Headway Features Feature Owner & Modeling Engineer
Auto Req ID:
31005BR
Job Title:
Headway Features Feature Owner & Modeling Engineer
Location:
Dearborn
State:
MI
Company:
Ford Motor Company
Job Description
We bring engineering ideas to life. In Product Development, we make driving more exciting, enjoyable and sustainable. Ford’s Safety Electronics 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, Active Park Assist 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 lead engineering for our Driver Alert feature and support of other Headway Features.
Responsibilities:
The distance between imagination and … creation. It can be measured in years of innovation, or in moments of brilliance. When you join the Ford team discover all the benefits, rewards and development opportunities you’d expect from a diverse global leader. You’ll become part of a team that is already leading the way, with ingenious solutions and attainable products – and it is always ready to go further.
Visa sponsorship may be available for this position.
Ford Motor Company is 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.
We bring engineering ideas to life. In Product Development, we make driving more exciting, enjoyable and sustainable. Ford’s Safety Electronics 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, Active Park Assist 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 lead engineering for our Driver Alert feature and support of other Headway Features.
Responsibilities:
- Responsible for feature ownership within Ford Motor Company, including:
- Develop and refine use cases and functional level requirements & targets for Driver Alert 2.0
- Maintain Driver Alert 1.0 and Distance Indication / Distance Alert 1.0 features
- Support Lane Center Assist feature owner 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 Headway features.
- Ensure the feature models are properly delivered to meet software delivery & program timing.
- Develop and refine functional safety requirements, item definition, hazard analysis & risk assessment, and functional safety concept in compliance with ISO-26262 / Ford Functional Safety process for Driver Alert 2.0.
- Develop system and subsystem level design, interfaces, and specifications to ensure production feature delivery across the entire range of Ford Motor Company vehicle offerings.
- 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 the supplier.
- 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, in particular first vehicle line application.
- Develop 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 feature development engineers to support execution of design verification plans to ensure proper feature-level performance.
- Plan and execute real-world evaluations to identify system problems and issues.
- Support and coordinate root-cause analysis with internal and external suppliers to ensure delivered system thrills our customers with the user experience.
- Integrate and configure models & other software packages with a variety of production and other in situ hardware to enable pre-production feature-level verification.
- Bachelor’s Degree in Electrical, Mechanical, Aerospace, Controls, Computer or Software Engineering
- 1 year MATLAB/Simulink modelling experience in a professional setting.
- Experience with computer vision & tracking of humans or pedestrians, specifically eye & head tracking.
- 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. Any development time in any language (C, C++, Python, Matlab, etc.)
- Developing and conducting laboratory and vehicle tests. Data collection and analysis
The distance between imagination and … creation. It can be measured in years of innovation, or in moments of brilliance. When you join the Ford team discover all the benefits, rewards and development opportunities you’d expect from a diverse global leader. You’ll become part of a team that is already leading the way, with ingenious solutions and attainable products – and it is always ready to go further.
Visa sponsorship may be available for this position.
Ford Motor Company is 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.