Research Engineer

Ford • Dearborn, MI

6h

About The Position

The Sensing Technologies and Algorithms team is interdisciplinary team of experts tasked with conducting applied research in the domains of interior and exterior sensing systems, technologies, capabilities, architectures, and features. This role requires taking the lead in exploring new sensor hardware, performing data analysis, developing sensing algorithms, proposing test plans, evaluating sensor performance, delivering proof-of-concept demonstrations, and implementation readiness process. The ideal candidate will have expertise in the fundamentals of one or more sensing technologies as well as experience developing algorithms with data-driven evaluation techniques. The candidate will have a proven track record of developing and progressing a structured research portfolio to take sensing technologies from ideas to proven concepts and application readiness. Experience in developing new technology products using systems engineering concepts Grow and maintain expertise in sensing technologies, state-of-the-art camera hardware and software advancements, short range and long range wireless sensing and communication technologies Identify opportunities for reducing sensors using sensor fusion to improve quality and reduce costs using connected vehicle data Develop sensing solutions for interior sensing features such as Child Presence Detection, Driver State Monitoring, and Cabin Monitoring as well as exterior sensing features such as Proximity Detection, 360° surround view, and automated driving. Collaborate with cross functional teams including strategy and planning, application/product engineers, and advance engineering and others in defining data needs, validation of solutions against real-world application benchmarks, quality and robustness checks and continuous improvement. Through self-learning and deep research identify novel sensing solutions that can apply to new problem statements with atypical feature constraints. Publish internally and externally to support knowledge dissemination through teaching, mentoring, and seminars as well as through any Ford learning and development programs. Develop a research portfolio for progressing external research with leading universities.

Requirements

• Master of Science degree in Electrical Engineering, Computer Engineering, Computer Science, or Robotics
• 1+ years of experience in interdisciplinary engineering, focused on the development of sensing technologies through systems engineering methodologies and Sensor Fusion algorithms
• 2+ years of expertise in Python or C++ to build scalable solutions, utilizing GitHub for collaborative development and maintaining robust CI/CD workflows to ensure seamless code deployment
• 3+ years of demonstrated hands-on experience in short range and long-range wireless technologies or developing and implementing camera software and hardware solutions
• 1+ years of hands-on experience in developing signal processing, connected vehicle data analysis, or computer vision solutions
• 1+ years of product development and system integration

Nice To Haves

• PhD degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, Computer Science, or Robotics
• Experience with designing and testing internal sensor hardware and software components such as camera components or short range wireless sensing and communication technologies
• Experience with pairing sensors with embedded or low-power compute hardware such as SOCs or FPGAs
• Experience in AI/ML techniques for object detection and tracking, scene understating, multi-modal perception, and sensor fusion.
• Experience using PyTorch for developing AI/ML models, Machine Learning Workflows, GitHub Actions or Jenkins pipelines for CI/CD
• Excellent problem-solving skills, innovative thinking, and ability to identify, propose and lead new research projects that have a clear near or far value add.
• Passionate about staying abreast of large-scale challenges and disruptive changes in sensing technologies and their real time realizations for quickly establishing applicability to Ford engineering problems to create/contribute to the Ford's strategic and leadership vision.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees