Newark, CA, USA
42 days ago
Computer Vision Engineer

Role and Responsibilities

• Conduct research, design, implement, optimize, and deploy advanced computer vision algorithms aimed at enhancing driving and parking functionalities.

• Develop high-quality automotive-grade software that adheres to rigorous automotive quality and safety standards.

• Seamlessly integrate the software stack with the overall perception software architecture to ensure optimal performance and exceptional fault tolerance in onboard perception systems.

• Execute testing, release, and launch procedures for perception algorithms within production programs.

• Actively contribute to the ADAS software roadmap, strategic planning, and development timelines.

• Assist in defining system requirements and identifying performance metrics for individual components.

• Perform on-road ADAS software testing and develop comprehensive test plans to support algorithm development.

Required Qualifications

• Bachelor’s degree in Computer Engineering, Electrical Engineering, Robotics, or Mechanical Engineering.

• In-depth knowledge and practical experience in 3D computer vision, multi-view geometry, and SfM/SLAM techniques.

• Strong expertise in camera calibration, linear algebra, numerical optimization, factor graph representations, and statistical estimation theory. Familiarity with OpenCV and image processing techniques is essential.

• A robust foundation in mathematics and robotics, enabling the proposal of innovative solutions for autonomous systems.

• Proficiency in C++ with extensive knowledge in object-oriented programming, algorithms, data structures, and software design principles.

• Excellent communication skills and the ability to work collaboratively as a team player.

Preferred Qualifications

• Master’s degree in Computer Vision, Computer Engineering, Electrical Engineering, Robotics, or Mechanical Engineering.

• A minimum of 3 years of relevant experience or a Ph.D. with minimal prior experience.

• Familiarity with optimization libraries such as GTSAM, Ceres, g20, etc.

• Experience with real-time operating systems (e.g., QNX, Ubuntu, etc.).

• Proficient in working with various sensor modalities including GPS/IMU, ultrasonic sensors, wheel odometry, etc.

• Experience in collaborating within agile development teams.

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