381 English-speaking jobs in Munich

Develop and manage international key accounts in the data center segment, building and maintaining long-term customer relationships. Co-develop and implement the central segment strategy for data centers, developing go-to-market strategies and use cases.

Develop and manage international key accounts in the data center segment. Co-develop and implement the central segment strategy for data centers. Build and maintain an internal cross-country data center community.

Develop and manage international key accounts in the data center segment. Apply sales methodologies to drive business development and co-develop the central segment strategy for data centers.

Experienced Project Manager to lead busbar deployment projects in high-performance datacenters. Responsibilities include project delivery, stakeholder coordination, site execution, and commissioning. Requires technical expertise in LV/HV electrical distribution systems and proven project management skills.

Lead Data Engineer to design and implement scalable data platforms using Snowflake. Define data architecture standards, implement ETL/ELT pipelines with DBT, and ensure compliance with European data regulations.

Über unsJob DescriptionAUGENTIC - Driven by TechnologyAUGENTIC GmbH having its headquarters in Munich, Germany is a globally operating company in the business of digital identities and the related identity management solutions. Our projects range from the supply of components all the way through to turnkey solution projects.

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 code development and testing.

Develop and manage international key accounts in the data center segment, building and maintaining long-term customer relationships at the C-suite level. Co-develop and implement the central segment strategy for data centers, developing go-to-market strategies and use cases. Build and maintain an internal cross-country data center community to foster knowledge exchange and synchronize activities.

Define core semantic ontologies and context data models for autonomous driving and real-time systems. Drive the implementation of advanced data infrastructure functions and design a multi-level memory concept for vehicles. Orchestrate the integration of ML, GenAI, and symbolic reasoning rules to curate semantic context. Develop the data model strategy for fine-tuning SLMs and VLMs for agentic applications.

Builds and maintains end-to-end ML pipelines, including data ingestion, training, evaluation, and deployment. Engineers petabyte-scale data pipelines for training models. Develops tooling for efficient data processing and integration with dataset management platforms. Manages experiment tracking, hyperparameter tuning, and model registry. Develops and maintains model compilation pipelines for in-vehicle hardware. Operates observability stacks for monitoring and alerting.

Designs the AI architecture for the AI-defined vehicle of tomorrow, defining how LLMs, VLAMs, End2End driving models, Foundation world models, and agent systems integrate into ADAS architectures. Develops prototypes, evaluation pipelines, and data models, and tests them against real-world product requirements. Collaborates with expert teams to co-create cutting-edge ADAS products spanning L2 to L4 autonomous driving.

Develop and operate AI platforms for data pipelines, training, deployment, and inference. Optimize AI models and lead technical solutions for scalable AI platform features. Ensure reliability, performance, and cost-efficient operation of AI-based systems.

Develop and optimize embedded machine learning models for connected vehicles. Own the full lifecycle of models, from concept to production deployment. Collaborate with software, machine learning, and semiconductor specialists. Apply state-of-the-art compression techniques and optimize for runtime, compute, and memory efficiency.

Investment Banking Associate (Level 1 or 2) supports M&A, financing transactions, and financial modeling. Prepares presentations, analyzes financial statements, and mentors analysts. Requires a Bachelor's Degree and 3+ years of Investment Banking experience.

Senior Sales Executive to expand EcoG's presence among EV charger manufacturers and industrial OEMs. Focus on strategic "design-in" sales of embedded charging software and controller platform. Requires navigating complex industrial sales cycles and building executive relationships.

Develop and execute marketing and PR strategies to build QCraft's brand image in Europe. Manage social media, industry media, and offline events. Build relationships with local media, bloggers, and industry influencers.

Junior investment professional sought for market-leading infrastructure team focused on global direct investments. Will involve deal origination, execution, financial modeling, and due diligence. Requires first-time experience in investment banking, M&A, consulting, or private equity, ideally with infrastructure exposure.

Regulatory and Sustainability Engineer (m/f/d) will participate in industry associations, standardization groups, and monitor technical changes related to sustainability. The role will also lead corporate sustainability initiatives, ensuring adherence to deadlines and cost targets.

Define and own the data science and AI strategy across the organization. Lead development and scaling of predictive and generative AI models for marketplace and fintech use cases. Partner with product and business leaders to align ML initiatives with company goals. Design scalable ML systems and cloud-based workflows for training and deployment, with a strong focus on AWS.

Senior Product Manager for Amazon Music's International Tech team will drive product strategy for international customers, focusing on local relevance and cultural awareness. Responsibilities include defining product roadmaps, managing product delivery, and collaborating with cross-functional teams to scale operations through AI.