AI Infra工程师-算法研发方向
Tasks
- Build AI infrastructure framework for autonomous driving
- Build and maintain CI/CD pipelines
- Develop features and write technical documentation
- Implement model distillation
- Implement multi-task learning
- Implement quantization aware training
- Improve model efficiency for training and deployment
- Integrate data processing model training evaluation deployment
- Optimize data loading and evaluation deployment pipelines
- Optimize distributed training efficiency
Perks/Benefits
Skills/Tech-stack
C plus plus | CI/CD | CUDA | Data parallelism | Deep learning | Distributed Training | Hybrid parallelism | Knowledge Distillation | Model Inference | Model Parallelism | Model Training | NCCL | OpenMPI | Pipeline parallelism | PyTorch | Python | Quantization aware training | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
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