MOIA builds autonomous vehicle software and fleet management systems for urban mobility operators. The tech stack—AWS, Airflow, Spark, Iceberg, dbt, Kubernetes—reflects a data-heavy, real-time architecture built for fleet operations at scale. Heavy engineering hiring (66 roles) paired with active projects in safety assurance, homologation strategy, and OTA update governance signals MOIA is scaling autonomous operations beyond prototype phase, addressing the regulatory and operational complexity of deploying autonomous fleets in production cities.
Notable leadership hires: Tech Lead, Head of Homologation, Technical Project Lead
MOIA is a Berlin-based autonomous mobility company founded in 2016, operating as a self-owned entity. The company partners with city transit operators to integrate autonomous vehicles into public and private transport networks. The product layer spans fleet software (update management, compliance automation, safety validation), data infrastructure (central transformation framework for fleet domain data), and vehicle architecture (next-generation e/e design for autonomous platforms). Operations span Germany, with 201–500 employees across engineering, product, operations, data, and finance teams.
MOIA runs AWS (Lambda, CDK, DynamoDB, Cognito, API Gateway), Apache Airflow, Spark, dbt, Kubernetes, and Docker for backend and data infrastructure. Frontend uses React, TypeScript, GraphQL, and Apollo Federation. Data is stored in Iceberg and Parquet formats. Internal tools include Jira, Confluence, Slack, SAP S/4HANA, and GitHub.
Active projects focus on autonomous vehicle operations: software update management systems, safety assurance and validation for autonomous driving, homologation strategy for regulatory compliance, central data transformation frameworks for fleet data, and next-generation autonomous vehicle electrical/electronic architecture.
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