In This Role, You will...
- 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
Qualifications:
- 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
Bonus Qualifications:
- 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
Top Skills
What We Do
Zoox is an autonomous mobility company that was founded to provide a safer, cleaner, and more enjoyable future on the road. To achieve that goal, the company has spent the past 10 years creating a purpose-built robotaxi that gives the world a better way to ride.
Why Work With Us
At Zoox, we are working to solve one of the greatest technological challenges of our generation.
From the beginning, we have been focused on our goal of reimagining transportation from the ground up. We are a mission-driven community of innovators working together to create a safer, cleaner, and more enjoyable future on the road.
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