KranthiVardhan Reddy Narra
CPU Design Verification Engineer @ Qualcomm
About
I am a Computer Engineering graduate student at Texas A&M University, specializing in RTL design and verification. My hands-on experience as a Design Verification Intern at Samsung SARC/ACL has sharpened my skills in: Developing and configuring test environments using SystemVerilog, UVM, and Perl Performing system-level debugging on complex semiconductor designs Integrating verification workflows with CI/CD pipelines using Jenkins Utilizing industry-standard EDA tools like Synopsys VCS and Verdi My academic projects showcase my expertise in computer architecture, cache design, and digital IC implementation. I've verified multicore MESI-based cache designs using UVM and enhanced cache performance through advanced replacement policies. With a background in software engineering from CAD Vision Engineers, I bring a unique blend of software and hardware knowledge to my verification work. I'm passionate about pushing the boundaries of semiconductor design verification and am actively seeking opportunities to contribute to cutting-edge projects in RTL design and verification roles. My technical skills include proficiency in Verilog, SystemVerilog, UVM, C/C++, Python, and Perl scripting. I'm well-versed in APB & AHB protocols, Jenkins CI/CD, Git, and various EDA tools from Synopsys and Cadence. I'm eager to apply my skills and knowledge to challenging roles in the semiconductor industry, particularly in RTL design and verification.
United States
College Station
Higher Education
Problem Solving, Verdi, VCS, Jenkins, Perl, Hardware Engineering, Real-time Rendering, Machine Learning, Performance Analysis, RISC-V, HW Design, MATLAB, C (Programming Language), Linux, ARM Architecture, Printed Circuit Board (PCB) Design, Signal Processing, Image Processing, FPGA prototyping, Python (Programming Language)
Experience
CPU Design Verification Engineer
Qualcomm
San Diego, California, United States
GPU RTL Design Verification Intern
Samsung Semiconductor
Austin, Texas, United States
• Managed resource scheduling and maintained detailed documentation while staying updated on GPU and System IP design verification methodologies for continuous infrastructure improvement. • Performed system-level debug to identify and resolve issues in the infrastructure by interacting with CAD, DV and front-end design teams. • Developed Perl script for continuous monitoring and analyzing performance bottlenecks focused on over memory and overtime failures integrating with Jenkins CI/CD. • Worked on exporting existing infrastructure for regression flows from internal to vender-based servers • Contributed to test environment setup, configuring hardware and software, including simulation tools (Verdi, VCS), testbenches, and custom scripts using Jenkins, SV, UVM, Make files.
Student Assistant
Department of Electrical and Computer Engineering at Texas A&M University
Austin, Texas, United States
ESET 462 Control Systems
Software Engineer
CADVision Engineers Private Limited
Hyderabad, Telangana, India
• Developed multi-threaded high-performance code in C++, design patterns, OOPS. Strong portfolio demonstrating programming and technical knowledge in 2D/3D visualization, OpenGL, Qt, VTK. • Independently developed a standalone application for visualization of SMLib geometric objects using OpenGL concepts of Graphics pipelining, VBO, VAO, display lists, tessellation and shaders. • Gained strong proficiency in C++, debugging tools, and Static Code Analysis in MS Visual Studio. Contributed to projects requiring Bug identification, recreation, debugging, and fixing. • Implemented automated unit testing framework using tools like Doc-Test, win-merge and had experience working with SW Agile SDLC process and tools (JIRA, Git, CMake, Bitbucket)
Education
Texas A&M University
Electrical and Computer Engineering
Fall 2023 : CSCE 614 - Computer Architecture ECEN 714 - Digital IC Design ECEN 687 - Introduction to VLSI Design Automation Spring 2024 : CSCE 714 - Adv Hardware Design Functional Verification ECEN 676 - Adv Computer Architecture CSCE 441 - Computer Graphics Spring 2025 CSCE 611 - Operating Systems CSCE 735 - Parallel Computing ECEN 740 - Machine Learning
National Institute of Technology, Andhra Pradesh
Electrical and Electronics Engineering
KranthiVardhan Reddy Narra's Contact Information
Phone
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