413 English-speaking jobs in Munich

Amazon Robotics seeks a Sr. Mechanical Designer to develop next-generation robotic systems. Responsibilities include system architecture, product design, and roadmaps. The ideal candidate will have experience in system design, complex mechatronics, and leading system architecture definition.

Experienced lawyers with a minimum of 8 years post-qualification experience are sought to join a growing international law firm. Successful candidates will be recognized experts in their field, entrepreneurial, client-centric, and collaborative. Must have an active practicing certificate, be fluent in English, and be willing to operate on a self-employed basis.

Experienced Workday Financials Solution Architect needed to design and deliver scalable solutions. Lead implementations, enhancements, and integrations across multiple functional areas. Collaborate with stakeholders to translate business requirements into technical designs.

This dual role combines work as a Junior Learning Manager with a fully funded Master's degree at Steinbeis University. You will contribute to global learning projects in AI and digital skills, co-create e-learnings, and manage learning logistics. The role requires a Bachelor's degree in a related field, at least 2 years of experience in Learning & Development, and strong proficiency in GenAI tools.

Designs and develops hardware components for robotic systems, collaborating with hardware engineers and cross-functional teams. Integrates hardware into robotic platforms, conducts testing, and debugs issues. Requires a Bachelor's or Master's degree in a relevant field and 2+ years of experience in robotics hardware design or development. Proficiency in EPLANs and knowledge of hardware safety standards is preferred.

Production employee needed for a fast-growing deep-tech company. Assemble core components and cryostats, following production documentation.

This dual master's degree program combines work and study, allowing you to earn a Master's degree from Steinbeis University while working as a Junior Learning Manager in the Operations & IT Academy. You will contribute to global learning projects in AI and digital skills, design e-learnings, and manage learning logistics. Must-have qualifications include a Bachelor's degree in a related field, at least two years of experience in Learning & Development, and strong proficiency in GenAI tools.

This dual role combines work as a Junior Learning Manager with a fully funded Master's degree at Steinbeis University. You will contribute to global learning projects in AI and digital skills, design e-learnings, and manage learning logistics. Must have a Bachelor's degree in a related field, at least 2 years of experience in Learning & Development, and strong proficiency in GenAI tools.

This dual master's degree program combines work and study, allowing you to earn a Master's degree from Steinbeis University while working as a Junior Learning Manager in the Operations & IT Academy. You will contribute to global learning projects in AI and digital skills, design e-learnings, and manage learning logistics. Must-have qualifications include a Bachelor's degree in a related field, at least two years of experience in Learning & Development, and strong proficiency in GenAI tools.

Develop and optimize truck frame components, including crossbeams and structural parts, using CATIA V5 and Windchill. Collaborate with various teams to design modular and weight-optimized chassis structures.

Supports the coordination and delivery of leadership training programs, workshops, and internal learning initiatives. Creates and updates learning materials and manages key LMS activities. Collaborates with stakeholders to gather feedback and improve learning initiatives.

Build and integrate real-world robotic and counter-UAV systems. Design mechanical assemblies, produce manufacturing drawings, and select/source components. Assemble prototypes and production hardware, supporting integration of payloads onto ground vehicles and robotic platforms.

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.

Define AI system strategy for ADAS, including model architectures, data flows, and integration concepts. Develop prototypes, evaluation pipelines, and data models, testing against real-world product requirements. Collaborate with expert teams to co-create cutting-edge ADAS products spanning L2 to L4 autonomous driving.

Develop and industrialize end-to-end machine learning algorithms for ADAS functions. Design and improve human-like driving behavior using behavior models, reinforcement learning, and hybrid data- and model-driven approaches. Execute full training and evaluation cycles, from data selection and scene analysis to error diagnosis, validation of new function states for various markets and ODD extensions.

Design end-to-end AI and data architectures for vehicles, focusing on edge computing and diverse use cases. Build scalable AI software platforms using the latest technologies and leverage in-house software stacks. Define interfaces between platforms and applications, ensuring new requirements are integrated into AI and data platforms.

Lead the SDV reference architecture and embedded software strategy for automotive Body SoCs. Define architectures, standards, and roadmaps for embedded platforms. Drive microservices, event-driven, and SOA patterns for in-vehicle compute. Ensure safety and cybersecurity by design. Collaborate with OEM/Tier 1 architects to co-create reference designs and PoCs. Provide technical leadership and guidance to the automotive business line.

Lead and develop a cross-functional engineering team, define the technology roadmap, and ensure high standards across software quality, security, and delivery.

Leads the AI portfolio process, establishes KPIs, and ensures AI governance and risk control. Translates business requirements into AI initiatives and fosters cross-functional collaboration. Builds AI competencies and coaches specialists.

Lead and scale the Battery Control System Product Team, developing reliable, high-performance systems for energy storage. Guide a cross-functional team of firmware, hardware, and testing experts. Foster a culture of clear ownership, pragmatic execution, and strong technical standards.