Feature System Engineer - Prognostics

In this position...

At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have an exciting opportunity for you to join our expanding area of Prognostics.

Are you passionate about leveraging modern day methodologies/tools to understand automotive systems, study and predict the degradation or occurrence of a problem in a vehicle component/system? Would you love to accelerate our efforts to build amazing experiences and software products in the Connected Vehicles space - with data?

We are seeking top-tier Systems Engineering professionals who are data driven, self-motivated and detail oriented to help develop and deliver breakthrough Prognostic Features.

At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have an exciting opportunity for you to join our expanding area of Prognostics. Are you passionate about leveraging modern day methodologies/tools to understand automotive systems, study and predict the degradation or occurrence of a problem in a vehicle component/system? Would you love to accelerate our efforts to build amazing experiences and software products in the Connected Vehicles space - with data? We are seeking top-tier Systems Engineering professionals who are data driven, self-motivated and detail oriented to help develop and deliver breakthrough Prognostic Features.

What you'll do...

• Lead the development of new Prognostics features at the systems engineering level from concept feature development to production. This includes defining requirements, designing architecture, implementing code, and conducting thorough testing.

• Collaborate with cross-functional teams to gather business requirements, translate them into tangible technical specifications, and drive feature development. This involves working closely with software engineers, data scientists, hardware engineers, and product managers.

• Evaluate potential design options to make appropriate proposals considering feature requirements, available technology, efficiency, and platform capabilities. This includes conducting feasibility studies, prototyping solutions, and analyzing performance metrics.

• Automate testing procedures and build comprehensive test suites to ensure the quality and reliability of Prognostic features. This includes designing test cases, developing automated test scripts, and analyzing test results to identify and resolve issues.

• Develop and author product-specific requirements, evaluating quality and aiding to triage issues to determine root cause. This involves working with development teams to ensure that the code meets the required specifications and to resolve any defects.

• Monitor Key Performance Indicators (KPI) dashboards, tracking metrics and providing critical feedback around customer experience. This includes identifying areas for improvement, proposing solutions, and working with the team to implement those solutions.

• Model the system from the data abstraction layer, simplifying complex systems by breaking them down into smaller, more manageable parts. This involves using modeling tools and techniques to represent the system's behavior and to facilitate communication and collaboration among team members.

What you'll do...

• Lead the development of new Prognostics features at the systems engineering level from concept feature development to production. This includes defining requirements, designing architecture, implementing code, and conducting thorough testing.

• Collaborate with cross-functional teams to gather business requirements, translate them into tangible technical specifications, and drive feature development. This involves working closely with software engineers, data scientists, hardware engineers, and product managers.

• Evaluate potential design options to make appropriate proposals considering feature requirements, available technology, efficiency, and platform capabilities. This includes conducting feasibility studies, prototyping solutions, and analyzing performance metrics.

• Automate testing procedures and build comprehensive test suites to ensure the quality and reliability of Prognostic features. This includes designing test cases, developing automated test scripts, and analyzing test results to identify and resolve issues.

• Develop and author product-specific requirements, evaluating quality and aiding to triage issues to determine root cause. This involves working with development teams to ensure that the code meets the required specifications and to resolve any defects.

• Monitor Key Performance Indicators (KPI) dashboards, tracking metrics and providing critical feedback around customer experience. This includes identifying areas for improvement, proposing solutions, and working with the team to implement those solutions.

• Model the system from the data abstraction layer, simplifying complex systems by breaking them down into smaller, more manageable parts. This involves using modeling tools and techniques to represent the system's behavior and to facilitate communication and collaboration among team members.