Job DescriptionFord's Advanced Driver Assistance Systems (ADAS) team designs and develops hardware and functional models that provide Best-in-Class behavior for features like Adaptive Cruise Control, Automatic Emergency Braking, Cross Traffic Alert, Lane Centering Assist, BlueCruise, and 360 Camera Systems. We are seeking seasoned professionals who can contribute to our efforts with experience in the development of sensors, ECUs, models, and software. This position focuses on leading and supporting the engineering development for our BlueCruise features.
ResponsibilitiesWhat you'll do...
- Develop and mature system and subsystem level design, interfaces, and specifications to ensure production feature delivery across the entire range of Ford Motor Company vehicle offerings, across the globe.
- Lead the development and refinement of In-Vehicle Software and their respective Implementation Requirements for the BlueCruise feature set.
- Support development and refinement of use cases and functional level requirements & targets for our next-generation BlueCruise features.
- Contribute towards upgrades and enhancements to our BlueCruise features, by working closely with feature owners with modeling changes, regression testing, test vector support, data review, issue identification and supplier interaction.
- Support replay and bench testing of algorithms to assess & improve performance of BlueCruise features, while conducting failure mode avoidance assessments.
- Support feature model delivery to meet software delivery & program timing.
- Support development and refinement of functional safety requirements, item definition, hazard analysis & risk assessment, and functional safety concept in compliance with ISO-26262 / Ford Functional Safety process for BlueCruise features.
- Ensure system design, functional safety, and other deliverables allow for seamless integration with existing features and provide a thrilling user experience.
- Manage feature / functional development timing by suppliers.
- Support the development and refinement of design validation methods for ensuring proper feature-level performance across a variety of environmental and cross-carline noise factors.
- Support sign-off of feature level performance, particularly first vehicle line application.
- Support the development of data analysis techniques and methods from data generated by both track and real-world validation methods to ensure feature achieves the desired specifications.
- Closely coordinate with product, business and other engineering teams to develop new capabilities on top of the existing set of BlueCruise features.
- Support the planning and execution of real-world evaluations to identify system problems and issues.
- Utilize AI tools and Agents for evaluation, developments and design process, while checking the results from an AI Tool.
QualificationsYou'll have...
- Bachelor's Degree in Electrical, Computer, or Software Engineering, or related field
- 2+ year MATLAB/Simulink modeling experience in a professional or educational setting, in any combination.
Even better, you may have...
- Master's degree in Electrical, Mechanical, Aerospace, Controls, Computer, or Software Engineering.
- 4+ year MATLAB/Simulink modeling experience in a professional or educational setting, in any combination.
- Experience with ANY of the following areas: Adaptive Cruise Control, Blind Spot Systems, Lane Keeping, Lane Centering Systems or similar ADAS features.
- Experience with computer vision & radar tracking of humans, vehicles, static roadway obstacles or other typical road objects.
- Experience with computer vision detection & tracking of signs, lights, lanes and other key artifacts.
- Understanding of embedded hardware and software design.
- Experience reviewing, categorizing, and analyzing field data to determine error states / failure modes.
- Experience developing, conducting, observing, and reporting on statistically relevant experimentation / verification methods across the global population.
- Experience with model-based design methods in Simulink for creation/development and enhancement of current / new features.
- Understanding of Kalman filtering, vehicle dynamics, linear & nonlinear control methods.
- Software engineering & algorithm development experience in any language (C, C++, Python, MATLAB, etc.)
- Developing and conducting laboratory and vehicle tests, data collection, and analysis.
- Prior use of ML model or tools and ability to utilize AI/ML tools in development cycles.
- Ability to lead a small project and demonstrate ownership and showing initiatives to improve existing processes.
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 salary grade 7 - 8 and ranges from $99,000 - $170,000.
Visa sponsorship is available for this position.
This position is hybrid (onsite four days per week) for candidates who are in commuting distance to a Ford hub location or remote for non-local candidates.
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