OCTOML, INC. – $148,013.00/Year

Knowledge of advanced compiler optimization, specialized in deep learning compilers with graphlevel optimization, control flow analysis and its application in error detection, loop optimization and perforation in approximate highperformance computing; Knowledge of deep learning systems, with a focus on deep learningbased autotuning approaches to improve deep learning systems, building computer systems that allows automatical selfimprovement by learning from past experience; Knowledge of transistorlevel computer hardware, with focus on softwarebased approaches in illegal control flow detection and lightweight techniques to protect interprocedural control flow transfers for designing reliable systems; Knowledge of programming in C, Python, CUDA and OpenCL; Knowledge of implementing and optimizing linear and nonlinear algebra functions on specialized computer hardware; Knowledge of computer vision and optimizing computer vision models on CPU and GPUs; Knowledge of computer systems, focusing on how computer systems that execute programs, store information, and communicate, including the following machinelevel code and its generation by optimizing compilers, performance evaluation and optimization, computer arithmetic, memory organization and management, networking technology and protocols, and supporting concurrent computation; Knowledge of natural language processing and heteogenous compiler optimization techniques of natural language processing systems; Knowledge of hardwaresoftware codesign, mainly focusing on lowoverhead dynamic optimization of binary translation with lowlatency classification algorithms.br br Any suitable combination of education, training, or experience is acceptable. The months of experience listed in H.6A and H.10A do not apply to the required skills listed in this section. The employer will accept any level of knowledge or proficiency in the specific skills listed in this section.br br May work from the companys headquarter office in Seattle, WA or reside anywhere in the U.S. and work remotely from home. May work at other U.S. locations not presently known.