GPU Verification Engineer

Experience
-(5–10 Years)

Location:
Bengaluru

Role Overview

We are looking for a
GPU Verification Engineer
to verify next-generation Graphics Processing Units (GPU) and compute IPs powering AI, HPC, gaming, and data center platforms. You will be responsible for developing robust verification environments, driving coverage closure, and ensuring first-pass silicon success for complex GPU architectures.

Key Responsibilities
Verify GPU IP and subsystem functionality using SystemVerilog and UVM methodologies.
Develop scalable, reusable verification settings, testbenches, sequences, scoreboards, assertions, and functional coverage.
Understand GPU architecture, graphics pipelines, compute engines, memory hierarchy, cache coherence, scheduling, and interconnect protocols.
Perform block, subsystem, and SoC-level verification for graphics and compute workloads.
Develop directed and constrained-random test plans to achieve functional and code coverage closure.
Debug RTL, verification workplace,



and system-level failures using waveform analysis and simulation tools.
Collaborate closely with architecture, RTL design, firmware, performance, and validation teams throughout the development cycle.
Drive regression automation, verification sign-off, and quality metrics.

Required Qualifications
Bachelor's or Master's degree in Electronics, Computer Engineering, or related discipline.
5–10 years of experience in ASIC/SoC Design Verification.
Solid expertise in
SystemVerilog, UVM, and Assertions (SVA)
.
Solid understanding of digital design fundamentals, computer architecture, and verification methodologies.
Experience with verification planning, functional coverage, constrained-random verification, and debugging.

Technical Skills
Languages:
SystemVerilog, Verilog, C/C++, Python
Methodologies:
UVM, OVM (preferred), SVA, Functional Coverage
Protocols/Interfaces:
AXI, AHB, APB, NoC, PCIe, DDR, Cache Coherency
Tools:

📌 Gpu Verification Engineer Bengaluru (India)
🏢 leadsoc technologies
📍 India