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Robotics Simulator Jobs (NOW HIRING)

Onyx

Robotics Research Lead

Boston, MA · On-site

Company Description Onyx is a robotics AI controls and simulation company building the tooling and infrastructure to push hardware performance to its limits with learning. We are assembling a team of ...

ICON

Robotics Simulation Engineer II

Austin, TX

As a Robotics Simulation Engineer, you will build and maintain high-fidelity simulation environments that accelerate the development, validation, and certification of ICON's robotic systems. You will ...

ICON

Robotics Simulation Engineer II

Austin, TX · On-site

As a Robotics Simulation Engineer, you will build and maintain high-fidelity simulation environments that accelerate the development, validation, and certification of ICON's robotic systems. You will ...

Diocese of Trenton

Robotics Club Moderator

NJ · On-site

The Robotics Club Moderator will be responsible for organizing and overseeing all aspects of the club's activities, including fundraising and attending local competitions, and working with the ...

Diocese of Trenton

Robotics Club Moderator

Belmar, NJ · On-site

The Robotics Club Moderator will be responsible for organizing and overseeing all aspects of the club's activities, including fundraising and attending local competitions, and working with the ...

Divergent

Robotic Simulation Engineer

Torrance, CA · On-site

The ideal candidate will use their expertise in automated systems, industrial robotics, and off ... Create Simulation Studies in Process Simulate on Teamcenter (Tecnomatix) * Help create and maintain ...

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How much do robotics simulator jobs pay per year?

As of Jun 27, 2026, the average yearly pay for robotics simulator in the United States is $96,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $102,000.00 per year, depending on experience, location, and employer.

What is a Robotics Simulator job?

A Robotics Simulator job involves developing, testing, and optimizing robotic systems in a virtual environment before deploying them in the real world. Professionals in this role use simulation software to model robot behavior, analyze performance, and troubleshoot potential issues. This position is crucial in industries like automation, AI, and research, where real-world testing can be costly or unsafe. It requires expertise in robotics, physics engines, and programming languages like Python or C++.

What is the salary of robotic simulation engineer?

The salary of a robotic simulation engineer typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced engineers with specialized skills in simulation tools like Gazebo or ROS can earn higher salaries.

What careers can you do with robotics?

A robotics simulator professional can pursue careers such as robotics engineer, automation engineer, research scientist, or control systems engineer. These roles involve designing, testing, and programming robotic systems, often requiring knowledge of programming languages, CAD tools, and robotics frameworks like ROS. Opportunities exist in industries such as manufacturing, healthcare, aerospace, and research institutions.

What are the typical responsibilities of a Robotics Simulator on a day-to-day basis?

As a Robotics Simulator, your typical day involves designing, configuring, and running simulation tests for robotic systems to validate their performance before physical deployment. You’ll often collaborate closely with robotics engineers, software developers, and sometimes hardware teams to troubleshoot design issues and improve algorithms. Regular tasks include setting up simulation parameters, analyzing test results, documenting findings, and tuning models for optimal performance. This role requires both independent problem-solving and strong team communication to ensure robotics projects progress smoothly and efficiently.

Is robotics a dead field?

Robotics is an active and growing field with applications in manufacturing, healthcare, and automation. Robotics simulators are used for training, testing, and developing new technologies, making the industry continuously evolving and in demand for skilled professionals with programming, engineering, and simulation expertise.

What are the key skills and qualifications needed to thrive in the Robotics Simulator position, and why are they important?

To thrive as a Robotics Simulator, you need a solid background in robotics engineering, programming (such as Python or C++), and simulation software, typically backed by a relevant degree in engineering or computer science. Familiarity with tools like ROS (Robot Operating System), Gazebo, V-REP, or MATLAB/Simulink is highly desirable, and certifications in robotics or simulation software can be advantageous. Strong problem-solving, analytical thinking, and teamwork skills are essential for success in this collaborative and dynamic field. These abilities ensure accurate, efficient simulation of robotic systems, enabling reliable testing and development before real-world deployment.

What are all the jobs in Job Simulator?

In the context of a robotics simulator, jobs typically include roles such as robot technician, software developer, simulation engineer, and quality assurance tester. These roles involve programming, troubleshooting, and maintaining the virtual environment, often requiring knowledge of robotics, coding languages, and simulation tools. The specific jobs depend on the simulation's scope and industry application.
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Robotics Simulator jobs near you
Infographic showing various Robotics Simulator job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 96% Full Time, 2% Part Time, and 1% Nights. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $96,000 per year, or $46.2 per hour.

