Senior Computer Vision Engineer - Geometry Focus

Location United States of America
Contact name: Maddy Steele

Contact email:
Job ref: 112
Published: 16 days ago

Senior Computer Vision Engineer
Bay Area (Hybrid)

Company: Autonomous driving startup that built cost-effective level 2/3 solutions to reduce the burden of everyday driving and make the roads safe for everyone

Position: Senior Computer Vision Engineer


We are seeking a talented software engineer with expertise in visual odometry and SLAM (simultaneous localization and mapping). As a software engineer and researcher, you will work on real-world problems focused on visual odometry and the reconstruction of 3D environmental objects. You will deploy your solutions to camera-only autonomous vehicles driving on local and highways. This position requires both strong software development skills and broad knowledge in computer vision and machine learning.


What you’ll do

  • Integrate and implement real-time mapping and localization algorithms for outdoor applications.

  • Estimate the 3D location and trajectory of traffic objects in a monocular camera setup.

  • Simulate and test the algorithm in a ROS (Robot Operating System) environment.

  • Deploy a computationally optimized system and achieve real-time performance at embedded target platforms.

  • Explore a new approach for visual SLAM systems leveraged from deep learning


What You Need

  • MS or Ph.D. degree in Computer Science, Electrical Engineering, or equivalent field.

  • 5+ years of working experience in relevant fields such as computer vision, machine learning, and robotics.

  • Strong programming skills in C++ and experience with Python.

  • Solid understanding of an entire pipeline of real-time visual SLAM, including camera model, feature tracking, epipolar geometry, triangulation, and bundle adjustment.


Bonus Qualifications

  • Wide experience with OpenCV and open-source SLAM libraries.

  • Experience with bundle adjustment optimization libraries (e.g. g2o or ceres).

  • Experience with sensor fusion with multiple sensors such as camera, odometry, IMU, radar, lidar, etc.

  • Experience with ROS or other alternative middlewares.

  • Experience with utilizing deep learning-based object detection and segmentation



We offer our employees a comprehensive benefits package including:

  • Medical, dental, and vision coverage

  • Paid Time Off

  • FSA

  • 401K