Image Quality Engineer

Hailo is a leading high-tech company, developing top-performing AI processors for edge devices in various industries. We combine an extensive understanding of the way neural networks operate, with our team’s expertise in SW and HW architecture, to develop products that transform the way we use machines to perceive and analyze the world around us.

Our company is led by a group of experts from a wide range of disciplines, combining experience from elite intelligence units as well as leading tech companies in Israel and abroad, with a track record of executing complex projects from the ground up. As an AI chip company, we believe that AI can help us create a better, safer, more productive, and more convenient world. For this to happen, AI needs to be available at scale and on the edge.

To this end, our team of hardware and software leaders is developing top-performing AI processors, dedicated to AI tasks on edge devices in a wide variety of applications and industries including smart cities, automotive, manufacturing, agriculture, retail, and many more. With hundreds of customer programs around the world, and a wide ecosystem of software and hardware partners, Hailo is leading the edge AI revolution.

In this position

We are seeking a highly motivated Image Quality Engineer to join our VPU system team. You will be responsible for evaluating and improving camera image quality across Hailo’s AI ISP and vision pipelines, with a strong focus on real-world customer scenarios. The role combines hands-on lab work with IQ measurement tools, together with close collaboration with our ISP, algorithm, and customer-facing teams to deliver excellent image quality from internal demos through customer evaluations and product integrations.

Requirements:

Bachelor’s or master’s degree in electrical engineering, Computer Science, Physics, or related field.
Experience with camera systems, image processing, or optics.
Hands-on experience with ISP tuning and image quality evaluation tools.
Strong analytical skills and attention to detail.
Ability to work independently in a lab environment and collaborate across teams.

Responsibilities:

Analyze image quality metrics (Sharpness, Noise, Color accuracy, Exposure, Dynamic range & Motion blur)
Collaborate with software and algorithm teams to tune image signal processing (ISP) parameters for optimal performance.
Provide image quality support for customer demos and evaluations, working directly with customers to resolve IQ issues.
Provide feedback and recommendations to improve camera performance across different lighting and scene conditions.
Document test procedures, results, and tuning iterations.
Operate and maintain IQ lab setups, including lighting environments, test charts, and measurement tools.

Advantages:

Familiarity with DXOMARK testing protocols or similar standards.
Experience with GStreamer, OpenCV, or similar image processing frameworks.
Knowledge of color science, sensor behavior, and optical systems.
Programming skills (Python, MATLAB, or C++) for automation and analysis.

We are passionate about building an inclusive and equitable working environment.

We promote a flexible work environment that encourages work-life balance.

If you don't meet 100% of the requirements– no worries!

Our DNA is characterized by openness to multi-disciplinary people, who bring great potential to grow with us, not just a skills set list. We encourage you to apply if you think this role would excite you about coming to work every day.