Research Engineer - Machine learning and HW-Systems (all genders) // Job-ID: 236-1

We are looking for a highly motivated Research Engineer to join our interdisciplinary team and contribute to innovative research and development at the intersection of machine learning, physics-based simulation, and hardware systems.

Requirements

• Master's degree in Machine Learning, Artificial Intelligence, Physics, Data Science, Mathematics, or a related field
• Strong programming skills in Python; experience with PyTorch is highly desirable; knowledge of Fortran is a plus
• Experience with programming and version control systems (e.g. Git)
• Hands-on experience implementing machine learning models, workflows, and/or data analysis pipelines
• Basic understanding of physics at university level
• Experience deploying ML models on edge devices (e.g. Raspberry Pi, NVIDIA Jetson) is an advantage
• Experience with multiphysics software such as Ansys or open-source alternatives is beneficial
• Hands-on experience in assembling hardware prototypes is a plus
• Fluent in English, written and spoken

Benefits

• Internal and external training opportunities for career development
• Home office in Austria (max. 40%) and work from anywhere in the European Union possible (< 25%)
• Family & children friendly - actively shaping the compatibility of family and career
• “Vital4SAL” to promote a healthy workplace (e.g. SAL coaching pool, trainings on mental health, physical activities, healthy snacks, 24/7 accident insurance)
• € 4 per day meal allowance in restaurants or € 2 per working day in supermarkets
• Public transport initiative (subsidy for the “Klimaticket”)