GPU Design Verification Engineer, Senior
Qualcomm
Santa Clara, CA (In Person)
Full-Time
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Job Description
Architects, designs, implements, verifies, and optimizes performance and power of GPU cores. Responsible for verification of Graphics IP , and performing pre- and post-silicon verification to verify correctness and ensure performance and power goals are met. 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. Applies GPU knowledge and experience to architect, design, implement, verify, and/or optimize the performance and power of GPU cores. Builds functional model simulations, develops software, and tests for various graphics to verify correctness and ensures performance and power goals are met. Programs and runs graphics tests using tools and methods to assess functionality, performance, and power and identify issues. Collaborates with teams, third-party vendors, and external users to guide implementation and ensure alignment with needs and goals. Develops driver and compiler software to support GPU products. Writes detailed technical documentation and feature descriptions for GPU projects to guide users and/or customers to use or implement software. Works under supervision. Decision-making may affect work beyond immediate work group. Requires verbal and written communication skills to convey information. May require basic negotiation, influence, tact, etc. Has a moderate amount of influence over key organizational decisions. Tasks require multiple steps which can be performed in various orders; some planning, problem-solving, and prioritization must occur to complete the tasks effectively. Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience. OR Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 1+ year of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience. OR PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field. Master's degree or PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.
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