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Tier-1 employer and Hyderabad metro increase candidate density despite niche GPU DV specialization.
Specialized GPU DV, UVM/SystemVerilog and hardware verification skills limit cross-industry transferability.
Explicit UVM/SystemVerilog, C++/scripting requirements and degree-year minima make shortlisting highly strict.
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Own the development and maintenance of subsystem level test benches for GPU workload compliance and benchmark qualification/sign-off.
Develop and manage debug/checker frameworks comparing C-Model versus RTL in C++ and maintain functional verification environments using UVM/SystemVerilog.
Automate regression testing, runtime optimization, database management, bug triage using Perl/Python/shell scripting; deploy AI agents/frameworks to enhance verification tasks like regression, debug, coverage, and tracking.
Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field with at least 4 years of Hardware Engineering or related experience; OR Master's degree with 3+ years; OR PhD with 2+ years experience.
Experience in developing or maintaining GPU or comparable hardware verification test benches and frameworks.
Proficient in C++, UVM/SystemVerilog based constrained random testbench development, and scripting languages such as Perl, Python, or shell for automation.
Work Experience Required: Minimum 2 years with PhD, 3 years with Master’s, or 4 years with Bachelor’s in relevant fields.
Experienced in hardware verification with emphasis on GPU or related graphics subsystem compliance and workload validation.
Technically skilled in verification methodologies including UVM, constrained random testing, and RTL vs. model comparisons, with automation expertise.
Comfortable integrating AI-driven tools into verification flows to improve productivity and coverage tracking.