XPENG 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&D in AI, machine learning, and smart connectivity.
Job Responsibilities:
Develop big data application for ADAS
Work on systems such as inference platform, ETL pipeline, data mining, image search
Work with ML algorithm engineers, data analysts to improve perception, prediction performance and increase iteration speed
Work with other big data engineers, infra engineers to build state of the art ML engineering platform
Analyze requirements, system design and implementation, testing, cloud deployment, monitoring and user support.
Minimum Skill Requirements:
Bachelor or graduate degree in CS or a related field
3-5 + years of high performance distributed system design and implementation experience
Proficient in at least one backend language (Python, Java, etc) and strong engineering skills
Strong learning and communication skills, results driven and self motivated
Preferred Skill Requirements:
What do we provide:
A fun, supportive and engaging environment
Opportunities to pursue and work on bleeding edge technologies
Competitive salary
Snacks, lunches and fun activities
The base salary range for this full-time position is $145,600-$246,400, 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.