1081 English-speaking jobs in Bavaria

Handler needed for FedEx's Munich location. Responsibilities include loading/unloading vehicles and containers, scanning and sorting packages, and potentially operating a forklift. Must be physically fit (able to lift up to 32kg), have German or English language skills, and possess good organizational, learning, and teamwork abilities.

Full-stack engineer to develop and maintain a vulnerability monitoring application. Responsibilities include designing backend APIs, building frontend interfaces, and collaborating with cross-functional teams. Requires experience with Ruby on Rails, Angular, TypeScript, and SQL.

As a Working Student (f/m/d) in UX Design, you will support design efforts, collaborate cross-functionally, and contribute to user-centric experiences. You will design user interfaces, participate in user research, and contribute to quality control.

Develop and maintain complex software systems for ExacTrac Dynamic, an in-room patient positioning and monitoring system for radiotherapy. Design, develop, and maintain robust and scalable software solutions using C++. Collaborate with a cross-functional team to ensure software quality, performance, and maintainability.

Lead the development and optimization of search capabilities for a high-traffic eCommerce platform. Design and implement next-generation search solutions leveraging Elasticsearch and ML technologies. Drive search excellence by optimizing ranking and relevance using search algorithms, tracking data, and user behavior. Mentor a team of engineers, fostering growth and championing best practices.

Lead Consultant for Market Application drives innovation and supports the transformation of power infrastructure toward sustainable energy solutions. Provides strategic guidance on new technologies and supports customers in entering new markets. Contributes to the full business development lifecycle, from opportunity identification to proposal development and negotiation.

Lead a new automotive software company focused on vehicle software platforms and digital automotive technologies. Define strategy, recruit leadership teams, and establish the company's structure.

Develop, deploy, and maintain AI/ML models for automotive use cases. Experience with deep learning, time series, NLP, and production environments required.

Develops software for automation technologies, including hardware-system software interfaces. Designs electrical control panels and handles electrical design and commissioning of motion systems. Creates technical concepts, specifications, and documentation. Supports service, marketing, and sales teams.

Develop and maintain secure enterprise applications in high-security environments. Analyze requirements and translate them into robust technical solutions. Collaborate with an international team on technologically demanding projects.

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.

Senior Applied AI/ML Engineer will select and adapt base models for voice assistant and intelligence tasks. Develops training, fine-tuning, and evaluation pipelines to refine models. Implements compression strategies and collaborates with performance engineers on hardware-aware model variants.

Define semantic ontologies and context data models for autonomous driving and real-time systems. Drive the implementation of data infrastructure functions and design a multi-level memory concept for vehicles. Integrate ML, GenAI, and symbolic reasoning to curate semantic context for the vehicle. Develop data model strategies for fine-tuning SLMs and VLMs for agentic applications.

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.

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.

Technical AI Engineer responsible for complex, cross-functional AI initiatives from requirements analysis to implementation. Designs and develops scalable AI systems, focusing on Generative AI, and manages AI-related projects. Collaborates with internal and external partners. Requires a university degree in a relevant field, 3+ years software development experience with Python, and 2+ years implementing and industrializing AI solutions.

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

Builds and maintains end-to-end ML pipelines, including data ingestion, training, evaluation, and deployment. Engineers petabyte-scale data pipelines for training models. Develops tooling for efficient data processing and integration with dataset management platforms. Manages experiment tracking, hyperparameter tuning, and model registry. Develops and maintains model compilation and optimization pipelines for in-vehicle hardware. Operates observability stacks for monitoring and alerting.

Leads global Treasury Operations (Accounting, Middle & Back Office), ensuring standardized processes, clear governance, and compliance with IFRS/HGB and internal RIC frameworks. Oversees and coordinates Treasury closing activities, manages Treasury Accounting processes, and governs valuation methodologies, risk frameworks, and regulatory reporting. Leads and develops the Treasury Operations team, driving standardization, automation, and digitalization initiatives.