Gaurav Sharma

Gaurav Sharma

GPU Shader Core ASIC Design & Verification Intern @ AMD

About

GPU Design Verification Engineer with end-to-end pre-silicon DV experience across industry and open-source GPU projects.At AMD, I designed and verified GPU shader core logic on next-generation RDNA SoCs — owning the full flow from RTL lint and CDC (SpyGlass) through synthesis (Synopsys DC), STA (PrimeTime), formal verification, and regression closure. I optimized decode logic reducing native build area by 13.7% and improved silicon bring-up stability across 3+ GPU generations.At the Vortex RISC-V GPGPU project (Georgia Tech), I built UVM environments from scratch with constrained-random stimulus, SVA assertions, and functional coverage models — driving regression closure to >95% on targeted GPU IP blocks in Cadence Xcelium.Core skills: SystemVerilog · UVM · SVA · Formal Verification (Jasper, Libra SEQ) · Constrained-Random Verification · Coverage Closure · CDC · STA · Timing Closure · GPU Microarchitecture · RISC-V · RTL Design · SpyGlass · Synopsys DC · PrimeTimeMS ECE, University of Washington (GPA: 3.90) | Teaching Assistant: GPU Hardware Design on FPGA for AIOpen to GPU DV, ASIC DV, and RTL Design roles at semiconductor companies.📧 grs9@uw.edu

Country

United States

City

Santa Clara

Industry

Information Technology & Services

Skill

GPU Microarchitecture, Universal Verification Methodology (UVM), RTL Design, Formal Verification, Physical Design, Static Timing Analysis, GPU , Perl, SystemVerilog, CUDA, Deep Learning, C++, Graphics Processing Unit, Wifi CSI, WiFi, Picoscenes, Intel CSI tool, IEEE 802.11, Localization, Wifi Sensing

Experience

AMD

GPU Shader Core ASIC Design & Verification Intern

AMD

LinkedIn
2025-5 - 2025-8 · 4 mos

Santa Clara, CA

University of Washington

Assistant TA

University of Washington

LinkedIn
2025-4 - 2025-6 · 3 mos

3DMLGPU: 3D Machine Learning with GPU Acceleration

University of Washington

Teaching Assistant

University of Washington

LinkedIn
2024-12 - 2025-3 · 4 mos

Seattle, Washington, United States

COURSE- EEP 538 MATRIX TO MACHINE: GPU HARDWARE DESIGN ON FPGA FOR AI

University of Washington

Student Researcher

University of Washington

LinkedIn
2024-5 - 2024-12 · 8 mos

Seattle, Washington, United States

Student Researcher at FunLabs under Professor Dr Sumit Roy.

Quadrant Technologies

Devops intern

Quadrant Technologies

LinkedIn
2024-8 - 2024-12 · 5 mos

Redmond, Washington, United States

Capgemini

Software Engineer Intern

Capgemini

LinkedIn
2024-6 - 2024-8 · 3 mos

Bellevue, Washington, United States

Amazon Lab126

Hardware Engineering Co-op

Amazon Lab126

LinkedIn
2024-1 - 2024-5 · 5 mos

Seattle, Washington, United States

-Involved in the project 'Home Presence Detection and Localization using Wi-Fi CSI' at Amazon Lab126, with the goal of creating a system that detects human presence in homes with a True Positive rate above 90%, utilizing Wi-Fi Channel State Information (CSI). -Tasked with the development of code for the collection, analysis, and preprocessing of CSI data. Hardware Lead for the ESP32 microcontroller implementation. -Responsible for algorithm design to localize individuals in relation to Wi-Fi access points or devices within a home, ensuring the system's effectiveness across diverse radio frequency environments.

IEEE Circuits and Systems Society (CASS)

IEEE CAS

IEEE Circuits and Systems Society (CASS)

LinkedIn
2019-12 - 2023-5 · 3 yrs 6 mos
airtel

Summer Internship

airtel

LinkedIn
2022-9 - 2022-10 · 2 mos

Mumbai, Maharashtra, India

◦ Designed a project on ‘Understanding Hadoop Installation and Big Data Technologies’. Adapted to Handloom Installation with components namely Apache Flume, Apache Spark, and Apache Hive. ◦ Contributed in creating a framework for accessing third parties and further performing onsite and remote assessments for them

Yuan-Ze University

Research Internship

Yuan-Ze University

LinkedIn
2022-5 - 2022-7 · 3 mos

◦ Compared the models in terms of short-term objective intelligibility (STOI) and perceptual evaluation of speech quality (PESQ) scores for Kalman Filter.

Arizona State University

Research Intern

Arizona State University

LinkedIn
2022-3 - 2022-6 · 4 mos

Remote

◦ Worked on Artificial Intelligence based self-driven car using CNN (Convolutional Neural Network), Monocular vision algorithm, Haar cascade classifier.

Siemens

Hardware Engineering Intern

Siemens

LinkedIn
2021-5 - 2021-6 · 2 mos

Mumbai Metropolitan Region

• Worked on Cadice and Multisim for designing Integrated Circuits • Created a final Working Hardware Based Protocol for assessing the Cement Plant increase Spinning Rate.

Education

University of Washington

University of Washington

LinkedIn

Electrical and computer Engineering

2023-9 - 2025-12 · 2 yrs 4 mos
Vellore Institute of Technology

Vellore Institute of Technology

LinkedIn

Electrical, Electronics and Communications Engineering

2019 - 2023 · 4 yrs
Pace Junior Science College

Pace Junior Science College

LinkedIn

Science

2017-5 - 2019-3 · 1 yr 11 mos

top 1 percent in Science stream of maharashtra state board

Yuan-Ze University

Yuan-Ze University

LinkedIn
2022-6 - 2022-9 · 4 mos
Udacity

Udacity

LinkedIn
2021-4 - 2021-8 · 5 mos

Gaurav Sharma's Contact Information

Email

******@***.com

Phone

(**) *** ****

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