3+ years computer vision and image processing experience
C/c++ programming skills for embedded systems
The role focuses on transforming camera video feeds into clear understanding of the vehicle's surroundings for ADAS perception
Job Summary
The role focuses on transforming camera video feeds into clear understanding of the vehicle's surroundings for ADAS perception.
Candidates will design, develop, and optimize deep learning models including pruning and quantization for real-time execution on production ECUs.
Magna Electronics offers an engaging environment where employees can help develop industry-leading automotive technologies with varied responsibilities.
Matching Summary
The role focuses on transforming camera video feeds into clear understanding of the vehicle's surroundings for ADAS perception.
Skills & Requirements
Must-have
Master's degree in computer engineering or CS
3+ years computer vision and image processing experience
C/C++ programming skills for embedded systems
Deep learning model development with TensorFlow or PyTorch
Object detection, segmentation, and tracking expertise
Model optimization techniques like quantization and pruning
Nice-to-have
Familiarity with vehicle dynamics concepts
Experience with ASPICE or CMMI methodologies
Knowledge of automotive serial production processes
Strong root cause analysis and 8D problem solving
Ability to work independently in global teams
Key Requirements
Master's degree in Computer Engineering, Software Engineering, Electrical Engineering, or Computer Science
Minimum 3 years of experience in computer vision algorithm development
Proficiency in C/C++ and Python with deep learning frameworks
Experience optimizing AI/ML algorithms for embedded devices