Martinrea
Martinrea is a diversified global automotive supplier engaged in the design, development and manufacturing of highly engineered, value-added Lightweight Structure and Propulsion Systems.
Job Summary
As a Software Design Engineering Co-op you will be joining the process innovation team focused on building the factory of the future. We are a young and ambitious team developing high-tech cutting-edge products for improving the qualityefficiency of our automated production while improving the lives of our staff/colleagues.
Your role will be part of our Computer Vision team where you will be developing products to improve the quality of the parts we make and modernize common manufacturing processes.
Topics may include: camera hardware interfacing, vision analysis pipelines, machine learning, GPU computing, etc.
The broader team is also responsible for building autonomous vehicles, web apps, and a broad all-encompassing development framework/platform for building, developing, and deploying our solutions. This is a fully in-person role.
Required Skills
Hard Minimum Qualifications
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Proficient with Python, data structures, and algorithms
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Experience working with Linux-based operating systems (such as: Debian, Ubuntu)
Expected Qualifications
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Currently enrolled in and returning to a post-secondary Engineering, Computer Science, Software Engineering, Mechatronics, Robotics, or related program.
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Strong proficiency in Python, data structures, and algorithms.
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Experience developing software projects beyond academic coursework.
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Experience with Linux and Git-based development workflows.
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Comfortable applying mathematical concepts such as linear algebra in code.
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Experience with at least one of: Computer Vision, Machine Learning, Robotics, or Embedded Systems.
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Ability to independently debug and solve complex technical problems.
Bonus Points
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Developed computer vision applications using OpenCV.
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Experience with C++, CUDA, Raspberry Pi, NVIDIA Jetson, or similar technologies.
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Experience working with cameras, sensors, robots, or industrial hardware.
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Completed courses such as Computer Vision, Machine Learning, Linear Algebra II, or advanced Algorithms/Data Structures.
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Participated in robotics teams, engineering design teams, research projects, hackathons, open-source projects, or technical competitions.
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Demonstrated leadership through technical projects, student organizations, or engineering teams
Tools and Skills You May Develop
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Advanced software development in Python and C++.
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GPU computing and optimization using CUDA.
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Industrial computer vision system design and deployment.
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Camera hardware, optics, and image sensor technologies.
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Machine learning and deep learning for image analysis.
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OpenCV and custom vision algorithm development.
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Embedded and edge-computing deployment.
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Real-world application of mathematics to engineering problems
What Success Looks Like
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Develop production-quality software used in automotive manufacturing.
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Design, test, and deploy computer vision systems on production equipment.
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Troubleshoot complex software, hardware, and vision-system issues.
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Take ownership of projects from concept through deployment.
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Collaborate effectively with engineers, technicians, and plant personnel.
Artificial intelligence may be used during the recruitment process to screen, assess, or select applicants
