Job
In this role, you will develop multimodal models for industrial applications, conduct research in robotics, and optimize learning methods for complex physical tasks while collaborating closely with research teams and industry partners.
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Job technologies
Your role in the team
- Forming our Physical AI research agenda and translating industrial needs into ambitious research questions and measurable outcomes.
- Developing and adapting multimodal foundation models, vision-language-action models and world models for industrial and embodied applications.
- Advancing reinforcement learning, imitation learning and agentic planning for complex, multi-step physical tasks.
- Designing efficient training and inference methods across GPU clusters, edge devices, on-premise infrastructure and cloud environments.
- Defining rigorous benchmarks for performance, safety, robustness and reliability, and validating solutions with Siemens business and technology teams.
- Leading scientific collaborations, mentoring researchers and representing Siemens through publications, patents and research partnerships.
Our expectations of you
Education
- A PhD in Computer Science, Machine Learning, Artificial Intelligence or a related field, or an outstanding Master's degree with an equivalent research track record.
Qualifications
- Excellent English communication skills and the ability to collaborate with researchers, engineers and business stakeholders.
Experience
- Several years of research experience in modern machine learning, including foundation models, multimodal learning, world models, generative AI or reinforcement learning.
- A strong publication record and hands-on experience training, fine-tuning and evaluating large models using Python and PyTorch and/or JAX.
- Experience turning research into working prototypes using real-world or industrial data, combined with strong software engineering practices.
- Experience in robot learning, autonomous systems, simulation, synthetic data, sim-to-real transfer, distributed or edge AI, 3D perception, sensor fusion or responsible AI.
- Experience acquiring publicly funded research projects, managing academic partnerships or contributing to open-source ML or robotics libraries.
What we offer
- The opportunity to shape Siemens' Physical AI research and translate scientific ideas into industrial impact.
- A global research network, access to real industrial challenges and room to define your own research direction.
- Flexible working hours, a hybrid working model and development opportunities along an expert or leadership track.
- The collective agreement for the Electrical and Electronics Industry applies to this position.
- The minimum annual gross salary for this position is EUR 63,000.00 (based on full-time employment).
- Depending on your qualifications and experience, an overpayment above the collective agreement minimum is envisaged.
Benefits
Food & drink
Health, fitness & fun
Topics you will work on
Job locations
About your employer
Völkermarkter Vorstadt, Graz, Weiz, Innsbruck, Salzburg, Wien, Linz
At Siemens Austria, we are proud to be one of the leading technology companies in the country. With over 12,500 employees (including our subsidiary companies), Siemens is one of the largest private employers in Austria. We offer our employees top-quality technology products and services, as well as a dynamic work environment that encourages creativity and innovation.
- 250+ Employees
- 2001
- Established Company
- Onsite, Hybrid, Full Remote
- Electronics, Automatization · Internet, IT, Telecommunication · Engineering Industry
Employer reviews
- Career growth
- 3.4
- Team culture
- 3.7
- Working conditions
- 4.2
- Engineering
- 2.9
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