Research Engineer, Simulation & World Models

Mecka AI is building data infrastructure for robotics and embodied AI, including systems for data capture, labeling, simulation, and hardware-enabled workflows. The Research Engineer will build and scale simulation environments, improve physical fidelity and sim-to-real transfer, and develop learned or hybrid world models for robot prediction, planning, and control.

Responsibilities:

• Build simulation environments: Model robots, sensors, objects, contacts, materials and dynamics, with scenarios grounded in real behavior
• Scale training workloads: Build reliable pipelines for parallel rollouts, synthetic data, policy training and evaluation
• Improve physical fidelity: Calibrate against measured data, find mismatches in dynamics or sensing and make targeted improvements
• Drive sim-to-real: Use system identification, domain randomization and controlled experiments to improve transfer
• Develop world models: Build learned dynamics or latent models, combine them with physics-based systems and test their value for prediction, planning and control
• Build with the team: Turn prototypes into reusable simulation assets, training infrastructure and documented methods with researchers and engineers