Job
- Level
- Experienced
- Location
- Dresden
- Working Model
- Onsite
- Job Field
- Data, Embedded
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you will develop embedded software for the SpiNNcloud machine and optimize machine learning through hardware-aware adjustments and benchmark designs to evaluate performance and energy efficiency.
Job Technologies
Your role in the 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.
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Our expectations of you
Qualifications
- Besides the minimal requirements for this job position, your profile is a good fit for our company if you have the following values:
- Hohe Flexibilität und Anpassungsfähigkeit.
- Gelassenheit, um unter Druck zu arbeiten.
- Appetite for learning and problem solving.
- Critical thinking.
- Ability to communicate effectively.
- Eager to collaborate.
- Proper time management.
- Highly autodidactic, independent, and proactive.
- Solid understanding of Machine Learning algorithms.
- Erforderliche Erfahrung mit Entwicklungstools (z. B. git oder svn) für Versionskontrolle.
- BSc, MSc or Dipl.-Ing. in Computer Science, Electrical Engineering, Computer Engineering, or any other related computationally intensive field.
- Added value:
- Active contributor on Github or any other hosting platform 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.
Experience
- 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.
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What we offer
- We offer a highly competitive salary with relocation 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.
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Topics You Will Work On
Job Locations
About Your Employer
SpiNNcloud Systems GmbH
SpiNNcloud Systems GmbH, an innovative deep-tech company based in Dresden, focuses on the development of neuromorphic computing architectures and scalable computer systems. As a spin-off from the Technical University of Dresden, the company provides solutions for energy-efficient AI processing and scientific applications.
Description
- Company Type
- Startup
- Working Model
- Onsite
- Industry
- Electronics, Automatization
Embedded Machine Learning Engineer
- Location
- Dresden
- Working Model
- Onsite
- Diversity
- Open for all genders
