Staff Engineer

Samsung Electronics•San Jose, CA

14h

About The Position

Samsung, a world leader in advanced semiconductor technology, is founded on a simple philosophy – the endless pursuit of excellence will create a better world for all. At Samsung Austin Research and Development Center (SARC) and Advanced Computing Lab (ACL), we are building a center of excellence for Intellectual Property (IP) that is applied to high-performance computing devices (mobile, automotive, and other custom market segments) consumed by millions of people around the world. Come build with us! Role and Responsibilities Perform semiconductor engineering research, design, development, and testing for firm products and devices for use in the electronic communication industry. Act as Subject Matter Expert in many GPU or related semiconductor verification areas. Lead and develop verification plans based on Samsung’s GPU architecture specifications and design requirements. Define verification strategies, methodologies, and metrics to ensure thorough validation of the GPU functionality. Lead the development of advanced verification environments and testbenches using System Verilog and UVM (Universal Verification Methodology). Implement constrained random testing, coverage-driven verification, and assertion-based verification techniques. Solve challenging problems and ensuring comprehensive functional and performance coverage by creating complex test scenarios and test cases to validate GPU features, performance, and functionality. Identify and resolve design issues and performance bottlenecks. Drive cross-functional collaboration with design and software teams to analyze failures and implement corrective actions. Implement automation scripts and tools to streamline verification processes, improve efficiency, and reduce time-to-market. Drive teams to work towards verification closure by achieving coverage goals (functional coverage, code coverage, etc.) and sign-off criteria. Generate comprehensive verification reports and documentation.

Requirements

Minimum Requirements: Master's degree or foreign equivalent in Computer Science, Computer Engineering, or in a closely related field plus four (4) years of experience in a related occupation with each of the following: SystemVerilog; UVM; scripting languages including Python and Perl; GPU architecture, graphics pipelines, and parallel processing; industry standard verification tools (Synopsys VCS and Verdi) and methodologies (System Verilog and UVM (Universal Verification Methodology)); and debugging SoC verification process.
Alternate Requirements: Bachelor’s degree or foreign equivalent in Computer Science, Computer Engineering, or in a closely related field and six (6) years of experience in a related occupation with each of the following: SystemVerilog; UVM; scripting languages including Python and Perl; GPU architecture, graphics pipelines, and parallel processing; industry standard verification tools (Synopsys VCS and Verdi) and methodologies (System Verilog and UVM (Universal Verification Methodology)); and debugging SoC verification process.

Responsibilities

Perform semiconductor engineering research, design, development, and testing for firm products and devices for use in the electronic communication industry.
Act as Subject Matter Expert in many GPU or related semiconductor verification areas.
Lead and develop verification plans based on Samsung’s GPU architecture specifications and design requirements.
Define verification strategies, methodologies, and metrics to ensure thorough validation of the GPU functionality.
Lead the development of advanced verification environments and testbenches using System Verilog and UVM (Universal Verification Methodology).
Implement constrained random testing, coverage-driven verification, and assertion-based verification techniques.
Solve challenging problems and ensuring comprehensive functional and performance coverage by creating complex test scenarios and test cases to validate GPU features, performance, and functionality.
Identify and resolve design issues and performance bottlenecks.
Drive cross-functional collaboration with design and software teams to analyze failures and implement corrective actions.
Implement automation scripts and tools to streamline verification processes, improve efficiency, and reduce time-to-market.
Drive teams to work towards verification closure by achieving coverage goals (functional coverage, code coverage, etc.) and sign-off criteria.
Generate comprehensive verification reports and documentation.