Work on implementation of 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
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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

C++Pythonmachine learningtracking systemsCUDASparse-BEV Joint Detection and Trackingprobabilistic techniquesmulti-target trackingmulti-modal trackingnetwork evaluation

Soft skills

strong mathematical skillsproblem-solvingcollaborationcommunication

Certifications

BS in Computer Sciencerelated degree