Senior Devops Engineer

Description

Mentee Robotics, now part of Mobileye, brings world-class robotics expertise, together with Mobileye's decades of leadership in computer vision, machine learning, and autonomous driving technologies. Building on that foundation, Mentee by Mobileye is creating the "MenteeBot", the AI-first humanoid robot that combines perception, reasoning, learning, and advanced dexterous manipulation, designed to work alongside people in their everyday lives, at the workplace and in the home. At Mobileye, our technologies power more than 230 million vehicles worldwide and have helped shape the future of autonomous mobility. With teams around the world, we continue to innovate at the forefront of autonomous systems, advancing the next generation of Physical AI for real life.

Why Mentee Real ownership. You'll build the DevOps foundation from the ground up and set the practices the whole engineering team works by, not inherit and maintain someone else's playbook. See your impact fast. We're small enough that the systems you build are used across the company within days, not quarters. Innovation at the frontier. Work alongside researchers and engineers across ML, perception, control, and hardware, building infrastructure for complex challenges that require unique, first-principles engineering. Build for scale that matters. Robotics workloads (training, simulation, HPC) push infrastructure in ways typical web companies never hit. The technical depth here is real.

Responsibilities

• Architect and build GitOps-based CI/CD pipelines from the ground up, from code integration through testing to deployment
• Build and scale our cloud infrastructure as code with Terraform
• Build observability and deployment systems that span cloud, simulation, and the robot fleet
• Design systems for performance, scalability, and reliability as workloads grow
• Build automation in Python and Bash to engineer away manual, repetitive work
• Debug deep, novel infrastructure problems and design out their root causes for good
• Establish the DevOps standards and practices the whole engineering team builds on

Requirements

• 4+ years of DevOps experience building and scaling complex, large-scale production infrastructure
• Experience designing and building new infrastructure, not only operating what already exists
• Strong scripting skills in Python and/or Bash
• Deep working knowledge of Git and version control workflows
• Hands-on experience building CI/CD pipelines with GitHub Actions
• Strong Linux systems administration and hands-on debugging across systems, networks, and applications
• Advantages
• Centralized logging and observability platforms (e.g. ELK, Datadog)
• Familiarity with MLOps tooling and workflows
• Experience with robotics or related fields
• Working knowledge of Kubernetes and cloud-native tooling
• Experience managing HPC clusters (e.g. Slurm)