Embedded Machine Learning Engineer

As a deep-tech startup, we are looking for talented and passionate people with an appetite for problem solving. 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.

Responsibilities:

• 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.

Minimum Requirements:

• Experience with Tiny Machine Learning.
• Strong programming skills and substantial development experience in Python, and C, involving data structures, graphs, and object-oriented programming.
• Solid understanding of Machine Learning algorithms.
• Experience with embedded systems involving multicore environments and sensors.
• 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.
• Experience with DevOps and continuous integration & delivery tools (e.g., Gitlab).
• Understanding of Event-based Machine Learning or Neuromorphic algorithms.
• Experience working with Neuromorphic hardware (e.g., Loihi or SpiNNaker).
• Dr.-Ing., or PhD in Computer Science, Electrical Engineering, Computer Engineering, Physics, Mathematical sciences, or any other related computationally intensive field.
• Experience developing Computer vision applications with real-time sensor streams.

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.

Your contact: Hector Andres Gonzalez Diaz

Location: SpiNNcloud Systems GmbH, Freiberger Straße 37, 01067 Dresden