As a member of our verification team, you'll understand the design & implementation with focus on Memory Management unit, define the verification scope, develop the verification infrastructure (Testbenches, BF - Ms, Checkers, Monitors), implement test/coverage plans, and verify the correctness of the design. Collaborate with architects, designers, software engineers across sites to accomplish your goals. Plan and work on strategic direction of the methodology for the testbench with advance methodology. What we need to see:You have Bachelors or Masters Degree in Electrical Engineering or Computer Science or Computer Engineering or equivalent experience. Exposure to Computer Architecture, ASIC design and verification methodology is required. Strong ability with System. Verilog, C and/or C , test planning, coverage closure, and creating reusable verification components. Knowledgeable in constrained random testing with functional coverage and assertion-based verification. Understanding of object oriented programming concepts. Exposure to simulation tools like VCS, IES and debug tools like Debussy, GDB. Strong interpersonal skills. Good debugging and problem solving skills. Ways to stand out from the crowd:Understanding of memory subsystem micro-architecture, cache topologies and policies, memory management, interconnects, and/or arbiter designs is a huge plus. Experience with Universal Verification Methodology (UVM), System. Verilog checkers and scoreboards. Assertion-based verification, Semiformal Verification (SFV). Perl or Python knowledge. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? Do you love the challenge of crafting the highest performance & lowest power silicon possible? If so, we want to hear from you. Come join our GPU ASIC Verification team and help us build future architectures that will continue to drive us forward in the fields of High Performance Computing, Graphics and AI.