PD Engineer, Intern

Ford Motor Company

. Automate sensor diagram generation in Microsoft Visio using VBA scripts, macros, and API integrations for Design Verification workflows .

Posted 10/5/2026part-timeNaucalpan de Juárez • MexicoEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

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Proficient in MATLAB® and Python programming for data analysis and automation, with experience in Microsoft Visio for diagram generation. Strong understanding of electrical circuits, sensors, and automotive calibration processes, complemented by effective communication and analytical skills.

Highest-signal resume keywords

MATLAB® ProgrammingPython ScriptingMicrosoft VisioRelational DatabasesAutomotive Calibration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

VBA ScriptingData ManipulationElectrical CircuitsSensor Wiring SchematicsSQLData ReductionBehavior AnalysisDiagnostic ValidationLEAN/Kaizen PrinciplesAutomated Diagram Drawing

Soft Skills

Analytical SkillsCommunication SkillsInitiativeSelf-Learning CapabilityEnthusiasm for Powertrain Systems

Tools & Technologies

ETAS INCACANapeATI VisionGitGitHub

Industry Keywords

OBD-II FundamentalsAutomotive Wiring Harness ArchitectureCAN/LIN Vehicle Network ProtocolsSensor Monitoring StrategiesDesign Verification

Tech Stack

Tools & technologies

PandasPythonSQLVBA

About the role

Key responsibilities & impact

Automate sensor diagram generation in Microsoft Visio using VBA scripts, macros, and API integrations for Design Verification workflows
Develop and maintain MATLAB® and Python tools to parse data, generate schematics, and validate sensor wiring and connector pinouts
Architect and populate a centralized relational database for sensor connector pinouts, families, electrical specifications, and ECU interface pin assignments
Support Powertrain Calibration and OBD Engineers with Design Verification test plans and sensor monitoring strategies
Process vehicle and laboratory test data using Python/MATLAB for automated data reduction, behavior analysis, and diagnostic validation reporting
Collaborate with calibration teams on OBD-II monitors and exhaust sensor functionality
Analyze engineering workflows and bottlenecks using LEAN/Kaizen continuous improvement principles
Prepare and maintain technical documentation, engineering guidelines, and standardized diagram templates

Requirements

What you’ll need

Active student in one of the last 2 semesters of Mechatronics, Electrical, Electronics, Automotive, Mechanical, Computer Engineering, Software Engineering, or a related engineering degree
90% English skills in oral communication, reading, writing, and listening
Proficiency in MATLAB® programming, including scripting, data handling, file I/O, and tool/GUI development
Microsoft Visio skills or Visio API experience, including VBA macros, stencil automation, or automated diagram drawing
Proficiency in Python scripting, data manipulation such as pandas, and automation scripts
Foundational understanding of electrical circuits and sensors, including wiring schematics, connector pinouts, and basic sensor signals
Strong analytical and communication skills, initiative, self-learning capability, and enthusiasm for powertrain systems and vehicle diagnostics
Knowledge of relational databases and SQL is desirable
Basic exposure to powertrain and OBD-II fundamentals is desirable
Familiarity with automotive calibration and diagnostic tools such as ETAS INCA, CANape, and ATI Vision is desirable
Familiarity with CAN/LIN vehicle network protocols is desirable
Basic understanding of automotive wiring harness architecture and physical connectors is desirable
Familiarity with Git/GitHub is desirable

Benefits

Comp & perks

No benefits or compensation extras specified.