Systems Software Engineer

About Us

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.
• Highly autodidact, independent and proactive.

Responsibilities

• Contribute to the migration of the High-Level packages from the SpiNNaker1 software stack.
• 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.

Qualifications

• Strong programming skills and substantial development experience in Python, involving object-oriented programming, data structures, graphs.
• Experience in working with large pre-existing codebases, adapting to existing styling and coding conventions.
• Good knowledge of networking concepts such as host-to-server communication, packet exchange mechanisms, routing techniques and encapsulation protocols.
• 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.
• Knowledge of graph theory with a focus on computational graphs and partitioning algorithms.
• Experience with Spiking Neural Network models.
• Experience in bare-metal Embedded Software Development.
• 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.

Offer

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.