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GPU Design Verification Engineer

Published Date: January 08, 2026
Prodapt, San Jose, CA
Job Description:

Prodapt is a global technology leader in the Connectedness industry, specializing in consulting, business transformation, and managed services for telecom and tech enterprises. With a focus on ASIC Services, Prodapt offers comprehensive solutions in SoC ASIC/FPGA and Embedded Software, including turnkey solutions and staff augmentation. The company is recognized as a 'Great Place To Work® Certified™' and employs over 6,000 experts across 30+ countries, being part of the Jhaver Group, a 130-year-old conglomerate.

Responsibilities:

  • Develop and execute comprehensive verification plans for GPU designs, defining verification goals, test strategies, and coverage metrics.
  • Design, develop, and maintain verification testbenches and environments using SystemVerilog, UVM, and C++ for GPU functionality and performance verification.
  • Create complex test scenarios and test cases for comprehensive functional and performance coverage of GPU features.
  • Analyze simulation and regression results, debug GPU designs, identify root causes, and collaborate with design and architecture engineers for bug resolution.
  • Work with cross-functional teams to align verification efforts with project milestones and product requirements.
  • Maintain accurate documentation for verification plans, testbenches, test cases, and results.

Qualifications:

  • Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field; or equivalent practical experience.
  • 10+ years of industry experience with a Bachelor’s, 8+ years with a Master’s, or 6+ years with a PhD in ASIC/SoC/GPU/CPU development.
  • 5+ years of hands-on experience in GPU/CPU design verification or related IP/subsystem verification.

Skills:

  • Strong proficiency in SystemVerilog and UVM for verification.
  • Experience with industry-standard verification tools and simulators (e.g., VCS, Xcelium, Questa, Verdi).
  • Proficiency in scripting languages such as Python and Perl for automation and data analysis.
  • Strong debugging and root-cause analysis skills.
  • Excellent communication and interpersonal skills for effective collaboration.

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