Senior Computer Vision Engineer

1 day ago

Troy, Michigan, United States Magna Services Full time
About the Role

This position involves the development of software for computer vision in autonomous mobile robot systems. The computer vision software encompasses Visual Simultaneous Localization and Mapping (V-SLAM) and depth estimation using image sequences from multiple cameras. You will collaborate closely with the perception group to deliver the essential vision technology that will make autonomous driving reliable and safe. Your responsibilities will include planning, executing, and coordinating New Mobility programs in collaboration with internal and external departments, supplier companies, institutions, and academia.

Key Responsibilities
  • Evaluate technologies and product designs with compliance to scientific principles, engineering principles, company standards, customer requirements, and related specifications.
  • Support the development of innovative components and modules from the initial concept phase through the complete development process, including design engineering, validation, prototyping, testing, and evaluation of the proposed production-capable process and business case.
  • Contribute to team effort by providing innovative ideas for products and processes and by sharing information with other team members.
  • Analyze engineering results and propose product changes to determine feasibility, improvement of components and systems, and functional/performance specifications.
  • Correlate experimental data to simulation data.
  • Maintain innovation project schedule by monitoring project progress, co-coordinating activities, calculating time requirements, sequencing project elements, and resolving problems.
  • Specify requests and coordinate all sub-contracted work (i.e., S/W development, prototyping, validation, testing) and assure timely completion.
Requirements
  • 7+ years of experience in research or development in a technology area related to Autonomous Driving, Robotics, or equivalent combination of education/experience.
  • Master's or higher degree in Engineering, including but not limited to: Computer Vision, Computer Science, Electrical, Robotics, Aerospace, and Mechanical Engineering.
  • Practical experience with SLAM, 3D reconstruction, optical flow, and depth from motion.
  • Experience with Vision/Lidar/Radar sensors.
  • Proficiency in programming languages such as Python, C/C++, etc.
  • Hands-on experience with ROS/ROS2.
  • Hands-on experience with edge devices.
  • Hands-on experience in extrinsic and intrinsic calibration of camera.
  • Practical experience in training and deploying deep learning models.
  • Exposure to any kind of Direct Visual SLAM/Odometry.
  • Exposure to any kind of Photometric Bundle Adjustment.
  • Exposure to one or more of the following deep learning models: semantic segmentation, instance segmentation, panoptic segmentation, monocular depth estimation, key point estimation, optical flow.
  • Exposure to autonomous algorithms including localization, perception, deep learning, tracking, searching, control, and random variable theory.
  • Strong spoken and written English language skills.
Preferred Qualifications

We are looking for a highly motivated and experienced professional to join our team. If you have a passion for computer vision and autonomous driving, we encourage you to apply.

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