751 English-speaking jobs in Baden-Württemberg

Support Product Standard Owners in creating and maintaining central policies to enforce corporate requirements. Design evidence schemas and evaluate evidence using Open Policy Agent. Requires familiarity with Git and CI/CD fundamentals.

Working Student role in QA, AI & Automation for Client Technology Workplace. Develop internal QA ecosystems using Microsoft technologies, Power Apps, and Power Automate. Requires study in CS or related field.

Working Student in Software Development & Cloud Solutions on SAP BTP. Contribute to digital solutions for Product, Asset, and Sustainability Management, gaining experience with SAP BTP and modern cloud technologies.

Research novel methods to adapt generative AI to specialized domains by integrating structured symbolic knowledge with LLMs. Focus on enabling models to leverage knowledge graphs and formal design representations for precise reasoning.

Develop algorithms for SCM Optimization Service focusing on classical optimization, AI-enhanced techniques, and GPU-accelerated solvers. Requires strong Python skills and knowledge of optimization frameworks.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

AI Security Researcher specializing in AI/ML security. Requires MSc in ML/CS and experience with AI workloads, LLMs, and threat modeling (poisoning, prompt injection). Develops defenses for AI training environments.