Model performance optimization for vehicle deployment
Large model dataset automation
Responsible for the design and development of end-to-end models for autonomous driving, including two-stage end-to-end, one-stage end-to-end, and VLA
Job Summary
Responsible for the design and development of end-to-end models for autonomous driving, including two-stage end-to-end, one-stage end-to-end, and VLA.
Conduct model algorithm level performance optimization for vehicle deployment, such as model quantization, distillation, and operator optimization.
Responsible for automated mining, annotation, and management of autonomous driving datasets for large models, optimizing large models to improve autonomous driving system performance.
Matching Summary
Responsible for the design and development of end-to-end models for autonomous driving, including two-stage end-to-end, one-stage end-to-end, and VLA.
Skills & Requirements
Must-have
End-to-end model design and development
Model performance optimization for vehicle deployment
Large model dataset automation
Large language models and multimodal models
Python and C++ programming
Nice-to-have
Improving quality of life globally
Collaborating with cross-functional teams
Key Requirements
Master's/PhD in Computer Science, Robotics, AI
2+ years of autonomous driving/robotics experience