Senior Staff AI Data Infrastructure/Pipeline Engineer

<div data-page-id="JtHmdFPBFoDeeNxg3hrc4Xyjnhg" data-docx-has-block-data="false"> <div class="ace-line ace-line old-record-id-X1AxdI3wHoDJuhxEQzscIQfNnxb"> <div data-page-id="IlWVdPHa4oaUIgxAp1KccvMknZZ" data-docx-has-block-data="false"> <div class="ace-line ace-line old-record-id-TMEXdNB2hoez9lx0yNEcRvhgnht"> <div data-page-id="Pd7XdC4E7oI0w5xg9NlcS9nMn4E" data-lark-html-role="root" data-docx-has-block-data="false"> <div class="ace-line ace-line old-record-id-IlaFdwrzCokPoyxCHqDcqhYWnTe"> <div data-page-id="N2BkderONoTEZGxHa1bcGuqdn7N" data-lark-html-role="root" data-docx-has-block-data="false"> <div class="ace-line ace-line old-record-id-FwFLdHX5YoFzunxw1vGcWjt0n7d"><strong>XPENG</strong>&nbsp;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&amp;D in AI, machine learning, and smart connectivity.<br> <div data-lark-html-role="root"> <div class="rich-text-paragraph" data-eleid="26">&nbsp;</div> <div class="rich-text-paragraph" data-eleid="26"> <div data-lark-html-role="root"> <div class="rich-text-paragraph" data-eleid="6"><span class="text-only" data-eleid="7"><span class="text-only">As a core member of our </span></span><strong><span class="text-only" data-eleid="8"><span class="text-only">AI Infrastructure team</span></span></strong><span class="text-only" data-eleid="9"><span class="text-only">, y</span></span>ou will be responsible for building the end-to-end data pipeline for autonomous driving, covering the entire chain from onboard data upload → cloud-based preprocessing → dataset production → model training / simulation input. In autonomous driving systems, the stability and efficiency of the pipeline directly determine the speed of algorithm iteration. We look forward to building a reliable, observable, and cost-effective data pipeline that supports the daily flow of petabyte-scale sensor data.</div> <div class="rich-text-paragraph" data-eleid="10">&nbsp;</div> <div class="rich-text-paragraph" data-eleid="10"><strong><span class="text-only" data-eleid="11"><span class="text-only">Key Responsibilities</span></span></strong></div> <div data-page-id="R4yMd0OnWoLwTrxfiGmcDt9Inad" data-lark-html-role="root" data-docx-has-block-data="false"> <ul class="list-bullet1"> <li class="ace-line ace-line old-record-id-Sl2gdO6HhoPLl4xmQ4Hc8LUznvM" data-list="bullet"> <div>Responsible for the design and construction of core data closed loop pipelines. Develop toolchains for data cleaning, annotation quality inspection, and data mining to support the algorithm team in quickly locating model error cases and driving iterative model optimization.</div> </li> <li class="ace-line ace-line old-record-id-Fm7VdV8zNo1C0exoaz3cimLznLe" data-list="bullet"> <div>Data Support for Production and R&amp;D Processes. This includes log event tracking, connected vehicle data, internal and external data collection, data synchronization, data cleaning and standardization, data modeling, offline and real-time data processing, data as a service, and data visualization. Support business operations such as autonomous driving, smart cockpits, overseas data collection, and robotics data collection.</div> </li> <li class="ace-line ace-line old-record-id-EPVQdpz9Kod3igx1mf0cXsxQnfb" data-list="bullet"> <div>Responsible for optimizing the performance of the entire data pipeline (collection, cleaning, conversion). Solve bottlenecks in large-scale data transmission, memory management, I/O, etc., and build a distributed data processing system with high throughput and low latency.</div> </li> <li class="ace-line ace-line old-record-id-N7yQdyeNroStxHxG7WicIL0rnHb" data-list="bullet"> <div>Responsible for building a data management platform covering the entire process from data collection to data lake ingestion to model training. Implement capabilities for data version control, data lineage tracing, metadata management, and fast data retrieval to support unified data access and collaboration across multiple teams.</div> </li> <li class="ace-line ace-line old-record-id-KLrodgH3RoZn1ixCdOncjsY6nlc" data-list="bullet"> <div>Collaborate with the large model team and other technical teams to deeply understand business requirements, respond quickly, and ensure successful implementation.</div> </li> </ul> </div> <div class="rich-text-paragraph" data-eleid="25">&nbsp;</div> </div> </div> <div class="rich-text-paragraph" data-eleid="26"><strong><span class="text-only" data-eleid="27"><span class="text-only">Basic Qualifications</span></span></strong></div> <div data-page-id="R4yMd0OnWoLwTrxfiGmcDt9Inad" data-lark-html-role="root" data-docx-has-block-data="false"> <ul class="list-bullet1"> <li class="ace-line ace-line old-record-id-GUPDdxMKAo6loUxrcHscbybHnGh" data-list="bullet"> <div>Bachelor's degree or higher in Computer Science, Software Engineering, Artificial Intelligence, or related fields.</div> </li> <li class="ace-line ace-line old-record-id-WKXKdWmEtoYt3cxQqCocofS4nLh" data-list="bullet"> <div>5-8+ years of experience in large-scale data processing or data platform development.