30 engineer English-speaking jobs in Karlsruhe

, ML-focused Software Engineer, or Data Scientist with engineering depthExperience building and operating ... and sharing ML engineering best practices Zentrale AnforderungenExtensive hands-on experience as ML Engineer

Overview As a Sales Engineer, you design high-performance storage solutions that empower customers across

Overview As a Senior Deep Learning Engineer, you will optimize and deploy Cosmos World Foundation Models

Overview In this Senior Designated Support Engineer role at DDN, you will deliver expert technical support

Overview As a Senior Power Magnetics & Module Design Engineer, you will develop high-density, high-frequency

Overview As a Staff Software Engineer in the Security Agent team, you shape the design and delivery of

Overview As a Senior Cloud Identity Engineer, you will shape identity strategy within a Microsoft Cloud

Job Description: Microchip Technology Inc. has a Senior Engineer II-Applications opening in the Networking ... Requirements/Qualifications: The Applications Engineer position has the following requirements –Bachelors

Your teamYour direct team consists of a Principal Security Engineer and an Information Security Officer ... The Principal Security Engineer owns application security and our Secure Software Development Lifecycle

Job Description The Senior Implementation Engineer (SIE) is assigned to customers immediately after ... A Day in The Life of Our Senior Implementation Engineer Work with Account Managers, Solution Architects

Overview In this Senior DevOps / Platform Engineer role, you own the end-to-end delivery path from approved

Design and scale data foundations for AI workflows, building resilient pipelines from CRM/ERP sources. Architect the AI context layer with versioned data products and enforce data quality standards using Microsoft Fabric, Python, and SQL.

Develop and implement advanced EMS strategies for BESS across European markets. Refine multi-objective optimization algorithms and validate them through simulations and hardware testing. Requires a Master’s or PhD in a relevant engineering field and strong Python skills.

Overview In this role you will maintain highly available GPS correction services using cloud and automation tech. You’ll collaborate with development teams to support product delivery across the tech lifecycle and drive improvements in reliability, security, and efficiency. You’ll evaluate new providers, design scalable workloads, and guide cloud migrations from on-premises.

Contribute to Dataiku DSS by building core features across data preparation, AI/ML, data consumption, visualization, MLOps, and platform scaling. This fullstack role requires experience in backend and frontend development.

Senior Software Engineer to elevate REDAPL, Datadog’s referential data platform. Responsibilities include building a query engine for relationship traversals, leading architectural decisions, and driving platform initiatives for scalability and resilience. Requires strong backend and distributed systems experience.

Lead the design and delivery of AI-powered experiences within Datadog Notebooks, blending deterministic capabilities with LLM-driven flows. Own production systems and provide technical leadership while partnering with Product to solve customer problems.

Overview In this role you design, implement and maintain Kubernetes-based solutions and AWS infrastructure to enable engineering teams to run applications reliably on Kubernetes. You collaborate with security to strengthen the cloud posture and continuously improve CI/CD concepts, empowering product teams to deploy safely and efficiently.

Overview In this hybrid Berlin role, you own the design, build, and operation of emnify’s cloud-native 5G Standalone core. You set technical direction, remain hands-on across the stack, and work with cross-functional teams to deliver scalable network functions. You will design roaming signaling and interworking, deploy on AWS and Kubernetes, and mentor peers to raise engineering standards.

Design and deploy AI infrastructure solutions, optimizing training and inference at scale on NVIDIA platforms. Build MLOps pipelines and develop open-source tooling for scalable ML workloads. Requires 8+ years in large-scale production systems.