Senior Computer Vision Engineer (Autonomous Driving)
Description For Senior Computer Vision Engineer (Autonomous Driving)
42dot is seeking a Senior Computer Vision Engineer to join their Autonomous Driving team. This role focuses on advancing autonomous driving technologies through sophisticated computer vision and machine learning techniques. The position involves processing visual data from autonomous vehicles and implementing human-level perception capabilities. The ideal candidate will have extensive experience in computer vision, robotics, and machine learning, with a strong academic background and practical experience in autonomous driving systems. The role offers an opportunity to work on cutting-edge technology in the autonomous vehicle industry, developing and implementing advanced algorithms for 3D vision, object tracking, and sensor fusion. The position is based in Mountain View, with a hybrid work arrangement, making it ideal for those who value flexibility while working on revolutionary autonomous driving technology.
Responsibilities For Senior Computer Vision Engineer (Autonomous Driving)
- 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
Requirements For Senior Computer Vision Engineer (Autonomous Driving)
- 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++
- 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
- Experience in SLAM, depth estimation, 3D reconstruction, or pose estimation algorithm design
- Experience deploying and managing ML models in large-scale cloud environments
