George Yan

Software Engineer

Ottawa, Ontario, Canada0 mo experience

Key Highlights

  • Proficient in ASIC design and verification processes.
  • Hands-on experience with FPGA development and machine learning.
  • Skilled in utilizing advanced verification tools and methodologies.
Stackforce AI infers this person is a skilled ASIC and FPGA engineer with a focus on verification and design.

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Skills

Core Skills

Asic DesignAsic VerificationFpga Development

Other Skills

Power AnalysisPCIE EmulationAnalog ModelingDPI filesUVM methodologySynopsys DVEVerdi toolsLinux systemsP4Bit BucketCatapult high-level synthesisPythonFPGA acceleratormachine learningconvolutional neural network

Experience

0 mo
Total Experience
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Average Tenure
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Current Experience

Synopsys inc

2 roles

ASIC Design Engineer

May 2025Present · 1 yr 1 mo · Ottawa, Ontario, Canada · On-site

  • UALink Power Analysis
  • PCIE Emulation
Power AnalysisPCIE EmulationASIC Design

ASIC Design Engineer Intern

Jan 2024Aug 2024 · 7 mos · Ottawa, Ontario, Canada

  • E224 Analog Modeling
Analog ModelingASIC Design

Infinera

ASIC Verification Engineer Intern

Jan 2023Aug 2023 · 7 mos · Ottawa, Ontario, Canada

  • Employed DPI files to establish a connected comparison between RTL design and C models. Leveraged UVM methodology to perform comprehensive verification tasks.
  • Worked with various modules including gearboxes with clock domain crossing, bus reorganization, and frame manipulation. Developed a strong understanding of these modules’ functionalities and verification requirements.
  • Successfully executed gearbox verification tasks without c model using PRBS checker. Demonstrated proficiency in ensuring the integrity and reliability of gearboxes.
  • Utilized Synopsys DVE and Verdi tools for verification and coverage. Worked with Linux systems for running simulations and compiling code, used P4 and Bit Bucket to access and update design files.
  • Acquired hands-on experience with Catapult high-level synthesis tool and completed tutorials and practical labs, demonstrating a solid grasp of high-level synthesis concepts.
  • Implemented automated scripts using Python to streamline repetitive tasks and displayed register tables in HTML with hyperlinks.
DPI filesUVM methodologySynopsys DVEVerdi toolsLinux systemsP4+4

Electrical and computer engineering, university of alberta @ualberta

FPGA Research Assistant

May 2022Aug 2022 · 3 mos · Edmonton, Alberta, Canada

  • Built a FPGA accelerator and various prototyping projects while assisted with machine learning acceleration and stochastic computation research.
  • Developed a convolutional neural network in Python for image classification, as foundation for future acceleration.
  • Exposed to ASIC design flow, gained solid knowledge of design, synthesis and verification process.
  • Developed strong academic writing skills, wrote a detailed research report on all design projects done in the lab.
FPGA acceleratormachine learningconvolutional neural networkASIC design flowFPGA Development

Education

University of Alberta

Bachelor of Science - BS — Computer Engineering

Sep 2020Apr 2025

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