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Ford Motor Company Engineering Supervisor - Vehicle Prognostics in Boston, Massachusetts

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 excited about leveraging modern day data science methodologies/tools to study and predict the degradation or occurrence of a problem in a vehicle component/system? Are you passionate about leading a team and helping engineers grow in their career?

We are seeking an experienced and dynamic individual to lead our Vehicle Prognostics research engineering team. In this role you will be responsible for overseeing a team of talented engineers dedicated to develop advanced prognostics features leveraging cutting edge ML/AI technologies.

At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow’s transportation.

What you will be able to do?

  • Lead and mentor a team of prognostics research engineers providing guidance and support in their daily activities. Initiate open and candid coaching conversations at all levels.

  • Implement strategies for developing vehicle system/component health monitors to minimize downtime by modelling their degradation.

  • Collaborate cross-functionally with core engineering, platform systems, customer service division, systems engineering, digital product to integrate prognostics features into our customer experience.

  • Provide technical leadership to the team through all phases of prognostics feature development to ensure robust program execution and performance.

  • Help drive concept testing, small & large scale data collection, verification and validation tests including but not limited to bench tests, lab tests, proving ground tests and in vehicle dynamic tests.

  • Stay ahead of industry trends and emerging technologies in prognostics, predictive maintenance and advanced computational methods ensuring the team remains at the forefront of innovation.

Minimum Requirements

  • Master's in Mechanical, Electrical, Computer Science, Computer engineering, Physics, Mathematics or related fields or a combination of education and equivalent experience.

  • Self-motivated with excellent verbal and written skills. Highly credible in organizational, time management, decision making and problem-solving skills.

  • Experience in developing new features/products from Concept readiness to Application readiness to program launch.

  • Strong knowledge of statistical methods, physics and engineering principles.

  • Working knowledge of automotive communication networks (CAN, LIN, Ethernet, etc.).

  • Experience in open-source data science technologies such as Python, R, Spark, Hadoop, etc. acquired through college course work, online training and certification or project development.

  • Experience dealing with vehicle data collection software.

Our preferred requirements

  • PhD in Mechanical, Electrical, Computer Science, Computer engineering, Physics, Mathematics or related fields or a combination of education and equivalent experience.

  • Experience in leading advanced engineering teams delivering measurable impacts.

  • Familiarity working with Automotive prognostics feature development using connected vehicle data.

  • Expertise in application of statistical and machine learning methods e.g., ANOVA, PCA, clustering methods, causal inference, time series forecasting, random forest, multi-variate analysis, neural networks, etc.

  • Expertise in open-source data science technologies such as Python, R, Spark, Hadoop, etc.

  • Experience in software development for automotive controls with hands on experience using MATLAB for post processing large scale data and understanding of programming fundamentals and experience with C++ programming in embedded environments. ATI and ETAS calibration tool familiarity

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all the above? No matter what you choose, we offer a work life that works for you, including:

  • Immediate medical, dental, and prescription drug coverage

  • Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up childcare 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.

For a detailed look at our benefits, click here:

https://corporate.ford.com/content/dam/corporate/us/en-us/documents/careers/2023-benefits-and-comp-LL6-sal-plan-2.pdf

Visa sponsorship is available for this position.

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

Requisition ID : 21706

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