ml-kernels jobs in San Diego

Staff-level ML software engineer responsible for designing, implementing, and optimizing machine learning software for embedded systems including mobile, edge, automotive, and IoT products. Will develop and optimize ML kernels, frameworks (TensorFlow, PyTorch), and compilers in C++/Python to leverage specific hardware features on ARM, DSP, and GPU processors.…See more Responsibilities include performance optimization, integration, testing, tool development, and close collaboration with hardware teams. Requires a Master's degree in EE/CS or related field plus 3+ years of relevant experience.

Staff-level machine learning software engineer responsible for designing, implementing, and optimizing ML software for embedded systems including mobile, edge, auto, and IoT products running on ARM, DSP, and GPU processors. Primary responsibilities include developing and optimizing ML kernels and frameworks (TensorFlow, PyTorch) for efficient hardware execution, implementing performance-critical software in C++/Python, and collaborating with hardware teams on joint design and optimization.…See more Will lead complex projects involving integration, testing, and tool development for embedded ML subsystems, coordinate cross-team dependencies, and contribute to design reviews and technical planning.