Senior UMF Machine Learning Algorithm 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.

We are seeking an algorithm engineer with strong system-design skills to develop state-of-the-art computer vision and machine learning algorithms for UMF Lane Fusion in autonomous driving systems. In this role, you will fuse lane lines, road boundaries, and other static road elements across perception sources and time to generate accurate, stable, and semantically rich road representations. The Lane Fusion system must operate with low latency and high availability on a real-time, safety-critical vehicle platform. You will work with cross functional research and development teams in a rapidly paced environment. Your work will ensure that we deliver the most reliable mass market autonomous driving solution.

Job Responsibilities:

• Research and develop algorithms for 3D laneline geometry using semantic features from 2D model.
• Address challenges such as missing or fragmented lane lines, occlusions, incorrect associations, forks, merges, intersections, and construction zones.
• Work closely with camera perception to build a 3D laneline pipeline.
• Work closely with cross functional team for rapid execution on target platforms.

Skill Requirements:

• Ph.D in EE, CS or related field with 3 years of experience, or Masters with 5 years full time work experience in algorithms design.
• Solid 3-5 years of background in photogrammetry, 3D geometry, estimation, non-linear optimization, computer vision.
• Proficient in developing in C++.
• Hands on experience in one of the following: 3D reconstruction, noise modeling, lane detection, BEV perception, or online mapping.
• Experience in machine learning algorithm development and data curation is required.
• Strong mathematical foundation and signal processing.

What do we provide:

• A fun, supportive and engaging environment.
• Infrastructures and computational resources to support your work.
• Opportunity to work on cutting edge technologies with the top talents in the field.
• Opportunity to make a significant impact on the transportation revolution by the means of advancing autonomous driving.
• Competitive compensation package.
• Snacks, lunches, dinners, and fun activities.

The base salary range for this full-time position is $174,720 - $295,680, 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.