AI Engineering goal is to deliver a modern infrastructure and solutions to enhance Mobileye's Algorithm development life cycle and shorten our delivery are an independent group, consisting of excellent and experienced engineers with diverse skills in algorithms, software, and infrastructure. We strive to implement a DevOps culture allowing our engineers to easily collaborate on large-scale develop cross-company products that enable the research and deployment of state-of-the-art algorithms.What will your job look like?Develop and maintain the platform driving ML development at Mobileye.Work on distributed compute platforms, both on-premises and in the cloud, used for training.Implement services that track the ML lifecycle.Optimize ML workloads for better efficiency and performance.Collaborate closely with algorithm development teams to address and resolve real-world issues.
All you need is:BSc. in Computer Science- must At least 2 years Experienced in coding using Go (or Python)Write tests as part of the normal development flowReview code developed by other developers and provide feedback to ensure best practices (style, checking code in, accuracy, testability, readability, and efficiency)Experienced with containers and previously worked in a Kubernetes environmentExperienced with Agile & DevOps methodologies 
Advantage:Familiar with Public cloud, like: AWS or GCPCare about developer experience, and think about the end user experienceCollaborated to open-source projectsTechnologist at heart - We are a team always looking for the next thingFamiliar with Infra-as-Code tools, like: Terraform, AnsibleGood understand of Linux internalsExperience developing and optimizing ML workflows