GPU Design Verification Engineer – GPU ASICS Engineering
Company | Qualcomm |
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Location | Santa Clara, CA, USA |
Salary | $133400 – $200200 |
Type | Full-Time |
Degrees | Bachelor’s, Master’s, PhD |
Experience Level | Junior |
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.