Staff Data Platform Engineer

Santa Clara, CA

XPeng Motors

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XPeng Motors is one of China’s leading smart electric vehicle (“EV”) company. We design, develop, manufactures and market smart EVs that are seamlessly integrated with advanced Internet, AI and autonomous driving technologies. We are committed to in-house R&D and intelligent manufacturing to create a better mobility experience for our customers. We strive to transform smart electric vehicles with technology and data, shaping the mobility experience of the future. We’re looking for people who are as excited as we are to solve the complex technical challenges in autonomous driving, see the results of your work in massive production EV cars and make tremendous impact on our future.   Job Responsibilities:
  • Design and implement a cutting-edge real time data management platform for autonomous driving
  • Maintain and optimize data pipelines and infrastructure to support scalable deep learning model training and LLM training.
  • Serve as a primary contributor to the evolution of our data architecture, integrating emerging data frameworks and AI tools, troubleshooting technical challenges, and promoting best practices.
  • Lead high-impact projects involving multiple stakeholders from conception to deployment, ensuring alignment with our strategic long-term objectives
  Basic Qualifications:
  • Master’s degree in Computer Science or equivalent practical experience; minimum of 5 years in data platform development or infrastructure.
  • Proficient in software design and coding with extensive experience in Python, Java, or Scala; deep understanding of data structures and algorithms.
  • Expert knowledge of distributed systems and practical experience with components of the Big Data ecosystem (e.g., Spark, Hadoop, Flink, Kafka, Delta Lake, Elastic Search).
  • Extensive experience with cloud services (AWS, Google Cloud, Azure) and their use in driving industry innovations.
  • Work well independently, demonstrate problem-solving abilities by investigating, analyzing, drawing conclusions, effectively communicates with stakeholders to get assignment done.
  • Enthusiasm for self-driving technology, excellent communication skills, and a strong collaborative spirit.
  Preferred Qualifications:
  • Specialized expertise in developing large-scale, real-time streaming data products.
  • Good understanding of popular model training frameworks, hands-on experience with TensorFlow and PyTorch.
  What do we provide:
  • A dynamic, supportive, and engaging work environment where creativity thrives.
  • The opportunity to make a significant impact on the transportation revolution through advancements in autonomous driving.
  • Exposure to cutting-edge technologies alongside top industry talent.
  • Competitive compensation package.
  • Perks including snacks, lunches, and organized fun activities.
  The base salary range for this full-time position is $180,000-$300,000, 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.
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Tags: Architecture Autonomous Driving AWS Azure Big Data Computer Science Data management Data pipelines Deep Learning Distributed Systems Flink GCP Google Cloud Hadoop Java Kafka LLMs Model training Pipelines Python PyTorch R R&D Scala Spark Streaming TensorFlow

Perks/benefits: Career development Competitive pay Equity / stock options Salary bonus

Region: North America
Country: United States

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