Site Reliability Engineer

AI Engineering's ML-Platform team 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?

• We’re looking for a Site Reliability Engineer (SRE) to help design, build and operate the infrastructure behind machine learning development at Mobileye. You’ll work on large-scale, distributed Kubernetes clusters—both on-prem and in the cloud—alongside IT and cloud engineering teams. Your responsibilities include owning our infrastructure-as-code (IaC), ensuring high standards in reliability, monitoring, and observability, and supporting efficient ML workflows. This role is ideal for someone who enjoys solving complex infrastructure challenges and collaborating closely with research and algorithmic teams.
  
  

• Strong knowledge of Linux internals and system administration.
• Proficiency in scripting with Bash and coding in Python and/or Golang.
• Hands-on experience with Kubernetes and containerized environments.
• Experience with at least one major cloud provider (AWS, GCP, Azure, etc.).
• Familiarity with Infrastructure as Code tools (e.g., Terraform).
• Strong communication and organizational skills.
• Passion for building scalable and reliable systems.
• Technologist at heart - We as a team are always looking for the next thing
  
  

• Contributions to open-source projects.
• Experience with backend development & performance best practices.
• Passionate about solving problems, loves technology.