Description:

Lead the development of advanced neural networks for lane and route network mapping in autonomous vehicles.
Architect and implement a production-grade mapping stack, ensuring integration with other modules.
Drive feature development from inception to deployment, including architecture design and mentorship.
Own the data strategy for mapping, focusing on lane and route networks.
Develop metrics for accuracy and consistency across diverse environments.
Collaborate with cross-functional teams to translate autonomy goals into software requirements.

Requirements:

Ph.D. or Master’s degree in Computer Science, Electrical Engineering, Robotics, or related field.
7+ years of experience in ML/DL model development for mapping or computer vision.
Expertise in vectorized mapping networks, cross-modal calibration, and computer vision foundations.
Strong programming skills in Python and/or C++, with experience in modular software design.
Proven leadership in technical roadmaps and mentoring engineers.
Strong communication skills for leading technical discussions.

Comprehensive healthcare suite including medical, dental, vision, life, and disability plans.
Rich retirement benefits with an employer match.
Generous paid parental leave and flexible vacation policy.
Total Wellness Program providing resources for overall wellbeing.

Skills

Benefits