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Robotic Simulation Engineer information

See Boston, MA salary details

$31.5K

$114.7K

$183.6K

How much do robotic simulation engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for robotic simulation engineer in Boston, MA is $114,710.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,700.00 and $137,900.00 per year, depending on experience, location, and employer.

What does a typical workday look like for a robotic simulation engineer?

A typical day for a Robotic Simulation Engineer often involves designing and implementing simulation models, testing robotic systems virtually, and analyzing simulation data to improve system performance. You’ll collaborate closely with robotics developers, software engineers, and project managers to integrate simulation results into real-world applications. The work may also include troubleshooting issues in simulations, adjusting parameters, and preparing reports or presentations for stakeholders. This role is usually part of a multidisciplinary team in industries like manufacturing, automotive, or research, providing opportunities to learn from and contribute to cutting-edge robotics projects.

What does a robotic simulation engineer do?

A Robotic Simulation Engineer designs, develops, and tests virtual models of robotic systems before physical implementation. They use simulation software to analyze robot behavior, optimize performance, and validate control algorithms in a virtual environment. This helps reduce development costs, identify potential issues early, and improve overall system efficiency. Their work is essential in industries like manufacturing, automation, and autonomous vehicle development.

What are the key skills and qualifications needed to thrive as a robotic simulation engineer?

To thrive as a Robotic Simulation Engineer, you need a strong background in robotics, mechanical or electrical engineering, and proficiency in simulation and modeling, typically supported by a relevant degree. Expertise with tools such as ROS (Robot Operating System), MATLAB/Simulink, Gazebo, or Unity, and familiarity with programming languages like Python or C++ are commonly required, alongside industry certifications if applicable. Analytical thinking, effective communication, and strong problem-solving skills set candidates apart in this field. These capabilities enable engineers to design, test, and refine complex robotic systems in simulated environments, greatly reducing development time and improving real-world performance.

Are robotic simulation engineers in demand?

Robotic simulation engineers are in high demand due to the growing use of robotics in manufacturing, healthcare, and automation industries. They typically require skills in programming, simulation software, and robotics systems, and job opportunities are expanding as companies seek to optimize robotic development and deployment.

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 Robotic Simulation Engineer jobs in Boston, MA?

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

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

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

Robotic Simulation Engineer jobs near you
Infographic showing various Robotic Simulation Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 89% Full Time, 5% Part Time, and 6% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $114,710 per year, or $55.1 per hour.

Principal Modeling and Simulation Engineer

Berkshire Grey

Bedford, MA • Remote

Other

Re-posted 7 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.



6111-2603JK