Python programozó állás, munka

• Work hands-on on an AI-driven proof-of-concept for core after-sales processes
• Support the implementation and testing of PoC components such as data products, machine learning models, agent workflows, or UI elements

• Discussing and clarifying requirements with our internal domain experts
• Design and development of the algorithms that are optimized over various layers of our software stack
• Design and development of the software that interacts with specific hardware components

Implement and maintain the core software platform for self-driving lab systems, including the service layer, internal APIs, and data flow between subsystems...

You will take a key role in shaping and designing our edge platform for developing, testing, deploying, and operating real-time applications....

Implementation of the user interface for the GHGA data portal and other web-based services, ensuring a world-class user experience and usability...

Where you belong: Where you belong: ...

• Keep data moving: Build, run, and refine data pipelines and workflows (Python, Airflow/Cloud Composer) so they're reliable, fast, and easy to change
• Shape our data models: Use BigQueryand Cloud Spanner to design wellstructured, highperformance datasets for analytics and machinelearning use cases

You define the AI system strategy for ADAS: model architectures, data flows, integration concepts: Grounded in methodological expertise and validated through technical feasibility assessments....

Scalable Data Pipelines: Design, build, and operate automated pipelines on Apache Airflow to transform largescale automotive datasets reliably and on schedule....

• Translate business requirements into technical solutions through workshops, prototyping, and iterative delivery
• Collaborate with customers across the delivery lifecycle (workshops, reviews, UAT) to refine and optimize solutions

• Design of Beckhoff PLC programs (TwinCAT3) based on project specifications and documentation
• Design of Safety programs (TwinSAFE)
• Support the development of standardized code blocks
• Test and comissioning of the PLC systems in-the-field
• Investigate and solve technical issues in-the-field

• Design and implement high-performance software components for complex distributed systems, focusing on C++ development and advanced network protocols.
• Develop features aligned with the product roadmap and implement custom solutions for individual customer requirements.

• Integration and programming of robotic manipulators (e.g. UR, Franka, or similar collaborative arms) and motion systems (e.g., gantries) in real operational environments
• Sensor integration and closed-loop feedback control, including force/torque sensing, vision systems, and real-time error detection

• Set up and integrate complex robotics systems for mobile manipulation tasks
• Computer vision algorithms are often developed in close collaboration with Computer Vision and AI Engineers
• Hardware drivers for various types of new robots, actuators, and sensors
• New UI screens

Apply your knowledge of security architecture to help software engineers build secure products and services across a diverse technology stack, including microservices, mobile applications, and cutting-edge AI-driven solutions....

Directly impact your team's tech scope: work hand in hand with PM and EM to manage product technical roadmaps and dependencies to minimise technical debt....

• Contribute to pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Define the data, training, and experimentation environment to enable scalable access to data and compute.

You steer internal and external international development teams to develop and operate a scalable, secure, and high-performance AI platform (In-Vehicle & Cloud)....

• Ensure state of the art testing across embedded, backend, and frontend domains to ensure high quality software products
• Create the test approach based on business and technical objectives
• Develop the test automation framework in close collaboration with other experts

• Architect and build the high-performance backbone of our data platform
• Focus on distributed computing stability and building effective caching strategies for large-scale operations
• Design ETL pipelines and architect resilient caching for complex dependency resolutions