516 English-speaking jobs in Munich

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.

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 responsible for defining and implementing security policies, SLAs/SLOs, and a multi-layered defense strategy for an AI Moderation Layer. Leads the security lifecycle for LLMs/Agents, including threat modeling, attack simulations, and incident response. 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 proven leadership in security lifecycle and compliance.

Shape future system and hardware architecture for AI applications in vehicles. Design end-to-end AI and data architectures, focusing on edge computing and diverse use cases. Drive the implementation of scalable AI software platforms using the latest technologies.

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.

Leads the partner ecosystem for Google Cloud's dedicated and data boundary offerings, driving partner-led customer adoption and pipeline growth in financial services, healthcare, and other regulated industries. Responsible for designing, building, and rolling out a partner program, defining and executing the GTM strategy, and identifying, engaging, and developing key partners. Drives the ISV partnership lifecycle and engages strategic systems integrators and advisory partners to guide customers through complex data classification strategies.

Define and own the product roadmap for AI-powered developer tools, including IDEs, augmented development environments, and coding workflows. Identify opportunities to accelerate developer velocity and enhance the developer experience. Partner with Engineering, UX, and DeepMind to translate AI research into practical developer tools. Lead and mentor a team of product managers.

Shape future system and hardware architecture for AI applications in vehicles. Design end-to-end AI and data architectures, focusing on edge computing and diverse use cases. Drive the implementation of scalable AI software platforms using the latest technologies.

Shape future system and hardware architecture for AI applications within vehicles. Design end-to-end AI and data architectures, focusing on edge computing and diverse use cases. Drive the implementation of scalable AI software platforms using the latest technologies.

Delivers training for Beckman Diagnostics systems, utilizing various platforms. Develops, executes, and evaluates training programs and materials. Ensures compliance with safety, quality, and regulatory requirements. Troubleshoots and repairs instruments. Builds relationships with subject matter experts. Requires experience in chemistry, immunology, biology, or automation.

The Senior Analyst Technical Customer Support – Technical Trainer develops, executes, and evaluates technical training programs for Beckman Diagnostics systems. This role reports to the Munich Center of Excellence Training Manager and requires experience in service, application engineering, or training within chemistry, immunology, biology, or automation.

Develops software tools and simulation platforms for analog mixed-signal circuit design. Requires strong programming skills in Python or C++ and knowledge of hardware design.

Designs, builds, and industrializes production-grade AI and GenAI solutions across business domains. Takes technical ownership of AI initiatives, from problem framing to implementation and rollout. Builds scalable AI systems, including model integration, orchestration, and deployment.

Senior AI Platform Security Engineer will define architecture standards, security policies, and SLAs/SLOs for an AI Moderation Layer. Responsibilities include designing a multi-layered defense strategy, establishing and improving the security lifecycle for LLMs/Agents, and collaborating with legal, compliance, and data protection teams. The role requires 8+ years of experience in software or platform security and architecture in cloud environments, deep expertise in LLM and agent security, and proven leadership in security lifecycle and compliance.

As a Solutions Architect, you will work with customers to understand their technology needs and develop optimized solutions based on NVIDIA frameworks like RAPIDS and DASK. You will support customer adoption of NVIDIA GPU-accelerated data science libraries and perform in-depth analysis and optimization for GPU-based systems.

Senior Backend Engineer will build and maintain backend systems for payroll processing pipelines, ensuring accurate and reliable payroll operations. Responsibilities include designing payroll services, generating payslips, and collaborating with product managers and engineers. Strong experience with backend systems, distributed systems, and programming languages like Kotlin/Java is required.

Site Reliability Engineer to design, implement, and manage on-premise Kubernetes infrastructure in secure environments. Build cloud-native platforms, observability frameworks, and MLOps platforms. Collaborate with security teams on supply chain security and runtime protection.

The Solutions Sales Director will drive revenue growth for Diligent by understanding customer needs, tailoring solutions, and influencing customer decisions. This individual contributor role involves inbound and outbound sales, pipeline management, and deal completion. The Solutions Sales Director will also coach and support the development of the Sales team by enhancing their technical knowledge and understanding of business value.