Job
- Level
- Senior
- Job Feld
- Software, Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Nürnberg
- Arbeitsmodell
- Onsite
Job Zusammenfassung
In diesem Job entwickelst du innovative Algorithmen für Energiespeichersysteme, leitest ein Expertenteam, führst Technologieanalysen durch und integrierst Software- und Hardwarelösungen zur Optimierung von Leistung und Sicherheit.
Job Technologien
Deine Rolle im Team
- Digital Power is a business unit within our client's organization that provides Enterprise & Industry customers, products and solutions like clean power generation, transportation electrification, site power facilities, data center facilities, and embedded power.
- Digital Power is committed to integrate Digital and Power Electronics technologies to provide customers with high-quality, energy-efficient, green, and low-carbon power electronics products, facilitating their business success.
- The Power Conversion Technology Laboratory within Nuremberg Research Center is responsible for Advanced Digital Power Technology Research, Architecture Evolution Design and Strategic Technology Planning, and plays an important role in the Digital Power business in the design and development of power converters and control systems for applications such as PV Solar & Battery Energy Storage Field, Data Centers, Electric Vehicle, and Embedded Power Supply.
- We are looking for an Energy Storage System Algorithm Expert to join our team in the digital energy field, Nuremberg, Germany.
- The successful candidate will be responsible for providing insights and planning for energy storage algorithm technologies, algorithm research and design, technology development, and architecture maintenance.
- You will lead a team of experts to design the algorithm functions of the digital energy storage system and provide corresponding software and hardware design guidance solutions.
- You will also define the key capabilities of device-cloud constructive interaction in the energy storage system and optimize the performance, cost, and security.
- Develop insights and planning for energy storage algorithm technologies, algorithm research and design, technology development, and architecture maintenance in the digital energy field.
- Lead a team of experts to design the algorithm functions of the digital energy storage system and provide corresponding software and hardware design guidance solutions.
- Define the key capabilities of device-cloud constructive interaction in the energy storage system and optimize the performance, cost, and security.
- Work with cross-functional teams to integrate software and hardware solutions to ensure that energy storage systems are highly dependable, scalable, and secure.
- Research and develop big data algorithms for the energy storage system and design cloud diagnosis and analysis platforms.
- Monitor industry trends and stay up to date with the latest energy storage technologies.
Unsere Erwartungen an dich
Ausbildung
- Min. master's degree in electrical engineering, Computer Science, or related field.
Qualifikationen
- Solid knowledge of the energy storage system and be familiar with the battery mechanism, application scenarios of the energy storage system, and microgrid.
- Proficient in any programming language of Python, Matlab, R, C/C++, and Java.
- Proficient in any mainstream frameworks such as TensorFlow, Caffe, MX Net, and Scikit-Learn.
Erfahrung
- 5+ years of experience and strong foundation in algorithm R&D and engineering development.
- Experience in batch products or implementation is preferred.
Benefits
Work-Life-Integration
Mehr Netto
Gesundheit, Fitness & Fun
Themen mit denen du dich im Job beschäftigst
Job Standorte
Mehr zur Recruiting Agentur
Antal International
Antal International, gegründet 1993 in London, ist ein führendes Unternehmen in der Talentvermittlung mit einer starken globalen Präsenz und über 130 Niederlassungen.
Description
- Unternehmenstyp
- Recruiting Agentur
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Branche
- Personaldienstleistung
Energy Storage System Algorithm Expert
- Ort
- Nürnberg
- Arbeitsmodell
- Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
