Staff Battery Algorithms and Controls Engineer

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.

• Design, develop, and validate various BMS control and state estimation algorithms including SOC, SOH, SOT, SOE, Power Prediction, and Fast Charge Controls.
• Develop battery models using electrical, data-driven, and physics-based modeling approaches.
• Document and maintain algorithm requirements & specifications.
• Validate algorithm function and performance through MIL/SIL/HIL testing.
• Develop high-quality firmware for battery management systems. Firmware will be enabled to support continuous improvements and optimizations for high-volume applications through over-the-air (OTA) updates.
• Collaborate with platform software, testing, and cloud analytics teams to implement and refine algorithms, and integrate feedback from field and lab data.
• Support battery pack and vehicle integration efforts.
• Support BMS hardware design and component selection.
• Lead troubleshooting and root cause analysis efforts to identify and resolve algorithm-related issues and implement corrective actions to improve system performance and reliability.
• Stay current with industry and research advancements in battery science, translating cutting-edge research into BMS functionality enhancements.

You'll have…

• Bachelor's degree in engineering, physics, or a related field.
• A minimum of 5 years developing BMS algorithms for automotive or mission-critical systems
• Strong knowledge of lithium-ion battery cell (LFP, NCA, and NMC) and pack design technologies.
• Experience developing control algorithms in embedded C.
• Experience modeling lithium-ion batteries with equivalent-circuit and physics-based methods.
• Proficiency in MATLAB/Simulink, Python, and similar tools for battery equivalent-circuit and physics-based modeling.
• Strong knowledge of battery cell testing techniques including GITT, HPPC, and EIS.
• Theoretical expertise in probability and statistics.
   

Even better, you may have…

• Solid theoretical foundation in adaptive filtering, digital signal processing, and control theory including classical, state-space, optimal, and digital controls.
• Hands-on experience in defining, formulating, and implementing machine learning problems for both offline and online BMS applications.
• Understanding of real-time systems and common microcontroller architectures & peripherals.
• Familiarity with common electronic components and comfort reading circuit design schematics & data sheets, contributing to BMS hardware design discussions.
• Strong knowledge of battery cell testing techniques including GITT, HPPC, and EIS. Experience using git or similar version control system.
• Familiarity with automotive safety standards (e.g. ISO26262) and how they apply to hardware and software.
• Ability to work independently on technical tasks, effective troubleshooting and problem-solving with minimal supervision.
• Strong written and verbal communication, and teamwork skills.
• A systems approach to design and development with the desire and curiosity to strive for exceptional delivery execution and continuous improvement.
• 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 of the above? No matter what you choose, we offer a work life that works for you, including:
• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, 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.

This position is a leadership level 6.
For more information on salary and benefits, click here: https://fordcareers.co/LL6SP3

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. 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.

Onsite work of up to three days per week may be required for candidates within commuting distance of a Ford hub location.  #LI-Hybrid   #LI-MZ1