- Location
- 26360 American Drive,48034,Southfield,US, United States of America
- Type
- Internship
- Department
- Engineering
- Seniority
- Internship
- Source
- Workday
Description
Job descriptions may display in multiple languages based on your language selection.
What we offer:
Group Summary:
Job Responsibilities:
ABOUT THE ROLE: As a Software Engineering Student at Magna Electronics, you will join a team of software professionals, implementing cutting edge technologies on both existing and new development products of Autonomous Driving.
YOUR RESPONSIBILITIES:
•
Perform all phases of the Software Development Life Cycle; design, code, test, integration, verification, and integration support, facilitated by an Agile software development workflow.
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Support scripting (Python/Batch) to automate the embedded development tasks and develop the tool documentation.
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Support the team to debug the real time ADAS safety critical application.
• Learn and become proficient with your skills in many different technical areas including object-oriented software development, real-time embedded development for multi-core and multi-processor systems, development for multiple operating systems (Linux, Windows). As well as cyber security/product protections, image/signal processing, image/data fusion, application development, and other development to support test and verification. WHO WE ARE LOOKING FOR:
• Bachelor’s or Master’s degree in computer or Electrical or Computer Science
•
Excellent academics (cumulative GPA greater than or equal to 3.0 as a general rule)
•
Knowledge of SW Development Lifecycle
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Software development experience in C/C++
• Fluent in English YOUR PREFERRED QUALIFICATIONS:
• Experience with Software integration and debugging techniques.
•
Knowledge of Scripting Languages preferred (Python/Bash scripting experience)
•
Familiarity and understanding of differences between relevant C/C++ standards (i.e., C++98; C++11; C++17, etc.)
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Experience with Software Continuous Integration (CI) toolchains/pipelines, Git/GitHub/ (configuration management, automated unit testing, static analysis, etc.).
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Knowledge of hardware bus interfaces, such as USB, UART, I2C and SPI
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Proficiency in use of basic electrical tools, i.e., oscilloscope, multimeter
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Demonstrated success in resolving technical challenges by leveraging strong problem-solving skills.
SPECIAL KNOWLEDGE / SKILLS:
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Proficient Computer knowledge and skills, Microsoft Office (Word, Excel, PowerPoint)
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Professional Communication skills (written and verbal)
PHYSICAL DEMANDS / WORK ENVIRONMENT:
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Normal amount of sitting or standing, average mobility to move around an office environment, able to conduct normal amount of work at a computer.
The statements included in this description are intended to reflect the general nature and level of work assigned to this classification and should not be interpreted as all-inclusive.
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.
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