Job
- Level
- Erfahren
- Ort
- Dresden
- Arbeitsmodell
- Onsite
- Job Feld
- Data, Embedded
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
Job Zusammenfassung
In dieser Position entwickelst du Embedded Software für die SpiNNcloud Maschine und optimierst maschinelles Lernen durch hardwarebezogene Anpassungen sowie Benchmark-Designs zur Bewertung von Leistung und Energieeffizienz.
Job Technologien
Deine Rolle im Team
- Actively participate in the planning and execution of the development of the Embedded Software in the 10 Million cores SpiNNcloud Machine.
- Explore energy and performance driven optimizations to machine learning algorithms.
- Develop hardware-aware optimizations for cutting edge ML algorithms.
- Build a robust and consistent compiler infrastructure for SpiNNcloud hardware.
- Design and implementation of benchmarks involving different metrics (e.g., Latency, Energy Efficiency, Energy-delay product, etc.).
- Contribute to the development and documentation of cool demonstrators.
Unsere Erwartungen an dich
Qualifikationen
- Besides the minimal requirements for this job position, your profile is a good fit to our company if you have the following values:
- High flexibility and adaptability.
- Tranquility to work under pressure.
- Appetite for learning and problem solving.
- Critical thinking.
- Ability to communicate effectively.
- Keen to collaboration.
- Proper time management.
- Highly autodidact, independent and proactive.
- Solid understanding of Machine Learning algorithms.
- Required expertise in development tools (e.g., git or svn) for revision control.
- BSc, MSc or Dipl.-Ing. in Computer Science, Electrical Engineering, Computer Engineering, or any other related computationally intensive field.
- Added value:
- Active contributor in Github or any other hosting for software development with version control.
- Understanding of Event-based Machine Learning or Neuromorphic algorithms.
- Dr.-Ing., or PhD in Computer Science, Electrical Engineering, Computer Engineering, Physics, Mathematical sciences, or any other related computationally intensive field.
Erfahrung
- Experience with Tiny Machine Learning.
- Strong programming skills and substantial development experience in Python, and C, involving data structures, graphs, and object-oriented programming.
- Experience with embedded systems involving multicore environments and sensors.
- Experience with DevOps and continuous integration & delivery tools (e.g., Gitlab).
- Experience working with Neuromorphic hardware (e.g., Loihi or SpiNNaker).
- Experience developing Computer vision applications with real-time sensor streams.
Unser Angebot
- We offer a highly competitive salary with reallocation benefits in a flexible and inclusive work environment.
- We are an equal opportunity employer, and hence we welcome people of different backgrounds, nationalities, and experiences.
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
SpiNNcloud Systems GmbH
Die SpiNNcloud Systems GmbH, ein innovatives Deep-Tech-Unternehmen aus Dresden, hat sich auf die Entwicklung neuromorpher Rechnerarchitekturen und skalierbarer Computersysteme fokussiert. Als Ausgründung der Technischen Universität Dresden bietet das Unternehmen Lösungen für die energieeffiziente Verarbeitung von KI und wissenschaftliche Anwendungen.
Description
- Unternehmenstyp
- Startup
- Arbeitsmodell
- Onsite
- Branche
- Elektronik, Automatisation
Embedded Machine Learning Engineer
- Ort
- Dresden
- Arbeitsmodell
- Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
