Senior Compiler 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:

  1. High flexibility and adaptability.
  2. Tranquility to work under pressure.
  3. Appetite for learning and problem solving.
  4. Critical thinking.
  5. Ability to communicate effectively.
  6. Keen to collaboration.
  7. Proper time management.
  8. Highly autodidact, independent and proactive.


  • Actively participate in the planning and execution of the compiler deployment of the 10 Million cores SpiNNcloud Machine.
  • Participate in the development of the neural network compiler for SpiNNaker2.
  • Merge the partition and configuration manager (PACMAN) for SpiNNaker with the machine learning graph compiler.
  • Work closely with the applications team to assess and optimize applications deployed at different hierarchy levels of the SpiNNcloud machine.
  • Participate in the inclusion of energy-based optimization methodologies into the neural network compiler.
  • Port the SpiNNaker software stack into common open source machine learning compiler frameworks.
  • Derive specifications to improve the hardware and software interaction within the SpiNNcloud machine.
  • Technical documentation of the results and exploration process across all experiments.

Minimum Requirements:

  • Solid understanding of low-level and intermediate representation (IR) for high-level optimization in neural network compilers.
  • Experience porting backends into open source machine learning compiler frameworks such as Apache TVM or TensorFlow XLA.
  • Strong programming skills and development experience in C and C++, involving data structures, graphs and object oriented programming.
  • More than 5 years of experience working with kernel optimizations, dataflow analysis, parallelization, scheduling or memory allocation.
  • BSc, MSc or Dipl.-Ing. in Computer Science, Electrical Engineering, Computer Engineering, or any other related computationally intensive field.

Added value:

  • Being an active contributor in Github or any other hosting software development with version control.
  • Programming knowledge in Python is desirable.
  • Experience with the SpiNNaker1 software stack is a significant differentiator.
  • Experience with energy estimation methodologies (e.g., Accelergy) for accelerators.
  • Experience with latency- and energy-based characterization tools (e.g., Timeloop) to define optimal mappings in large-scale architectures.
  • Experience with the LLVM compiler and toolchain.
  • Experience with Agile Methodologies.
  • Dr.-Ing., or PhD in Computer Science, Electrical Engineering, Computer Engineering, or any other related computationally intensive field.

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.

Job Category: Software
Job Type: Full Time
Job Location: Dresden

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