O

Oscar Law

CEO

San Diego, California, United States28 yrs 9 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in chip design and optimization techniques.
  • Authored multiple textbooks on AI and hardware design.
  • Led integration of deep learning in self-driving vehicles.
Stackforce AI infers this person is a highly skilled expert in semiconductor design and AI integration for automotive applications.

Contact

Skills

Core Skills

Machine Learning EngineeringArtificial IntelligenceMachine VisionDeep LearningPpa OptimizationNanotechnologyAnalog DesignDfm SupportDfm Rules Development3d-ic ArchitectureYield ImprovementPhysical Failure AnalysisSignal IntegrityPhysical DesignPower Distribution NetworkChip ImplementationStandard Cell DevelopmentMemory Compiler

Other Skills

Educational TechnologyASICSoCTiming ClosureVerilogVLSIICLow-power DesignCircuit DesignAnalogFailure AnalysisSimulationsSiliconSemiconductorsApplication-Specific Integrated Circuits (ASIC)

About

Work on the next generation Compute-in-Memory (CIM) architecture for Edge AI computing. Develop visual solutions for self-driving car. Write the textbook, "Artificial Intelligence Hardware Design: Challenges and Solutions", Wiley 2021, "Understanding Artificial Intelligence: Fundamentals and Applications", Wiley 2022, and "Introduction to ChatGPT", Amazon, 2023. Expert in chip design, from device, circuit, logic, system implementation, include physical verification, power analysis, signal integrity, performance power area (PPA) optimization and design for manufacturability/Yield (DFM/DFY).

Experience

28 yrs 9 mos
Total Experience
4 yrs 9 mos
Average Tenure
5 yrs
Current Experience

San diego state university

Instructor

Aug 2023Present · 2 yrs 10 mos · California, United States

  • Teach Machine Learning Engineering
  • Introduce the key AI technologies
  • Discuss different AI applications, including healthcare, finance, retail, manufacturing, agriculture, smart city, and government
  • Lab exercises covers ChatGPT, generative art, and object detection (software/hardware)
Educational TechnologyMachine Learning EngineeringArtificial Intelligence

Kneron

Director Of Engineering

Jun 2021Present · 5 yrs · San Diego County, California, United States

  • Work on machine vision and Integrate deep learning into the self-driving vehicles/drones
  • Develop an in-memory computing platform with the novel high-speed arithmetic approach
  • Co-author: Artificial Intelligent Hardware Design - Challenges and Solutions, published by Wiley in July 2021
  • Co-author: Understanding Artificial Intelligence: Fundamentals and Applications, published by Wiley in March 2022
Machine VisionDeep Learning

Qualcomm

Senior Staff Engineer

Aug 2012May 2021 · 8 yrs 9 mos · Greater San Diego Area

  • Work on nanotechnology development for process/design integration, focus on PPA and clock tree optimization
  • Develop analog DFM guideline for advanced FinFet design
  • Automate timing path analysis and support instance based IR drop/noise timing co-simulations
  • Reduce the overall SPICE runtime (> 100X) through fast parallel simulation approach
PPA OptimizationNanotechnology

Kapik integration

Consultant

Jan 2011Jan 2012 · 1 yr · Toronto, Canada Area

  • - Work on 40nm analog macro layout design with DFM support
Analog DesignDFM Support

Tsmc

Manager

Jan 2008Jan 2010 · 2 yrs · Hsinchu, Taiwan

  • Work on 28nm HKMG process Restricted Design Rules (RDR) and Design For Manufacturability (DFM) Rules development
  • Develop Layout Control Monitor (LCM) to identify HKMG Layout Dependent Effect (LDE) process/model issues
  • Develop innovative 3D-IC architecture using Through Silicon Via (TSV) approach and incorporate pseudo 3D IC flow into current SoC design
DFM Rules Development3D-IC Architecture

Amd

Senior Staff Engineer

Jan 2006Jan 2007 · 1 yr · Ontario, Canada

  • Promote DFY initiatives with LRC, CMP and CAA for yield improvement
  • Implement Defect Search Engine (DSE) to identify potential short/open location for Physical Failure Analysis (PFA) studies
Yield ImprovementPhysical Failure Analysis

Ati technologies inc.

4 roles

Senior Staff Engineer

Promoted

Jan 2001Jan 2006 · 5 yrs · Ontario, Canada

  • Establish chip integration team to focus on all signal integrity issues: crosstalk, electromigration and IR drop issues
  • Lead full chip sign-off projects to resolve all physical design issues before tapeout
  • Work on design migration projects for multiple foundry supports
Signal IntegrityPhysical Design

Staff Engineer

Jan 1999Jan 2001 · 2 yrs · Ontario, Canada

  • - Develop wirebond and flip chip Power Distribution Network (PDN) for chip implementation, include Redistribution Layer (RDL) design
Power Distribution NetworkChip Implementation

Senior Engineer

Promoted

Jan 1996Jan 1999 · 3 yrs · Ontario, Canada

  • Establish standard cell team to develop special cells, include gated clock latch, quad flop and ECO cell
  • Develop single/dual port memory compiler
Standard Cell DevelopmentMemory Compiler

Engineer

Jan 1995Jan 1996 · 1 yr · Ontario, Canada

  • - Implement Custom Own Tooling (COT) for physical design
Physical Design

Education

University of Toronto

Ph.D — Electrical and Computer Engineering

Jan 1991Jan 1995

McMaster University

Master of Engineering (M.Eng.) — Electrical and Computer Engineering

Jan 1987Jan 1990

McMaster University

Bachelor of Engineering (B.Eng.) — Electrical and Computer Engineering

Jan 1983Jan 1987

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