2868 English-speaking jobs in Bavaria

Own radio communication end-to-end across new product development. Test, validate, and integrate RF systems, acting as subject-matter authority on Line of Sight and Satcom. Requires strong technical foundation in radio systems.

Lead Systems Engineer to direct low observability and RF interoperability. Responsibilities include managing emission control, RF deconfliction, and system integration for airborne platforms. Requires expertise in multi-sensor RF integration and EMC/EMI analysis.

Develop cutting-edge techniques for AI Assurance, focusing on scalable evaluation, uncertainty quantification, and safety mechanisms. Requires MSc in Math/ML, experience in model evaluation, and strong Python/Rust skills.

Research and design large-scale Foundational Models, focusing on training and fine-tuning Vision-Language Models on custom datasets. Requires MSc/PhD in ML/CS/Math with deep learning expertise and Python skills.

Act as a sensing system architect for test, translating requirements into test cases for EO, LWIR, and LiDAR. Characterize systems, specify OGSE/EGSE/MGSE, and manage the full lifecycle from prototype to field analysis.

Software Engineer - Backend develops AI-based capabilities and infrastructure for semi-autonomous platforms. Focus areas include distributed systems, robotics, networking, and security. Requires backend experience, strong coding skills, and English proficiency.

Lead Engineer for GCS & Hardware Simulator. Own the full lifecycle of military-grade hardware, defining modular architecture and leading hands-on prototyping for GCS units and HIL simulators. Must ensure compliance with MIL-STD standards.

Sr. App Growth Buyer to build and scale media buying capabilities. Responsibilities include running high-performance campaigns across DSP ecosystems, protecting margin, and building the future Media Buying team. Requires 5-7+ years in mobile performance marketing.

Own and scale the supply-side intelligence layer for an AI-powered App Growth company. Design a diversified, high-margin supply ecosystem by expanding App Networks, DSP, CTV, and OEM partnerships. Requires deep experience in MMP logic and network buying.

Own and scale high-performance UA campaigns to drive profitable user growth. Manage budgets across publishers, optimize daily based on CPI/CPA/LTV, and maximize ROAS. Requires 5+ years in mobile app user acquisition.

Define AI engineering direction for strategic customer engagements. Act as the deepest technical authority on AI, architecting and scaling AI-native applications. Lead evaluation of emerging AI capabilities.

Design, build, and deploy AI-native data and application solutions within customer environments. Act as chief technical authority, defining architecture and strategy for complex, business-critical applications. Requires 8+ years in AI native application or software engineering.

Provide technical leadership for strategic AI engagements, defining enterprise AI architectures. Lead delivery teams across AI agents, RAG, Knowledge Graphs, and cloud platforms using SAP AI Core and BTP.

Build data foundations for SAP's Knowledge Graphs by designing pipelines to ingest and transform structured/unstructured business data into RDF KGs. Map data to ontologies and develop SPARQL transformations.

Senior Researcher to pioneer advances in foundation and world models on structured business data. Develop novel architectures, create benchmarks, and translate research into publications. Requires PhD and expertise in ML on structured data.

Contribute to pioneering technical advances in foundation models on structured data and world models for business problems. Define benchmarks, architectures, and execute scientific experiments using structured business data.

Contribute to pioneering technical advances in foundation models on structured data and world models for business problems. Define benchmarks, architectures, and execute scientific experiments using structured business data. PhD/Master's required with 5+ years in ML on Structured Data.

Lead complex data science and applied AI initiatives, translating business strategy into scalable analytical solutions within customer environments. Act as a technical authority, guiding stakeholders on advanced modeling and AI implementation.

Drive technical advances in foundation and world models on structured business data. Define research agendas, publish findings, and collaborate with academic partners. PhD required in relevant fields.

Principal Forward Deployed Architect leads strategic AI engagements, defining enterprise AI architectures. Expertise required in LLMs, RAG, Knowledge Graphs, SAP BTP, and leading cross-functional teams.