Hardware Optimization Engineer

Redwood City, CA

Post Date: 06/07/2017 Job ID: 22828 Industry: Engineering
Category : Engineering
Location/City : CA - Redwood City
Area Code : 650
Job Type : 1: Full Time
Country/Locale :
Id : 22828

#22828 Hardware Optimization Engineer- Deep Learning StartupLocation: Redwood City, CA 94063Company:We are a deep learning based computer vision company that is focused on deep learning and building a software platform to run on compute constrained devices. We have developed breakthrough algorithms that allow us to run deep-learning based computer vision directly on embedded platforms without the need for cloud-connectivity, using the existing hardware and cameras that are already deployed in the world.Job Opportunity:We are looking for a Hardware Optimization Engineer to join this fast growing startup.Responsibilities:-Ensure our platform runs efficiently on a variety of modern hardware platforms-Implement our core computation kernels in an efficient way for architectures such as ARM CPUs, mobile GPUs, DSPs, as well as more exotic architectures-Develop a deep understanding of higher-level computer vision algorithms that differentiate our platformQualifications:-3+ years of industrial work experience-Expertise in C++ programming-Expertise in performance benchmarking, low-level assembly and intrinsic tuning-Experience with performance profiling and single-threaded optimization on x86, ARM, NEOR, CUDA, or DSP instruction sets-Experience working with numerical-based applications such as Machine Learning, Computer Vision, Computer Graphics-Experience developing large, complex codebases-Familiarity with version control tools such as GIT, CVS, SVN, etc.-Familiarity with project management tools such as BitBucket, Jira, etc.-BS in CS or related software field, MS or PhD preferredContact:Meredith Dean / Redfish TechnologyExecutive Recruiter, IT DivisionP: 206-605-0096E: meredith[at]redfishtech[dot]comL: www.linkedin.com/in/merdeanW: www.redfishtech.comRedfish Technology Building Growth-Mode Tech Companies with Hand-Picked Talent.


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