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Form of workAbout 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
Your Responsibilities
- Research, design, and implement state-of-the-art traditional Computer Vision algorithms and techniques including Feature extraction, Feature Description, Optical flow, Depth estimation, Visual SLAM, Visual tracking, and Camera calibration.
- Develop and optimize deep learning models for Computer Vision tasks to make them robust and efficient.
- Collaborate with cross-functional teams to understand project requirements and design appropriate solutions.
- Conduct thorough analysis and evaluation of existing algorithms and methodologies to identify areas for improvement.
- Provide technical guidance and mentorship to junior team members.
- Participate in code reviews, documentation, and knowledge sharing sessions.
Who we are looking for
- Master’s or Ph.D. degree in Computer Science, Electrical Engineering, or related field
- Proven experience (at least 3-5 years after Ph.D. or 6-8 years after MS) in Computer Vision research and development
- Proficiency in programming languages such as Python, C/C++, and experience with deep learning frameworks (e.g., TensorFlow, PyTorch)
- Strong understanding of image processing techniques, feature extraction, and image analysis.
- Solid mathematical foundation, including linear algebra, calculus, and statistics
- Effective communication skills with the ability to convey complex concepts to both technical and non-technical stakeholders
Your preferred qualifications
- Traditional Computer Vision knowledge and experience including Feature extraction, Feature Description, Optical flow, Depth estimation, Visual SLAM, Visual tracking, and Camera calibration, etc.
- Experience with deep learning approaches to Computer Vision.
- Published research in areas of Computer Vision, machine learning, AI, or related fields.
- Strong communication skills and the ability to work in a team.
- Expertise in programming in C/C++, Python, Matlab/Simulink, etc.
- Strong spoken and written English language skills
