Autonomy Simulation Engineer (World Sim)
Core
Develop high-fidelity digital environments and AI models (VLA, World Models) for autonomous vehicle simulation in mining and construction scenarios.
Role type
Senior IC machine-learning engineer (autonomous systems simulation)
Builds
High-fidelity 3D digital scenes, VLA models, world models, and automated data generation toolchains for simulation platforms.
Domain
Autonomous vehicles, Generative AI, Embodied AI, Simulation
Deliverable
production ML models
Required skills
Python, PyTorch, Computer Vision, 3D Reconstruction, Neural Rendering (NeRF, 3DGS), Transformers, LLMs, VLMs, Reinforcement Learning
Preferred skills
Simulation environment development, Generative AI, Foundation Models
Technologies
3D Gaussian Splatting, NeRF, PyTorch, Python, Linux
Responsibilities
Build high-fidelity 3D digital scenes using neural rendering; Develop and train VLA models for agent behavior; Design and implement world models for dynamic prediction; Develop automated data generation toolchains; Research and apply frontier AI technologies to business scenarios.
