Job
- Level
- Senior
- Ort
- Wien
- Arbeitsmodell
- Onsite
- Job Feld
- Software, Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Gehalt
- ab 63.000 € Brutto/Jahr
Job Zusammenfassung
In dieser Position entwickelst du multimodale Modelle für industrielle Anwendungen, betreibst Forschung im Bereich der Robotik und optimierst Lernmethoden für komplexe physische Aufgaben. Du arbeitest eng mit Forschungsteams und Industriepartnern zusammen.
Job Technologien
Deine Rolle im Team
- 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.
Unsere Erwartungen an dich
Ausbildung
- 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.
Qualifikationen
- Excellent English communication skills and the ability to collaborate with researchers, engineers and business stakeholders.
Erfahrung
- 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.
Unser Angebot
- 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
Mehr Netto
- 👷♂️Zusatzversicherung
- 🚎Verkehrsmittel-Zuschuss
- 👴🏻Betr. Altersvorsorge
- 🍰Mitarbeiterbeteiligung
- 🏝️Urlaubs- und Weihnachtsgeld
Essen & Trinken
Gesundheit, Fitness & Fun
Work-Life-Integration
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Siemens AG Österreich
Völkermarkter Vorstadt, Graz, Weiz, Innsbruck, Salzburg, Wien, Linz
Die Siemens AG Österreich zählt zu den führenden Technologieunternehmen des Landes. Mit rund 12.500 Mitarbeitern ist Siemens (inkl. Tochterunternehmen) einer der größten privaten Arbeitgeber Österreichs und somit in vielerlei Hinsicht bestens aufgestellt, um Ihnen die optimale Beschäftigungsmöglichkeit anzubieten!
Description
- Unternehmensgröße
- 250+ Employees
- Gründungsjahr
- 2001
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Branche
- Elektronik, Automatisation, Internet, IT, Telekom, Maschinenbau, Anlagenbau
Arbeitgeber-Reviews
von devworkplaces.com
Gesamt
(2 Bewertungen)3.5
Career Growth
3.4Culture
3.7Workingconditions
4.2Engineering
2.9