Verify NVIDIA GPU ASIC designs across architecture, microarchitecture, and implementation using UVM-based methodologies. Develop testbench infrastructure, apply random stimulus, functional coverage, and assertion-based verification, debug simulations, and collaborate with architects, designers, and pre- and post-silicon verification teams. The role requires SystemVerilog, C++, simulation and debug tools, computer architecture knowledge, and strong analytical skills.
NVIDIA is seeking elite ASIC Verification Engineers to verify the design and implementation of the world’s leading GPUs. This position offers the opportunity to have real impact in a dynamic and technology-focused company, with your work influencing product lines ranging from consumer graphics to artificial intelligence. We have crafted a team of extraordinary people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing.
In this position, you will help to build the high-performance processor elements that implement programmable compute and graphics functionality.
What you'll be doing:
As a key member of our ASIC Verification team, you will:
- Verify the design and implementation of the industry's leading GPUs.
- Be responsible for verification of the ASIC design, architecture, golden models, and micro-architecture using advanced verification methodologies such as UVM or equivalent experience.
- Understand the design and implementation of your unit, define the verification scope, develop the verification infrastructure, and verify the correctness of the design.
- Collaborate with architects, designers, and pre-/post-silicon verification teams to accomplish your tasks.
What we need to see:
- Bachelor’s Degree in EE, CS, or CE; or equivalent experience.
- 5+ years of relevant experience.
- Background in verification using random stimulus, along with functional coverage and assertion-based verification methodologies.
- Experience with design and verification tools (VCS or equivalent simulation tools; debug tools like Debussy, GDB).
- Experience in crafting test bench environments for unit- and system-level verification.
- Expertise in SystemVerilog or similar HVL.
- C++ programming language experience, including a strong understanding of object-oriented programming principles, data structures, and algorithms.
- Good working knowledge of the fundamentals of computer architecture and digital design.
- Excellent debugging and analytical skills.
- Prior experience with processor pipeline verification is desirable.
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.You will also be eligible for equity and benefits.
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.Similar Jobs
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
Verify ASIC inference accelerator designs at block and SoC levels using advanced methodologies, random stimulus, functional coverage, assertions, and UVM. Develop verification infrastructure, debug designs, optimize automated flows, and collaborate with architects, designers, and pre- and post-silicon teams. Apply knowledge of ASIC design flow, power verification, DFT, netlist verification, and machine learning techniques to improve verification processes.
Top Skills:
AsicCC++DftGdsMachine LearningPerlPythonSystemverilogUniversal Verification Methodology (Uvm)UpfVcsVerdi
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
Verify ASIC designs and high-speed I/O controllers at IP, subsystem, and SoC levels using UVM and coverage-driven methodologies. Develop reusable models, monitors, checkers, scoreboards, test plans, tests, and verification infrastructure. Perform random-stimulus, functional-coverage, assertion-based verification and debugging while collaborating with architects, designers, and pre- and post-silicon teams. Relevant protocols include Ethernet, NVLink, USB, SATA, and CXL.
Top Skills:
AsicCxlEthernetNvlinkPerlPythonSataSystemverilogUsbUvm
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
Lead development and improvement of ASIC integration, build, simulation, CI, and debug infrastructure for high-speed IO GPU IP. Apply automation, metrics, and AI-assisted workflows to improve reliability, turnaround, and debuggability. Collaborate across design, verification, firmware, methodology, and infrastructure teams to root-cause failures and deliver durable process improvements.
Top Skills:
AsicCiDebug ToolsPerlPythonRtlSimulationSystemverilogUvmVcsVerdiVerilogXcelium
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
