Senior Computer Vision Engineer - Deployment

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 Senior Computer Vision Engineer to lead the development and deployment of high-performance, large-scale AI models. You will focus on optimizing model inference, implementing compression techniques (quantization, pruning, distillation), and ensuring efficient on-device deployment across GPU and custom AI accelerator platforms. Your work will directly enable the next generation of intelligent systems in autonomous driving and beyond.

Key Responsibilities :

• Optimize large-scale multimodal models for low-latency inference and efficient memory usage across diverse hardware platforms.
• Apply state-of-the-art model compression techniques, including quantization (e.g., INT8 / FP16), pruning, and knowledge distillation.
• Develop and integrate custom inference kernels targeting GPU or custom AI accelerators.
• Build profiling tools and performance models to analyze bottlenecks and guide optimization strategies.
• Contribute to real-world deployment efforts in autonomous driving systems, including on-vehicle testing and iteration.
• Track the latest research in efficient ML inference and integrate relevant techniques into production pipelines.

Minimum Requirements :

Preferred Qualifications :

What do we provide :

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.