Ford Motor Company is seeking a Core Camera Systems Engineer to define, design, document, and develop core ADAS camera system elements, driving technical direction for camera system integration, functionality, and performance to enable advanced machine and human vision features.
Requirements
- Automotive Camera System Architecture Design
- Image Sensor Technology
- Optics Fundamentals
- Image Processing Pipelines
- Automotive Camera Integration (e.g., FPD-Link, GMSL, Ethernet)
- Requirements Engineering
- Modeling Tools, Magic Draw
Responsibilities
- Lead the definition, design, and evolution of the core ADAS camera system, creating requirements that produce robust and scalable hardware, software, and system designs.
- 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.
- Provide technical direction to engineering teams, ensuring regulatory compliance, performance targets (image quality, latency), and technical excellence.
- 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.
- 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.
- 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.
- 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.
Other
- Bachelor's degree in Electrical Engineering, Mechanical Engineering, or Computer Science and a minimum of 6 years of relevant engineering experience. OR a minimum of 10 years of equivalent engineering experience without the specified degree.
- Experience working effectively in dynamic, cross-functional environments, including collaboration with internal and external partners.
- Demonstrated ability to lead technical design reviews, discussions, and complex problem-solving sessions for ADAS systems.
- Strong communication skills (written and verbal) and effective collaboration abilities.
- Visa sponsorship is available for this position.
