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Robotics Simulation Jobs (NOW HIRING)

Team Red Dog

AI Robotics Engineer

Redmond, WA · On-site

Robotics Simulation & Machine Learning - Experience working with simulation environments or robotic hardware, including reinforcement learning, diffusion models, or robotic AI workflows. Opportunity ...

Team Red Dog

AI Robotics Engineer

Redmond, WA · On-site

Robotics Simulation & Machine Learning - Experience working with simulation environments or robotic hardware, including reinforcement learning, diffusion models, or robotic AI workflows. Opportunity ...

Waltonen

Robotic Simulation

Warren, MI · On-site

Report to Robotic Simulation Lead * Utilize Process Simulate to simulate the movement of robotic systems * Ensure the robotic layout is collision-free, makes rate, and meets customer standards

Waltonen

Robotic Simulation

Warren, MI · On-site

Report to Robotic Simulation Lead * Utilize Process Simulate to simulate the movement of robotic systems * Ensure the robotic layout is collision-free, makes rate, and meets customer standards

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Robotics Simulation information

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$67.6K

$121.5K

How much do robotics simulation jobs pay per year?

As of Aug 9, 2026, the average yearly pay for robotics simulation in the United States is $67,601.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $79,500.00 per year, depending on experience, location, and employer.

What is robotics simulation?

Robotics simulation is the use of computer software to model and test the behavior of robots in a virtual environment. This allows engineers and researchers to design, program, and optimize robots without needing physical prototypes, saving time and resources. Simulations can replicate real-world conditions, enabling the analysis of robot movement, sensor data, and task performance before implementation. Robotics simulation is commonly used in developing autonomous systems, industrial automation, and research applications.

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

To thrive as a Robotics Simulation Engineer, you need a strong background in robotics, computer science, and mathematics, often supported by a relevant degree such as electrical engineering or mechanical engineering. Familiarity with simulation tools like Gazebo, ROS (Robot Operating System), MATLAB/Simulink, and programming languages such as Python or C++ is essential. Problem-solving, attention to detail, and effective teamwork are key soft skills that help in designing and refining complex simulation models. These abilities are crucial for creating accurate simulations that accelerate development, testing, and deployment of robotic systems.

What is the difference between Robotics Simulation vs Robotics Software Engineer?

AspectRobotics SimulationRobotics Software Engineer
Required CredentialsBachelor's in Robotics, Computer Science, or related; experience with simulation toolsBachelor's or higher in Computer Science, Robotics, or related; programming skills
Work EnvironmentResearch labs, simulation platforms, development teamsSoftware development teams, robotics companies, tech firms
Industry UsageTesting algorithms, virtual prototyping, system validationDeveloping robot control software, algorithms, and integration
Common Search/ComparisonYesYes

Robotics Simulation focuses on creating virtual environments to test and validate robotic systems, while Robotics Software Engineers develop the actual software that controls robots. Both roles often collaborate but serve different stages of robotics development, with simulation emphasizing testing and validation, and software engineering focusing on implementation and coding.

What are some typical challenges faced when working in robotics simulation, and how can they be addressed?

Professionals in robotics simulation often encounter challenges such as accurately modeling real-world physics, ensuring simulation fidelity, and integrating with hardware or software systems. Addressing these requires a strong understanding of both robotics and simulation tools, as well as effective collaboration with engineers, software developers, and testers. Staying updated with advancements in simulation platforms and maintaining clear documentation are key strategies to overcome these challenges and ensure the simulations provide meaningful insights for development and testing.
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Robotics Simulation jobs near you
Infographic showing various Robotics Simulation job openings in the United States as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $67,601 per year, or $32.5 per hour.

Sr. Software Engineer, Multiagent Simulation

FieldAI

Boston, MA • On-site

Full-time

Re-posted 8 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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