Engineer - Software Algorithm

Position: Engineer I - Software Algorithm
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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.

Group

Summary:

Transforming mobility. Making automotive technology that is smarter, cleaner, safer and lighter. That's what we're passionate about at Magna Electronics, and we do it by creating world-class Electronic systems. We are a premier supplier for the global automotive industry with full capabilities in design, development, testing and manufacturing of complex Electronic systems. Our name stands for quality, environmental consciousness, and safety.

Innovation is what drives us and we drive innovation. Dream big and create the future of mobility at Magna Electronics.

Job Responsibilities:

JOB SUMMARY

The Computer Vision Algorithm Engineer role focused on ADAS perception that turns camera video feeds (image frames) into a clear understanding of the vehicle's surroundings. The work spans concept through serial production: design and simulate algorithms, analyze and replay data, build and test classical and deep learning models, and optimize for real-time execution on production ECUs. Core tasks include object detection, segmentation, tracking, and image enhancement while meeting accuracy, latency, memory, and power targets.

A strong background in image processing, machine learning, and mathematics/physics is required, with familiarity in vehicle dynamics considered a plus.

ESSENTIAL JOB FUNCTIONS

* Develop (design, implement, optimize) conventional image processing algorithms for automotive embedded serial production projects.

* Design, develop/tune, and optimize deep learning models for ADAS computer vision features (e.g., pruning, quantization) and improve computational performance.

* Plan and execute experiments to assess deep learning model effectiveness, compare architectures, and validate results through rigorous component/bench testing.

* Strong knowledge of various camera models; lens distortion correction; homograph and projective transformations mathematical techniques

* Analyze large datasets to extract insights, refine models, and improve overall performance and robustness.

* Stay current with deep learning advances and incorporate innovative techniques and research findings into projects.

* Collaborate with multidisciplinary (requirements, embedded, testing) teams to integrate models into existing systems and ensure seamless operation within the product ecosystem.

* Document development processes, maintain detailed experiment logs, and present findings clearly to stakeholders.

* Analyze defects and test results; perform root-cause analysis and implement algorithm improvements to achieve KPIs.

* Independently deliver intermediate-to-advanced ADAS algorithm design, implementation, and testing.

* Perform other duties in support of business objectives; maintain regular attendance; follow safe work procedures and PPE requirements; report hazards, injuries, and illnesses promptly; comply with Quality Operating System (QOS) and all safety regulations.

JOB REQUIREMENTS

Education/Experience

* Master's degree in computer engineering, Software Engineering, Electrical Engineering, Computer Science, or equivalent.

* Minimum of 3 years of experience in computer vision and image‑processing algorithm development using traditional methods and deep learning, with proven expertise in developing and implementing DNN models.

* Excellent programming skills with C or C++; familiarity with Python with proficiency in deep learning frameworks (Tensor Flow, PyTorch, Keras) is advantageous.

* Strong grasp of machine learning concepts and neural network architectures (CNNs, RNNs, transformers).

* Experience in image segmentation, object detection, and image data preparation/enhancement (e.g.,…