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GPU Design Verification Engineer – GPU ASICS Engineering

GPU Design Verification Engineer – GPU ASICS Engineering

CompanyQualcomm
LocationSanta Clara, CA, USA
Salary$133400 – $200200
TypeFull-Time
DegreesBachelor’s, Master’s, PhD
Experience LevelJunior

Requirements

  • Bachelor’s degree in Computer Engineering, Computer Science, Electrical Engineering, or related field.

Responsibilities

  • Owning and executing on key independent tasks towards program requirements
  • Using verbal and written communication skills to convey basic, routine factual information about day-to-day activities to others who are fully knowledgeable in the subject area.
  • Working within prescribed timeline requirements and resource constraints
  • Applying independent creative thought to troubleshoot technical problems or deal with novel circumstances.
  • Research through available resources and engagement with various inter-disciplinary teams
  • Using deductive problem solving to solve moderately complex problems; most problems have defined processes of diagnosis/detection; some limited data analysis may be required.
  • Applies Graphics knowledge and experience to architect, design, implement, and verify the structure and performance of GPU hardware, drivers, features, applications, and tools.
  • Creates and maintains verification test benches and environments in System Verilog/UVM
  • Create and leverage advanced testing frameworks to generate and recreate real-world system integration conditions
  • Collaborates with Architecture, Software, Firmware, Design, Modeling, Emulation and Post-silicon validation teams to define and develop test methodology and content
  • Participate in GPU architecture, micro-architecture reviews
  • Collect, organize and execute various forms of system level test content including directed testcases, gaming benchmarks, standards compliance testsuites, and system level scenarios
  • Build automation for continue integration and testing based on latest GPU IP
  • Help collect and analyze test results using straightforward statistics and data predictions to track benchmarks and identify issues
  • Works with team members to understand and align on narrow scope of feature development and meet targets.
  • Write technical documentation and feature descriptions for straightforward projects under the direction of a supervisor.

Preferred Qualifications

  • Master’s degree or PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.
  • 1+ year of relevant GPU experience.
  • 1+ year of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.