Sr. Engineer, Computer Vision

1 week ago

Troy, United States Magna Services Full time

Sr. Engineer, Computer Vision Job Number: 62284 Group: Magna Corporate Division: Mobility USA Job Type: Permanent/Regular Location: Troy, MICHIGAN, US, 48083 Work Style: About us We see a future where everyone can live and move without limitations. That’s why we are developing technologies, systems and concepts that make vehicles safer and cleaner, while serving our communities, the planet and, above all, people. Forward. For all. Group Summary Magna is more than one of the world’s largest suppliers in the automotive space. We are a mobility technology company built to innovate, with a global, entrepreneurial-minded team. With 65+ years of expertise, our ecosystem of interconnected products combined with our complete vehicle expertise uniquely positions us to advance mobility in an expanded transportation landscape. About the Role This position entails the development of software for computer vision in autonomous mobile robot systems. The computer vision software involves Visual Simultaneous Localization and Mapping (V-SLAM) and depth estimation using image sequences from multiple cameras. You will work with closely the perception group to deliver the essential vision technology that will make autonomous driving reliable and safe. You will not only develop V-SLAM algorithm, but also collaborate with the system integration team to integrate and optimize. Above all, you will be responsible for planning, executing, and coordinating New Mobility programs in collaboration with internal and external departments, supplier companies, institutions, and academia. Your Responsibilities Evaluation of 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-coordinate 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 assures timely completion Your Responsibilities (Cont.) Confer with other project engineers to clarify or resolve problems and develop designs Maintain proper filing systems to ensure all information, (electronic or hard copy), are stored according to departments requirements Provide engineering support to other departments within the company as directed by the department leader Maintain professional and technical knowledge by reviewing professional publications and establishing personal networks Prepare project progress reports Use related computer software and equipment to perform technical analysis tasks Continuing education and/or training is critical as technology evolves Ability to travel domestic and international Perform other duties as required Normal amount of sitting or standing, average mobility to move around an office environment, able to conduct normal amount of work at a computer. Vision abilities required by this job include close vision Who we are looking for 7 + years Experience in research or development in a technology area related to Autonomous Driving (as per the definition in the Job Introduction), or 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. Your preferred qualifications What we offer At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are. Site Benefits Awareness. Unity. Empowerment. At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.

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