Python programmer állások Németországban (programozó, fejlesztő)

• Design, build and operate scalable test automation frameworks for enterprise environments
• Drive and consult on test automation strategies for our customers
• Develop and maintain automated test cases (e.g. regression, integration, system and acceptance tests)

• You will build 3D geometry models representing real-world Automotive Radar & ADAS scenarios
• You will run electromagnetic simulations using the Asymptotic Solver in CST Studio Suite and analyze KPIs

• Ensuring the sustainability of community ESM codes, and enabling the adop­tion of modern HPC systems
• Enabling and improving high-performance computing capabilities of ESM codes, including performance optimization

Your role will be at the forefront of tackling complex challenges in the field of ophthalmology...

Where you belong: Where you belong: ...

Design and implement scalable, secure, and maintainable fullstack solutions for AI-enabled applications and platforms, including components that leverage LLMs to enable advanced user interactions and automation...

We are looking to recruit, at the earliest possible date, a full-time and permanent SOFTWARE DEVELOPER (M/F/D) FOR SCIENTIFIC APPLICATIONS WITH A FOCUS ON BIG DATA to strengthen our development team at KWS Saat SE & Co. KGaA in Einbeck, Lower Saxony. The role involves replacing an existing...

We are looking to recruit, at the earliest possible date, a full-time and permanent SOFTWARE DEVELOPER (M/F/D) FOR SCIENTIFIC APPLICATIONS WITH A FOCUS ON BIG DATA to strengthen our development team at KWS Saat SE & Co. KGaA in Einbeck, Lower Saxony. The role involves replacing an existing...

• Develop and maintain ETL/ELT pipelines for both structured and unstructured data
• Ensure the integrity, availability, and performance of data across ingestion and storage layers
• Collaborate with analysts and architects to translate business requirements into scalable data models

• 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.

• Hands-on experience building foundations for realtime simulation systems
• The chance to learn, implement and extend state-of-the-art simulation methods (XPBD, advanced constraint solvers, hybrid models)
• Mentorship from PhD-level researchers

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....

Design, development, training, validation, and continuous optimisation of ML models for production-grade automotive use cases, covering the full lifecycle from initial prototype to long-term operation....

• Become familiar with our previously developed neural network superstructure for learning iterative algorithms
• Extend the superstructure to tackle AC-PF problems of different complexities and assess its convergence in inference
• Investigate scaling and performance bottlenecks

• Develop and optimize data pipelines and algorithms within the Snowflake environment.
• Manage code repositories, automate deployment processes, and collaborate with team members using Azure DevOps for continuous integration and machine learning model improvement.

• Propose innovative methods to abstract EVCC functionality, transforming it from a hardware-dependent system to a flexible software component.
• Collaborate closely with our internal and external engineering partners to implement and integrate the software component into a rapid prototyping environment.

In 18-24 months, you will go through various rotations in Germany and abroad, taking on responsible tasks in the areas of application, software services, software and function development (requirements engineering, function development, validation and verification, virtualization, big data, and...

• Prepare large-scale automated driving datasets for training and evaluation purposes.
• Contribute to the development and maintenance of the coding framework for data processing, model training, and validation of end-to-end driving systems.

You will design and deliver end-to-end ADAS AI models such as object detection, behavior prediction, and trajectory planning - from data analysis and model design to SOP-ready release....

As a research engineer, you will be at the forefront of pioneering system design, with the responsibility to architect, develop, and deploy sophisticated AI systems that seamlessly integrate reinforcement learning with agentic AI systems and multi-modal foundation models....