151 Engineer English-speaking jobs in Munich

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

As a Senior AI Platform Engineer, you will play a pivotal role in advancing the Data & AI transformation

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.

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.

Develop and industrialize end-to-end machine learning algorithms for ADAS functions. Design and improve human-like driving behavior using behavior models, reinforcement learning, and hybrid data- and model-driven approaches. Execute full training and evaluation cycles, from data selection and scene analysis to error diagnosis, validation of new function states for various markets and ODD extensions.

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.

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.

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.

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.

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.

We are looking for an engineer who can design and evolve the knowledge-management and context-engineering

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 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.

Full-stack (Java/Kotlin) Engineer (m/f/d) - Team Payments At Flix, we offer a tech-driven environment ... As a Full-stack Engineer with a strong backend focus (Kotlin) you will help us build the future of payments

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 will define architecture standards, security policies, and SLAs/SLOs for an AI Moderation Layer. Responsibilities include leading the design of a multi-layered defense strategy, establishing and improving the security lifecycle for LLMs/Agents, and collaborating with legal, compliance, and data protection teams.

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 against real-world product requirements. Collaborates with expert teams to co-create cutting-edge ADAS products spanning L2 to L4 autonomous driving.

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.

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.

As a Full-stack Engineer with a strong backend focus (Kotlin) you will help us build the future of payments