Autómatika engineer állások, munkák Németországban

Development and implementation of test procedures in powertrain simulation environments using Python, for the validation of drivability and operating strategy scopes...

• Enable and optimize CI/CD practices to ensure reliable, automated software delivery.
• Own and maintain development and test environments, ensuring stability, scalability, and reproducibility.
• Drive automation across build, test, deployment, and release processes.

Build enterprise cloud infrastructure that provides European data sovereignty and hyperscaler-grade capabilities. You'll work on SAP Cloud Infrastructure, solving complex distributed systems challenges at scale: multi-region networking, container orchestration, storage systems, and the APIs that...

• Incident Management: Analyze, document, and resolve operational incidents (~20% of working time), including escalation and coordination within the team.
• Change Management: Plan, assess impact, coordinate, and implement changes.

You will be a key driver in promoting and implementing innovative Artificial Intelligence solutions within Bosch. Your work will provide significant value to our global engineering quality organization....

• 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)

Design, implement, and operate scalable web applications and services based on Java and Spring – from idea and implementation to deployment, monitoring, and optimisation in production....

• Incident Management: Analyze, document, and resolve operational incidents (~20% of working time), including escalation and coordination within the team.
• Change Management: Plan, assess impact, coordinate, and implement changes.

Drive the Cloud Infrastructure Security function roadmap in alignment with the Product Manager, Tech Lead, and Engineering Manager....

• Design, and manage deployments on Kubernetes clusters within our internal and commercial cloud infrastructure
• Develop and maintain state-of-the-art/modern FastAPI-based microservices, ensuring automated and reliable deployment using Helm charts and Pulumi

• Design, implement and continuously improve DevOps concepts, CI/CD templates, pipelines and automation for SAP landscapes (e.g. SAP BTP, S/4HANA)
• Enable reliable build, test and deployment processes across SAP Cloud and on-premise environments

• perform proactive monitoring and in-depth analysis/documentation of Microsoft cloud environments status updates
• provide automation of service monitoring, notification of critical events
• create concepts and technical documentation describing the developed functionality

• Development of tests for safety and mission critical software in the field of helicopter avionics
• Analysis and debugging of software in context of test operations
• Implementation of automated scenarios
• Carrying out formal software acceptance tests including reviews and documentations

• You develop innovative power semiconductor components (Si Power MOSFETs) for future applications in automotive electronics.
• You precisely characterize power semiconductor devices and verify compliance with specifications.

• Develop and maintain ETL/ELT pipelines for both structured and unstructured data
• Ensure the integrity, availability, and performance of data across ingestion and storage layers
• Collaborate with analysts and architects to translate business requirements into scalable data models

• You design, build, and manage Kubernetes clusters on AWS EKS with high security and scalability standards for autonomous driving AI/ML workloads.
• Furthermore, you provision and orchestrate large-scale GPU clusters for distributed AI/ML training and experimentation.

• Build and evolve mobile solutions: Design, develop, and maintain high-quality React Native applications.
• Own architecture and technical decisions: Understand platform specifics, runtime behavior, dependencies, and deployment pipelines to ensure maintainable, efficient, and scalable mobile solutions.

• Operate, maintain, and further develop cloud-managed Kubernetes clusters
• Build, maintain, and continuously improve CI/CD pipelines using GitLab CI
• Develop and maintain infrastructure as code using Terraform, Ansible, and Helm
• Automate operational tasks and improve developer workflows

You take strategic ownership of an AI Moderation Layer as a hardened platform service: define architecture standards, security policies, SLAs/SLOs, and ensure global scalability and integration with AI platform services.You design and lead a multi-layered defense strategy against jailbreaks, prompt...

• You develop and industrialise end-to-end machine learning algorithms for ADAS functions.
• Furthermore, you design and improve human-like driving behaviour using behaviour models, reinforcement learning, and hybrid data- and model-driven approaches.