Student - Engineering Software

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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 Robotics Engineering intern to contribute to our Tech Strategy 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:

• Develop algorithms for L2/L2+ ADAS modules in C++/Python
• Curate data and train/deploy deep neural networks for perception and planning
• Create experiments to profile algorithm performance
• Develop tools for testing and evaluation
• Build simulation environments for testing and synthetic data generation

Who We are looking for:

• Pursuing a Bachelor's or graduate degree in Computer Science, Robotics, Computer Engineering or an equivalent field.
• Relevant research / project experience in one or more of the following areas: Simulation, multi-object tracking; sensor fusion; machine learning; mapping & localization; motion planning; controls

Preferred qualifications:

• Experience with software development in C++, Python (using OOP concepts)
• Experience working with data from one or more sensors (radar, camera, lidar, ultrasonics, etc.)

Special Knowledge / Skills:

• Experience with robotics middleware (ROS, ROS2, etc.)
• Experience with modern software tools and design patterns

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.
• In-person at Magna - Lowell, MA
• Duration 6 months

Pay Scale:

First Year - $27.00

Second Year - $30.00

Third year - $32.00

Fourth year - $34.00

Masters - $36.00

PHD - $38.00

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.

AI-Assisted Screening Disclosure

As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.

Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used