Your job:
• Develop, optimize, and deploy machine learning models for embedded and edge devices
• Ensure real-time performance, memory efficiency, and low-power operation of on-device AI solutions
• Integrate ML algorithms with microcontrollers, embedded controllers, and edge computing platforms
• Implement pipelines for model conversion, quantization, and hardware acceleration
• Collaborate with software, controls, and hardware engineers to deliver production-grade embedded AI systems
• Participate in prototyping, testing, benchmarking, and continuous improvement of embedded AI solutions
• Work with the global research teams to translate concepts into scalable prototypes for industrial automation
Your qualification:

Festo is a global player and an independent family-owned company with headquarters in Esslingen am Neckar, Germany. Festo has set standards in industrial automation technology and technical education ever since its establishment, thereby making a contribution to sustainable development of the environment, the economy and society. The company supplies pneumatic and electrical automation technology to 300,000 customers of factory and process automation in over 35 industries. The LifeTech sector with medical technology and laboratory automation is becoming increasingly important. The products and services are available in 176 countries. With about 20,700 employees in over 250 branch offices in 61 countries worldwide, Festo achieved a turnover of around €3.36 billion in 2021. Each year around 7% of this turnover is invested in research and development. In this learning company, 1.5 % of turnover is invested in basic and further training. Festo Didactic SE is a leading provider of technical education and training and offers its customers worldwide comprehensive digital and physical learning solutions in the industrial environment.
Imprint:
https://corp.festo.com/en/imprint/index.html
Data privacy: https://www.festo.com/dataprivacy