Talent.com
Senior Computer Vision Engineer - vLLM

Senior Computer Vision Engineer - vLLM

XPENGSanta Clara, CA, US
job_description.job_card.variable_days_ago
serp_jobs.job_preview.job_type
  • serp_jobs.job_card.full_time
job_description.job_card.job_description

Senior Computer Vision Engineer - vLLM

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.

We are seeking a passionate and skilled Computer Vision Engineer to design and implement cutting-edge computer vision systems. Your work will focus on in-cabin scenarios, including, but not limited to : detection and classification of occupants and objects, understanding and analyzing 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.

Minimum Requirements

  • 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.
  • serp_jobs.job_alerts.create_a_job

    Computer Vision Engineer • Santa Clara, CA, US