Member of Technical Staff - Robotics

Moonlake AI

San Francisco, CA • On-site

Full-time

Posted 19 days ago

Job description

Introducing Moonlake, AI for creating world simulations.
About Moonlake
Moonlake is building the frontier of AI-powered world simulation.
We create systems that generate, simulate, and reason over rich 3D environments for robotics, embodied AI, and interactive applications. Our platform enables the creation of digital worlds, synthetic environments, and scalable simulation infrastructure used to train the next generation of intelligent systems.
Our work sits at the intersection of:
  • Robotics
  • Physical AI
  • World Models
  • Simulation Infrastructure
  • Synthetic Data Generation
  • Embodied Intelligence

Moonlake has raised $28M in seed funding from NVIDIA Ventures, Threshold Ventures, AIX Ventures, and notable angels including Naval Ravikant and Jeff Dean.
Our mission is to build the foundational infrastructure that enables robots to learn, reason, and operate effectively in the physical world.
The Role
We are looking for a Member of Technical Staff - Robotics to help build the bridge between simulation, world models, and real-world robotic systems.
This role spans the full robotics stack-from evaluating foundation models and policies in simulation, to training world models, to deploying and operating physical robots. You will work closely with researchers and engineers developing next-generation simulation environments and AI systems, while ensuring those capabilities transfer successfully into real-world robotic platforms.
This is a highly hands-on role combining robotics engineering, machine learning, simulation, and hardware deployment.
What You'll Do
Evaluate Robot Foundation Models & Policies
  • Benchmark and evaluate robot foundation models in simulated environments
  • Design evaluation frameworks for robotic reasoning, planning, manipulation, and navigation
  • Measure generalization, robustness, and task performance across diverse scenarios
  • Build infrastructure for large-scale simulation-based testing and validation
Train World Models for Robotics
  • Develop and train world models that enable robots to understand and predict environment dynamics
  • Build systems that learn from multimodal robot data including vision, depth, state, and actions
  • Improve environment understanding, forecasting, and decision-making capabilities
  • Work closely with simulation and AI teams to advance robotic world modeling systems
Build Real-World Robot Learning Pipelines
  • Collect and curate real-world robotics datasets
  • Train and fine-tune models using both simulated and physical robot data
  • Improve sim-to-real transfer for robotic policies and world models
  • Develop workflows connecting simulation, training infrastructure, and deployed robotic systems
Deploy and Operate Physical Robots
  • Set up, integrate, and maintain robotic hardware platforms
  • Bring learned policies and world models onto real robotic systems
  • Debug hardware, software, sensing, and control issues
  • Develop deployment pipelines for testing, validation, and continuous improvement
  • Work directly with robotic manipulators, mobile robots, sensors, and compute systems
Areas of Focus
Robot Foundation Models
  • Policy evaluation
  • Model benchmarking
  • Simulation-based testing
  • Generalization analysis
  • Performance measurement
World Models
  • Environment modeling
  • Predictive systems
  • Representation learning
  • Multimodal learning
  • Model-based reasoning
Simulation
  • Robotics simulators
  • Digital twins
  • Synthetic environments
  • Sim-to-real transfer
  • Evaluation infrastructure
Robotics Systems
  • Robot setup and integration
  • Sensors and perception systems
  • Robot control
  • Hardware debugging
  • Deployment workflows
What We're Looking For
  • Strong background in robotics, embodied AI, machine learning, or related fields
  • Experience working with physical robotic systems
  • Experience with robotic simulation platforms such as Isaac Sim, MuJoCo, Habitat, Gazebo, or similar
  • Familiarity with robot learning, foundation models, or world models
  • Strong software engineering skills in Python and robotics tooling
  • Experience deploying software onto real robotic hardware
  • Ability to debug across hardware, software, and machine learning systems
  • Comfort working in a fast-moving research and engineering environment
Why This Role Matters
Moonlake's vision extends beyond simulation. We believe the future of robotics will be powered by world models that can learn in simulation and transfer seamlessly to the physical world.
This role sits at the center of that mission. You will help evaluate robotic intelligence in simulation, train the models that power robotic understanding, and deploy those systems onto real robots operating in the physical world.
Your work will directly shape how future robotic systems learn, reason, and act.
We are committed to being an on-site, in-person team currently based in San Francisco.

Apply