As a Software Engineer on the Behavior Capabilities team, you will develop and implement algorithmic advancements to expand the robot's driving abilities in complex scenarios, focusing on improving trip progress and vehicle uptime.
189k – 270k/yr
Hybrid4+ YOEML Engineering
About the role
Responsibilities
Create principled algorithmic improvements to specific areas of driving behavior and implement those changes in our code base.
Collaborate cross-functionally to develop strategies and intelligent behaviors to mitigate the performance degradation under various failure modes of the system.
Architect and implement scalable solutions ensuring seamless integration with the rest of the driving stack.
Partner with validation teams to define and execute tests for developed algorithms.
Qualifications
Master's degree in Computer Science or related field
Fluency in C++
Extensive experience with programming and algorithm design
Understanding of vehicle kinematics
4+ years of experience in a related field
Bonus Qualifications
PhD in Computer Science, Electrical Engineering, Mechanical Engineering, or related field
Develops deep learning models using imitation and reinforcement learning to generate safe, efficient trajectories for autonomous vehicles. Collaborates with perception and planning teams, leveraging large-scale ML infrastructure for production deployment in urban environments.
189k – 270k/yr
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