Sandia
Albuquerque, NM, USA
What Your Job Will Be Like We are seeking a summer graduate student intern to help our team develop novel computing hardware and/or demonstrate accurate workloads on this hardware. Our team is developing analog in-memory computing hardware that can process several well-known classes of algorithms including neural networks, fast Fourier transforms and other signal processing kernels, and optimization kernels with very low energy and deploy them on power-constrained embedded systems. You will work on co-optimizing the microelectronic devices, circuits, and/or algorithms to ensure that the solutions from the analog hardware are accurate, reliable, and efficient. This may involve characterizing microelectronic circuits, arrays or individual non-volatile memory devices; developing and simulating new in-memory computing circuits; investigating radiation effects on electronics; and modeling the effect of device and circuit properties on algorithm accuracy. On any given day, you may...