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
Hailo is looking to hire a motivated and skilled software engineer to join our Devops & SW Infrastructure team in Tel Aviv. As a member in the team, you will be responsible for design, implementation, integration and debug of Hailo’s large scale CI infrastructure and SW infrastructure.
Utilizing on-premise and cloud hosted resources in order to support the development of ever growing requirements of Hailo’s SW products.
If you are passionate about working on a large scale SW infrastructure, building tools and capabilities for debug, validation and deployment, and you are excited about AI, we want to meet you!
- Experience in Python
- Experience with SW development in a Linux environment
- Knowledge of CI/CD tools and processes
- Experience in Dockers
- Experience in AWS
- Experience in multi-OS environments.
- Knowledge in AI frameworks
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.