Python programmer állások, munkák gyártás, termelés területen

Operate an ultra-precision diamond turning machine to manufacture optical molds in optical quality, including setup, basic programming/parameter input, and in-process checks....

• Commissioning and configuring software systems during equipment installation to ensure seamless operation.
• Diagnosing and troubleshooting software and system issues to minimize downtime and improve efficiency.

• Lab validation measurements of semiconductor Silicon Carbide (SiC) Diodes and MOSFETs
• Define test strategies, test limits, and parameter setups for SiC MOSFETs, diodes, and power devices based on device specifications and characterization targets. Document test strategies in work instructions

The customer's decision problem. Sit with the people who plan today, understand capacities, costs, lead times and the constraints nobody wrote down, and turn it into a model whose answer a plant manager acts on. Inventory, scheduling, supply shortages, order prioritization: the decisions that...

• Translate R&D business and user requirements into effective system, process, and automation solutions
• Design, implement, test, and continuously improve automated workflows, AI-augmented data flows and AI Agents
• Ensure stable data flows, high data quality, and reliable system operations

Design, train, and evaluate machine learning models for manufacturing use cases such as quality prediction, anomaly detection, predictive maintenance, and process optimisation, covering the full ML lifecycle from problem definition to performance tuning....

Analyze and characterize typical shock and load cases in transport and handling processes for highly sensitive optical components through literature review, data analysis, and experimental investigations...

You will gain valuable expertise in automating and optimizing processes, along with practical experience in cross-functional projects, particularly in automation through image processing...

• Contribute biological expertise and domain knowledge to the development, validation, and implementation of AI-supported candidate gene discovery approaches.
• Identify, analyse, integrate, and interpret complex multi-omics datasets to support candidate gene discovery and trait development.