Computer Vision Researcher

4 weeks ago

Santa Clara, California, United States XPENG Motors Full time
Job Title: Computer Vision Researcher

Xpeng Motors is a leading smart electric vehicle company that designs, develops, manufactures, and markets smart EVs with advanced Internet, AI, and autonomous driving technologies.



We are committed to in-house R&D and intelligent manufacturing to create a better mobility experience for our customers. We strive to transform smart electric vehicles with technology and data, shaping the mobility experience of the future.



Key Responsibilities:


  • Design and implement vision large language models for autonomous driving or intelligent cabin functions
  • Research and explore vLLM and foundation model algorithms, targeting top academic publications
  • Test, debug, and optimize to generate robust and efficient vision algorithms
  • Collaborate with cross-functional teams on product definition, human-machine interaction (HMI), and HW/SW integration


Requirements:


  • PhD in Computer Science, Electrical Engineering, or related fields
  • Able to do full-time internship onsite in SV office this summer and fall
  • Track-record R&D experience in one of the computer vision topics: vision-large-language-model, multimodality foundation model, action recognition, open vocabulary detection, zero-shot object detection/segmentation/tracking, face recognition, 3D reconstruction
  • Excellent programming skills and knowledge of C++ or Python
  • Familiar with OpenCV, Numpy, and any deep learning frameworks: PyTorch, Tensorflow, etc.
  • Ability to root-cause engineering failures and optimize algorithm over non-idealities
  • Excellent written and oral communication skills


Preferred Requirements:


  • Experience with delivering product in one of the following topics: face detection, face recognition, pose estimation, 3D reconstruction, action recognition (driver monitoring)
  • Knowledge in linear algebra, classic computer vision/image processing
  • Publications in top-tier CV/ML venues: CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR
  • Experience with GPU programming


What We Offer:


  • A fun, supportive, and engaging environment
  • Opportunity to make significant impact on transportation revolution by advancing autonomous driving
  • Opportunity to work on cutting-edge technologies with top talent in the field
  • Competitive compensation package
  • Snacks, lunches, and fun activities


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.



Xpeng Motors is committed to creating a better mobility experience for our customers. We strive to transform smart electric vehicles with technology and data, shaping the mobility experience of the future.



We are looking for a talented Computer Vision Researcher to join our team. The successful candidate will have a PhD in Computer Science, Electrical Engineering, or related fields and experience in computer vision topics such as vision-large-language-model, multimodality foundation model, action recognition, open vocabulary detection, zero-shot object detection/segmentation/tracking, face recognition, and 3D reconstruction.



The ideal candidate will have excellent programming skills and knowledge of C++ or Python, familiarity with OpenCV, Numpy, and deep learning frameworks such as PyTorch and Tensorflow. They will also have the ability to root-cause engineering failures and optimize algorithm over non-idealities, as well as excellent written and oral communication skills.



Xpeng Motors offers a fun, supportive, and engaging environment, with opportunities to make significant impact on transportation revolution by advancing autonomous driving. We also offer competitive compensation packages, snacks, lunches, and fun activities.



We are an Equal Opportunity Employer and welcome applications from qualified candidates.

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