# ADAS Systems Engineer

**Company**: Ford Motor Company
**Location**: Dearborn
**Work arrangement**: hybrid
**Experience**: mid
**Job type**: full-time
**Salary**: $102,793.68 - $175,912.32/yr
**Category**: Engineering
**Industry**: Automotive
**Wikidata**: https://www.wikidata.org/wiki/Q44294

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## Description

At Ford Motor Company, we're seeking an ADAS Systems Engineer to join our Research and Advanced Engineering team. As an ADAS Systems Engineer, you will lead the development of feature engineering deliverables, including concept, logical, and technology requirements, boundary diagrams, design analysis, failure mode avoidance, robustness fields, and test procedures. You will work with hardware, software, and test teams to ensure feature requirements are cascaded, aligned, and accepted. Your responsibilities will include developing and refining vehicle-level use cases, interfaces, and feature-level specifications to ensure production feature delivery. You will establish feature objectives and ensure system operation meets end-user/customer objectives through a structured system-level test methodology. You will also work with functional safety engineers to develop and refine feature functional safety requirements, item definition, hazard analysis/risk assessment, and functional safety concept compliance with ISO-26262/Ford Functional Safety process. Additionally, you will ensure new features seamlessly integrate with existing features to provide a superb customer experience. You will work with virtual validation teams to establish CAE procedures to reduce dependence on vehicle-level testing. You will assure that the integration of affected systems meets the requirements for accurate feature-level performance. You will support the development of design validation methods to ensure feature robustness across all vehicle environmental conditions and customer usage. You will use data analysis techniques and methods from data generated by track, lab, and model-based validation methods to ensure features achieve a desired set of requirements. You will plan and help execute real-world evaluations of ADAS features via vehicle/HIL/virtual testing and identify system problems/issues. You will support and coordinate root-cause analysis with internal functions and external suppliers to ensure delivered systems achieve feature requirements. You will support sign-off of feature-level performance for first vehicle program implementation. You will gather quality history to manage and drive feature quality and improvements (i.e., data analytics/VOCF/launch feedback/warranty/external metrics such as JD Powers). Domestic travel is required up to 10%.

In this role, you will have the opportunity to work on a wide range of projects, from concept to production, and collaborate with cross-functional teams to deliver high-quality results. You will be responsible for designing, developing, and testing ADAS features, as well as ensuring compliance with regulatory requirements and industry standards. You will also have the opportunity to work on emerging technologies, such as autonomous driving and vehicle-to-everything (V2X) communication.

The ideal candidate will have a bachelor's degree in systems engineering, mechanical engineering, electrical engineering, automotive systems engineering, or a related field, and 3 years of experience in the job offered or a related occupation. You will have experience with system engineering, including design, analysis, and concept, logical, and technology-level requirement development of an automotive feature/system that functions are distributed across multiple ECUs. You will also have experience with performing design failure mode effects analysis, delivering a system (software, hardware, test, and systems) in collaboration with team members from different functional areas, developing software using Matlab Simulink and Stateflow, or hand coding (C++, C, Python, or Java), debugging embedded software and investigating issues in vehicle or on a HIL stand, recording and interpreting data from typical automotive vehicle interfaces (CAN, CANFD, and Auto-Ethernet), and analyzing large data sets from an embedded SW system for statistical analysis, identification of trends, or outlier behavior.

## Skills

### Required
- System engineering
- Design analysis
- Concept, logical, and technology-level requirement development
- Boundary diagrams
- Failure mode avoidance
- Robustness fields
- Test procedures
- Hardware, software, and test teams
- Feature requirements
- Vehicle-level use cases
- Interfaces
- Feature-level specifications
- Production feature delivery
- Functional safety engineers
- Feature functional safety requirements
- Item definition
- Hazard analysis/risk assessment
- Functional safety concept compliance
- ISO-26262/Ford Functional Safety process
- New features
- Existing features
- Customer experience
- Virtual validation teams
- CAE procedures
- Vehicle-level testing
- Integration of affected systems
- Feature-level performance
- Design validation methods
- Feature robustness
- Data analysis techniques
- Model-based validation methods
- Real-world evaluations
- System problems/issues
- Root-cause analysis
- Internal functions
- External suppliers
- Delivered systems
- Quality history
- Data analytics
- VOCF
- Launch feedback
- Warranty
- External metrics
- JD Powers

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