Software QA Validation

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. 

In this position 

Hailo is seeking a dedicated manual tester/integrator to join our team and contribute to the advancement of our next-generation imaging processors. In this role, you will tackle various challenges in our imaging and vision lab, including enhancing image quality, executing new algorithms, and integrating sensors. 

Your work will have a direct impact on the future of our vision products and support Hailo's mission to become a leading SoC provider for cameras. If you are passionate about vision technology, have experience with imaging, sensor calibration, tuning, and are proficient with Linux, automation, and QA, we would love to meet you! 

• Manual Testing: Execute manual tests, including taking camera shots and analyzing the results. 
• Test Plan Execution: Follow detailed test plan procedures to ensure comprehensive validation. 
• Camera Calibration: Perform calibration of cameras to ensure optimal performance. 
• Image Quality Validation: Validate the image quality produced by the camera chips. 
• Documentation: Document test results and provide detailed reports on findings. 
• Collaboration: Work closely with the various R&D teams to improve product quality and performance, ensuring continuous improvement in imaging performance and alignment with industry standards. 
• System Setup and Maintenance: Manage the various setups and maintenance of Linux-based imaging systems and a variety of different types of cameras, including system configuration, troubleshooting, and updates to maintain high performance and stability.