Systems Software Engineer

SpiNNcloud Systems; Dresden; Vor Ort; EUR 50.000 - 70.000; Vollzeit

Benefits dieser Stelle

Relocation benefits

Flexible work environment

Inclusive company culture

Zusammenfassung

SpiNNcloud Systems in Dresden is seeking a software developer specializing in Embedded Software and machine learning optimization. You will work on migrating software from SpiNNaker1, optimizing algorithms, and collaborating on innovative projects. A strong background in Python and networking is essential. We offer a competitive salary and a flexible, inclusive work environment, welcoming diverse candidates from various backgrounds.

Qualifikationen

• Good knowledge of host-to-server communication and networking protocols.
• Experience with large pre-existing codebases and adapting coding conventions.
• Active contributor in software development platforms like GitHub.

Aufgaben

• Migrate High-Level packages from the SpiNNaker1 software stack.
• Participate in planning and executing Embedded Software development.
• Optimize machine learning algorithms for performance and energy.
• Build compiler infrastructure for SpiNNcloud hardware.
• Design benchmarks measuring various performance metrics.

Kenntnisse

Flexibility and adaptability

Problem solving

Effective communication

Collaboration

Critical thinking

Programming in Python

Networking concepts

Ausbildung

BSc, MSc or Dipl.-Ing. in Computer Science, Electrical Engineering, or related field

PhD in relevant computationally intensive field (optional)

Tools

Git or SVN for version control

Continuous integration & delivery tools (e.g., Gitlab)

Jobbeschreibung

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.
• 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.

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.