ZipRecruiter

Log In

1

Robotic Simulation Engineer Jobs in Massachusetts

next page

Showing results 1-20

All JobsRobotic Simulation Engineer JobsRobotic Simulation Engineer Jobs in Massachusetts

Robotic Simulation Engineer information

See Massachusetts salary details

$31.7K

$115.3K

$184.6K

How much do robotic simulation engineer jobs pay per year?

As of Jul 26, 2026, the average yearly pay for robotic simulation engineer in Massachusetts is $115,334.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,200.00 and $138,700.00 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 in the Robotic Simulation Engineer position, and why are they important?

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.

What are the most commonly searched types of Robotic Simulation Engineer jobs in Massachusetts? The most popular types of Robotic Simulation Engineer jobs in Massachusetts are:
What are popular job titles related to Robotic Simulation Engineer jobs in Massachusetts? For Robotic Simulation Engineer jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Robotic Simulation Engineer jobs in Massachusetts look for? The top searched job categories for Robotic Simulation Engineer jobs in Massachusetts are:
What cities in Massachusetts are hiring for Robotic Simulation Engineer jobs? Cities in Massachusetts with the most Robotic Simulation Engineer job openings:
Robotic Simulation Engineer jobs near you
Infographic showing various Robotic Simulation Engineer job openings in Massachusetts as of July 2026, with employment types broken down into 88% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $115,334 per year, or $55.4 per hour.

Humanoid Robotic Engineer

Hyphen Connect Limited

Boston, MA

Other

Posted 3 days ago

Job description

We are searching for a Humanoid Robotic Engineer specialized in bipedal locomotion and manipulation. This role involves designing and implementing sophisticated control algorithms, with a focus on Reinforcement Learning, to enhance the performance of robotic systems both in simulation and real-world applications.

Responsibilities:

  • Develop and implement advanced control algorithms for bipedal locomotion and manipulation.
  • Train Reinforcement Learning (RL) policies in simulation and deploy them on physical hardware.
  • Conduct sim-to-real transfer and analyze gait/kinematics telemetry.

Required Skills:

  • Strong background in Model Predictive Control (MPC) and Whole-Body Control.
  • Extensive experience with robotic simulation environments (e.g., NVIDIA Isaac Sim, MuJoCo).
  • Familiarity with modern RL frameworks.

Apply