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Robotics Simulation Jobs in California (NOW HIRING)

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 ...

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 ...

Divergent

Robotic Simulation Engineer

Los Angeles, 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 ...

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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Robotics Simulation information

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.
What are popular job titles related to Robotics Simulation jobs in California? For Robotics Simulation jobs in California, the most frequently searched job titles are:
What job categories do people searching Robotics Simulation jobs in California look for? The top searched job categories for Robotics Simulation jobs in California are:
What cities in California are hiring for Robotics Simulation jobs? Cities in California with the most Robotics Simulation job openings:
Robotics Simulation jobs near you
Infographic showing various Robotics Simulation job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Hybrid job distribution.

Member of Technical Staff - Robotics & Simulation

Embedding VC

San Francisco, CA • On-site

Full-time

Posted 17 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