441 English-speaking jobs in Munich

Responsible for identifying market trends and new technologies for SAP application management services and cloud solutions. Designs global managed services offerings and supports sales and presales teams. Maintains product documentation and provides product knowledge to internal teams. Requires a degree in (business) information technology, economics, or a comparable field and 3-5 years of experience in SAP AMS. Fluency in English and/or German is required. Occasional travel is expected.

Design end-to-end AI and data architectures for vehicles, focusing on edge computing and diverse use cases. Build scalable AI software platforms and define interfaces for application development.

Define AI system strategy for ADAS, including model architectures, data flows, and integration concepts. Develop prototypes, evaluation pipelines, and data models, ensuring they meet real-world product requirements. Collaborate with expert teams to create cutting-edge ADAS products spanning L2 to L4 autonomous driving.

Validation Engineer will build and operate cloud-based validation environments for a multi-agent AI system. Responsibilities include designing AI-assisted exploration strategies, developing coverage models and metrics, establishing validation methodologies, and building observability tooling.

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

As a Senior AI Platform Security Engineer, you will define architecture standards, security policies, and SLAs/SLOs for an AI Moderation Layer. You will lead the design of a multi-layered defense strategy to protect against AI threats and establish and improve the security lifecycle for LLMs/Agents. You will collaborate with legal, compliance, and data protection teams to ensure regulatory alignment for AI security. You will also mentor and guide an agile team of engineers and data scientists.

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 pipelines for in-vehicle hardware. Operates observability stacks for monitoring and alerting.

Deliver groceries to customers efficiently by e-bike or e-scooter. Meet and exceed delivery targets while providing exceptional customer service. Earn at least €13.90 per hour plus tips.

Deliver groceries to customers efficiently by e-bike or e-scooter. Meet and exceed delivery targets while providing exceptional customer service. Earn at least €13.90 per hour plus tips.

Deliver groceries to customers efficiently by e-bike or e-scooter. Maintain a high level of customer service and consistently meet or exceed delivery targets. Earn at least €13.90 per hour plus tips. Must be at least 18 years old, have a work permit in Germany, and speak English or German.

Product Manager for SAP Managed Cloud Services will identify market trends, create managed services roadmaps, and design new global cloud portfolio services. Responsibilities include end-to-end service offer management, maintaining product documentation, and providing product knowledge to internal teams.

Product Manager for SAP Application Management Services will identify market trends, create managed services roadmaps, and design global services offerings. Responsibilities include end-to-end service offer management, product documentation, and providing product knowledge to internal teams.

Senior Analyst will design, evolve, and maintain group-wide price forecasting methodologies and standards. Responsibilities include model validation, market analysis, and stakeholder management. Requires a Master's degree in a quantitative field, 5-7+ years of experience in energy markets, and strong Python and communication skills.

Senior Analyst will design, evolve, and maintain group-wide price forecasting methodologies. Responsibilities include model review, validation, market analysis, and stakeholder management. Requires a Master's degree in a quantitative field, 5-7+ years of experience in energy markets, and strong Python and communication skills.

Designs, builds, and manages Kubernetes clusters on AWS EKS for autonomous driving AI/ML workloads. Provisions and orchestrates large-scale GPU clusters for distributed AI/ML training and experimentation. Implements and automates CI/CD pipelines for AI/ML workflows. Develops and maintains infrastructure components tailored to autonomous driving data.

Designs and operates knowledge graphs and graph databases to capture domain knowledge and operational data. Builds context-engineering pipelines for LLM-based agents and implements feedback loops for continuous improvement. Develops ontologies and semantic models for the automotive AI domain.

Develops end-to-end AI-based ADAS functions, including object detection, behavior prediction, and trajectory planning. Designs and optimizes humanlike driving behavior models using various learning paradigms. Implements and executes complete training, evaluation, and release cycles, ensuring data selection, scene mining, and KPI-based validation.

Designs end-to-end AI and data architectures for future vehicle generations, focusing on AI trends. Builds architectural concepts for diverse use cases, such as digital cockpits and driver interaction. Provides architectural guidance to business units and development teams. Drives the implementation of scalable AI software platforms using state-of-the-art AI research. Co-creates and prioritizes AI use cases, assesses feasibility and value, and translates them into system and hardware requirements. Evaluates and implements the latest AI developments.

As a Senior AI Platform Security Engineer, you will define architecture standards, security policies, and SLAs/SLOs for an AI Moderation Layer. You will lead the design of a multi-layered defense strategy to protect against AI threats and establish and improve the security lifecycle for LLMs/Agents. You will collaborate with legal, compliance, and data protection teams to ensure regulatory alignment for AI security. You will also mentor and guide an agile team of engineers and data scientists, fostering best practices in architecture, security, and platform engineering.

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 for cost-efficient inference and collaborates with performance engineers on hardware-aware model variants.