Adas Vision Systems Engineer

Ford Ford · Auto · Dearborn, MI +1 · PD Operations and Quality

This role focuses on engineering the core ADAS camera system architecture, including requirements definition, design, and integration. It involves evaluating new camera technologies and ensuring the system supports AI/Data analysis needs for advanced driver-assistance features.

What you'd actually do

  1. Lead the definition, design, and evolution of the core ADAS camera system, creating requirements that produce robust and scalable hardware, software, and system designs.
  2. Drive the research and evaluation of cutting‑ing camera technologies (image sensors, optics, image processing pipelines, SoCs), recommending strategic improvements and robustness actions to significantly enhance camera system capabilities for advanced camera‑based features.
  3. Provide technical direction to engineering teams, ensuring regulatory compliance, performance targets (image quality, latency), and technical excellence.
  4. Work closely with diverse internal teams (SW, HW, Validation, Perception, Fusion, Planning, Infotainment, etc.) and external partners to guarantee seamless integration, alignment, and robustness of ADAS camera system solutions.
  5. Ensure the camera system architecture directly supports and aligns with critical ADAS strategic imperatives: Quality, Program Delivery, architecture evolution, camera-based features, AI/Data analysis needs, and simulation capabilities.

Skills

Required

  • 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.
  • 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.

Nice to have

  • 5+ years of direct experience within the ADAS domain.
  • Knowledge of ADAS software, hardware, and systems development, particularly in areas like camera image processing pipelines, camera perception, or sensor fusion.
  • Deep technical expertise in automotive camera systems, including a solid understanding of image sensors, optics, image signal processing (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 systems.
  • Demonstrated ability to lead technical design reviews, discussions, and complex problem‑solving sessions for ADAS systems.
  • Experience with automotive ADAS (SAE L0‑L3) features that heavily rely on camera input.
  • 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.

What the JD emphasized

  • camera systems
  • camera technology
  • camera system integration
  • camera-based features
  • camera system architecture
  • camera system capabilities
  • camera system solutions
  • camera input

Other signals

  • ADAS camera systems
  • machine vision
  • AI/Data analysis needs