Dealer Service Quality Engineer

In this position…

We are looking for a Software Quality Engineer to be a part of the CVSQ Spend and Service team. This team provides Product Development level of support to our Service Engineering Operations base by developing quick turnaround solutions to our most complex software designs which targets getting our customer's vehicles back on the road and identifying/addressing the affected population as quick as possible in addition to developing preventative actions to reduce future risk to warranty, customer satisfaction.

In the Connected Vehicle Software Quality (CVSQ) organization, we aspire to navigate Ford Motor Company through the disruptiveness of the information age, harnessing the power of data and artificial intelligence to realize the enterprise's known goals, reveal hidden opportunities, and achieve data superiority.

The Spend and Service Quality team under CVSQ is looking for a CVS Software Quality engineer who has experience interpreting, diagnosing, and prioritizing software related issues in our suite of in vehicle ECUs and finding near term (ICAs), long term (PCA) and preventative (PRA) solutions.  Program management will be key to enforce quick turn around on these solutions.

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we're all a part of something bigger than ourselves. Are you ready to change the way the world moves? Ford's Electric Vehicles, Digital and Design (EVDD) team is charged with delivering the company's vision of a fully electric transportation future. EVDD is customer-obsessed, entrepreneurial, and data-driven and is dedicated to delivering industry-leading customer experience for electric vehicle buyers and owners. You'll join an agile team of doers pioneering our EV future by working collaboratively, staying focused on only what matters, and delivering excellence day in and day out. Join us to make positive change by helping build a better world where every person is free to move and pursue their dreams.

What you'll do…

Responsibilities include working to deliver solutions for service within the CVS organization on software programmable ECUs.  The intent is to quickly resolve service-related concerns around vehicle ECU Software and Hardware, within our core commodities (Vehicle Controls, In-Vehicle Entertainment, Connectivity, and ADAS). Software Engineer must be able to understand FCSD Diagnostics, Service tools, how to perform initial triage on ECU Software related concerns, and the basic architectural aspects of how our ECU components are put together (both software and hardware). This Quality engineer must be able to manage all issues in this space and escalate when required for quick turnaround. This work effort may drive development and delivery of analytic and statistical models using skills such as data acquisition and management, algorithm design, and model development & refinement.

This Quality Engineer must work with their quality and engineering partners using a collaborative, agile approach to develop solutions rapidly that add value and are centered around the user experience.  At times, this team member must act as data analyst and analytics engineer to develop mathematical, analytical, optimization and/or AI/ML models to support evidence-based decision making. Ensure overall quality of the data & solutions throughout the analytic development process and support deploying them as end-to-end products on Google Cloud Platform.

This Quality engineer will support the Management Lease Vehicle (MLV) data mining efforts for ADAS and Vehicle Controls and will include the following:

• Monitoring MLV Bugs reports for anomalies that can harm stability of our vehicle software in the field.

• Identifying and tracking new issues that should be investigated for design improvements.

• Managing open issues that improve data quality within our fleet

• Lead/support investigations that would help expedite root cause

• Escalating aging issues to management of more than 30 days.

What you'll do…

Responsibilities include working to deliver solutions for service within the CVS organization on software programmable ECUs.  The intent is to quickly resolve service-related concerns around vehicle ECU Software and Hardware, within our core commodities (Vehicle Controls, In-Vehicle Entertainment, Connectivity, and ADAS). Software Engineer must be able to understand FCSD Diagnostics, Service tools, how to perform initial triage on ECU Software related concerns, and the basic architectural aspects of how our ECU components are put together (both software and hardware). This Quality engineer must be able to manage all issues in this space and escalate when required for quick turnaround. This work effort may drive development and delivery of analytic and statistical models using skills such as data acquisition and management, algorithm design, and model development & refinement.

This Quality Engineer must work with their quality and engineering partners using a collaborative, agile approach to develop solutions rapidly that add value and are centered around the user experience.  At times, this team member must act as data analyst and analytics engineer to develop mathematical, analytical, optimization and/or AI/ML models to support evidence-based decision making. Ensure overall quality of the data & solutions throughout the analytic development process and support deploying them as end-to-end products on Google Cloud Platform.

This Quality engineer will support the Management Lease Vehicle (MLV) data mining efforts for ADAS and Vehicle Controls and will include the following:

• Monitoring MLV Bugs reports for anomalies that can harm stability of our vehicle software in the field.

• Identifying and tracking new issues that should be investigated for design improvements.

• Managing open issues that improve data quality within our fleet

• Lead/support investigations that would help expedite root cause

• Escalating aging issues to management of more than 30 days.