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Home Based Robotic Simulation Engineer Jobs in Boston, MA

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Home Based Robotic Simulation Engineer information

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$31.5K

$114.7K

$183.6K

How much do home based robotic simulation engineer jobs pay per year?

As of Jul 31, 2026, the average yearly pay for home based 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 are Home Based Robotic Simulation Engineers?

Home Based Robotic Simulation Engineers are professionals who design, develop, and test robotic systems using simulation software, all while working remotely from their homes. They create virtual models of robotic equipment or processes to analyze performance, troubleshoot issues, and optimize designs before actual implementation. This role typically involves using specialized simulation tools, collaborating with cross-functional teams online, and ensuring that robotic solutions meet technical and operational requirements.

What are the key skills and qualifications needed to thrive as a Home Based Robotic Simulation Engineer, and why are they important?

A Home Based Robotic Simulation Engineer typically requires a background in robotics, computer science, or engineering, with strong programming skills in languages such as Python or C++. Familiarity with simulation tools like ROS (Robot Operating System), Gazebo, or MATLAB Simulink, and relevant certifications in robotics or automation are highly valued. Excellent problem-solving abilities, self-motivation, and effective remote communication skills help individuals excel in a virtual work environment. These competencies are crucial for developing accurate robotic simulations, collaborating with remote teams, and delivering innovative automation solutions.

How does a Home Based Robotic Simulation Engineer typically collaborate with on-site engineering teams and clients?

A Home Based Robotic Simulation Engineer often works remotely but remains highly connected to both on-site engineering teams and clients through regular video meetings, screen sharing, and collaborative project management tools. They contribute by developing and testing robotic simulations, then sharing results and updates for review and feedback. Effective communication and documentation are crucial, as is the ability to troubleshoot issues remotely and align with the broader project goals. This collaborative approach ensures that simulation models are accurate and meet client specifications, while also supporting seamless integration with physical robotics systems.
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:
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Home Based Robotic Simulation Engineer jobs near you
Infographic showing various Home Based Robotic Simulation Engineer job openings in Boston, MA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $114,729 per year, or $55.2 per hour.

Humanoid Robotic Engineer

Hyphen Connect Limited

Boston, MA

Other

Re-posted 7 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