Responsibilities

• Conduct research and develop 3D computer vision and machine learning algorithms for integrating autonomous driving technology
• Perform 3D shape modeling and processing tasks
• Implement object pose estimation and tracking algorithms
• Develop efficient and scalable vision solutions
• Explore the intersection of vision and robotics
• Work on low-level and physics-based vision algorithms

Qualifications

• Master’s (MS) or Ph.D. in Computer Vision, Robotics, Machine Learning, or a related field
• 7+ years of relevant experience or equivalent practical experience
• Strong theoretical and practical knowledge of computer vision and machine learning algorithms
• Proficiency in programming languages such as Python and C/C++

Preferred Qualifications

• Proven experience in projects or commercial systems related to autonomous driving, robotics, or 3D vision
• Hands-on experience with multi-sensor data processing and fusion (GPS, IMU, cameras, LiDAR)
• Expertise in parallel programming (e.g., CUDA, OpenCL) and system optimization
• Demonstrated experience in SLAM, depth estimation, 3D reconstruction, or pose estimation algorithm design
• Experience in developing VR/AR applications
• Strong academic background with publications in conferences/journals such as CVPR, ICCV, ECCV, TPAMI, or IJCV
• Experience deploying and managing ML models in large-scale cloud environments

Interview Process

• Application Review - Coding Test - 1st Interview - 2nd Interview - 3rd Interview - Offer
• The process may vary by position and is subject to change.
• Schedule and results will be communicated via the email provided in your application.