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Robotics Simulation Engineer

Pensacola, FL, US • Posted 30+ days ago • Updated 5 hours ago

Full Time

On-site

Fitment

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Job Details

Skills

Computer Hardware
Personas
Reporting
Collaboration
Machine Learning (ML)
Manufacturing
Welding
System Integration
Computer Science
Mechanical Engineering
SIM
Debugging
Python
Writing
Scripting
Physics
Classical Mechanics
Dynamics
Continuous Integration
Continuous Delivery
Docker
DevOps
Management
3D Computer Graphics
Training
Cosmos
ROS
Unreal Engine
Real-time
Robotics
Visualization
Modeling
Estimating
Retargeting
SDK

Summary

We're looking for a Simulation Engineer to own and expand our NVIDIA Isaac Sim and Omniverse simulation infrastructure. You'll build the digital twin environments, sim assets, and CI/CD pipelines that our autonomy team relies on daily. You will help achieve the vision in which every robot behavior we develop is prototyped, tested, and validated in simulation before it runs on hardware.

As a simulation engineer at Persona, you will have an incredible opportunity to shape the simulation infrastructure that underpins our entire autonomy stack. You will report to the Behavior Coordination Lead and work closely with machine learning, locomotion, manipulation, perception, and devops teams.

Your Role:

Build, maintain, and extend simulation environments in NVIDIA Isaac Sim and Omniverse for humanoid robot development.
Develop and manage OpenUSD sim assets: robot models, tools, workpieces, customer facility environments (shipyards, steel fabrication plants, industrial sites).
Create and maintain physics-accurate digital twins of customer facilities (shipyards and industrial manufacturing) for behavior validation and deployment planning.
Integrate all autonomy subsystems (locomotion, manipulation, perception, hands, navigation, welding) to run against Isaac Sim.
Design and implement behavior-level CI/CD pipelines that automatically validate robot behaviors in simulation.
Prototype and mock-test robot behaviors (welding, navigation, manipulation) in simulation before hardware integration.
Develop synthetic data generation pipelines for training perception, manipulation, and navigation models.

We're Looking For:

BS, MS, or PhD in Robotics, Computer Science, Mechanical Engineering, or a related field.
3+ years of professional experience in robotics simulation, digital twin development, or physics-based simulation environments.
Strong hands-on experience with NVIDIA Isaac Sim and/or NVIDIA Omniverse.
Working knowledge of OpenUSD (Universal Scene Description): authoring, composition, referencing, flattening, and debugging USD stage hierarchies.
Proficiency in Python; comfortable writing simulation tooling, test harnesses, and automation scripts.
Experience with at least one physics engine: PhysX, MuJoCo, Bullet, or Drake.
Solid understanding of robot kinematics, dynamics, and articulated body simulation.
Experience developing or maintaining CI/CD pipelines for simulation or robotics software.
Familiarity with containerization (Docker) and DevOps practices for simulation infrastructure.
Ability to create and manage 3D simulation assets (meshes, materials, collision geometry, articulation definitions).

Preferred or Bonus Qualifications:

Experience with NVIDIA Isaac Lab for reinforcement learning environment setup and training.
Familiarity with NVIDIA Cosmos for synthetic data generation and scene variability.
Experience with ROS/ROS 2 and Gazebo simulation.
Experience with Unreal Engine or other real-time rendering engines for robotics visualization.
Background in manipulation simulation: contact modeling, grasp planning, dexterous multi-fingered hand interaction, and force/torque estimation.
Experience with motion capture data pipelines and motion retargeting to robot models.
Exposure to behavior trees, task planning, or autonomy stack architecture.
Knowledge of Omniverse extensions development and Kit SDK.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 80183771
Position Id: d0849a9a1fcf87527c54c92f2fe4492d
Posted 30+ days ago

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