Sr. Engineer - Reliability

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This role is not eligible for visa sponsorship. Candidates must have current and ongoing authorization to work in the United States.

The Reliability Engineer will aid in the evaluation of products to establish their reliability. The Reliability Engineer assists in the determination of product reliability by coordinating testing plans, test procedures, equipment usage and calibration, and the data collection and analysis associated with tests. Additionally, the Reliability Engineer will assist in the root causing of failure modes identified in the reliability testing.

Your Responsibilities

Work with internal and external testing services to align on costs, testing flows, and timing for activities. Develop and debug testing equipment calibrations including the initialization of automotive ADAS products via differing methods of electronics communications (I2C, SPI, CAN, LIN, Ethernet, etc.). Utilize standard engineering problem solving methods to root cause failures identified in testing and develop internal standards and requirements based on the findings.

Additional Responsibilities:

• Manage and track the delivery of parts to and from testing locations.
• Utilize engineering statistics to define existing product performance and develop future targets.
• Understand and Decompose customer requirements for various automotive ADAS electronic modules.
• Support in the development lifecycle of core and application programs as needed.
• undefined

Who we are looking for

Education

• BS in Engineering, Computer Science, a related field, or sufficient relevant work experience

Experience

• 3 – 5 years relevant experience regarding the responsibilities listed above in automotive development projects.

Your preferred qualifications

• Experience in product development in any of the key engineering disciplines
• Experience with statistical tools such as minitab is preferred
• Experience in debug / communication tools for electronic devices (micros, imagers, serializers, etc.)
• Knowledge of structured problem solving methods (8D, Fishbone, 5-Why, etc.)
• Knowledge of CAN and LIN based tools such as CANoe, CANalyzer, neoVI, etc.
• Technical proficiency with the MS Office package particularly excel, powerpoint, and project.
• Strength in technical writing of system requirements

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.

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.

If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.