Engineering supervisor állás, munka

• Create the vision, product strategy and roadmap for our products
• Engage customers and use their feedback to continually improve the product direction
• Develop and monitor KPIs for the success of the products in our platform

Design and implement a prototype that automatically generates firmware code from IP-XACT and ASIC specifications, pushing automation in embedded development...

• Design, develop, and integrate components for establishing trust (e.g. via SPIFFE) and securing network connections (e.g. mTLS, IPSec, Wireguard) in dynamic environments
• Leverage existing Open Source software to implement state of the art security features

You take strategic ownership of an AI Moderation Layer as a hardened platform service: define architecture standards, security policies, SLAs/SLOs, and ensure global scalability and integration with AI platform services.You design and lead a multi-layered defense strategy against jailbreaks, prompt...

• You will continuously develop and improve our booking app for Android and iOS.
• Working with Kotlin Multiplatform (KMP) and other modern frameworks will be part of your daily routine.
• You will work closely with other teams to find the best solutions.

• Design, build and maintain backend services with Kotlin and Java
• Work on our platform, optimizing for performance, scalability and stability
• Embrace the challenge and opportunity to design and implement systems that effectively bridge between the digital and physical worlds

Work closely directly with the CDO directly to design and run transformational programs from tech solutions to communication to training and everything else that is needed to get things done...

• You implement numerical simulation methods and their applications for large scale power systems.
• You develop high performance algorithms for dynamic simulation taking also advantage of hardware-based acceleration techniques such as FPGA or GPU.

• Design, develop, and implement platform solutions that enhance the reliability, security, and scalability of the AI Platform infrastructure.
• Provide technical leadership in cloud infrastructure, networking, CI/CD, and security for AI and MLOps workloads.

• Combine curiosity, fast understanding of business processes, and strong analytical skills to identify and implement impactful Data Science solutions
• Lead end-to-end development and operationalization of Machine Learning models within a team of experienced Data Scientists and Data Engineers