Student - Engineering ADAS Algorithm at Magna International

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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

About the Role:

We are searching for a talented Software Engineering intern to contribute to our in-office Active Safety Integration Pre-development team in Lowell, MA. You'll be building the future of safe driving by crafting clever algorithms and software for Advanced Driver-Assistance Systems (ADAS). You will have the opportunity to tackle multidisciplinary challenges involving robotics and machine learning. You'll also design simulations to test and validate these algorithms.

Your Responsibilities

• Design and implement algorithms for one or more of the autonomy stacks towards L2/L2+ ADAS applications in C++/Python.
• Design and implement experiments to profile algorithm time/performance characteristics.
• Design and implement software tools to support testing and evaluation of the implemented algorithms.
• Build simulation environment for testing and synthetic data generation.
  
  

Who We Are Looking For

• Pursuing a bachelor’s or graduate degree in Computer Science, Robotics, Electronics and Computer Engineering or an equivalent field.
  
  

Your Preferred Qualifications

• Relevant research / project experience in one or more of the following areas: multi-object detection & tracking; environmental modeling; machine learning; mapping & localization; motion planning; controls
  
  

Special Knowledge / Skills

• Experience working with data from one or more sensors (radar, camera, lidar, ultrasonics, etc.)
• Experience with software development in C++, Python, MATLAB/Simulink, C
• Experience with robotics middleware (ROS, ROS2, etc.)
• Experience with modern software tools and design patterns.
• Professional Communication skills (written and verbal)
  
  

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.
  
  

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 or traditional mail to comply with GDPR requirements and your local Data Privacy Law.

Worker Type

Student / Co-Op

Group

Magna Electronics