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.
- Contribute to one or more of the following areas:
- Design and optimize large-scale data processing, production and loading pipelines, supporting heterogeneous data types (images, videos, point clouds, sensor streams, etc.).
- Build and maintain high-performance dataset management and loading frameworks, ensuring low-latency, high-throughput pipelines for training and inference.
- Develop and optimize distributed compute and inference systems, including scheduling, resource utilization, and performance tuning.
- Collaborate with cross-functional teams (e.g. Algorithms, Data Lakehouse) to translate requirements into production-ready infrastructure solutions.
- Continuously monitor, profile, and eliminate bottlenecks across AI data, inference and compute stack.
Basic Qualifications
- Master’s degree in Computer Science, Software Engineering, or equivalent experience.
- 5+ years of experience in large-scale data processing or ML infrastructure.
- Proficient in Python with solid software engineering fundamentals, clean coding practices, and strong debugging skills.
- Hands-on experience with relational databases and NoSQL systems, including metadata and cache management; prior experience with large-scale VectorDB is highly desirable.
- Familiarity with Linux file systems and network I/O optimization for distributed or object storage.
- Strong communication skills and ability to work cross-functionally in fast-paced environments.
- Strong ability to learn quickly, adapt to new challenges, and proactively explore and adopt new technologies.
- Familiarity with the autonomous driving industry and enthusiasm for its challenges.
- Experience with distributed computing frameworks such as Ray, Flink or Spark.
- Experience in building and scaling ML infrastructure in cloud-native environments.
- Experience in any of the following areas:
- Large-scale deep learning training or inference optimization focused on scalability and model acceleration.
- Columnar storage formats (Parquet/ORC) and related ecosystems, including partitioning, compression, and vectorized I/O optimization.
- Large-scale data loading frameworks (PyTorch Dataloader, Hugging Face Datasets).
Top Skills
What We Do
Xpeng Motors is a leading Chinese electric vehicle and technology company that designs and manufactures intelligent automobiles that are seamlessly integrated with the Internet and utilize the latest advances in artificial intelligence. Focusing on China’s young and tech-savvy consumer base, XPENG Motors strives to offer smart mobility solutions with technology innovation and cutting-edge R&D. The company’s initial backers include its CEO & Chairman He Xiaopeng, the founder of UCWeb Inc. and a former Alibaba executive. It was co-founded in 2014 by Henry Xia and He Tao, former senior executives at Guangzhou Auto with expertise in innovative automotive technology and R&D. It has received funding from prominent Chinese and international investors including Alibaba Group, Foxconn Group and IDG Capital. Currently with 3,000 employees, the company is headquartered in Guangzhou and has design, R&D, manufacturing and sales & marketing divisions in Silicon Valley, San Diego, Beijing, Shanghai, Zhaoqing (Guangdong Province) and Zhengzhou (Henan Province).
