Overview
On Site
Hybrid
Full Time
Skills
Training and development
Energy management
Manufacturing
Data Analysis
Test plans
Continuous improvement
Electrical engineering
Computer engineering
Computer science
Signal processing
Computer vision
Product development
System integration
Problem solving
Real-time
Research
Algorithms
Leadership
Sensors
Artificial intelligence
Machine Learning (ML)
Computer hardware
Demonstrations
Data
Evaluation
Art
Radar
Collaboration
Strategy
Planning
Teaching
Mentorship
Science
Robotics
Testing
Antennas
Embedded systems
Fusion
FAR
Value engineering
Job Details
Job Description
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 Research and Advanced Engineering team takes new ideas from theory to reality. Every day, we develop advanced energy management and propulsion technologies, create cutting-edge materials and manufacturing processes, and curate world-class cabin experiences that redefine what it means to drive a Ford.
In this position...
The Sensing Technologies and Algorithms team is central to Ford's vision of achieving industry wide leadership and is spearheading the process of discovery through a transformative adoption of sensors, algorithms, and AI-ML across all engineering functions within the Ford product landscape. The multidimensional team of experts is tasked with conducting applied research in the domains of interior and exterior sensing systems, technologies, capabilities, architectures, and features. To this end, the team is looking for highly qualified and motivated individuals who are willing to work on challenging, multi-functional problems requiring discovery and fundamental research for delivering transformative and disruptive technology.
What you'll do...
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.
Grow and maintain expertise in state-of-the-art camera, radar, Ultra-wideband (UWB), and/or lidar hardware advancements.
Identify opportunities for innovating automotive sensing suites to improve quality and reduce costs.
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 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 engage in 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.
You'll have...
Master of Science degree in Electrical Engineering, Computer Engineering, Computer Science, or Robotics or related field or equivalent experience
3+ years of demonstrated hands-on experience in developing and implementing camera, radar, Ultra-wideband (UWB), or lidar hardware
1+ years of hands-on experience in developing signal processing, data analysis, or computer vision solutions.
1+ years of product development and system integration.
Even better, you may have...
PhD degree in Electrical Engineering, Computer Engineering, Computer Science, Robotics or related field
5+ years of demonstrated hands-on experience in developing and implementing camera, radar, Ultra-wideband (UWB), or lidar hardware
2+ years of hands-on experience in developing signal processing, data analysis, or computer vision solutions.
2+ years of product development and system integration.
Experience with designing and testing internal sensor hardware components such as camera components or UWB antennas.
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.
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.
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.
For a detailed look at our benefits, click here:
Please see our Company Profile.
This position is a salary grade 8.
This position is a range of salary grades 7 & 8 .
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-.
#LI-Hybrid
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$desc3
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 Research and Advanced Engineering team takes new ideas from theory to reality. Every day, we develop advanced energy management and propulsion technologies, create cutting-edge materials and manufacturing processes, and curate world-class cabin experiences that redefine what it means to drive a Ford.
In this position...
The Sensing Technologies and Algorithms team is central to Ford's vision of achieving industry wide leadership and is spearheading the process of discovery through a transformative adoption of sensors, algorithms, and AI-ML across all engineering functions within the Ford product landscape. The multidimensional team of experts is tasked with conducting applied research in the domains of interior and exterior sensing systems, technologies, capabilities, architectures, and features. To this end, the team is looking for highly qualified and motivated individuals who are willing to work on challenging, multi-functional problems requiring discovery and fundamental research for delivering transformative and disruptive technology.
What you'll do...
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.
Grow and maintain expertise in state-of-the-art camera, radar, Ultra-wideband (UWB), and/or lidar hardware advancements.
Identify opportunities for innovating automotive sensing suites to improve quality and reduce costs.
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 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 engage in 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.
You'll have...
Master of Science degree in Electrical Engineering, Computer Engineering, Computer Science, or Robotics or related field or equivalent experience
3+ years of demonstrated hands-on experience in developing and implementing camera, radar, Ultra-wideband (UWB), or lidar hardware
1+ years of hands-on experience in developing signal processing, data analysis, or computer vision solutions.
1+ years of product development and system integration.
Even better, you may have...
PhD degree in Electrical Engineering, Computer Engineering, Computer Science, Robotics or related field
5+ years of demonstrated hands-on experience in developing and implementing camera, radar, Ultra-wideband (UWB), or lidar hardware
2+ years of hands-on experience in developing signal processing, data analysis, or computer vision solutions.
2+ years of product development and system integration.
Experience with designing and testing internal sensor hardware components such as camera components or UWB antennas.
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.
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.
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.
For a detailed look at our benefits, click here:
Please see our Company Profile.
This position is a salary grade 8.
This position is a range of salary grades 7 & 8 .
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-.
#LI-Hybrid
.
.
$desc3