the-loop (SIL) testing

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 advanced 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.

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