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 (Academic Research)
Builds
Efficient GenAI models and software stacks for SpiNNaker2 hardware (via careerplan.io/jobs/10001-1003783420-S-research-associate-phd-student-postdoc-mfx-at-technische-universitat-dresden-arbeitsstatte)
Domain
AI/ML, Hardware-Software Co-design, VLSI Systems
Deliverable
production ML models
Required skills
LLMs, C++, Python, ML compilers (MLIR), sparse computing, parallel computing
Preferred skills
Compiler frameworks (LLVM), embedded software, accelerator architectures
Responsibilities
Scientific research in efficient language models, development and training of sparse GenAI models, implementation of models on SpiNNaker2 using ML compilers, presentation and publication of research results, collaboration in European project OptimAIse