</div> </li> <li class="ace-line ace-line old-record-id-FWO8dgZGToq9GQxYZCjcqYRjnrc" data-list="bullet"> <div>Proficiency in at least one programming language among Python / Go / Java. Solid software engineering foundation, good coding standards, and a strong sense of code quality.</div> </li> <li class="ace-line ace-line old-record-id-O68QdIfoRobdnExxUKPcZYPWnJh" data-list="bullet"> <div>Hands-on project experience in at least two of the following areas:</div> <ul class="list-bullet2"> <li class="ace-line ace-line old-record-id-FeDAd5iC9oqi6IxxENCcOeNfnee" data-list="bullet"> <div>Design and development of large-scale data pipelines / ETL systems, with end-to-end experience in data cleaning, transformation, and loading.</div> </li> <li class="ace-line ace-line old-record-id-SuBEdBjOKozz68xyeAAc3ay9nUg" data-list="bullet"> <div>Production-level experience with distributed message queues (Kafka / Pulsar / RabbitMQ), familiar with stream processing paradigms.</div> </li> <li class="ace-line ace-line old-record-id-RBUVdH9VFo2r19xNgjlcw3f6nec" data-list="bullet"> <div>Experience with distributed data lake systems (e.g., Apache Iceberg), familiar with Iceberg's table format, partition evolution, snapshot isolation, etc., with practical performance tuning and deployment experience.</div> </li> <li class="ace-line ace-line old-record-id-YBA2d80ByoFZsgxi6DjcPth6nzc" data-list="bullet"> <div>Experience with columnar storage formats (e.g., Lance) and related query engines, with practical application in large model training.</div> </li> </ul> </li> <li class="ace-line ace-line old-record-id-Q023dYdLzo2JIpxx60McOso2nkb" data-list="bullet"> <div>Hands-on experience using and optimizing relational databases (MySQL / PostgreSQL) and NoSQL databases (Redis / MongoDB). Understand metadata management and caching strategies.</div> </li> <li class="ace-line ace-line old-record-id-Q6J7djuFaobDKcxd1x6cc45an8g" data-list="bullet"> <div>Experience in performance optimization and troubleshooting for large-scale distributed systems, able to quickly locate and resolve complex performance bottlenecks. Experience with Kubernetes / Docker containerization deployment.</div> </li> <li class="ace-line ace-line old-record-id-XlF7dOP5DomZm9x18MlcPNohnEe" data-list="bullet"> <div>Strong cross-team communication and collaboration skills, high sense of responsibility, and proactive problem-solving attitude.</div> </li> </ul> </div> <div class="rich-text-paragraph" data-eleid="49">&nbsp;</div> <div class="rich-text-paragraph" data-eleid="50"><strong><span class="text-only" data-eleid="51"><span class="text-only">Preferred Qualifications</span></span></strong></div> <div class="rich-text-paragraph" data-eleid="50"> <div data-page-id="R4yMd0OnWoLwTrxfiGmcDt9Inad" data-lark-html-role="root" data-docx-has-block-data="false"> <ul class="list-bullet1"> <li class="ace-line ace-line old-record-id-IAjpdd7kooX07ixOX4JcxHQnnHb" data-list="bullet"> <div>Familiarity with closed-loop data in the embodied AI industry will be a huge plus.</div> </li> <li class="ace-line ace-line old-record-id-IVzddYsyVoL3mVxY4IkcnEorni1" data-list="bullet"> <div>Some understanding of the autonomous driving industry, awareness of data closed loop and data flywheel concepts, and enthusiasm for this field.</div> </li> <li class="ace-line ace-line old-record-id-ElKTdNDvKoZYr1xyw4ycn2lKnLb" data-list="bullet"> <div>Experience with AI infrastructure or model training workflows (e.g., data loading, feature engineering, data preparation for model evaluation).</div> </li> <li class="ace-line ace-line old-record-id-DhYrd5NA4o1n3wxnRNWc2R4bnCe" data-list="bullet"> <div>Familiarity with data lake / data warehouse systems, with practical experience implementing data version control and data lineage tracing.</div> </li> <li class="ace-line ace-line old-record-id-SMajdOg1Koe4WTxsrg2cYB8an2f" data-list="bullet"> <div>Open-source contributions on GitHub or a technical blog, with continuous attention to the latest technological trends in big data / AI infrastructure.</div> </li> </ul> <p>&nbsp;</p> <div class="ace-line ace-line old-record-id-YQfodwd0roSoE1xku35ctLAEn0g"><strong>What do we provide:</strong></div> <div class="ace-line ace-line old-record-id-HLxadkmd3ozOuvxcHhTcJTQ1nbf"> <ul> <li>A fun, supportive and engaging environment.</li> <li>Infrastructures and computational resources to support your work.</li> <li>Opportunity to work on cutting edge technologies with the top talents in the field.</li> <li>Opportunity to make significant impact on the transportation revolution by the means of advancing autonomous driving.</li> <li>Competitive compensation package.</li> <li>Snacks, lunches, dinners, and fun activities.</li> </ul> </div> </div> </div> <div class="rich-text-paragraph" data-eleid="50">&nbsp;</div> <div class="rich-text-paragraph" data-eleid="50">The base salary range for this full-time position is $203,450-$344,300, 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.</div> </div> </div> <div class="ace-line ace-line old-record-id-SW6gdVM0XoWLiOxveyzcFcuDn4f">&nbsp;</div> <div class="ace-line ace-line old-record-id-KwuJdxW61o8D4axaPSbcZkz5nXc">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.</div> </div> </div> </div> </div> </div> </div> </div>