Research Engineer - Machine Learning and HW-Systems

Your future responsibilities

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. 

In this role, you will 

• Implement and further develop machine learning solutions in the areas of virtual sensing and physics-based AI
• Translate scientific concepts and research ideas into robust, maintainable, and efficient software implementations
• Develop, optimize, and refactor machine learning models and existing codebases
• Perform data analysis, processing, and visualization to support research and development activities
• Deploy, test, and validate ML models on embedded and edge platforms (e.g. NVIDIA Jetson, Raspberry Pi)
• Work closely with researchers to develop reliable and usable software and hardware prototypes
• Support the design and construction of software and hardware demonstrators, including simple sensor and measurement setups
• Contribute to and extend open-source simulation software
• Improve development and execution workflows to ensure stable, efficient, and reproducible systems
• Support project acquisition activities, e.g. by contributing technical expertise and concept development
• Contribute to project management tasks
• Support networking and collaboration activities, including communications witth customers, academic partners and visitors as well as participation in industrial networks and technical espert committees

Your Leadership responsibilities

Your Scientific responsibilities

Your profile

• 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

Important Facts about SAL

• Diverse research activities with many technical challenges.
• State-of-the-art laboratory facilities and equipment. 
• Location in the heart of Europe in Austria 
• 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”) 
• Our values: Open door policy, flexibility in working hours, casual dress code, diverse teams, working with people of different nationalities, informal communication, lifelong learning, compatibility of family and career, sustainability, personal growth, and collective advancement.

This position is subject to the Collective Agreement for employees in non-university research (Research CA) starting in occupational group E. We offer competitive salaries and additional benefits based on your experience and qualifications. For this position, your minimum monthly salary starts with EUR 3.963, paid 14 times a year.

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