Work closely with compiler, firmware and system architects to enable new ML use cases; Work closely with compiler and ML researchers to enhance Machine learning acceleration capabilities; Assist with performance/power analysis of machine learning models; Develop software tooling/methodologies for SW enablement/optimization on ML accelerators; Work with FPGA engineers and firmware teams to perform early prototyping
Requirements:
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience; 5+ years of experience as a ML Systems Engineer (or similar role); Experience in hardware-software co-design and performance modeling; Experience with Machine learning models, algorithms or accelerator architecture; Experience with at least 1 procedural programming language (C, C++, Python etc)
Text:
Machine Learning Systems Engineer Work closely with compiler, firmware and system architects to enable new ML use cases; Work closely with compiler and ML researchers to enhance Machine learning acceleration capabilities; Assist with performance/power analysis of machine learning models; Develop software tooling/methodologies for SW enablement/optimization on ML accelerators; Work with FPGA engineers and firmware teams to perform early prototyping Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience; 5+ years of experience as a ML Systems Engineer (or similar role); Experience in hardware-software co-design and performance modeling; Experience with Machine learning models, algorithms or accelerator architecture; Experience with at least 1 procedural programming language (C, C++, Python etc)
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