Sr. Engineer, Computer Vision

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

• 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

• Experience in research or development in a technology area related to Autonomous Driving (as per the definition in the Job Introduc