567 English-speaking jobs in Baden-Württemberg

Develop and deliver AI-based ADAS functions, including object detection, behavior prediction, and trajectory planning. Design and optimize humanlike driving behavior models. Own complete training, evaluation, and release cycles.

Senior AI Platform Security Engineer responsible for defining architecture standards, security policies, and ensuring global scalability for AI platform services. Leads the design of a multi-layered defense strategy to protect against AI threats and establishes the security lifecycle for LLMs/Agents. 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 strong leadership in security lifecycle and compliance.

Design data pipelines for AI model training and finetuning. Implement experiment tracking and build evaluation suites for edge AI products. Optimize datasets for small LLMs and build self-serve data tools.

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.

Senior Applied AI/ML Application Engineer will build, prototype, and deliver use cases leveraging edge device models for the BMW Intelligent Personal Assistant. Responsibilities include integrating models, prototyping GenAI experiences, collaborating with model engineering, and building evaluation tools. Requires a university degree, 5+ years of application engineering experience, and strong Python and Java/Kotlin skills.

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. Drive the implementation of AI model architectures and leverage open-source AI frameworks.

Builds and maintains end-to-end ML pipelines, including data ingestion, training, and deployment. Engineers petabyte-scale data pipelines and develops tooling for efficient data processing. 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.

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 and validation. Translate market needs, regulatory requirements, and user behavior into production-ready function increments.

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 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 system improvement. Develops ontologies and semantic models for the automotive AI domain. Architects agent memory systems and evaluates retrieval quality using various metrics.

Develop and operate AI platforms for data pipelines, training, deployment, and inference. Optimize AI models and ensure reliability, performance, and cost-efficient operation of AI-based systems. Translate stakeholder requirements into scalable AI platform features.

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. Collaborates with data scientists, AI/ML engineers, and cloud architects.

Designs AI architecture for the AI-defined vehicle of tomorrow, integrating LLMs, VLAMs, End2End driving models, Foundation world models, and agent systems into ADAS architectures. Develops AI system strategy for ADAS, including model architectures, data flows, and integration concepts. Collaborates with expert teams to co-create cutting-edge ADAS products spanning L2 to L4 autonomous driving.

Senior Applied AI/ML Engineer develops and refines edge GenAI models for the BMW Intelligent Personal Assistant. Selects, adapts, and fine-tunes models for voice assistant and intelligence tasks. Implements compression strategies and collaborates with performance engineers on hardware-aware model variants.

Master's Thesis Student (d/f/m) in Systems Engineering and Design for the RAFT Lunar Flight Model (Phase B2). Support the RAFT project through Phase B2, refining the mechanical and systems design of the Flight Model, integrating test data, and managing international interfaces.

Internship focused on AI-based development for satellite ground segment applications. Students will design, implement, test, and document features using AI agents. Requires programming skills in Python or Java, knowledge of Kubernetes and Linux, and strong communication skills.

Master's student in aerospace, software, or security engineering sought to upgrade F-Series Crypto Ground Segment software. The thesis will focus on adapting the GUI/MMI for intuitive handling of security functions and preparing the Ground Security Unit for managing onboard payload crypto boards.

Cyber Security System Architect needed for a permanent position at Airbus Defence and Space. The role requires proven experience working in a multi-cultural team and independently. German language skills are a plus.

Manage and orchestrate procurement for Earth Observation, Science and Exploration (EOSX) programs. Lead sourcing from suppliers, ensuring on-time, on-cost, and on-quality deliveries. Consolidate program dashboards and reporting on subcontractor performance. Drive adherence to project budgets and manage cost evolution. Secure competitive, reliable, and compliant supplier offers.

Airbus Space Engineering in Friedrichshafen seeks a Satellite Ground Segment Deployment Responsible to design satellite ground segments in a modern DevOps environment.