Anshul Chawla

Product Engineer

San Francisco, California, United States10 yrs experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in GPU acceleration and high-performance computing.
Ph.D. in Chemical Engineering with a strong research background.
Proven ability to build scalable engineering tools.

Stackforce AI infers this person is a High-Performance Computing and Scientific Simulation expert.

Contact

chawl029@umn.edu LinkedIn

Skills

Core Skills

High Performance Computing (hpc)C++Molecular DynamicsMathematical Modeling

Other Skills

CUDAAI-driven optimizationscalable visualizationengineering productivityGPU accelerationself-consistent field theorynumerical solvernon-linear partial differential equationsPythonChemical Vapor DepositionCarbon Nanotubesthermal conductivityGallium NitrideLead TellurideMATLAB

About

Hi! This is Anshul Chawla. I am a Staff R&D Engineer with 8+ years of experience in high-performance computing, C++/CUDA systems development, and scientific simulation at scale. Feel free to contact me at anshulchawla5896@gmail.com. At Synopsys, I work on advanced semiconductor design and AI-driven optimization platforms, building scalable visualization, tooling, and reusable infrastructure that improve performance, usability, and engineering productivity. My background combines deep technical work in GPU acceleration, software architecture, and cross-team collaboration with a strong focus on solving complex problems efficiently. I enjoy building systems that turn advanced algorithms into practical, high-impact tools for engineers.

Experience

10 yrs

Total Experience

2 yrs 2 mos

Average Tenure

3 yrs 8 mos

Current Experience

Synopsys inc

R&D Engineering, Staff Engineer

Oct 2022 – Present · 3 yrs 8 mos · Sunnyale, California, United States

CUDAC++AI-driven optimizationscalable visualizationengineering productivityHigh Performance Computing (HPC)

University of minnesota

3 roles

Graduate Teaching Assistant

Jan 2021 – May 2021 · 4 mos · Minneapolis, Minnesota, United States

Polymers (undergraduate course)

Graduate Teaching Assistant

Sep 2019 – Dec 2019 · 3 mos · Minneapolis, Minnesota, United States

Applied Maths (graduate course)

Graduate Research Assistant

Sep 2018 – Sep 2022 · 4 yrs · Minneapolis, Minnesota, United States

PIs: Frank Bates, Kevin Dorfman, and David Morse
Utilizing GPUs to accelerate self-consistent field theory (SCFT) calculations:
Accelerated the numerical solver for non-linear partial differential equations using GPUs. The program was written in C++ with GPU accelerated code in CUDA. Speed-ups of up to 120 times were achieved as compared to the previous CPU implementation.
Micellar phases formed in asymmetric diblock copolymers:
Classical coarse-grained molecular dynamics is being used to study the phase behavior of asymmetric diblock copolymer chains. The structural and dynamics of the phases are being studied using stand-alone programs in C++/python.

CUDAC++GPU accelerationself-consistent field theorynumerical solvernon-linear partial differential equations+1

Indian institute of technology, roorkee

Research Trainee

Aug 2017 – Dec 2017 · 4 mos · Roorkee, Uttarakhand, India

PI: Chandrajit Balomajumder
Synthesis of Carbon Nanotubes (CNT) using Chemical Vapor Deposition Method

Rwth aachen university

DAAD Research Fellow 2017

May 2017 – Jul 2017 · 2 mos · Aachen, North Rhine-Westphalia, Germany

PI: Ming Hu
Calculation of bulk thermal conductivity in Gallium Nitride (GaN) and Lead Telluride (PbTe) using molecular dynamics simulations.

Chemical Vapor DepositionCarbon Nanotubes

Indian institute of technology, kanpur

Research Assistant

May 2016 – Jul 2016 · 2 mos · Kanpur, Uttar Pradesh, India

PI: Viswanathan Shankar
Simulation of Heat Transfer in Semi-Transparent Materials: Mathematical modeling of heat transfer in semi-transparent materials (e.g. glass) was done and differential equations were numerically solved in MATLAB.

Indian institute of technology, roorkee

Research Trainee

Oct 2015 – Apr 2016 · 6 mos · Roorkee, Uttarakhand, India

PI: Gaurav Sharma
Hydrodynamic Stability Analysis of Newtonian Liquids Flowing over a Neo-Hookean Solid

MATLABmathematical modelingheat transfer

Electronics club, iit roorkee

Member

Oct 2015 – Mar 2016 · 5 mos · Roorkee, Uttarakhand, India

• Fertilizer Deep Placement (FDP) Technology Applicator: Fabricated a prototype machine to implement FDP technology aimed at helping farmers to spread fertilizer efficiently.