Job Description

Job ID

525030

Posted since

14-Oct-2026

Organization

Data & Artificial Intelligence

Field of work

Research & Development

Company

Siemens Aktiengesellschaft Oesterreich

Experience level

Experienced Professional

Job type

Full-time

Work mode

Office/Site only

Employment type

Permanent

Location(s)

• Vienna - Wien - Austria

To solve the biggest challenges of our time, we need bright minds with the ambition to make the impossible possible. Siemens is your place to thrive, challenge the status quo, make a difference and grow in a team of innovators who share your passion for technology. Are you in?

In our Distributed AI Systems research group in Vienna, we develop foundation models, world models and learning-based systems that bring AI into the physical world safely, reliably and at industrial scale. We are looking for a Senior Research Scientist who will shape how these technologies are developed, evaluated and deployed across edge, on-premise and cloud environments.

You'll make an impact by

• Shaping 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.

Your success is grounded in

• 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.
• 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.
• Excellent English communication skills and the ability to collaborate with researchers, engineers and business stakeholders.

You'll stand out with

• 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.

You'll benefit from

• 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.

Our offer

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.

Ready to unlock the full potential of Physical AI? Join us!

We value your unique identity and perspective and are fully committed to providing equitable opportunities and building an inclusive workplace where every voice is heard, and all our people are respected, valued and empowered to contribute fully. Come bring your authentic self and transform the everyday with us.

Protecting the environment, conserving our natural resources, fostering the health and performance of our people as well as safeguarding their working conditions are core to our social and business commitment at Siemens.