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ARX Robotics

Autonomous modular UGS with AI software

AI Operations Engineer

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeMunich, Germany

About the Job

Requirements

  • Several years of experience in MLOps, DevOps, platform engineering, or a comparable operations role.
  • Solid Python skills and experience with containerization, such as Docker, and orchestration, such as Kubernetes.
  • Hands-on experience with continuous integration and continuous delivery pipelines and infrastructure as code.
  • Familiarity with machine-learning lifecycle tools and model-monitoring solutions.
  • Understanding of data pipelines, application programming interfaces, and modern software architectures.
  • A structured, documentation-driven approach to work, with high standards for accuracy and accountability.
  • Awareness of security, compliance, and responsible artificial intelligence practices.

Responsibilities

  • Build reliable pipelines for deploying, monitoring, and updating artificial-intelligence and autonomy models in production environments.
  • Build observability and evaluation frameworks to track model performance, data drift, and system health.
  • Automate data ingestion, training workflows, and release processes.
  • Build integrations and internal artificial-intelligence tooling for engineering, operations, and governance teams.
  • Create documentation and runbooks to keep artificial-intelligence systems auditable and maintainable.
  • Implement operational controls aligned with information security, compliance, and export-control requirements.

Desired Qualifications

  • Experience in regulated or defense-related environments.
  • German language skills.

About the Company

ARX Robotics

Autonomous modular UGS with AI software

ARX Robotics develops autonomous unmanned ground systems and software to modernize defense fleets. Its GEREON tracked and HECTOR wheeled platforms run Mithra OS, an open-architecture AI software that can network ARX hardware and retrofit legacy NATO vehicles to operate autonomously. This software-first approach enables turning existing vehicles into AI-enabled assets for missions such as reconnaissance, MedEvac, transport, and live-fire training, across multiple terrains. The company differentiates by a European supply chain and the ability to scale hardware-plus-software across European militaries, with deployments to six European forces and contracts with European defense agencies, and aims to scale production fivefold and expand in Europe while maintaining sovereignty.

Company size
201-500
Company stage
Series A
Total funding
$57.4M
Headquarters
Munich, Germany
Founded
2021

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