Autómatika engineer állások, munkák Németországban

• Design, build and operate scalable test automation frameworks for enterprise environments
• Drive and consult on test automation strategies for our customers
• Develop and maintain automated test cases (e.g. regression, integration, system and acceptance tests)

Architecture & System Design: Identify and address architectural limitations, make pragmatic trade-offs, and help evolve systems toward scalability, reliability, and long-term maintainability....

• Help Shopify run its planet scale systems by enabling our engineering teams to create resilient systems.
• Build and improve tools to keep our platform resilient and performant.
• Ensure we never fail for the same reason twice.
• Go on-call and respond to automated alerts and execute playbooks.

Taking responsibility: Platform Engineering & Governance: Design, implement, and maintain core Microsoft 365 services (Exchange Online, SharePoint, Teams, OneDrive); define and enforce governance policies that balance user productivity with enterprise control. Security & Identity...

• Development of robust, real‑time-capable controllers and online estimation of vehicle states
• Design and implementation of model‑ and data‑driven observers for environment estimation

• Design, develop, and integrate components for establishing trust (e.g. via SPIFFE) and securing network connections (e.g. mTLS, IPSec, Wireguard) in dynamic environments
• Leverage existing Open Source software to implement state of the art security features

• Build and test harnesses for our micro launcher Spectrum or testing applications
• Assemble and test avionics units for development of Spectrum launcher
• Support during the integration of harnesses and units on to the engines and launch vehicle

As a research engineer, you will be at the forefront of pioneering system design, with the responsibility to architect, develop, and deploy sophisticated AI systems that seamlessly integrate reinforcement learning with agentic AI systems and multi-modal foundation models....

• Lead and mentor a team of developers, fostering a culture of excellence, collaboration, and innovation
• Technical strategy: Drive architectural decisions, coding standards, and best practices across the stack

• Architect complex data flow solutions, enabling transparent, versioned, and fully auditable computations
• Design the data layer by developing metadata and data lineage models fused by semantic graphs and numerical data

You define the AI system strategy for ADAS: model architectures, data flows, integration concepts: Grounded in methodological expertise and validated through technical feasibility assessments....

Cloud platform engineering: Develop and implement automation processes for the deployment and operation of cloud software and services using platform engineering, infrastructure as code (e.g., Terraform), and Kubernetes....

• Develop, program, and optimize PLC control systems for automated production equipment.
• Troubleshoot and resolve automation and control system issues to ensure high equipment availability.
• Commission new production equipment and automation systems together with internal teams and external suppliers.

You will design and deliver end-to-end ADAS AI models such as object detection, behavior prediction, and trajectory planning - from data analysis and model design to SOP-ready release....

• Implement security controls and tools for application security testing (SAST, DAST, IAST)
• Perform vulnerability assessments and penetration testing on applications
• Collaborate with developers to remediate security issues and enforce secure coding practices

Architect the ML Platform: Design, implement, and maintain a robust MLOps infrastructure that enables researchers to move seamlessly from local experimentation to global production....

As a Research Engineer, you will develop cutting-edge Vision-Language-Action (VLA) architectures that empower AI agents to interpret human instructions and act autonomously in complex environments....

INNOVATION IS IMAGINING WHAT NO ONE ELSE CAN. Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. But it takes real intellectual leadership and expertise to identify and then harness the AI trends and...

INNOVATION IS IMAGINING WHAT NO ONE ELSE CAN. Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. But it takes real intellectual leadership and expertise to identify and then harness the AI trends and...