Tasks:
- * Automate simulation-based evaluation and regression testing
- * Build cognitive planning and motor control evaluation benchmarks
- * Build embodied AI model training platforms
- * Build experiment and version management systems
- * Deploy and validate models on physical robots
- * Develop distributed training infrastructure
- * Develop robotics toolchains
- * Improve CI/CD and containerized deployment
- * Optimize sim-to-real workflows and inference performance
- * Process multimodal vision, language, and action data
Perks/Benefits:
Skills/Tech stack required:
[C++] [CI/CD] [Data Processing] [DDP] [Distributed Training] [Docker] [FSDP] [GPU Optimization] [Habitat] [Isaac Sim] [Kubernetes] [Megatron-LM] [MLOps] [Mujoco] [Multimodal Data] [Multimodal Data Processing] [ONNX] [Python] [PyTorch] [Reinforcement Learning] [TensorFlow] [TensorRT] [Zero]
Educational requirements:
N/A
Role(s):
[AI Platform Engineer] [Embodied AI Platform Engineer] [Engineer] [Machine Learning Platform Engineer] [Platform Engineer] [Robotics Software Engineer] [Software Engineer]