Simulation Jobs
Simulation jobs sit at the center of modern Physical AI development because most teams cannot validate every scenario in the physical world first. These roles span simulator tooling, environment modeling, synthetic data generation, and test infrastructure for robotics and autonomy programs. You will see work involving Unreal, Unity, Isaac Sim, Gazebo, Omniverse, and custom internal engines designed for scale and reproducibility. Strong candidates often combine software engineering depth with practical intuition around physics, sensor behavior, and system-level performance metrics. Many simulation teams partner directly with controls, perception, and autonomy engineers to close gaps between virtual and real behavior. If you enjoy building fast feedback loops for embodied systems, this page highlights simulation opportunities where your work can accelerate development cycles across entire organizations.
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Staff ML Engineer, Foundation Models
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Senior Vehicle Structures Engineer
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Perception Machine Learning Engineer - Continuous Learning
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Staff Hardware Reliability Engineer
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Staff ML Engineer, Perception Research
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Senior Product Manager, Autonomous Vehicle Reliability
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Japan Vehicle Recovery, Safety, & Logistics 日本の車両リカバリー、安全性、物流.
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Structured Testing Vendor Engineering Lead
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Staff Software Engineer, Collision Avoidance Testing
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Staff Systems Test Engineer, Scenario Quality and Maintenance Systems
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Staff Systems Engineer, Driving Behaviors
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Staff Research Scientist, Foundation Models Recipes
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Staff SoC Design Engineer
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Senior Staff Technical Lead Manager, Driver Validation
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Senior Product Manager, Simulation
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Senior Research Scientist, AI Foundations Recipes
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Safety Engineer - Risk Management
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Vehicle Package and Integration Lead
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Full Vehicle Platform Architect
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Staff Software Engineer (TLM), Field Response
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What robotics simulation teams hire for
Simulation roles can look similar on the surface but serve different parts of the development loop. Read the job description for the fidelity target, the users of the simulator, and whether the team is training models, validating behavior, commissioning hardware, or building the simulator platform itself.
World and sensor fidelity
Teams may model robot kinematics and dynamics, contacts, cameras, lidar, IMUs, factory assets, or driving environments. Common stacks include Isaac Sim or Isaac Lab, Gazebo, MuJoCo, OpenUSD, Unreal, Unity, and internal engines.
Synthetic data and learning
ML-facing simulation work often includes domain randomization, scenario generation, sensor simulation, annotations, reinforcement-learning environments, and scalable pipelines that connect virtual data to training and evaluation.
Validation and sim-to-real
Production simulation roles increasingly emphasize closed-loop tests, reproducible regression suites, hardware- or software-in-the-loop workflows, and measuring where simulated behavior diverges from real robots.
Search strategy
Search both broad simulation titles and specific tools. A strong match may be called Simulation Engineer, Robotics Simulation Engineer, Synthetic Data Engineer, Digital Twin Engineer, or a platform role supporting autonomy and robot learning.