具身智能仿真评测研发工程师（J105511）
Core
Develop and maintain a simulation evaluation platform for embodied AI, focusing on asset management, task orchestration, and automated benchmarking.
Role type
Senior IC machine-learning engineer (embodied AI simulation platform)
Builds
Simulation evaluation platform, automated benchmarking pipelines, and skill management tools
Domain
Embodied AI, Robotics, Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, Go, C++, Cloud-native technologies, Distributed systems, Task scheduling, Kubernetes, Docker, PyTorch, Deep learning frameworks, Performance analysis tools
Preferred skills
Isaac Gym, Isaac Lab, MuJoCo, ManiSkill, SAPIEN, LIBERO, RoboArena, Ray, Argo, Kubeflow, GPU task scheduling, AI Infra, Machine learning platforms
Responsibilities
Establish standard processes for onboarding open-source datasets, models, and simulation environments; Productize training/inference acceleration capabilities; Develop core modules for simulation environment integration and unified task orchestration; Research and integrate skills and agents for the platform.
