Senior / Staff Software Engineer - Perception 3D Tracking

Zoox • Foster City, CA

19d

About The Position

The Perception Object Detection and Tracking team at Zoox deals with perception of all people and objects that have a capability to move. Your role is to work with the ML model teams to bring cutting-edge models into the vehicle stack. In this role, you will have access to the best sensor data in the world and an incredible infrastructure for testing and validating your algorithms. We are creating new algorithms for segmentation, tracking, classification, and high-level scene understanding, and you could work on any (or all!) of these components. In this role, you will... Define on-vehicle architecture for producing the core tracking results from the Perception stack. Work with both the model teams and optimization teams to develop a highly performant and efficient system that can run on vehicle. Work with Perception data, both on the input and output of machine learned models Take tracking output and integrate this into the larger behavioral system in the Autonomy stack

Requirements

• BS or higher in Computer Science or a related degree
• Fluency in C++ and Python
• Experience delivering ML model integration in latency-sensitive systems
• Have experience implementing tracking systems
• Strong mathematical skills and understanding of probabilistic techniques

Nice To Haves

• Familiarity with modern, Sparse-BEV Joint Detection and Tracking models
• Experience with CUDA code
• Contribute to the ongoing development of new architecture based on new, state of the art ML research
• Investigate, prototype and train / evaluate networks for solving causal / recursive multi-target multi-modal tracking problem

Responsibilities

• Define on-vehicle architecture for producing the core tracking results from the Perception stack.
• Work with both the model teams and optimization teams to develop a highly performant and efficient system that can run on vehicle.
• Work with Perception data, both on the input and output of machine learned models
• Take tracking output and integrate this into the larger behavioral system in the Autonomy stack

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1,001-5,000 employees