Develop and continuously enhance the OneCompiler toolchain, including the MLIR/IREE front end, intermediate representation (IR) transformations, and backend code generation Integrate compiler components into software products such as eIQ and ML SDKs Design optimization passes and hardware-specific lowering flows for efficient model execution Contribute to exploratory compiler initiatives such as training-graph ingestion, auto-tuning, heterogeneous scheduling, and runtime bindings Build and maintain model ingestion pipelines for PyTorch, ONNX, TensorFlow, and TFLite Collaborate closely with internal engineering teams and external partners to drive innovation across the compiler ecosystem Strong background in compiler design and modern ML compiler frameworks (e.g., MLIR/LLVM, TVM, IREE, XLA) Familiarity with model export workflows for PyTorch, ONNX, and TensorFlow Deep understanding of AI/ML models, quantization techniques, and hardware-aware optimizations Proficiency in C++ and Python, with experience implementing compiler passes or device backends Experience working with embedded or heterogeneous compute architectures (e.g., Cortex CPUs, NPUs, DSPs) Hands-on experience with IREE AOT compilation or its runtime is benefitical Experience developing new MLIR dialects is benefitical Fascinating, innovative environment in an international atmosphere Ihr Kontakt Referenznummer 860059/1 Kontakt aufnehmen Telefon:+ 49 621 1788-4297 E-Mail: positionen@hays.de Anstellungsart Freiberuflich für ein Projekt