具身智能算法工程师-模型
Tasks
- Build world model for environment prediction and dynamic modeling
- Conduct Sim to Real transfer experiments
- Develop end to end robot operation models
- Implement distributed mixed precision training
- Implement reinforcement learning control methods for dexterous hands
- Optimize inference acceleration and deployment
- Research Vision Language Action models for manipulation
- Set up and optimize large scale model training infrastructure
- Track field progress and drive technical engineeringization
Perks/Benefits
- N/A
Skills/Tech-stack
Actor-critic | Deep learning | Distributed Training | GPU Training | IQL | Implicit Q Learning | Inference Optimization | Isaac Lab | Language Models | Mixed Precision | Mixed-precision training | Mujoco | Multi-GPU | Multi-GPU Training | NVIDIA Isaac | NVIDIA Isaac Lab | OpenAI Gym | PPO | Policy Optimization | Proximal Policy Optimization | PyTorch | Python | Q-learning | Reinforcement Learning | Robot Control | SAC | Sim-to-Real | Soft Actor Critic | VLM | Vision Language Models | Vision-language | World Models
Education
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