7519 English-speaking jobs in Germany

Lead a team of six in Cloud Infrastructure and Security for a global marketplace on AWS and GCP. Own end-to-end platform reliability, cost-efficiency, and security posture.

Seeking an experienced Systems Architect to design realistic engineering scenarios for an AI training project. This role requires defining complex system architectures across mechanical, electrical, hardware, software, and manufacturing disciplines.

Forward Deployed Software Engineers work with customers to design and implement data-driven solutions. This role requires strong coding skills in languages like Python or Java, and the ability to own end-to-end high-stakes projects.

Design and deploy ML, predictive analytics, and Generative/Agentic AI solutions. Lead end-to-end AI product development using Python, PySpark, Databricks, and Azure. Requires a Master's/Ph.D. and production experience.

Applied AI Architect on the Partnerships team focuses on technical relationships with Global/Regional System Integrators and cloud partners. This role drives GTM strategy, develops joint solutions, and provides deep technical expertise for customer deals.

Lead technical delivery of custom agentic AI solutions for enterprise customers, owning the delivery plan from SOW to production. Drive scoping, stakeholder relationships, and technical trade-offs in complex environments.

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.

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.

Application Software Engineer to advance autonomous driving technology for the German market. Execute software bring-up on customer hardware, porting Linux, QNX, and Adaptive AUTOSAR. Requires 8+ years in embedded/automotive software with C/C++, Python, and Linux expertise.

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.

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.

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.

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.

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.

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.

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.

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.

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.