XPENG
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:
Work on systems such as inference platform, ETL pipeline, data mining, and image search. Collaborate with ML algorithm engineers and data analysts to improve perception and prediction performance while increasing iteration speed. Partner with big data engineers and infra engineers to build a state-of-the-art ML engineering platform. Analyze requirements, system design, implementation, testing, cloud deployment, monitoring, and user support. Minimum Skill Requirements:
Bachelor's or graduate degree in Computer Science or a related field. 5-7+ years of high-performance distributed system design and implementation experience. Proficient in at least one backend language (Python, Java, etc.) and possess strong engineering skills. Strong learning and communication skills, results-driven and self-motivated. Preferred Skill Requirements:
Big data experience: experience in container technology (Docker, Kubernetes); hands-on ML systems/ADAS related experience. What We Provide:
A fun, supportive, and engaging environment. Opportunities to pursue and work on bleeding-edge technologies. Snacks, lunches, and fun activities. The base salary range for this full-time position is $179,400-$303,600, 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, marital status, or any other prescribed category set forth in federal or state regulations. Apply for this Job
* indicates a required field First Name * Last Name * Email * Phone * Location (City) Resume/CV * LinkedIn Profile Website Are you legally authorized to work in the United States? * Select... Will you now or in the future require sponsorship for an employment visa (e.g., H-1B visa)? * Select...
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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:
Work on systems such as inference platform, ETL pipeline, data mining, and image search. Collaborate with ML algorithm engineers and data analysts to improve perception and prediction performance while increasing iteration speed. Partner with big data engineers and infra engineers to build a state-of-the-art ML engineering platform. Analyze requirements, system design, implementation, testing, cloud deployment, monitoring, and user support. Minimum Skill Requirements:
Bachelor's or graduate degree in Computer Science or a related field. 5-7+ years of high-performance distributed system design and implementation experience. Proficient in at least one backend language (Python, Java, etc.) and possess strong engineering skills. Strong learning and communication skills, results-driven and self-motivated. Preferred Skill Requirements:
Big data experience: experience in container technology (Docker, Kubernetes); hands-on ML systems/ADAS related experience. What We Provide:
A fun, supportive, and engaging environment. Opportunities to pursue and work on bleeding-edge technologies. Snacks, lunches, and fun activities. The base salary range for this full-time position is $179,400-$303,600, 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, marital status, or any other prescribed category set forth in federal or state regulations. Apply for this Job
* indicates a required field First Name * Last Name * Email * Phone * Location (City) Resume/CV * LinkedIn Profile Website Are you legally authorized to work in the United States? * Select... Will you now or in the future require sponsorship for an employment visa (e.g., H-1B visa)? * Select...
#J-18808-Ljbffr