Job
- Level
- Experienced
- Job Field
- Data, Embedded
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 3.963 € Gross/Month
- Location
- Graz
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop innovative machine learning solutions, optimize models, and implement software for sensing and physics-based simulations on embedded platforms like Raspberry Pi and NVIDIA Jetson.
Job Technologies
Your role in the team
- 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.
- 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 with customers, academic partners and visitors as well as participation in industrial networks and technical expert committees.
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Our expectations of you
Education
- Master’s degree in Machine Learning, Artificial Intelligence, Physics, Data Science, Mathematics, or a related field.
- Grundlegendes Verständnis von Physik auf Universitätsniveau.
Qualifications
- Fluent in English, written and spoken.
Experience
- 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.
- 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.
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Benefits
Food & Drink
More net
Work-Life-Integration
Health, Fitness & Fun
Job Locations
Topics that you deal with on the job
This is your employer
Silicon Austria Labs GmbH
Graz, Altenberg Bei Linz
With Silicon Austria Labs (SAL), we are creating a top European research center for electronic systems. We have world-class research that creates the basis for innovative products and processes in cooperation with science and business.
Description
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Science, Research
Research Engineer - Machine Learning and HW Systems
- Salary
- from 3.963 € Gross/Month
- Location
- Graz
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
