Key Skills

Job Description

Company Description IQSIGHT is a global leader in intelligence‑first video security and visual intelligence solutions, originating from Bosch Video Systems and backed by more than 60 years of engineering expertise. IQSIGHT develops AI‑enabled cameras, edge‑ and cloud‑based analytics, and secure connectivity that empower organizations to see clearly, understand context in real time, and act with confidence. With more than 600 patents and a broad portfolio of NDAA‑ and TAA‑compliant systems, IQSIGHT transforms video into actionable intelligence, enabling proactive decision‑making across industries such as critical infrastructure, transportation, education, government, and smart cities. Headquartered in Eindhoven, the Netherlands, IQSIGHT is committed to reliable performance, cyber‑resilient design, and continuous innovation—delivering visual intelligence for a world uninterrupted. IQSIGHT is part of the Keenfinity Group. Following its carve‑out from the Bosch Group in 2025, Keenfinity operates as an independent company within the portfolio of European investment firm Triton. The Group comprises four business units: Audio (Bosch, Electro‑Voice, Dynacord, RTS, Telex), IQSIGHT Video Systems, Radionix Intrusion & Access, and Keenfinity Electronics Manufacturing Services (EMS). Job Description We are looking for an experienced Imaging Lead Engineer to provide technical leadership and hands-on engineering contributions across the complete imaging pipeline. You will play a key role in bridging optics, ISP, AI-based image enhancement, and image quality optimization, ensuring the delivery of world-class imaging solutions. This position combines system architecture, algorithm integration, technical coaching, and cross-functional collaboration. You will work closely with imaging engineers, optical module teams, silicon vendors, and external suppliers to bring innovative imaging technologies into production. Key Responsibilities System Architecture & Design 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. Drive technical decision-making for imaging system development. Prototyping & Innovation 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. Integration & Performance Optimization 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. Technical Reviews & Engineering Excellence 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. Coaching & Technical Leadership 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. Cross-Functional Collaboration 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. Supplier & Partner Management 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. Qualifications Master's or PhD degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a 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. Preferred Experience with AI/ML-based image enhancement techniques. Knowledge of camera sensors, optics, and optical characterization. Familiarity with CI/CD pipelines and DevOps practices for embedded systems. Experience working with external technology suppliers and partners. Additional Information We offer a competitive package to the right candidate, which includes: Competitive salary based on your skills and experiences Competitive bonus scheme 27 holiday days + 13 ADV days Unique opportunity to work for an international company with the newest technology Plenty of training for personal and professional development Flexible work hours A key role in the development of products that contribute to safety worldwide Leading an enthusiastic and knowledgeable team with a high level of technical expertise An international working environment with room for innovation and initiative

Core Responsibilities

Lead the architecture, integration, and optimization of the imaging software stack, combining camera SDKs, sensor and ISP features, classical image processing, and AI-based enhancements into a reliable real-time pipeline. Provide hands-on technical guidance, reviews, mentoring, and cross-functional coordination with optical, hardware, product, and supplier teams.

Requirements

Requires a master's or PhD degree in electrical engineering, computer engineering, computer science, physics, or a related field, along with 8+ years of experience in imaging systems, ISP development, or image processing. Candidates should have strong camera pipeline and image-quality expertise, embedded or real-time algorithm integration experience, Python and/or C/C++ proficiency, and technical leadership and mentoring experience.

Benefits

• Competitive Salary
• Competitive Bonus Scheme
• 27 Holiday Days
• 13 ADV Days
• Training And Professional Development
• Flexible Work Hours
• International Working Environment
• Opportunity To Work With New Technology