System Validation Engineer - Runtime

Description:

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.

About this position

We are looking for an experienced System Validation Engineer to join our Runtime Validation Team at Hailo.

In this role, you will be responsible for validating runtime stack components for classic and generative AI applications, ensuring their reliability, performance, and robustness.

Your work will have a direct impact on Hailo's products, shaping the quality and stability of AI-driven solutions used in real-world applications.

• Design, develop, and execute validation test plans for runtime stack components, neural core firmware, and drivers, while accompanying them throughout the entire feature life cycle, from design and integration through automation and release, ensuring ongoing support and adaptation of tests as the product evolves.
• Develop automation frameworks and testing tools in Python and C++.
• Analyse test results, debug issues, and work closely with software and hardware teams to drive resolution.
• Ensure continuous integration (CI) pipelines maintain high test coverage and efficiency.
• Optimize validation strategies for classic and generative AI workloads.