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.
Job Responsibilities：
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Develop big data application for ADAS
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Work on systems such as inference platform, ETL pipeline, data mining, image search
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Work with ML algorithm engineers, data analysts to improve perception, prediction performance and increase iteration speed
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Work with other big data engineers, infra engineers to build state of the art ML engineering platform
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Analyze requirements, system design and implementation, testing, cloud deployment, monitoring and user support.
Minimum Skill Requirements:
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Bachelor or graduate degree in CS or a related field
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5-7 + years of high performance distributed system design and implementation experience
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Proficient in at least one backend language (Python, Java, etc) and strong engineering skills
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Strong learning and communication skills, results driven and self motivated
Preferred Skill Requirements:
What do we provide:
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A fun, supportive and engaging environment
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Opportunities to pursue and work on bleeding edge technologies
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Competitive salary
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Snacks, lunches and 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.
