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英特尔 - Xeon Server SoC & Edge AI Platform Validation Architect
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Assessing your cultural and operational fit
10+ years of experience in Tech Sales/FAE, and Engineering with in-depth knowledge about software and system PnP/KPI validation of Intel server SoC and AI edge computing platform, Altera FPGA/SoC application and 3G/4G wireless communication system architecture. Specialties: PnP/KPI, Deep Learning, FPGA, ARM, DSP, x86, RISC-V, 3GPP RAN, Verilog, C/C++, Python, OpenVINO, Matlab, Simulink, SystemC+TLM2, PCIE/CXL protocol, Project management. sirwangjianghong@163.com
Northwestern Polytechnical University
Master's degree, Communication and information system
N/A – Present
Intel Corporation
Xeon Server SoC & Edge AI Platform Validation Architect
October 1, 2017 – Present
Intel Corporation
FPGA Embedded Specialist FAE & Software AE
December 1, 2015 – September 1, 2017
Altera
FPGA Product FAE/ Technical Sales
April 1, 2011 – November 1, 2015
Shenzhen, Guangdong, China
Nokia
LTE Wireless System Engineer
January 1, 2008 – January 1, 2011
Shanghai, Shanghai, China
ZTE Corporation
WCDMA Wireless Algorithm Engineer
January 1, 2006 – January 1, 2007
Shenzhen, Guangdong, China
Cultural Fit Analysis
The candidate has a strong background in hardware-centric roles (FPGA, SoC, wireless systems) and technical sales/support. While there's exposure to data modeling (MATLAB/ADS) and algorithm development, the direct alignment with a 'Data Analyst' role, which typically involves extensive work with databases, statistical analysis, visualization, and business intelligence tools, is not strong. The career trajectory has been primarily in engineering and technical sales within semiconductor and telecommunications industries, which may require a significant shift in focus for a pure data analyst position.
Soft Skills & Operational Fit
The candidate's experience as an FAE and validation architect suggests strong problem-solving, customer interaction, and technical leadership skills. The detailed descriptions of algorithm development imply analytical thinking and attention to detail. However, direct evidence of collaboration in a data analyst context is limited.