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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 Jul 19, 2026, the average yearly pay for 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 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 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 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.

Sr. Software Engineer, Multiagent Simulation

FieldAI

Boston, MA • On-site

Full-time

Posted 16 days ago

Job description

Job Summary:
FieldAI is transforming how robots interact with the real world. They are seeking passionate engineers to play a vital role in the development of multi-robot simulation and fleet orchestration, working in a fast-paced environment to build realistic simulation environments for robots.
Responsibilities:
• Architect high-fidelity multi-robot simulation scenes (terrain, sensors, dynamic obstacles) and scale from single-agent tests to fleet scenarios.
• Integrate physics, perception, and comms models so agents behave realistically at fleet scale.
• Implement and evaluate fleet-level task allocation, coordination, and planning inside simulation.
• Build declarative mission tooling to run thousands of orchestration experiments and profile performance across latency, heterogeneity, and environment complexity.
• Calibrate simulation to real-world telemetry with field teams and reduce the sim-to-real gap.
• Build domain randomization, scenario generation, and automated regression/benchmark gates for fleet orchestration releases.
• Design logging, metrics, and visualization so every run yields actionable data and fleet KPIs (throughput, collisions, comms overhead, idle time).
• Maintain reproducible experiment infrastructure with versioned scenes, configs, and results.
• Partner with perception, planning, learning, DevOps, and infrastructure teams to run large-scale simulation and raise standards for fidelity, coverage, and release quality.
Qualifications:
Required:
• MS or PhD in Computer Science, Robotics, Aerospace, or a related field (or equivalent industry experience).
• 7+ years hands-on experience building simulation environments for robotics or autonomous systems.
• Proficiency in Python and C++; comfort reading and extending large codebases.
• Working knowledge of robotics simulation engines (e.g., MuJoCo, NVIDIA Isaac Sim, Genesis).
• Experience with multi-robot or multi-agent systems: task allocation, distributed planning, swarm coordination, or fleet management.
• Familiarity with standard robotics middleware.
• Strong problem-solving skills and ability to thrive in fast-paced, interdisciplinary teams.
• Ability to translate research into practical, field-deployable systems.
Preferred:
• Publications or open-source contributions in multiagent systems, multi-robot planning, or fleet coordination (ICRA, RSS, IROS, AAMAS, CoRL).
• Experience with domain randomization, synthetic data generation, or sim-to-real transfer at scale.
• Background in distributed systems or cloud-based simulation orchestration.
• Hands-on work with real robot fleets in field environments (e.g., construction, mining, logistics, defense).
• Contributions to open-source robotics or simulation frameworks.
Company:
FieldAI is building general robot intelligence for the physical world. Founded in 2023, the company is headquartered in Mission Viejo, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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