Posted in

GPU Design Verification Engineer

GPU Design Verification Engineer

CompanySamsung
LocationAustin, TX, USA
Salary$144345 – $257336
TypeFull-Time
DegreesBachelor’s, Master’s, PhD
Experience LevelExpert or higher

Requirements

  • 10+ years of experience with a Bachelor’s degree in Computer Science/Computer Engineering/relevant technical field, or 8+ years of experience with a Master’s degree, or 6+ years of experience with a PhD.
  • 5+ years of experience in GPU design verification or a related field.
  • Proficiency in SystemVerilog, UVM, and scripting languages (e.g., Python, Perl).
  • Strong understanding of GPU architecture, graphics pipelines, and parallel processing.
  • Experience with industry-standard verification tools and methodologies.
  • Excellent problem-solving and debugging skills.
  • Strong communication and interpersonal skills, with the ability to collaborate effectively in a team environment.

Responsibilities

  • Develop and execute comprehensive verification plans for GPU designs, including identifying verification goals, creating testbenches, and defining coverage metrics.
  • Design, develop, and maintain verification testbenches using languages such as SystemVerilog, UVM, and C++ to verify GPU functionality, performance, and power consumption.
  • Ensure comprehensive functional and performance coverage by creating complex test scenarios and test cases to validate GPU features, performance, and functionality.
  • Analyze results and debug complex GPU designs to identify and report bugs, and collaborate with design engineers to resolve issues.
  • Work closely with cross-functional teams, including design, architecture, and software teams, to ensure that verification efforts are aligned with project goals and requirements.
  • Participate in the development and improvement of verification methodologies, tools, and flows to increase efficiency and effectiveness of verification efforts.
  • Maintain accurate and up-to-date documentation of verification plans, testbenches, and results.

Preferred Qualifications

  • Experience with performance profiling and analysis
  • Hardware modeling experience
  • Knowledge of Graphics API: Vulcan, GLES, OpenCL