Research Engineer - Machine learning and HW-Systems (all genders) // Job-ID: 236-1
Silicon Austria Labs (SAL)Austria1 day ago
Full-timeEngineering, Information Technology
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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
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 (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.
About Us
Silicon Austria Labs (SAL) is a top research center for Electronics and Software Based Systems (ESBS) . At three locations (Graz, Villach, Linz), SAL is conducting research along the entire ESBS value chain in the areas of sensor systems, power electronics, intelligent wireless systems, microsystems and embedded systems to develop future-oriented solutions for industrial production, health, energy, mobility, safety and more. SAL brings together key players from industry, science and research and thus valuable expertise and know-how and conducts cooperative, application-oriented research along the value chain. Cooperative projects are co-financed by SAL and enable a fast and unbureaucratic project start. SAL is thus shaping the high-tech location Austria and Europe and developing the future
Innovation is our top priority and so are our employees. We are a family-friendly company and support the compatibility of work and family as much as possible. That is why we have been awarded the Work and Family Certificate until 2026. But we are constantly working on new measures to offer our employees an environment where they feel good, healthy and motivated.
You want to get more SAL insights ?
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
- 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
About Us
Silicon Austria Labs (SAL) is a top research center for Electronics and Software Based Systems (ESBS) . At three locations (Graz, Villach, Linz), SAL is conducting research along the entire ESBS value chain in the areas of sensor systems, power electronics, intelligent wireless systems, microsystems and embedded systems to develop future-oriented solutions for industrial production, health, energy, mobility, safety and more. SAL brings together key players from industry, science and research and thus valuable expertise and know-how and conducts cooperative, application-oriented research along the value chain. Cooperative projects are co-financed by SAL and enable a fast and unbureaucratic project start. SAL is thus shaping the high-tech location Austria and Europe and developing the future
Innovation is our top priority and so are our employees. We are a family-friendly company and support the compatibility of work and family as much as possible. That is why we have been awarded the Work and Family Certificate until 2026. But we are constantly working on new measures to offer our employees an environment where they feel good, healthy and motivated.
You want to get more SAL insights ?
Key Skills
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