Student - Engineering

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:
Position Overview

• Reliable cost-effective solution for the object detection and classification is an essential need to achieve the automated driving. This position involves design and development of machine learning algorithms for the object detection and classification utilizing the camera data.

Essential Duties and Responsibilities:

• Work closely with the mentors and develop machine learning algorithms for the object detection and classification utilizing camera data

• Support data collection utilizing development vehicles

• Design document development

• Support technical peer reviews

• Verify algorithms at component and bench level

Qualifications:

• Knowledge of developing machine learning models for object detection and classification

• Experience in applying machine learning approaches Deep Convolutional Neural networks is an added advantage

• Hands on experience with at least one of the following tools: Caffe, TensorFlow, Theano, or a similar deep learning toolkit is an added advantage

• Experience with image processing and computer vision

Education / Experience

• Bachelor's degree in Computer Engineering / Software Engineering / Electrical Engineering / Computer Science or equivalent(Master's preferred)

Special Knowledge / Skills:

• MathWorks based tools (MATLAB, Simulink)

• C/C++ and Python programing languages

• Linux operating system

Physical Demands / Work Environment:

• Normal amount of sitting or standing, average mobility to move around an office environment, able to conduct normal amount of work at a computer.

• Self-motivation, tenacity, and determination are very useful in this position

• Good communication skills

• "Can-do" mindset

• Well-organized, independent and ready to work with minimal supervision

• Have a Michigan or equivalent Driver's License

Health and Safety:

• Displays a positive attitude towards safety, works safely and follows all the Company's safety policies and procedures.
• (US) Complies with all Health, Safety and Environmental standards in accordance with the Magna Employee Charter, the Occupational Health & Safety Act, and the Michigan Occupational Health & Safety Act.
• (ONTARIO) Complies with all Health, Safety and Environmental standards in accordance with the Magna Employee Charter, and the Occupational Health & Safety Act.
• Ensures all employees and visitors have a safe environment in that safety and housekeeping standards are maintained; and all hazards, unsafe actions, or unsafe conditions have been identified, corrected, and/or eliminated.
• Responds to and investigates all reports of injuries, accidents, illnesses, near misses and property damage immediately.
• Takes an active part in the division's safety program by performing regular workplace inspections, effectively investigates accidents/incidents promptly and assists in meeting or exceeding the division's safety goals.

Awareness, Unity, Empowerment:
At Magna, we believe that a diverse workforce is critical to our success. That's why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.
Worker Type:
Student / Co-Op
Group:
Magna Electronics