Staff Software Engineer

• Research and develop algorithms for ego pose tracking and static environment tracking using semantic features from cameras, radar, inertial and other sensors.
• Work closely with cross functional team for rapid execution on target platforms.

This role creates positive change by advancing autonomous driving technology to reshape the future of transportation through intelligent mobility solutions.

• MS./Ph.D. in Computer Science/Electrical Engineering/Mechanical Engineering/Robotics or related disciplines.
• Minimum 3-5+ years of software engineering experiences.
• Proficient in Python and C++.
• Solid background in SLAM, computer vision, image processing, 3D geometry, estimation, non-linear optimization.
• Hands on experience in one of the following: visual odometry, camera calibration, 3D reconstruction, maps.
• Strong mathematical foundation.
• Strong will to research, develop, and apply deep learning algorithms to new problems.

• Competitive compensation package with base salary range of $179,400 - $303,600 plus bonus, equity and benefits.
• A fun, supportive and engaging environment.
• Opportunity to work on cutting edge technologies with top talent in the field.
• Snacks, lunches and fun activities.

XPENG is a leading smart technology company dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity, integrating advanced AI and autonomous driving technologies into electric vehicles, eVTOL aircraft, and robotics.