
microTECH Global is a recruitment agency specializing in permanent and contract talent for the electronics, micro-electronics, semiconductor, automotive, data science, and AI sectors. They build strong partnerships with clients by understanding their needs to deliver tailored, cost-effective recruitment solutions. With expertise across the IT spectrum, they provide agility and precision to help businesses maintain the right balance of skills and resources. Their consultants cover roles in Micro-Electronics, Semiconductors, Manufacturing, BMS, and Technical IT, delivering top-tier talent globally.

microTECH Global is a recruitment agency specializing in permanent and contract talent for the electronics, micro-electronics, semiconductor, automotive, data science, and AI sectors. They build strong partnerships with clients by understanding their needs to deliver tailored, cost-effective recruitment solutions. With expertise across the IT spectrum, they provide agility and precision to help businesses maintain the right balance of skills and resources. Their consultants cover roles in Micro-Electronics, Semiconductors, Manufacturing, BMS, and Technical IT, delivering top-tier talent globally.
We are currently looking for Researchers for our new Computer Architecture Innovation Lab.
What You’ll Do:NPU-Centric Python Framework Design: Design smart cross-layer optimizations for compilers, runtimes, and frameworks (e.g., PyTorch, vLLM) to boost NPU efficiency. Work on automated model conversion, quantization, and adaptive deployment for NPU workloads.Compiler & Toolchain Innovation: Build and improve NPU-specific compiler stacks (LLVM/TVM/GCC) to turn high-level models into super-fast NPU instructions. Optimize scheduling, memory allocation, and parallel execution strategies.Hardware-Software Co-Design: Work closely with hardware teams to define NPU ISA extensions, microarchitecture features, and performance counters for maximum efficiency.Research & Ecosystem Leadership: Publish your work in top conferences (ISCA, ASPLOS, MLSys) and contribute to open-source projects. Help developers use NPU frameworks through tools, documentation, and partnerships.Who We’re Looking For:Master’s degree + 3 years of system software experience or fresh PhD graduates in Computer Science, Computer Engineering, or related fields.Strong knowledge of compiler frameworks (LLVM, GCC, TVM, XLA) and NPU/GPU architectures.Proficiency in Python and C/C++ for system-level programming.Familiarity with AI frameworks (PyTorch, TensorFlow) and model optimization is a plus.Experience with xPU/DSP toolchains is a plus.Excellent English communication skills