ADAS Vision Systems Engineer

Are you a skilled and motivated engineer passionate about automotive camera systems Were seeking aCore Camera Systems Engineerto join our Advanced Driver-Assistance Systems (ADAS) team.

In this specialized role you will be instrumental in defining designing documenting and developing the core ADAS camera system elements. Youll work in close collaboration with our vehicle subsystem partners.

Leveraging your background in requirements management systems engineering ADAS software/hardware development and specific experience with camera sensors in complex vehicle architectures you will drive the technical direction for camera system integration functionality and performance.

This position demands a deep understanding of camera technology coupled with strong engineering abilities. You will guide technical discussions solve complex performance and integration problems and collaborate effectively across various internal teams and external partners.

If you thrive on the technical challenges of automotive camera systems enjoy leading initiatives and are looking to grow your career within ADAS this is a significant opportunity to shape the future of advanced camera systems that enable both machine vision and human vision features.

What youll do...

• Camera System Architecture:Lead the definition design and evolution of the core ADAS camera system creating requirements that produce robust and scalable hardware software and system designs.
• Advanced Technology Evaluation:Drive the research and evaluation of cutting-edge camera technologies (image sensors optics image processing pipelines SoCs) recommending strategic improvements and robustness actions to significantly enhance camera system capabilities for advanced vision-based features.
• Technical Direction: Provide technical direction to engineering teams ensuring regulatory compliance performance targets (image quality latency) and technical excellence.
• Ensure Cross-Functional Integration: Work closely with diverse internal teams (SW HW Validation Perception Fusion Planning etc.) and external partners to guarantee seamless integration alignment and robustness of ADAS camera system solutions.
• ADAS Strategic Alignment:Ensure the camera system architecture directly supports and aligns with critical ADAS strategic imperatives: Quality Program Delivery architecture evolution vision-reliant L0-L3 features AI/Data analysis needs and simulation capabilities.
• Cross-Sensor Standardization:Drive initiatives to align and standardize camera system strategies and processes with those of other ADAS sensors promoting consistency efficiency and robust system-level integration across the full sensor suite.
• Future Roadmap:Contribute to the long-term architectural roadmap for camera systems considering evolving vehicle architectures and their impact on requirements integration and robustness.
• Systems Modeling & Documentation:Champion the use of structured system modeling tools (SysML/UML e.g. Magic Draw) to accurately define document and analyze camera system architecture requirements and interfaces thereby improving clarity and process efficiency.
• Process Improvement:Champion and drive continuous improvement in requirements management systems engineering and architectural development processes specifically tailored for ADAS camera systems.
• Complex Problem Resolution & Continuous Improvement:Drive the resolution of complex technical issues impacting ADAS camera system architecture performance calibration and vehicle integration for both current and future programs. Leverage insights from these resolutions and lessons learned to inform the design of next-generation camera systems and prevent reoccurrence. Support the implementation and launch activities for current architectures.
• Diagnostic & Fault Management:Lead the definition and implementation of comprehensive diagnostic and fault handling strategies for the ADAS camera system ensuring effective failure detection reporting and management spanning hardware software interfaces and the overall system.

Youll have...

• Bachelors degree in Electrical Engineering Mechanical Engineering or Computer Scienceanda minimum of 6 years of relevant engineering experience.
• ORa minimum of 10 years of equivalent engineering experience without the specified degree.
• Knowledge of software hardware and systems development.
• Familiarity with overall vehicle Electrical/Electronic (E/E) architectures.
• Experience in roles such as automotive systems engineer vehicle architecture implementation or product launch within a sensor system development context.
• Experience working effectively in dynamic cross-functional environments including collaboration with internal and external partners.

Even better you may have...

• 5 years of direct experience within the ADAS domain.
• Knowledge of ADAS software hardware and systems development particularly in areas like camera perception computer vision or sensor fusion.
• Deep technical expertise in automotive camera systems including a solid understanding of image sensors optics image processing pipelines (ISP) camera interfaces and integration into vehicle Electrical/Electronic (E/E) architectures.
• Proven systems engineering experience with a strong focus on automotive camera systems or embedded vision.
• Demonstrated ability to lead technical design reviews discussions and complex problem-solving sessions for ADAS systems.
• Experience with automotive (SAE L0-L3) features that heavily rely on camera input.
• Understanding of Artificial Intelligence (AI) Machine Learning (ML) or Data Analysis techniques applied to camera data.
• Excellent problem-solving skills particularly for complex challenges related to advanced sensor system performance quality design and integration.
• Strong communication skills (written and verbal) and effective collaboration abilities.
• Experience mentoring junior technical team members (formal or informal).
• Proven drive to exceed quality metrics.

Technical Skills:Automotive Camera SystemArchitecture Design Image Sensor Technology Optics Fundamentals Image Processing Pipelines Automotive Camera Integration (e.g. FPD-Link GMSL Ethernet) Requirements Engineering Modeling Tools Magic Draw Problem Diagnosis & Resolution Technical Documentation Familiarity with E/E Architectures.

Professional & Leadership Skills:Team Collaboration Technical Leadership Cross-Functional Communication Stakeholder Management (including internal/external partners) Strategic Thinking Decision Making Mentoring Adaptability Planning & Organization.

You may not check every box or your experience may look a little different from what weve 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 builderor 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 Years Day

Paid time off and the option to purchase additional vacation time.

For more information on salary and benefits click here: position is a range of salary grades 6-8.

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.

Onsite work of up to three days per week may be required for candidates within commuting distance of a Ford hub location.

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