Staff Data Algorithm Software Engineer

• Develop and apply advanced data analytics, machine learning, and statistical modeling techniques to solve complex problems related to autonomous driving systems.
• Analyze large datasets generated by vehicle sensors to improve self-driving algorithms.
• Work closely with cross-functional teams to design and optimize algorithms and models.
• Perform data preprocessing, cleaning, and feature engineering to ensure high-quality input for model development.

This role creates positive change by advancing autonomous driving technologies to reshape the future of transportation, contributing to intelligent mobility solutions that could reduce accidents, improve efficiency, and transform how people and goods move.

• Master’s degree in Computer Science, Electrical Engineering, Robotics, Mathematics, or a related field (PhD is a plus).
• 5+ years of experience as a Data Scientist, Data Analyst, or in a similar analytical role.
• Proficiency in programming languages such as Python and C++.
• Solid understanding of machine learning techniques and algorithms, including supervised and unsupervised learning, deep learning, reinforcement learning, and neural networks.

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

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, dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity.