Director/Principal Engineer - Big Data

XPeng Motors is one of China’s leading smart electric vehicle (EV) companies. We design, develop, and manufacture 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 are seeking aDirector/Principal Engineer for Big Data Team to lead the strategic development and operational excellence of XPENG's autonomous driving business. This role demands a unique blend of technical acumen and operational expertise to oversee our AI and data platform, infrastructure tooling, and data delivery processes, enabling the delivery of high-quality data sets essential for autonomous driving innovation.Responsibilities:Develop and execute the strategic vision for our big data infrastructure, aligned with the company's overall goals and objectivesLead the design, development, and maintenance of big data systems, HPC platforms and infrastructures. Including data ingestion pipelines, processing frameworks, scalable storage solutions, and advanced analytics platforms, etc.Establish and drive the technical roadmap for XPENG's autonomous driving data infrastructure, including both data and AI platforms, data pipelines, tooling, and system stabilitySupervise the delivery of high-quality, well-annotated data sets critical for autonomous driving innovationCollaborate with cross-national and cross-functional teams, including engineering and product development to drive alignment and deliver integrated solutionsDevelop and manage budgets, operational plans, and technology roadmaps to achieve business objectivesBuild and maintain relationships with key stakeholders, including business leaders, technology partners, and industry expertsQualifications:Master’s degree or higher in Computer Science, Data Science, or a related field10+ years of experience in big data infrastructure development, with a strong preference for candidates experienced in the autonomous driving sector. Experience in managing large-scale operations is highly valuedStrong technical expertise in big data technologies, including Hadoop, Spark, cloud-native platforms (e.g., AWS, GCP, or Alibaba Cloud), and data labeling operation, etc.Exceptional leadership and project management skills, with a proven ability to lead diverse, multi-disciplinary teamsExcellent communication skills, with the ability to articulate complex technical concepts clearly and persuasively to both technical and non-technical stakeholdersAdvanced analytical and problem-solving skills to navigate and make decisions in challenging and dynamic environmentsProven ability to excel in fast-paced, agile environments with multiple stakeholders and competing priorities.Fluency in Mandarin and English is requiredWhat do we provide:A fun, supportive and engaging environmentOpportunity to make significant impact on transportation revolution by the means of advancing autonomous drivingOpportunity to work on cutting edge technologies with the top talent in the fieldCompetitive compensation package & benefitsSnacks, lunches, and fun activitiesThe base salary range for this full-time position is $241,800-$409,200, 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.