895 English-speaking jobs in Baden-Württemberg

Design and maintain enterprise AWS infrastructure, defining Landing Zones and enforcing governance. Focus on security, cost optimization, and advising application teams. Requires 10+ years in IT infrastructure with AWS expertise.

Design and maintain enterprise AWS infrastructure, defining Landing Zones and enforcing governance. Focus on security, cost optimization, and advising application teams. Requires 10+ years in IT infrastructure with AWS expertise.

Lead global procurement transformation, defining AI/automation strategies and owning end-to-end S2P/P2P processes. Requires 5+ years in procurement and 5+ years in AI/automation implementation.

Lead Data Scientist/Quantitative Analyst for Commodity Intelligence. Create and improve predictive market models in Python for chemicals and petrochemicals. Guide and project-manage data science talent.

Senior Data Scientist in Commodity Markets drives data-based innovation by deploying and maintaining Data Science models for energy and chemicals. Requires 3-5 years of experience, strong Python/Dash skills, and experience with cloud platforms.

This role requires a Mission Modeling, Simulation, and Analysis Specialist to rigorously model and assess technological solutions for defense organizations. Apply advanced analytical methods to evaluate mission performance and operational concepts. TS/SCI clearance is required.

Staff Software Engineer, AI Libraries, builds scalable platforms and tools for machine learning. Responsibilities include designing Python libraries for distributed training, inference, and data loading. Requires deep Python expertise and experience leading large-scale software systems.

Build and improve scalable data pipelines for autonomous driving model development. Ingest, transform, and curate large-scale datasets, ensuring data quality and supporting ML workflows. Requires Python, SQL, and PySpark experience.

Customer Integration Engineer to support autonomous driving technology for the German market. This role provides hands-on technical support, troubleshooting, and acts as a bridge between customers and internal engineering teams.

Develop C++ application software for ADAS and active-safety features, building logic on AI/ML outputs. This role involves validation, debugging, and translating requirements into robust vehicle features.

Own the AI model release cycle, ensuring reliable, on-time deployment across the vehicle fleet. Define release gates, coordinate cross-functional teams, and build processes for ML model promotion from hypothesis to production.

Senior Machine Learning Engineer to lead large-scale data enrichment for Core Model Safety in autonomous driving. Develop workflows for rare event mining and design out-of-distribution detection mechanisms. Requires Python/PyTorch expertise and ML operations experience.

Senior Software/Reliability Engineer to ensure autonomous vehicle systems are reliable and scalable. Monitor health, investigate incidents, and build automation using Python, C++, or Rust, with experience in SRE practices.

Staff Embedded Security Engineer to partner with embedded software teams. Design security controls for firmware and Linux, securing boot, OS, and communications. Requires experience with connected embedded devices and hardware-backed security.

Lead large-scale training and post-training for Gaia, a world model predicting future frames from driving video. Influence model architecture and drive measurable impact on the driving stack.

Senior Machine Learning Engineer for ADAS. Train and improve CV/3D perception models across the ML lifecycle. Build scalable data pipelines for core ADAS capabilities like detection and classification.

Design and operate scalable batch and streaming pipelines for multimodal fleet and simulation data. Build data models and versioned datasets for training and safety analysis using Python and SQL.

Define data quality and provenance using statistical methods. Analyze large datasets with Python and SQL to identify quality issues. Partner with teams to build automated, defensible metrics for embodied AI systems.

Own the end-to-end lifecycle of ADAS features like Collision Avoidance and Lane Keeping. Define scope, set performance targets, and guide delivery from concept to production with OEM partners.

Cyber Security Engineer to lead threat analysis and risk assessment for autonomous driving software. Responsibilities include defining security concepts, supporting ISO/SAE 21434 compliance, and collaborating with OEMs. Requires 5+ years in cybersecurity systems engineering.