1204 English-speaking jobs in Bavaria

Identifies and evaluates market trends for SAP application management services and cloud solutions. Creates managed services portfolio roadmaps and designs new global managed services. Manages end-to-end service offers and supports sales and presales teams.

Identifies and evaluates market trends for IaaS and PaaS services for SAP customers. Creates managed services portfolio roadmaps and designs new global managed cloud services. Manages end-to-end service offers and supports sales and presales teams.

Regional Delivery Assurance Manager will implement and execute delivery assurance processes for selected consulting projects, including risk reviews, risk assessments, and quality assurance reviews. The role requires 5+ years of experience in SAP project delivery, 3+ years in risk management and quality assurance, strong communication and stakeholder management skills, and the ability to work autonomously. Willingness to travel 20-40% is required.

Identifies and evaluates market trends for SAP application management services and cloud solutions. Creates managed services portfolio roadmaps and designs new global managed services. Manages end-to-end service offers and supports sales and presales teams.

Regional Delivery Assurance Manager will implement and execute delivery assurance processes for selected consulting projects, including risk reviews, risk assessments, and quality assurance reviews. The role requires 5+ years of experience in SAP project delivery, 3+ years in risk management and quality assurance, strong communication and stakeholder management skills, and the ability to work autonomously. Willingness to travel 20-40% is required.

Identifies and evaluates market trends for SAP application management services and cloud solutions. Creates managed services portfolio roadmaps and designs new global managed services. Manages end-to-end service offers and supports sales and presales teams.

Regional Delivery Assurance Manager will implement and execute delivery assurance processes for selected consulting projects, including risk reviews, risk assessments, and quality assurance reviews. The role requires 5+ years of experience in SAP project delivery, 3+ years in risk management and quality assurance, strong communication and stakeholder management skills, and the ability to work autonomously. Willingness to travel 20-40% is required.

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.

Develop and operate scalable AI platforms in cloud environments. Support the entire AI lifecycle, from data preparation to deployment. Automate infrastructure and workflows using DevOps and MLOps tools. Collaborate with data scientists and engineers to design and implement platform functionalities. Ensure platform quality, stability, and security.

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.

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.

Integrate and prototype GenAI & ML models for the BMW Intelligent Personal Assistant. Develop new in-car intelligence features, collaborating with model engineering and UX teams. Requires a computer science or engineering degree and 5+ years of application engineering experience.

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.

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.

Software Developer will implement software components in helicopter simulations, integrate them into systems, execute integration tests, and create documentation. Requires a degree in Computer Science, Aerospace Engineering, or a similar field, experience with C/C++, Qt, and RTOS.

Develop tests for safety and mission critical software in helicopter avionics. Analyze and debug software, implement automated scenarios, and carry out formal software acceptance tests.

Software Developer will implement software components in helicopter simulations, integrate them into systems, execute integration tests, and create documentation. Requires a degree in Computer Science, Aerospace Engineering, or a similar field, experience with C/C++, Qt, and RTOS.

Software Developer will implement software components for flight simulation, plan and conduct unit tests, integrate software parts, and define and implement integration tests. Documentation according to project specifications is required.

Develop tests for safety and mission critical software in helicopter avionics. Analyze and debug software, implement automated scenarios, and carry out formal software acceptance tests.