ISEE AIPraha

Infrastructure Engineer, Autonomous Vehicles πŸ‡ΊπŸ‡Έ πŸ‡¨πŸ‡Ώ

Project-Based

Description

About ISEE AI ISEE AI is an MIT spin-off company building the physical artificial intelligence stack for autonomous industrial vehicle fleets . We are looking for engineers to push the frontier. ISEE AI is backed by Founders Fund , a top-tier VC fund. One of our customers is Maersk, the world's largest container shipping company. Read more about ISEE on our website or in this TechCrunch article . A large portion of our core research and engineering team is based in Prague, Czech Republic. The Role We are hiring Infrastructure Engineers to work at the intersection of software systems and real-world autonomous vehicle deployment. You'll work across the full infrastructure lifecycle β€” deg and building the systems that get our software onto vehicles, keep it running reliably, and make our engineering team faster. This is not a back-office role: the infrastructure you build directly enables autonomous vehicles operating in live industrial yards, under real-world constraints, on tight operational timelines. Depending on your background and interests, your work may span agentic infrastructure, DevOps and CI/CD pipelines, cloud systems, onboard compute management, or observability and data platforms. Role Responsibilities Design, develop, and maintain infrastructure software supporting our fleet of autonomous vehicles Build and operate CI/CD pipelines and deployment systems targeting both onboard vehicle computers and offboard cloud compute Develop and maintain build systems, dependency management tooling, and release workflows Architect and manage cloud infrastructure to support vehicle operations, data processing, and ML workloads Build observability, monitoring, and alerting systems to ensure fleet reliability and fast incident response Contribute to agentic infrastructure and automation that increases engineering leverage across the organization Manage onboard and offboard compute provisioning, configuration, and lifecycle Qualifications Degree in Computer Science

Skills

MLDevOpsMachine LearningCI/CDAIArtificial Intelligence

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