ASIC Verification Engineer, Memory Management - New College Grad 2027

Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team! We are seeking a Verification Engineer - New College Graduate for our Memory Management Unit to verify the world’s leading GPUs. What you’ll be doing: 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, BFMs, 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: Pursuing or recently completed a BS or MS in Electrical Engineering, Computer Science, Computer Engineering or related field or equivalent experience Exposure to Computer Architecture, ASIC design and verification methodology is required Strong proficiency with SystemVerilog, 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. 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. Exposure to Universal Verification Methodology (UVM), SystemVerilog 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. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 100,000 USD - 166,750 USD for Level 1, and 116,000 USD - 189,750 USD for Level 2. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 2, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.