RAG-Anwendungen, Agenten oder Tooling) in stabile, produktive Services wie APIs, Backends oder Worker – inklusive Architektur, Error Handling und technischer Dokumentation Aufbau zuverlässiger Daten- und Dokumentenpipelines (Ingestion, Transformation, Indexing/Embeddings, Retrieval) als zentrale Bausteine für produktionsreife KI-Lösungen Entwicklung und Etablierung umfassender Test- und Qualitätsstrategien (Unit-, Integrations- und End-to-End-Tests) sowie LLM-spezifischer Evaluations- und Regressionsmechanismen (Eval-Sets, Guardrails, Versionierung) Aufbau und Betrieb von CI/CD-Pipelines, Umgebungen (Dev/Test/Prod) und Release-Prozessen für zuverlässige Bereitstellung GenAI-basierter Services Implementierung moderner Observability (Logging, Tracing, Metrics, Dashboards, Alerts) sowie Umsetzung von Security- und Governance-Standards (Identity/RBAC, Secrets, Policies) Ihr Profil Abgeschlossenes Studium im Bereich Informatik, Wirtschaftsinformatik oder vergleichbare Qualifikation Mehrjährige Erfahrung im Software Engineering, idealerweise mit Schwerpunkt Python; zusätzliche Kenntnisse in TypeScript, Java oder C# sind von Vorteil Erfahrung in der produktiven Entwicklung von Backend-Services einschließlich Tests, CI/CD und Integrationslandschaften Fundiertes technisches Verständnis für Betrieb und Stabilität produktiver Systeme – insbesondere Monitoring, Alerting, Incident-Readiness sowie Performance- und Kostenbewusstsein Praxis im Umgang mit Cloud-Technologien, bevorzugt Microsoft Azure (Identity, Secrets Management, Storage/Compute, Netzwerkgrundlagen) Strukturierte, qualitätsorientierte Arbeitsweise sowie der Anspruch, hochwertige und skalierbare GenAI-Lösungen in Produktion zu bringen Einsatzort: Dortmund ǀ Nordrhein-Westfalen
Your Tasks As a member of the OHB Simulator Software Team, you are responsible for the full life-cycle development of simulation software for a variety of spaceflight missions:Design, develop and implement simulation models of satellite equipment and the space environmentContinuously improve the simulation framework, user front-end and the test-/debugging interfaces and tooling Perform tasks along the full software life cycle, including software requirements, architecture, design, code, test, integration and documentation Coordinate with customers and internal software teams for the design, for reviews and the timely delivery of simulatorsSupport the customer teams during mission preparation as well as during the maintenance phase of the simulators Your Qualifications A degree in engineering with a major or PhD in Computer Science, Electrical Engineering, Aerospace Engineering or a comparable qualificationProficiency in modern C++, experience with Python Familiarity with working in a Linux environment Professional experience as Software Engineer or Simulator Software Engineer would be an assetKnowledge of federated simulation and co-simulation techniques would be an assetExperience with Qt, Git, DOORS and JIRA as well as embedded software is a plusExperience with ECSS-SMP tools/environments and software standards (e.g.
Who you are 5+ years of professional experience in Platform Engineering, DevOps, or Site Reliability Engineering (SRE), with a significant focus on cloud infrastructure Fluency in scripting languages (e.g., Python, Go, Bash) for system automation, tooling development, and operational tasks Deep expertise in managing and scaling production workloads within a major public cloud provider (e.g., AWS, Azure, or GCP), including strong familiarity with core services like Compute, Networking, Identity & Access Management (IAM), and Managed Database Proven mastery of Infrastructure-as-Code (IaC) using AWS CloudFormation and/or Terraform in complex, multi-account environments Demonstrated experience designing, implementing, and maintaining robust CI/CD pipelines Solid knowledge of monitoring and logging solutions Excellent communication and documentation skills, with the ability to articulate complex technical issues to technical stakeholders Benefits Hybrid working Sportkurse Freier Zutritt zur code.talks Exklusive Mitarbeiter Rabatte Kostenlose Getränke Sprachkurse Kostenloser Laracasts Account Company Events Relocation Unterstützung Mobilitätszuschlag State-of-the-art Technologien Zentrale Lage Betriebliche Altersvorsorge Weiterbildungs- angebote Hunde erlaubt AY Academy Feedbackkultur Firmenfahrrad YOU ARE THE CORE OF ABOUT YOU.
Your Profile - Qualifications • Bachelor’s/Master’s/PhD in Computer Science, Applied Mathematics, Engineering, or related field. • Strong background in machine learning, deep learning. • Proven experience with 3D graphics, computational geometry (meshes, point clouds, surface reconstruction) or computer vision • Proficiency in Python, C++, and ML frameworks (TensorFlow, PyTorch). • Experience with medical imaging data (CT, CBCT, intraoral scans) is a plus. • Full professional proficiency in English is required Preferred Skills • Familiarity with GANs, diffusion models, or neural rendering for material reconstruction. • Familiarity with biomedical applications. • Strong problem-solving skills and ability to work in interdisciplinary teams. • Excellent communication and documentation abilities. • Large language modules (plus) What We Offer • Opportunity to work on cutting-edge applications in digital dentistry and orthodontics. • Collaborative environment with experts in ML, graphics, and healthcare. • Competitive salary and benefits package. • Career growth in a rapidly evolving field.
. • Leverage knowledge of Engineer to Order (ETO) and other Product Lifecycle Management (PLM) solutions to ensure seamless E2E process integration. • Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field. • Long years of experience as an SAP Consultant, with a focus on S/4 HANA, SAP PP, QM, Serialization, and Batch Management. • Proven experience in SAP project roll-out implementations. • Strong analytical and problem-solving skills, with the ability to think critically and strategically. • Excellent communication and interpersonal skills, with the ability to work collaboratively across teams. • Experience with Serialization and Batch Management in an S/4 HANA environment is highly desirable. • Knowledge of Engineer to Order (ETO) processes and other PLM solutions is a significant advantage. ##5,472000004