Responsibilities

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What you'll do...

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•    You will learn how to create code and manage data that will directly impact the environment by improving electric vehicle energy efficiency
•    You’ll grow your expertise and analytical skills through collaboration with a global, cross-functional team, ownership of a well-defined project, and exposure to new technology and tools used to improve vehicles and customer experience.
•    Hands-on experience developing and deploying data-driven processes and toolsets to provide insights and guide engineering decisions
•    Multi-faceted first-hand experience working on next generation electric vehicle, from concept development, prototyping, to vehicle testing and calibration, encompassing both physical and virtual analysis and testing  

• Develop an automated test framework in Python to validate bootloaders across a network of ECUs, enabling reliable OTA (Over-the-Air) update functionality , a critical feature of advanced vehicle systems
• Implement automated testing of DIDs and UDS routines to ensure compliance and robustness of ECU communication and diagnostics
• Support bootloader validation activities including watchdog testing, recovery scenarios, Authenticity  and integrity verification.
• Contribute to the continuous improvement of bootloader validation workflows, integrating results into CI pipelines for system-wide regression testing
• Leverage strong knowledge of embedded C, bootloader architecture, and automotive communication protocols (CAN, UDS) to enhance software reliability and performance

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Qualifications

You'll have...

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•    Pursuit of a relevant Bachelor’s degree or master’s degree in computer science, Automotive / Mechanical Engineering or a related field  
•    A GPA of 3.0 on a 4.0 scale (or equivalent)  
•    Analytical and creative problem-solving skills
•    Team player who can work in fast-paced, and multi-disciplinary environment
•    Curiosity to ask “Whys” and motivation to investigate and explore
•    Must be able to work from the Irvine, CA or Dearborn, MI campus.  
•    Must be able to dedicate 6 MONTHS for this engagement  
•    Candidates must graduate and be available for full-time work prior to September 2025  

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Even better, you may have...

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•    Prior experience related to electric vehicles is a bonus
•    Experience developing cloud-based CI/CD pipelines and tools to perform regression analysis and create live dashboards
•    Experience in leveraging data to provide insights and drive engineering decisions

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