Master Thesis in Exploring Deployment Optimizations towards HW/SW Codesign - remote possible
Company:
Location:Germany
Languages:English
Skills:
PythonSoftware DevelopmentEmbedded SystemsImage ProcessingMachine LearningPyTorchC++AlgorithmsData StructuresTensorflowCI/CDRESTful APIsLinux
Requirements:
Master studies in Electrical Engineering, Computer Science, or comparable. Strong experience in Python/C++. Experience with neural network compiler TVM. Basic hardware knowledge. Knowledge of Deep Learning Concepts. Experience with Linux. Experience with LaTeX.
Responsibilities:
Conduct literature research on NN deployment optimization strategies. Evaluate related work for HW/SW codesign interaction. Investigate, evaluate, and optimize NN deployment methods and compiler tool stacks. Implement solutions in PyTorch and evaluate them in simulations. Document and discuss results.
