946 English-speaking jobs in Baden-Württemberg

Develop and own methods for adjustment, diagnostics, functional testing, and performance verification of cutting-edge digital hardware products. Design and implement diagnostics and adjustment solutions in a C++ software environment. Bring up and stabilize new hardware generations using prototypes, R&D tools, and state-of-the-art lab equipment.

As a RF Semiconductor Center Of Expertise Senior Consultant, you will serve as the primary technical interface for strategic customers developing RF and wireless ICs. You will drive new product capability evaluations, debugging, correlation, and test optimization activities. You will also consult on product fit discussions, characterization, and production test development for RF, mmWave & wireless devices.

Technical expert for electroacoustic safety systems. Analyze, test, explain, and improve systems. Support Engineering and Sales teams.

Full Stack Software Engineer to build and run scalable web applications. Develop user-friendly interfaces and reliable cloud services. Contribute to DevOps efforts and participate in code reviews. Requires a university degree in Computer Science or equivalent experience, strong software engineering skills, and proficiency in TypeScript, Node.js, Express, and related technologies.

Regional Delivery Assurance Manager (f/m/d) will manage delivery assurance processes for selected consulting projects, including risk reviews, risk assessments, and quality assurance reviews. The role requires 5+ years of experience in SAP project delivery, 3+ years in risk management and quality assurance, and fluency in English.

The Global Commodity Leader (CTL) develops and executes global commodity strategies for Power Modules and Standard Semiconductor Components. The CTL leads global commodity teams, identifies and develops suppliers, and drives supplier negotiations and development activities.

The Global Interconnection Technology Engineer develops and executes interconnection technology and sourcing strategies. The role collaborates with R&D, Procurement, and suppliers to drive robust solutions across connectors, cable assemblies, harnesses, and PCB interconnects.

Designs and continuously improves end-to-end inventory management processes for raw materials, work-in-progress, and finished goods inventory. Develops and maintains inventory management processes, policies, and procedures. Analyzes data and provides insights to leadership for decision-making.

The Global Commodity Leader (CTL) - Mechanics is responsible for the strategic management of a broad portfolio of mechanical commodities. The role assesses current and future business needs and translates them into commodity strategies. The CTL works with global Business Units, R&D, Engineering, Quality and Supply Chain organizations to develop and execute strategies per sub-commodity. The role requires a strong technical foundation to engage with internal stakeholders and suppliers.

Senior Techno-Functional Business Analyst (TF BA) needed for digital transformation project. The role bridges business and technical teams, translating business needs into technical requirements. Requires 5-8 years of experience as a Data Analyst, Business Analyst, or similar role, with experience in global transformation projects and part data models. Strong data analysis, process mapping, and communication skills are essential.

Regulatory and Sustainability Engineer (m/f/d) for a parental leave cover (fixed term, two years). Responsibilities include participating in industry associations, influencing standards, monitoring regulations, and leading sustainability initiatives.

Develop and improve methods for adjustment, diagnostics, and performance verification of hardware. Design and implement diagnostics solutions in C++, integrate with hardware, and bring up new hardware generations. Analyze production and field data to improve manufacturability and performance.

Develop and operate scalable AI platforms in cloud environments. Support the entire AI lifecycle, from data preparation to deployment. Automate infrastructure and workflows using DevOps and MLOps tools. Collaborate with data scientists and engineers to design and implement platform functionalities. Ensure platform quality, stability, and security.

Develop and operate scalable AI platforms in cloud environments. Support the entire AI lifecycle, from data preparation to deployment. Automate infrastructure and workflows using DevOps and MLOps tools. Collaborate with data scientists and engineers to design and implement platform functionalities. Ensure platform quality, stability, and security.

Develop and operate scalable AI platforms in cloud environments. Support the entire AI lifecycle, from data preparation to deployment. Automate infrastructure and workflows using DevOps and MLOps tools. Collaborate with data scientists and engineers to design and implement platform functionalities. Ensure platform quality, stability, and security.

Develop and operate scalable AI platforms in cloud environments. Support the entire AI lifecycle, from data preparation to deployment. Automate infrastructure and workflows using DevOps and MLOps tools. Collaborate with data scientists and engineers to design and implement platform functionalities. Ensure platform quality, stability, and security.

Develop and operate scalable AI platforms in cloud environments. Support the entire AI lifecycle, from data preparation to deployment. Automate infrastructure and workflows using DevOps and MLOps tools. Collaborate with data scientists and engineers to design and implement platform functionalities. Ensure platform quality, stability, and security.

Develop and operate scalable AI platforms in cloud environments. Support the entire AI lifecycle, from data preparation to deployment. Automate infrastructure and workflows using DevOps and MLOps tools. Collaborate with data scientists and engineers to design and implement platform functionalities. Ensure platform quality, stability, and security.

Develop and operate scalable AI platforms in cloud environments. Support the entire AI lifecycle, from data preparation to deployment. Automate infrastructure and workflows using DevOps and MLOps tools. Collaborate with data scientists and engineers to design and implement platform functionalities. Ensure platform quality, stability, and security.

Develop and operate scalable AI platforms in cloud environments. Support the entire AI lifecycle, from data preparation to deployment. Automate infrastructure and workflows using DevOps and MLOps tools. Collaborate with data scientists and engineers to design and implement platform functionalities. Ensure platform quality, stability, and security.