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Full Time Robotic Simulation Engineer Jobs (NOW HIRING)

K&K Technical

Simulation Engineer

Liberty, NC · On-site

$70 - $75/hr

Minimal to Moderate as Needed Schedule: Full-Time 1489912 About the Opportunity Engineering team is seeking a highly motivated Simulation Engineer to support the development of advanced manufacturing ...

Rule 5 Hire

Robot Engineer

Detroit, MI · On-site

Understand and strictly follow the standards and specifications for the robotic simulation and/or ... Able to do Advanced Programming in the two robots they have the most knowledge. * Very proficient ...

Rule 5 Hire

Robot Engineer

Detroit, MI · On-site

Understand and strictly follow the standards and specifications for the robotic simulation and/or ... Able to do Advanced Programming in the two robots they have the most knowledge. * Very proficient ...

Freeform

Simulation Engineer

Los Angeles, CA

SIMULATION ENGINEER Freeform builds AI-native manufacturing systems that unify software, hardware ... full-time onsite presence (five days a week), with very limited exceptions. What We Offer: * We ...

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Full Time Robotic Simulation Engineer information

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$105.6K

$169K

How much do full time robotic simulation engineer jobs pay per year?

As of Jul 11, 2026, the average yearly pay for full time robotic simulation engineer in the United States is $105,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $127,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Full Time Robotic Simulation Engineer, you need a solid background in robotics, computer science, and engineering, often supported by a relevant degree and experience in simulation environments. Proficiency with simulation tools such as ROS (Robot Operating System), Gazebo, MATLAB/Simulink, and programming languages like Python or C++ is typically required. Strong problem-solving abilities, teamwork, and effective communication are crucial soft skills for collaborating on complex projects and troubleshooting issues. These skills and qualities are important to develop, test, and refine robotic systems efficiently, ensuring reliability and innovation in automation solutions.

What types of projects and collaborations can a Full Time Robotic Simulation Engineer expect to be involved in?

As a Full Time Robotic Simulation Engineer, you will typically work on projects that involve creating and testing virtual models of robotic systems to optimize their performance before physical deployment. You can expect to collaborate closely with software developers, mechanical engineers, and project managers to ensure simulation accuracy and integration with real-world hardware. These projects often require iterative testing, data analysis, and troubleshooting, as well as adapting simulations to accommodate evolving project requirements. This role offers exposure to cutting-edge robotics technologies and provides opportunities to contribute to multidisciplinary teams, fostering both technical and collaborative skill growth.

What is a Full Time Robotic Simulation Engineer?

A Full Time Robotic Simulation Engineer is a specialist who designs, develops, and tests virtual models of robotic systems to analyze their performance before they are physically built. They use simulation software to create digital twins of robots and their environments, allowing for thorough testing, optimization, and troubleshooting. This role is crucial in industries such as manufacturing, automotive, and logistics, where precision and efficiency are essential. By simulating robots, engineers can identify and solve potential issues, saving time and resources in the development process.

What is the difference between Full Time Robotic Simulation Engineer vs Full Time Robotics Software Developer?

AspectFull Time Robotic Simulation EngineerFull Time Robotics Software Developer
CredentialsBachelor's or Master's in Robotics, Mechanical, or Electrical EngineeringBachelor's or Master's in Computer Science, Software Engineering, or Robotics
Work EnvironmentDesigning and testing robotic simulations, using simulation software like Gazebo or V-REPDeveloping software algorithms, coding, and debugging robotics applications
Industry UsagePrimarily in robotics research, manufacturing, and automation companiesIn robotics, automation, and tech companies focusing on software solutions

While both roles involve robotics and software, the Full Time Robotic Simulation Engineer focuses on creating and testing virtual models of robots, whereas the Full Time Robotics Software Developer concentrates on coding and developing robotics software applications. The roles often overlap but differ mainly in their core focus: simulation versus software development.

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Full Time Robotic Simulation Engineer jobs near you

Member of Technical Staff - Robotics & Simulation

Moonlake AI

San Francisco, CA • On-site

Full-time

Re-posted 3 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