XPENG & Volkswagen Group
Senior Computer Vision Engineer - vLLM
XPENG & Volkswagen Group, Santa Clara, California, us, 95053
XPENG
– Computer Vision Engineer XPENG is a leading smart technology company at the forefront of innovation, integrating AI and autonomous driving technologies into vehicles, including EVs, eVTOL aircraft, and robotics. We focus on reshaping the future of transportation through R&D in AI, machine learning, and smart connectivity. We are seeking a passionate and skilled
Computer Vision
Engineer to design and implement cutting-edge computer vision systems for in-cabin scenarios, including detection and classification of occupants and objects, understanding human actions and behaviors, and perceiving in-cabin ambience.
Key Responsibilities
Design multimodal (image/video/text) models using state-of-the-art machine learning and neural network algorithms.
Create and curate training datasets; iteratively refine data based on model performance and project requirements.
Implement and optimize distributed training frameworks to accelerate model development.
Collaborate with deployment teams to enable efficient edge and on-device model deployment.
Stay current with academic research and integrate novel algorithms into production workflows.
Coordinate cross-functional efforts across teams and departments.
Master’s or Ph.D. in Computer Science or a related field, with strong expertise in computer vision and machine learning.
Open to new graduates.
Hands-on experience in model development (CV/VL models) and algorithm optimization.
Proficiency in PyTorch or TensorFlow, and experience with data preprocessing techniques.
Strong collaboration and communication skills.
Ability to read, interpret, and implement research papers effectively.
Preferred Qualifications
Experience coordinating across multiple teams.
Familiarity with large-scale model pretraining, quantization, or distributed training.
Publications in top-tier conferences (e.g., CVPR, ICCV, NeurIPS) or contributions to open-source projects.
Experience with edge device deployment or applications in autonomous driving.
The base salary range for this full-time position is $174,720 - $295,680 in addition to bonus, equity and benefits. Salary ranges are determined by role, level, and location; ranges reflect the minimum and maximum target for new hire salaries across all US locations. Within the range, pay is determined by location and factors including skills, experience, and education or training.
Equal Opportunity Employer : XPENG provides 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 category required by law.
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– Computer Vision Engineer XPENG is a leading smart technology company at the forefront of innovation, integrating AI and autonomous driving technologies into vehicles, including EVs, eVTOL aircraft, and robotics. We focus on reshaping the future of transportation through R&D in AI, machine learning, and smart connectivity. We are seeking a passionate and skilled
Computer Vision
Engineer to design and implement cutting-edge computer vision systems for in-cabin scenarios, including detection and classification of occupants and objects, understanding human actions and behaviors, and perceiving in-cabin ambience.
Key Responsibilities
Design multimodal (image/video/text) models using state-of-the-art machine learning and neural network algorithms.
Create and curate training datasets; iteratively refine data based on model performance and project requirements.
Implement and optimize distributed training frameworks to accelerate model development.
Collaborate with deployment teams to enable efficient edge and on-device model deployment.
Stay current with academic research and integrate novel algorithms into production workflows.
Coordinate cross-functional efforts across teams and departments.
Master’s or Ph.D. in Computer Science or a related field, with strong expertise in computer vision and machine learning.
Open to new graduates.
Hands-on experience in model development (CV/VL models) and algorithm optimization.
Proficiency in PyTorch or TensorFlow, and experience with data preprocessing techniques.
Strong collaboration and communication skills.
Ability to read, interpret, and implement research papers effectively.
Preferred Qualifications
Experience coordinating across multiple teams.
Familiarity with large-scale model pretraining, quantization, or distributed training.
Publications in top-tier conferences (e.g., CVPR, ICCV, NeurIPS) or contributions to open-source projects.
Experience with edge device deployment or applications in autonomous driving.
The base salary range for this full-time position is $174,720 - $295,680 in addition to bonus, equity and benefits. Salary ranges are determined by role, level, and location; ranges reflect the minimum and maximum target for new hire salaries across all US locations. Within the range, pay is determined by location and factors including skills, experience, and education or training.
Equal Opportunity Employer : XPENG provides 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 category required by law.
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