System Validation 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.

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.

Requirements:

• B.Sc. in Computer Science or Electrical Engineering from a top university (GPA 85+) or equivalent experience from a leading tech unit.
• 5+ years of experience as a System Validation Engineer.
• 5+ years of experience in software development (Python, C/C++).
• Experience working with Linux environments.
• Understanding of CI/CD pipelines and test automation frameworks.
• Strong analytical and debugging skills.
• Quick learner with a hands-on approach.
• Hard-working, committed, and self-reliant.
• Proactive mindset, with strong interpersonal and communication skills.
• Ability to work effectively in a team.
• Fluent English.

Responsibilities:

• 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.

Advantages:

• Experience with embedded systems, hardware accelerators, or edge AI applications.
• Experience in validating GenAI applications like LLMs and VLMs.
• Experience with Yocto build system for embedded Linux development.
• Experience with Docker for containerized application development and testing.

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.