Staff Computer Vision Engineer - vLLM

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 a passionate and skilled Computer Vision Engineer to design and implement cutting-edge computer vision systems. Your work will focus on in-cabin scenarios, including, but not limited to : detection and classification of occupants and objects, understanding and analyzing human actions and behaviors, and perceiving in-cabin ambience.

Key Responsibilities

• Design multimodal (image / video / text) models using state-of-the-art machine learning and neural network algorithms.
• Create and curate training datasets; iteratively refine data based on model performance and project requirements.
• Implement and optimize distributed training frameworks to accelerate model development.
• Collaborate with deployment teams to enable efficient edge and on-device model deployment.
• Stay current with academic research and integrate novel algorithms into production workflows.
• Coordinate cross-functional efforts across teams and departments.

Minimum Requirements

Preferred Qualifications

The base salary range for this full-time position is $215,280-$364,320 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.