The position
AI Engineering goal is to deliver a modern infrastructure and solutions to enhance Mobileye's Algorithm development life cycle and shorten our delivery
times.We
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
products.We
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 flow
Review 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 environment
Experienced with Agile & DevOps methodologies
Advantage:
Familiar with Public cloud, like: AWS or GCP
Care about developer experience, and think about the end user experience
Collaborated to open-source projects
Technologist at heart – We are a team always looking for the next thing
Familiar with Infra-as-Code tools, like: Terraform, Ansible
Good understand of Linux internals
Experience developing and optimizing ML workflows
Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!