Zoox

In this role, you will...

• Define on-vehicle architecture for producing the core tracking results from the Perception stack.
• Assist with the implementation of core tracking results from the Perception stack
• Work with both the model and data teams to develop a high-performance, efficient model that can run on a vehicle.
• Work with Perception data, both on the input and output of machine learning models

Qualifications

• BS or higher in Computer Science or a related degree
• Familiarity with modern, Sparse-BEV Joint Detection and Tracking models.
• Hands-on experience with production ML pipelines, including dataset creation, metrics, and optimization
• Experience in Python, PyTorch, or a related ML framework

Bonus Qualifications

• Experience with CUDA code and/or TensorRT
• Strong mathematical skills and understanding of probabilistic techniques
• Experience implementing tracking systems