Programozó állások Németországban (it programozás, fejlesztés)

In this PhD project, you will investigate neural 3D scene representations, including neural radiance fields, Gaussian splatting, and implicit occupancy models, and adapt them to the unique challenges of in-cabin perception. Unlike exterior environments, where a moving sensor observes a largely...

• You work in a young team using state-of-the-art tools on the AP Sensing Edge Platform for Distributed Acoustic Sensing.
• You support the design and implementation of a quality assurance strategy for Rust-based systems, with a focus on performance, functional correctness, and system resilience.

• Build Data Pipelines: Design, build, and maintain scalable data pipelines for ingesting, transforming, and serving financial and operational data.
• Work with ERP Data: Integrate and model data from ERP systems and finance tools, including accounting, controlling, procurement, revenue, and cost data.

Where you belong: Where you belong: ...

You design and develop next-generation architecture at the intersection of multi-modal perception, foundation models, behavior learning, and end-to-end autonomous driving....

Analysis of the data ecosystem: assessment of data systems, interfaces and data quality; evaluation of security / privacy and interoperability (data-level to user-level)...

• 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

• 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 understand RABOT's departments, their core processes and our AI tooling (Claude, Claude Code, our data stack) well enough to run a process-discovery session on your own.
• You've shipped your first automation into production — something a team feels immediately.

• WinningTeam – You are part of a highly skilled and motivated project team and you are eager to contribute to the project success
• GettingToKnow about the Zone Architecture
• LearningAbout different Testing tools used in Automotive

• Develop both classical algorithms and modern machine learning techniques
• Implement algorithms efficiently on embedded hardware
• Optimize parameters for complex, hybrid image pipelines
• Develop innovative solutions for hardware-constrained challenges

As a PreMaster in embedded sensor computing technologies, you conduct comprehensive analyses of RISC‑V processor cores and compare them against established commercial and proprietary CPU architectures...

• 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.

• Implementing and evaluating state-of-the-art quantum algorithms (e.g., QAOA, VQE, quantum annealing or others) for an optimization problem in the scope of optical systems
• Implement prototypes and demonstrators to evaluate quantum-enhanced optimization concepts for ZEISS applications

• Build and run evaluation pipelines for LLM-based systems
• Analyze metrics, identify edge cases, and track quality
• Create and maintain Golden and Silver datasets
• Work with evaluation frameworks and tools (like Langfuse)
• Develop Python scripts for AI workflows (APIs, data processing, monitoring)

• Development of tests for safety and mission critical software in the field of helicopter avionics
• Analysis and debugging of software in context of test operations
• Implementation of automated scenarios
• Carrying out formal software acceptance tests including reviews and documentations

• Deploy, configure, and manage network switches, fabric management software, and host-software stacks.
• Monitor fabric health, diagnose link errors, and resolve performance bottlenecks.
• Run benchmarks and characterize the interconnect performance.

Ownership of Data Assets & strategy: Own pre-training, evaluation, and meta-data including proprietary, open-source, and synthetic datasets. Develop and execute vision....

Architect the ML Platform: Design, implement, and maintain a robust MLOps infrastructure that enables researchers to move seamlessly from local experimentation to global production....

• Build and operate the highly-available, scalable microservices that form the backbone of the SAP Business Technology Platform.
• Architect and implement the central API gateway, handling massive-scale traffic, security policies, and observability for all of SAP's cloud products.