+ BS/MS/PhD in Electrical Engineering, Computer Engineering, Computer Science, or related field. + 6+ years of experience in embedded systems software development. + Strong proficiency in C/C++ for embedded platforms. + Strong proficiency in Python for tooling, automation, or ML workflows. + Experience deploying machine learning models to resource-constrained systems. + Solid understanding of neural network fundamentals and internals + Experience with machine learning frameworks such as TensorFlow or PyTorch. + Experience optimizing performance, memory footprint, and power consumption on embedded targets.
Qualifications
• Experience developing inference runtimes, model translation tools, or code generation systems. • Experience with CMSIS-NN or other embedded ML acceleration libraries. • Experience optimizing quantized neural networks for embedded systems using SIMD/DSP acceler...