Karrierprogram állások, munkák rendszerintegrátor kategóriában

Work Environment: Within Digital Global Supply Chain Europe, in collaboration with members of the Digital Smart Supply Chain team, we are responsible for deploying innovative offers and applications to improve the efficiency and productivity of our industrial sites. We are a team of 8 people spread...

• You will familiarize yourself in detail with the implementation and structure of existing in‑house software tools.
• You will contribute to the conceptual development and software implementation of methods for load processing and fatigue analysis for various applications of our large‑diameter bearings.

• Take an existing internal embedded development platform and port it to Zephyr RTOS as a proof-of-concept
• Create or extend lab setups involving various microcontrollers
• Explore the use of NPUs, DSPs, or other accelerators in RTOS-based systems

Working Student - AI Platform Engineering (m/f/d) (40-60%) About Corealis Corealis Consulting stands for the implementation of profound changes that start at the core of the organization. We create lasting impact through clear structure, substantial content and targeted empowerment. Our approach...

• 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.

• Model Research: Conduct research on possible AI models for our use case
• Data Preparation: Assist in curating and preparing datasets of from our database of known errors
• Model Training: Training and fine-tuning the AI agent, ensuring it learns how to accurately detect errors and suggest fixes

• Develop and optimize our job data crawling pipeline, ensuring high-quality job data acquisition.
• Implement and refine import mapping, improving data accuracy and classification.
• Support the integration of external data sources via APIs or scraping frameworks.