In this role, you will:

• Develop robust localization algorithms that perform effectively in dynamic environments with imperfect information.
• Craft mathematical models and documentation for calibrating the intrinsic and extrinsic parameters of our comprehensive sensor suite.
• Innovate and refine map feature generation processes for our Zoox Road Network (ZRN), leveraging both classical methods and cutting-edge techniques.
• Drive the analysis and propagation of uncertainties across different layers of the Zoox technology stack.
• Serve as a mathematical expert within the company, simplifying complex concepts to foster understanding and alignment across various technical teams.
• Mentor and coach a team of engineers, guiding them to success and leadership in their respective areas.

Qualifications

• Advanced degree (PhD preferred) in Mathematics, Applied Mathematics, Computer Science, or a related field.
• Extensive publication record in academic journals combined with experience in applying theoretical research to solve real-world problems.
• Demonstrated experience in developing and implementing advanced algorithms for localization, mapping, or related fields in autonomous technologies.
• Proven track record of leading projects and teams that have delivered innovative solutions.
• Excellent skills in mathematical modeling, algorithm design, and the ability to convey complex mathematical ideas with clarity and precision.
• Strong interpersonal and leadership skills with experience in mentoring and developing top-tier engineering talent.

Bonus Qualifications

• Experience with sensor calibration and data fusion techniques.
• Familiarity with machine learning approaches applicable to autonomous driving technologies.
• Proven ability to work cross-functionally, aligning multiple teams and technologies towards a common goal.