554 English-speaking jobs in Munich

Design, build, and deploy software for autonomous UAV systems. Contribute to the development of autonomy stacks, including mission logic, navigation, and system integration.

Senior Test & Verification Engineer to build and scale testing for autonomous UAV systems. Responsibilities include defining test strategies, planning flight tests, setting up bench and HIL setups, debugging embedded systems, and improving software release and deployment workflows. Requires a degree in a relevant field and 3-6 years of experience in testing, verification, or debugging complex technical systems.

Capture the future of flight as a Photographer and Videographer at Destinus. Operate FPV drones, shoot high-quality footage of flight tests and production environments, and manage visual assets. Collaborate with internal teams to produce compelling visual stories that showcase Destinus's innovative UAV technology.

Supply Chain & Logistics Intern will ensure data consistency and reliability across performance tracking. Develop and maintain Power BI dashboards, analyze Route-to-Market KPIs, and collaborate with stakeholders to optimize operational efficiency.

We are seeking ambitious entrepreneurs to build and scale startups in the Mobility sector. You will own your startup, receive funding support, and benefit from mentorship from unicorn founders. Must be based in Europe or the Americas and fluent in English.

Senior Director / Client Relationship & Risk Manager (m/f/d) needed for Munich RE's growing credit business. The role focuses on attracting and managing bank clients, underwriting credit risk insurance, and developing new business in Commercial Real Estate Loans (US, Europe, and other markets). Requires 10-15 years of experience in corporate finance transactions with a focus on Commercial Real Estate.

Own the digital learning strategy for the global Munich Re Academy. Manage the learning management system (LMS), optimize the user experience, and select and implement learning technology tools. Collaborate with stakeholders to deliver high-quality learning experiences.

Support a team of intelligence analysts by gathering competitive landscape information, analyzing data, and assisting with presentations.

Airbus Defence and Space seeks a Digital Workplace Security Operations Specialist to contribute to the development and optimization of client protection strategies and solutions. The specialist will monitor technology trends, advise on endpoint security, and guide the selection of appropriate technologies. They will support technical teams in solution implementation and troubleshooting.

The Product Manager – LifeCycle Management shapes and drives the WITS Automation Continuous Improvement program scope and roadmap across hardware, software, and complex elements.

Data Engineer Machine Learning will support the AI lifecycle, from data preparation to the operation of machine learning and generative AI solutions. You will design and implement APIs, services, and platform functionalities, ensuring platform quality, stability, and security.

Senior Data Engineer / Ingenieur (Machine Learning Engineering) is needed to support the AI lifecycle, from data preparation to the operation of machine learning and generative AI solutions. This role involves collaborating with data scientists, software engineers, and architects to design and implement platform functionalities.

Senior Security Engineer to design and operate secure, scalable AI solutions. Define architecture standards, security policies, and SLAs for an AI Moderation Layer. Lead the design of a multi-layered defense strategy against AI threats. Collaborate with legal, compliance, and data protection teams on AI security governance. Mentor and guide a team of engineers and data scientists.

Designs the AI architecture for the AI-defined vehicle of tomorrow, defining AI system strategy for ADAS, including model architectures, data flows, and integration concepts. Develops prototypes, evaluation pipelines, and data models, testing them against real-world product requirements. Collaborates with expert teams to co-create cutting-edge ADAS products spanning L2 to L4 autonomous driving.

Senior Security Engineer responsible for defining and implementing security policies, SLAs/SLOs, and a multi-layered defense strategy for an AI Moderation Layer. Leads the security lifecycle for LLMs/Agents, including threat modeling, attack simulations, and incident response. Collaborates with legal, compliance, and data protection teams to ensure regulatory alignment. Mentors and guides a team of engineers and data scientists. Requires 8+ years of experience in software or platform security and architecture in cloud environments, deep expertise in LLM and agent security, and proven leadership in security lifecycle and compliance.

Senior Software Engineer - Software Test Developer ensures the quality, reliability, and robustness of software developed by engineering teams. Responsibilities include designing, implementing, and validating software behavior through unit and integration tests, building and maintaining production-grade test infrastructure, and collaborating with peers on design and architecture discussions. The role requires a Master's/Bachelor's degree in Computer Science or Software Engineering with a minimum of 5 years of experience, strong C# development skills, and experience with unit testing frameworks such as MSTest and/or NUnit.

Shape future system and hardware architecture for AI applications in vehicles. Design end-to-end AI and data architectures, focusing on edge computing and diverse use cases. Drive the implementation of scalable AI software platforms using the latest technologies.

Senior Data Engineer to support the AI lifecycle, design and implement platform functionalities, and ensure platform quality, stability, and security. Requires experience in cloud environments (AWS or Azure), building and operating AI platforms, and machine learning/generative AI technologies.

Shape future system and hardware architecture for AI applications in vehicles. Design end-to-end AI and data architectures, focusing on edge computing and diverse use cases. Drive the implementation of scalable AI software platforms using the latest technologies.

Shape future system and hardware architecture for AI applications within vehicles. Design end-to-end AI and data architectures, focusing on edge computing and diverse use cases. Drive the implementation of scalable AI software platforms using the latest technologies.