XMotors.ai is the autonomous driving division of the XPENG Motors, a leading Chinese electric vehicle and technology company that designs and manufactures automobiles that are seamlessly integrated with advanced Internet, AI and autonomous driving technologies.
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 the state of the art data and machine learning pipelines for Autonomous Driving solutions.
Work closely with cross-functional teams to ship data products on time with quality.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Participate in planning, design and code reviews.
Basic Qualifications
MS in Computer Science or equivalent (in lieu of degree, relevant work experience). 3+ years of working experience in data platform or infrastruture.
Strong software design and coding skills using Python/Java/Scala.
Strong knowledge and hands on working experience of Big Data ecosystem components, such as Spark, Hadoop, Kafka, Flink, etc.
Working knowledge of relational and NoSQL database systems.
Passionate about self-driving technology; excellent communication skills and strong teamwork spirit.
Preferred Qualifications
Hands-on experience of working in cloud environments such as AWS, Azure etc.
Experience working with Docker and kubernetes.
What do We Provide?
A fun, supportive and engaging environment
Opportunities to pursue and work on cutting edge technologies
Snacks, lunches and fun activities.
Competitive salary and stock options
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.