Summary
Overview
Work History
Education
Skills
Certification
Accomplishments
Timeline
Generic

Calvin Snyder

Albuquerque,NM

Summary

Module Development Engineer at Intel corporation. Top performer in Dry Etch at F21, have received stellar insights every quarter since I was hired. I have been promoted twice since May '22. First to grade 5 PE, then to Module Dev Eng last year. Top performer during undergraduate studies, received several awards including cash prizes. Possess a deep love for mathematics, statistics, and computation. Would like a computation/simulation role. Extremely interested in both numerical analysis and lithography. Pursuing a Master's degree in Computer Science with a focus on AI from Georgia Tech to round out education. Excited to combine my education in engineering, computer science, advanced statistics, and fab experience to be an asset to NM DMO OPC Engineering.

Overview

3
3
years of professional experience
1
1
Certification

Work History

Module Process Development Engineer

Intel
Albuquerque, NM
08.2023 - Current
  • Owned multiple new processes at the Rio Rancho fab. Over 150 process layers qualified. Process design included process path-finding, experimental design, analysis of results using TEM, SEM, AFM, etc. Designed and qualified all tool's process parameters for each layer.
  • Solved a L1TF related to photoresist bubbling that was a showstopper for multiple processes at F21.
  • Eliminated several Wet Layers in the P1243 SiP Midsection, saving millions of dollars in operation costs related to Wet consumables.
  • Co-Owned several FEB goals for P1243 with process integration related to new Ash tools. All FEB goals were met.
  • Developed process for P5051 at over 30 Ash layers. Worked closely with customer Fab to define and execute process goals despite lack of copy tool.
  • Owned NPI's and all module development work on five CEID's.

Module Process Engineer

Intel
Rio Rancho, NM
05.2022 - 08.2023
  • Re-qualified two one-of-a-kind semiconductor process tools in Rio Rancho. Convinced Intel management to use a different vendor than the historical vendor for the tool type. New tools ended up saving the fab over 8 million dollars a year in operating costs, with an 18 million dollar savings in capital expenditures.
  • Configured tool networks that interface with FAB infrastructure for automated material delivery and processing. Tools had broken infrastructure. Develop a SPEC for network configs on new tools in the fleet.
  • Tuned the tool's process, including PID tuning of valves and mass flow controllers.
  • Devised and installed safety equipment so that the tools could be maintained with LOTO. Developed all SPEC's for high volume manufacturing for all technician work.
  • Created SQL query's and automated scripts every day for pulling fab process data. Cleaned data so that actionable decisions could be made from vast amounts of fab data.
  • Participated in task forces to remove process roadblocks. Worked with multidisciplinary teams, managed stakeholders from upper management, and succeeded in layer design in all cases.

Process Engineering Intern

Intel
Albuquerque, NM
09.2021 - 05.2022
  • Completed end of life activities for 32nm logic fabrication. Updated all SPEC's and removed vulnerable IP from any non-essential sources.
  • Automated tool health monitoring for all module tools using scripts. Module was doing everything via technician labor prior. Required collaboration with metrology modules and automation engineers.
  • Created new statistical process control charts that highlighted process risks for module. Used the data to drive changes in the module that improved wafer quality.
  • Developed dashboards to track tool maintenance activities. Dashboards led to standardization across all day and night shifts and increased tool availability by an average of 10%.

Education

Bachelor of Science - Chemical Engineering

University of New Mexico
Albuquerque, NM
05.2022

Master of Science - Computer Science (3 / 30 Credits Complete))

Georgia Institute of Technology
Atlanta, GA

Skills

  • Mastery of Undergraduate Level OOP and DS&A
  • Python, Matlab, NET, Java, R, and JMP
  • Numpy/Pandas
  • Applied Engineering Statistics
  • Advanced Data Analysis
  • Ability to Self Teach any Technical Subject
  • Algorithm Implementation
  • Technical Writing and Presentation
  • Proven Ability to Deliver Results
  • Path-finding New Solutions for any Task
  • In Depth FAB Experience
  • Extreme Tolerance for Ambiguity; Able to Devise Technical Solutions from General Problem Statements
  • Model Based Problem Solving, Ability to Find Root Cause for Failures, and use Learnings to Foresee Vulnerabilities
  • KLayout/Redbook
  • Engineering Mindset

Certification

  • Certs - DS&A, OOP in Java, and Intro to OOP in Python, all from Georgia Tech
  • Kalman Filter Project - Implemented a Kalman filter (advanced bayesian filter for robotics).
  • Particle Filter Project - Implemented a particle filter (another advanced bayesian filter for robotics).
  • Completed grad class - Ai for Robotics(bayesian methods for Ai algorithms relating to robotics, Ga Tech.)
  • Completed grad class - Advanced Data Analysis (advanced statistical techniques for data analysis in R)
  • Completed grad class - Design Of Experiments for Chemical Engineers( advanced DOE techniques, including response surfaces, multiple linear and non-linear regression, etc).

Accomplishments

  • Graduated Cum Laude
  • Selected to be featured as an "Outstanding Engineer" for engineer's week by department manager
  • Very strong record of embodying intel values and excellent work ethic, ownership, and problem solving in my insights.
  • Multiple Technical Excellence Awards

Timeline

Module Process Development Engineer

Intel
08.2023 - Current

Module Process Engineer

Intel
05.2022 - 08.2023

Process Engineering Intern

Intel
09.2021 - 05.2022

Bachelor of Science - Chemical Engineering

University of New Mexico

Master of Science - Computer Science (3 / 30 Credits Complete))

Georgia Institute of Technology

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