Job Description
Looking for challenging role? If you really want to make a difference - make it with us
Can we energize society and fight climate change at the same time?
At Siemens Energy, we can. Our technology is key, but our people make the difference. Brilliant minds innovate. They connect, create, and keep us on track towards changing the world’s energy systems. Their spirit fuels our mission.
Our culture is defined by caring, agile, respectful, and accountable individuals. We value excellence of any kind. Sounds like you?
We are seeking an exceptional and visionary Principal AI Research Scientist to lead our research efforts in developing next-generation foundation models for power grid & substation applications. As a founding member of our new AI lab, you will play a pivotal role in defining our research agenda, driving innovation in algorithms, architectures, and methodologies for scaling AI models, and building and mentoring a world-class team. You will tackle fundamental research challenges with significant real-world impact, pushing the boundaries of AI to revolutionize the energy landscape and address critical challenges related to grid modernization, renewable energy acceleration and climate change mitigation.
This is a hands-on IC role that demands a strong research background and deep expertise in AI foundation models and ability to develop for creating transformational change.
Your new role – challenging and future-oriented:
- Conduct original, high-impact research in foundation models, specifically tailored for power grid data modalities and applications. Spearhead the development of novel deep learning architectures, algorithms, and training methodologies tailored for these.
- Deeply investigate and advance state-of-the-art research in relevant areas adapting and integrating methods and techniques from public research.
- Collaborate closely with AI engineers and domain experts to translate research breakthroughs into practical, scalable solutions deployable within real-world power grid systems.
- Build and mentor a high-performing research team, fostering a collaborative and innovative research culture within the newly formed AI lab.
- Drive rapid iteration and proof-of-concept (PoC) development to quickly validate research ideas.
- Effectively communicate research findings to both technical and non-technical audiences (via technical blogs or publications in conferences and journals), and represent the lab externally at conferences and industry events.
- Independently drive research projects forward, demonstrating strong initiative, problem-solving skills, and a results-oriented approach.
We don’t need superheroes, just super minds:
- Master's or Ph.D. in Computer Science, Electrical Engineering, Physics, Mathematics, or a related quantitative field, OR equivalent industry experience with a strong demonstrable research background in AI/ML.
- 7+ years of research experience in deep learning, machine learning, or related areas, with a focus on developing and scaling innovative AI solutions.
- Publications in top-tier AI conferences and journals
- Strong expertise and prior experience with building foundation models and other related concepts, with direct prior experience in at least one of the following highly desired - AI for Simulation/AI for Physics, GNNs, Transformers, Diffusion Models, etc.
- Proven ability to design, develop, and implement novel deep learning architectures and algorithms and experience scaling solutions involving large datasets and complex models, utilizing large compute clusters.
- Strong ability to work independently, rapidly iterate on ideas, and quickly develop and validate proof-of-concepts.
- Excellent communication, presentation, and teamwork skills, with the ability to lead and inspire a research team and collaborate effectively with diverse stakeholders.
Desired skills
- Contributions to open-source machine learning projects.
- Prior experience in a top AI research lab.
- Experience applying AI/ML to power systems, electrical grids, or related domains.
