Daniel Reisman is an experienced Production Engineer at Wayve since July 2021, specializing in inference optimization for autonomous vehicle control models utilizing deep learning approaches and profiling on Nvidia GPUs and Jetson platforms. Prior to this role, Daniel served as a Software Engineer Sr Advisor at General Dynamics Information Technology, supporting operational monitoring of the NOAA Weather and Climate Operational Supercomputing System II. Daniel also worked as a Systems Engineer Advisor at CSRA Inc, where support for MPI, CUDA, and compiler toolchains on a 4600-node Slurm cluster was provided. Earlier experience includes a position as a Systems Development Engineer at Amazon Web Services, focusing on the Glacier archival storage system and related operational procedures. Daniel holds a Bachelor of Science degree in Computer Science from Rutgers University–New Brunswick.
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