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XPENG · 1 day ago

Staff Software Engineer - AI Infrastructure

Santa Clara, CA

Full-time

Onsite

Senior Level, Lead/Staff

$179K/yr - $304K/yr

5+ years exp

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles. The role involves building and optimizing next-generation AI infrastructure for autonomous driving, robotics, and intelligent cockpit applications, focusing on efficiency, scalability, and reliability.

AutomotiveAutonomous VehiclesElectric VehicleManufacturing

Responsibilities

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

Qualification

Machine Learning InfrastructureLarge-scale Data ProcessingPythonDistributed ComputingRelational DatabasesNoSQL SystemsLinux File SystemsCommunication SkillsAdaptabilityCollaboration

Required

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

Preferred

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)

Benefits

Bonus

Equity

Benefits

Company

XPENG

Glassdoor2.8

XPeng is a leading Chinese Smart EV company that designs, develops, manufactures, and markets Smart EVs that appeal to the large and growing base of technology-savvy middle-class consumers.

Founded in 2014

Guangzhou, Guangdong, CHN

10001+ employees