Staff Software Engineer

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity.

Job Responsibilities:

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.

Job Requirements:

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 Proficient in Python and C++.

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.  

Preferred:

Familiar with one machine learning development framework such as PyTorch, TensorFlow, MXNet.

What do we provide:

A fun, supportive and engaging environment.

Opportunity to make significant impact on the transportation revolution by the means of advancing autonomous driving.

Opportunity to work on cutting edge technologies with the top talent in the field.

Competitive compensation package.

Snacks, lunches and fun activities.

The base salary range for this full-time position is $179,400 - $303,600 in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.