Student Worker Program developing software and managing data for Ford's electric vehicle team. Gaining hands-on experience in real-world projects impacting electric vehicle energy efficiency and customer experience.
Responsibilities
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
Requirements
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
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.
Benefits
Immediate medical, dental, vision and prescription drug coverage
Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
Vehicle discount program for employees and family members and management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
Paid time off and the option to purchase additional vacation time.
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