Imaging Lead Engineer: Real-Time AI-Enhanced Imaging Leader

IQSIGHT; Eindhoven; On-site; EUR 110,000 - 150,000; Full time

Benefits offered by this job

27 holiday days + 13 ADV days

International working environment

Training for personal and professional

Job summary

IQSIGHT, headquartered in Eindhoven, Netherlands, seeks an experienced Imaging Lead Engineer to bridge optics, ISP, AI-based image enhancement, and real-time imaging. You will lead architectural design, integrate vendor SDKs, and mentor a team of imaging engineers across cross-functional projects.

The role combines system architecture, algorithm integration, and hands-on development, requiring collaboration with optics, silicon vendors, and product teams to deliver world-class imaging solutions.

Qualifications

• Master's or PhD in Electrical Engineering, Computer Engineering, Computer Science, Physics, or related field.
• 8+ years of experience in imaging systems, ISP development, image processing.
• Strong understanding of camera imaging pipelines, image quality tuning, and ISP architectures.
• Experience integrating image processing algorithms into embedded or real-time systems.
• Proficiency in Python and/or C/C++ for prototyping and algorithm development.
• Experience with technical leadership, architecture design, and mentoring engineering teams.
• Excellent problem-solving and debugging skills.

Responsibilities

• Characterize and evaluate ISP capabilities, limitations, and performance.
• Provide technical guidance on the architecture and evolution of the imaging software stack built on top of third‑party SDKs.
• Develop and maintain technical architecture documents, design specifications, and implementation guidelines.
• Develop rapid prototypes, scripts, test frameworks, and validation pipelines to assess new imaging concepts.
• Evaluate emerging imaging technologies and AI‑driven enhancements.
• Translate innovative concepts into practical engineering solutions.
• Lead the integration and customization of vendor‑provided camera SDKs and imaging frameworks.
• Drive low‑level software integration activities, including sensor bring‑up, ISP feature enablement, camera control loops, and performance optimization.
• Lead the integration of classical ISP algorithms, AI‑based image enhancement solutions, and post‑processing functions into a unified real‑time imaging pipeline.
• Identify and resolve complex image quality, system integration, and performance bottlenecks.
• Ensure scalability, reliability, and maintainability of imaging solutions.
• Conduct design reviews, architecture reviews, and code (PR) reviews.
• Support engineers through hands‑on troubleshooting, debugging, and pair programming.
• Drive software engineering best practices and technical quality standards.
• Mentor and coach imaging engineers to accelerate their technical growth.
• Organize technical workshops, training sessions, and knowledge‑sharing activities.
• Foster a culture of engineering excellence, innovation, and continuous learning.
• Serve as the technical link between optical module teams and imaging software teams.
• Align requirements, technical solutions, and development priorities across disciplines.
• Collaborate closely with product management, hardware teams, and system architects.
• Lead technical discussions with external suppliers and technology partners.
• Drive issue resolution, technical alignment, and successful integration of supplier technologies.
• Evaluate supplier roadmaps and technical capabilities.

Skills

Imaging systems

ISP development

Python

C/C++

Technical leadership

Debugging skills

Education

Master's or PhD in Electrical/Computer Engineering

Tools

CI/CD pipelines

Job description

IQSIGHT, headquartered in Eindhoven, Netherlands, seeks an experienced Imaging Lead Engineer to bridge optics, ISP, AI-based image enhancement, and real-time imaging. You will lead architectural design, integrate vendor SDKs, and mentor a team of imaging engineers across cross-functional projects.

The role combines system architecture, algorithm integration, and hands-on development, requiring collaboration with optics, silicon vendors, and product teams to deliver world-class imaging solutions.