Research Associate / PhD Student / PostDoc (m/f/x)
Core
Develop and optimize large language models (LLMs) for deployment on the SpiNNaker2 massively parallel hardware architecture.
Role type
Research Associate / PhD Student / PostDoc in AI hardware deployment
Builds
Efficient GenAI models and reference architectures for European AI sovereignty
Domain
AI / Machine Learning / Hardware Systems / Compiler Technology
Deliverable
production ML models
Required skills
LLMs, C++, Python, ML compilers (MLIR), sparse computing, event-based computing
Preferred skills
compiler frameworks (LLVM), embedded software, accelerator architectures, parallel computing
Responsibilities
Scientific research in efficient language models, development and training of sparse GenAI models, implementation of model layers on SpiNNaker2, presentation and publication of results, collaboration in European project OptimAIse
