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: Work with Neuromorphic engineers, Machine Learning engineers, and Embedded software engineers across multiple teams to define, plan, and document on required features and capabilities for a unified hybrid software stack. Work with cross-functional teams to achieve the best utilization of hardware resources to achieve optimal energy and latency mappings of problems into SpiNNcloud hardware. Manage and execute intermediate proof-of-concept implementations and demos. Propose integration methods and strategies for complementing the existing software stack while ensuring efficient deployments. Contribute to the full characterization of SpiNNaker2-based single- and multi- chip systems from an application perspective. Define, design, and lead the development and testing of APIs to facilitate understanding between teams. Define benchmarks for the software stack, deriving tests to evaluate flows at different levels involving single- and multi- chip systems. Participate in the technical documentation of the results and exploration process across all experiments. Minimum Requirements: Strong programming skills in C and C++ with development experience in efficiency-driven models. Understanding of Instruction Set Architectures and low-level SoC concepts such as memory hierarchies, sockets, interrupts, multiprocessor deployment, and accelerators. Prior experience leading or implementing either complex software projects, automation pipelines or end-to-end systems. Interest in low-level programming and debugging. BSc, MSc or Dipl.-Ing. in Computer Science, Electrical Engineering, Computer Engineering, or any other related computationally intensive field. Added value: Programming knowledge in Python is desirable. Experience in software/hardware in the loop testing. Experience porting backends into open-source machine learning compiler frameworks such as Apache TVM or TensorFlow XLA. Experience with the LLVM compiler and toolchain. Experience with Agile Methodologies. 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