Quality control állások Németországban (it programozás, fejlesztés)

Design, implementation, and maintenance of workflows for data processing, instrument control, as well as data transfer and storage for continuous atmospheric monitoring devices....

Act as the responsible point of contact for the internal and external stakeholders of our SAR processors and its corresponding data products...

• Design, develop, implement and test end-to-end payroll processes with a focus on standardization, automation, and scalability
• Accompany innovative process optimization projects with a focus on digitization

• Own product vision, roadmap, and adoption strategy for AI capabilities across global customer interaction processes.
• Deliver cost reduction by prioritizing and scaling (agentic) automation of service requests (from intake and triage to resolution and escalation).

• Independent development, implementation, documentation and monitoring of global process and quality standards
• Analyzing the technical implications of developments in Data Management processes and independently deriving the resulting next steps

• Collaborate on quality inspection algorithms in challenging applications for factory environments
• Investigate potential of foundation models for industrial quality inspection
• Investigate XAI algorithms for Vision Language models

• Support product discovery by researching insurance-relevant risk datasets (e.g., natcat hazards, vulnerability, claims) and analysing market and regulatory trends.
• Translate insurance workflows and operational needs into clear product requirements, concepts, and user stories.

• Leading and developing the Technical Process Consulting team (approx. 8–10 people) across the streams: Source‑to‑Pay, Record‑to‑Report, Plan‑to‑Produce, Plan‑to‑Maintenance, and Order‑to‑Cash
• Steering the transition from the QIAbase project into stable CoE processes and structures

• Conducting tests as part of the software development lifecycle (SDLC), particularly during the initiation and feasibility phases
• Documenting processes, test results and relevant work steps

development of novel machine models based on supervised, unsupervised and reinforcement learning that can be combined with, enhance or replace methods from computational engineering and computer simulation...

• Coordinate with wet laboratories, contract research organizations (CROs), and external collaborators to facilitate the transfer of imaging data and associated metadata.
• Ensure incoming datasets are delivered according to defined data formats, metadata standards, and project requirements.

• Own the global S/4 S2P template including process standards, approval logic, controls and system integrations.
• Define and enforce global purchasing standards; manage deviations through structured governance.
• Drive template deployment and ensure consistent adoption across regions and Business Units.

• Coordinate with wet laboratories, contract research organizations (CROs), and external collaborators to facilitate the transfer of imaging data and associated metadata.
• Ensure incoming datasets are delivered according to defined data formats, metadata standards, and project requirements.

Co-lead the global OT Security domain within the Digitalization Team, ensuring close alignment with Corporate IT, Maintenance, Engineering, and Production functions...

Observe and think ahead: You develop reusable verification environments for our IC Designsand help us to ensure the “First Time Right” of our products...

• Managing and mentoring a multidisciplinary team of machine learning and image analysis experts
• Coordinating DCU activities across partner sites and aligning them with HI strategy

• 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

• Discussing and clarifying requirements with our internal domain experts
• Design and development of the algorithms that are optimized over various layers of our software stack
• Design and development of the software that interacts with specific hardware components

• Designing and maintaining the overall software architecture for our metrology systems
• Collaborating with Software Engineering, Hardware, and Product Management to align architecture with technical and business requirements

• 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