918 English-speaking jobs in Baden-Württemberg

Senior Consultant for RF Semiconductor Center of Expertise. Drive new product capability evaluations, debugging, and test optimization for RF and wireless ICs. Consult on product fit, characterization, and production test development. Collaborate with R&D teams to influence feature development and define test methodologies.

Senior Linux Infrastructure Security Expert needed to harden and secure internal service landscapes (Kubernetes, virtualization, automation). Responsibilities include designing, building, and running secure infrastructure for web and backend applications. Requires deep Linux expertise, experience with Kubernetes, and programming fluency in Python, Go, JavaScript/TypeScript, or equivalent. Public cloud experience (AWS or Azure) is essential.

Build and operate AI infrastructure and developer platforms to enable AI for all engineers. Design and ship LLM-powered services, including conversational flows and RAG-based applications.

Senior Linux Infrastructure Security Expert needed to harden and secure internal service landscapes (Kubernetes, virtualization, automation). Responsibilities include designing, building, and running secure infrastructure for web and backend applications. Requires deep Linux expertise, experience with Kubernetes, and programming fluency in Python, Go, JavaScript/TypeScript, or equivalent. Public cloud experience (AWS or Azure) is essential.

Define, document, and maintain the standardized Supplier Data Specification, including data definitions, acceptance criteria, and exception handling. Lead the assessment of existing supplier data flows and schemas to identify gaps against the defined specification. Establish and manage relationships with supplier data owners and drive adherence to standards.

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.

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 Workday HC IT Expert, you will lead global implementations, enhancements, and optimization initiatives for Workday HC modules. You will translate global HR business requirements into functional Workday solutions and system configurations. You will serve as a subject matter expert for Workday HC across all regions, ensuring consistency, compliance, and system integrity.

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

Responsible for identifying market trends and new technologies for SAP application management services and cloud solutions. Designs global managed services offerings and supports sales and presales teams. Maintains product documentation and provides product knowledge to internal teams. Requires a degree in (business) information technology, economics, or a comparable field and 3-5 years of experience in SAP AMS. Fluency in English and/or German is required. Occasional travel is expected.

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.

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.

System Engineer responsible for capturing customer requirements, refining equipment needs, and coordinating software development. Requires a background in computer science, aerospace engineering, or a related field with experience in systems engineering and tools like SysML/UML, DOORS, MATLAB/Simulink, and CAMEO.