Student - Engineering ADAS Algorithm
Student - Engineering ADAS Algorithm
Original Advert
Job descriptions may display in multiple languagesbased on your language selection.
What we offer:
Group Summary:
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 software development challenges in a multidisciplinary environment involving robotics and Machine Learning.
Your responsibilities:
- Develop software frameworks for L2/L2+ ADAS applications in C++/Python
- Create sensor drivers, communication protocols, and hardware interfaces for demonstration platforms
- Design experiments to profile algorithm performance
- Build tools for testing and evaluation
Who We are looking for:
- Pursuing a bachelor's or graduate degree in Computer Science, Robotics, Electronics and Computer Engineering or an equivalent field.
- Proficient in C++ and Python
- Proficient in working with pub/sub framework (ideally ROS2)
Preferred qualifications:
- Experience with sensors (radar, camera, lidar, ultrasonics)
- Knowledge of networking and communication protocols (UDP, TCP/IP, GMSL2, FPD Link)
- Relevant research / project experience in one or more of the following areas: sensor-fusion; machine learning; mapping & localization, motion-planning
Special Knowledge / Skills:
- GPU/CUDA programming with Nvidia devices
- 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.
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 to support decision-making.
If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.
Worker Type:
Group:
Application managed by Magna