Tasks:
- * Adapt and retrain world models for different sensor configurations and vehicle platforms
- * Adjust network architectures and loss functions
- * Build training datasets
- * Deploy models to edge platforms for mass production
- * Diagnose model deployment issues
- * Run distributed training
- * Tune models, rewards, and preprocessing and postprocessing for new vehicles
Perks/Benefits:
Skills/Tech stack required:
[C++11] [C++14] [C++17] [CI/CD] [Coroutines] [Distributed Training] [Git] [Linux] [Memory Management] [Multiprocessing] [Multithreaded programming] [Multithreading] [Python] [PyTorch] [Smart pointers] [STL]
Educational requirements:
[Master's Degree]
Role(s):
[Algorithm Engineer] [Autonomous Driving Algorithm Engineer] [Engineer] [Learning Engineer] [Machine Learning Engineer] [Model Training Engineer] [Training Engineer]