1528 English-speaking jobs in Munich

Seeking experienced Electrical Authorised Person for a major project. Responsibilities include managing HV/LV systems, overseeing switching operations, and ensuring safety compliance. Requires City & Guilds HV/LV Certification and AP experience.

Senior EMC Engineer to ensure robust, compliant Automotive MCU/MPU solutions. Responsibilities include planning and conducting EMC testing, influencing design decisions, and serving as an EMC expert for internal and external stakeholders.

Senior Software Product Manager to own the low-level software stack for next-gen automotive real-time processing. Drive roadmap and execution across RTD, Firmware, Security, and BSP for SDV architectures.

Lead the transformation of embedded software via AI-first digitalization. Architect Multi-GenAI orchestration using NXP tools and integrate AI into Atlassian platforms for autonomous SDLC. Requires Python, C/C++, and experience with LLMs and agent frameworks.

Senior FAE supporting MPU & DNPU solutions for key EMEA customers, focusing on the robotics segment. Provide technical leadership on edge-compute architecture, processor selection, and software stack integration.

Senior Principal Computer Architect for AI/ML to research and advance state-of-the-art AI accelerator IPs. Requires expertise in RTL design, C++/Python, and deep knowledge of neural network architectures.

Systems Architect focused on Energy & Power Management within E/E architecture. Define solutions for future Energy & Power management, engaging with OEMs on sub-systems leveraging NXP's expertise. Requires experience in automotive E/E architecture definition.

AI Development Engineer to solve computer graphics problems using AI within the 3DEXPERIENCE platform. Responsibilities include developing and optimizing AI software components. Requires 3+ years as a Software Engineer with strong Python and C++ skills.

Lead cross-functional teams to drive growth for Networks, Communications & Enterprise Storage. Define go-to-market strategies, align marketing and sales, and influence product roadmaps based on market needs.

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.

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.

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.

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.

Develop Grounded AI for sales workflows, architect scalable AI components, and mine operational datasets. Requires strong engineering fundamentals, Python, LLM experience, and data analysis skills.

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.

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.

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.

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.