MDX Diagnostics Engineer
Ford Motor Company
full-time
Posted on:
Location Type: Hybrid
Location: Naucalpan de Juárez • Mexico
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About the role
- Oversee Odyssey product structure and data throughout the program lifecycle.
- Upload MDX data and optimize qualifiers to ensure perfect vehicle-to-system mapping.
- Design and develop global diagnostic service functions for Dealers and Customers.
- Implement Module DIDs to support datalogger solutions.
- Monitor IVS to ensure MDX/Network topology availability and provide critical status updates for DSP and New Program Planning.
- Interpret and manage CAN data (ISO 14229 / UDS standards) to support application development, debugging, and system validation.
- Partner with module suppliers to ensure service functions are implemented correctly and meet all technical requirements.
- Validate solutions through both simulation and on-vehicle testing. Respond to field issues with urgency and document modifications using Rally.
Requirements
- Bachelor’s degree preferred, ideally in Computer Engineering, Electrical Engineering, Mechanical Engineering, or Mathematics.
- Proven experience interpreting CAN Data and a deep understanding of related standards such as ISO 14229 / UDS.
- Strong ability to manage complex data structures and troubleshoot network topologies (IVS/MDX).
- Background in application development support, debugging, and system validation (simulation and physical).
- A "challenger" attitude with the ability to work under pressure, respond to field issues urgently, and adapt to new program requirements.
Benefits
- Health insurance
- Flexible work arrangements
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
CAN data interpretationMDX data optimizationapplication development supportdebuggingsystem validationsimulationvehicle-to-system mappingModule DIDs implementationdatalogger solutionsnetwork topology troubleshooting
Soft skills
ability to work under pressureurgent response to field issuesadaptabilitychallenger attitudecomplex data management