Help & Supportcareers@gravityer.com
Senior Product Development Engineer at NVIDIA | MBA at Santa Clara University | BSEE at University of California, Davis
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Experienced Product Development Engineer with a demonstrated history of working in the electrical and electronic manufacturing industry. Skilled in Microsoft Office, Linux working environment, Python and Shell Scripting, Public Speaking, Project Management, and Adobe Creative Suite. Strong engineering professional with a Bachelor of Science (B.S.) focused in Electrical and Electronics Engineering from University of California, Davis.
Santa Clara University
Master of Business Administration - MBA, Business Administration and Management, General
August 1, 2023 – September 1, 2025
University of California, Davis
Bachelor of Science (B.S.), Electrical and Electronics Engineering
January 1, 2012 – January 1, 2016
NVIDIA
Senior Product Development Engineer
January 1, 2024 – Present
Santa Clara, California, United States · On-site
Synopsys Inc
Senior Hardware Engineer
June 1, 2022 – January 1, 2024
Mountain View, California, United States
Cadence Design Systems
Lead Product Engineer
February 1, 2021 – May 1, 2022
San Francisco Bay Area
Cadence Design Systems
Product Engineer
August 1, 2019 – February 1, 2021
San Francisco Bay Area
Leotek Electronics USA LLC
Product Engineer
August 1, 2016 – July 1, 2019
San Jose, CA
UC Davis
Registrar Student Assistant
April 1, 2014 – April 1, 2015
Office of the University Registrar
Cultural Fit Analysis
The candidate's experience is heavily focused on hardware product development, manufacturing, and test engineering within the semiconductor industry (NVIDIA, Synopsys, Cadence). While there are mentions of data collection and analysis for process improvements, the core roles are not directly aligned with a typical Data Analyst profile. The MBA in Business Administration and Management suggests an interest in broader business applications, but the technical experience is very specialized. The lack of explicit data analysis projects or roles beyond process improvement suggests a potential gap in direct cultural fit for a dedicated Data Analyst position, which often requires strong statistical analysis, data modeling, and visualization skills.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills through extensive cross-functional work with various teams (HW/FW/SW engineering, contract manufacturers, procurement, design teams). Experience in leading and training CM representatives indicates leadership and mentoring capabilities. The ability to manage project schedules and optimize costs suggests strong organizational and operational management skills. Experience in customer interaction and problem-solving for product failures also highlights strong communication and analytical skills.