520 English-speaking jobs in Munich

Build and own Vesoma's supply chain from prototyping to mass production. Identify, assess, and qualify suppliers for robot components. Manage supplier relationships, drive cost optimization, and ensure production readiness.

Lead software development for the AUGENTIC Qomitto platform. Manage a team of 20 developers, overseeing the full software development lifecycle. Design, implement, and monitor software quality assurance processes.

Lead development efforts for the AUGENTIC software platform "Qomitto". Manage a team of 20 developers, overseeing the full software development lifecycle. Design, optimize, and implement testing strategies. Collaborate with architects, product owners, and stakeholders.

Lead development efforts for the AUGENTIC software platform "Qomitto". Balance strategic leadership with technical oversight, ensuring a team of 20 developers operates efficiently. Design, optimize, and manage the full software development life cycle. Drive the ScrumBan model and manage release cycles. Maintain technical proficiency and supervise testing strategies.

The Head of SSBI Data Office is responsible for developing and maintaining a robust data governance framework to meet BCBS 239 requirements. This role ensures data quality, compliance with BCBS 239 standards, and collaboration with stakeholders to implement the SSBI data strategy.

Support SuccessFactors Product Owners in their responsibilities and projects. Leverage and drive AI in various systems, applications, and processes. Co-drive global transformation and change initiatives. Engage with stakeholders across the globe. Manage projects and prepare relevant working material.

Senior Specialist Data & AI Governance will enable responsible and value-driven use of Data & AI across TRATON SE. This role drives implementation and improvement of the Data & AI governance framework, supports the demand and portfolio process, and facilitates collaboration across business functions and IT teams.

Platform Engineer to build and operate cloud infrastructure for AI-enabled solutions. Responsibilities include implementing and operating Kubernetes infrastructure, building CI/CD pipelines, developing Infrastructure as Code, and managing observability and security systems. Requires 5+ years of experience in platform engineering, SRE, or DevOps with strong Kubernetes, Azure cloud services, and CI/CD experience.

Design, build, and maintain backend services and REST APIs for AI-enabled solutions. Deliver cloud-native microservices using Docker and Kubernetes. Build and maintain CI/CD pipelines with automated tests and secure delivery practices. Integrate and standardize API exposure via gateway patterns. Establish and maintain observability standards using Azure Monitor and Application Insights. Diagnose and resolve complex issues across microservices, clusters, and pipelines. Embed security and resilience best practices. Collaborate with ML Engineers, Platform Engineers, AI Architects, and DevOps.

Support the development and enhancement of global AI governance, including frameworks, processes, and toolsets. Review AI use cases and systems against industry best practices and regulatory expectations. Define key risk indicators and performance metrics for AI security governance. Serve as the first point of contact for AI specific technical safeguards in vendor risk assessments. Contribute to global security awareness programs with insights into responsible and secure AI practices.

Develop advanced models of physical layer (PHY) components and systems for next-generation Ethernet and high-speed interconnect technologies. Analyze system behavior, explore novel signal processing techniques, and propose solutions to address design limitations. Collaborate with cross-functional teams and influence system architecture and standards discussions.

Support SuccessFactors Product Owners in their responsibilities and projects. Leverage and drive AI in various systems, applications, and processes. Co-drive global transformation and change initiatives. Engage with stakeholders across the globe. Manage projects and prepare relevant working material.

Support the delivery of XR software solutions for life sciences clients. Coordinate projects, maintain documentation, and prepare client materials. Contribute to process improvements.

Project Engineer to execute product development processes for hardware and software solutions in the medical device field. Collaborate with internal and external partners, prepare technical documentation, and plan/execute verification and validation activities.

Experienced bartender with hotel and catering industry training seeks to join a team in a fast-paced environment. Must be able to motivate colleagues, maintain composure under pressure, and ensure smooth bar operations.

SAP MM Retail Consultant required for long-term contract with a global brand. Deliver SAP MM full life cycle implementations and rollout projects across Germany and Switzerland. Strong SAP MM functional consultancy and solution design experience needed.

As a Partner Solutions Architect on the Applied AI team, you will cultivate technical relationships with Global and Regional System Integrators (GSIs/RSIs), and cloud partners (AWS and GCP). You will strengthen relationships to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy. Responsibilities include: strategic technical partnership, joint solution development, customer deal support, partner ecosystem & events, and product feedback.

As a Commis de Cuisine, you will prepare food for restaurant, bar, and banquet areas according to recipes and guidelines. You will also prepare mise-en-place, maintain hygiene, and handle kitchen utensils.

Senior Vendor Manager to manage Physical Music vendors in Germany and France. Responsibilities include partnering with Label relations teams, leading strategic workstreams on new releases, and collaborating with EU Music VMs. Requires experience with Excel, account management, project management, data analysis, and P&L management.

PhD position in machine learning and computer simulations for materials and process design. Develop machine learning models to enhance or replace computational engineering methods.