Mérnök állások Németországban (rendszerintegrátor)

Set up and integration of complex robotic systems for mobile manipulation tasks...

You build and maintain end-to-end ML pipelines using workflow orchestration tools: from data ingestion to distributed training, evaluation, model compilation, and deployment-ready artefacts....

• Develop and operate Java microservices that power Adobe's cloud platform, supporting a large global audience
• Improve the performance, reliability, and security of services your team owns end-to-end

• Configuration Management Expert with special focus on the C++ build system with CMake
• Manage and extend the SW build system for C++ according to product development.
• Implement changes, integrate new SW components and build variants.
• Migrate components from make to CMake.

• Developing the core services that connect internal tools to AI providers
• Implementing routing, cost controls, security policies, and observability
• Building tools that make AI capabilities easy and safe to consume
• Contributing to a platform where teams can publish and reuse AI skills

• Work closely with product owners and stakeholders to analyze business needs and integrate them into the CRM system
• Define and enforce CRM development standards based on best practices and governance models
• Configure the system, workflows, automation, and integrate it with third-party systems

• 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

Use your Kubernetes and Go expertise to contribute to Gardener's core components – the foundational building blocks that enable Gardener to manage thousands of Kubernetes clusters across various cloud providers....

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....

• Bring-up of new hardware in close cooperation with our electrical teams, providing robust interfaces for our high-level application teams
• Create drivers for new boards, components and sensors (e.g. optical & lightning)
• Evaluate new hardware based on EVK and development kits

• You join a stable team of experienced developers to maintain and extend our market leading application for aeronautical message handling.
• You contribute to all phases of the software life cycle - requirements engineering, design, implementation, verification, and maintenance.

• Supporting a team of systems engineers, systems architects, and hardware engineers in the deployment of customer systems
• Applying the requirements engineering process to define functional and non-functional system requirements based on user requirements

• Design and implement security architecture for our Internal Developer Platform
• Drive adoption of Zero Trust principles across platform components, networks, identities, and services

• Architect and build the high-performance backbone of our data platform
• Focus on distributed computing stability and building effective caching strategies for large-scale operations
• Design ETL pipelines and architect resilient caching for complex dependency resolutions

• Design, develop, test, deploy and maintain software in a thriving environment
• Manage individual project priorities and deliverables whilst working in a team who enjoy knowledge sharing sessions

• Partner with sales teams to identify customer needs and propose tailored HPC and AI storage solutions.
• Establish a trusted technical relationship with the customers and partners to position Fsas capabilities and ensure that its added value is properly communicated.

We are looking for one or two software engineers to join the team which is implementing control software for the ELT and its instruments. The CSE department comprises a team of almost 50 engineers organized in 5 groups and is responsible for the definition, design and implementation of complex...

Industry 4.0 technologies: You identify, evaluate, and implement Industry 4.0 technologies (IoT, AI, machine learning, automation) into shopfloor processes to enhance productivity, reduce downtime, and improve quality....

• Design, build, and operate Java‑based cloud services, owning them from design through production
• Evolve scalable, secure, and reliable capabilities using modern cloud and distributed systems practices
• Improve system performance, resilience, and operability across multiple cloud regions

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