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Own the end-to-end validation of clocking structures for Tegra and GPU products, including test plan development and automation. Collaborate with architecture and design teams to identify bugs and ensure high-quality, bug-free clocking and reset logic.
Requires a BS or MS in EE/ECE with 3+ years of design verification experience and expertise in SV, UVM, and scripting languages. Candidates should have a strong understanding of logic design and experience with pre-silicon platform test plans.
NVIDIA’s Clocks team is looking for an experienced ASIC Design Verification engineer to join our team!
The NVIDIA Clocks Team is committed to deliver high-quality clocking and reset logic to various units in SOC and GPU ASIC. The complexity of the clocks and resets design has increased many folds. This requires sophisticated verification to deliver a bug free clocks design to power our product lines ranging from Data Centers, Consumer graphics to Self-driving cars and the growing field of artificial intelligence. Modern clocking verification solutions need to be innovative, ensure quality in covering the complex design specifications and balance the constraints on infrastructure, re-usability, testing speed and multi-platform support.
Own validation of Clocking structures in Tegra and GPU products from start to finish, including test plan development, automation, validation flows development, coverage metrics, test execution, bug identification/fix and productization.
Tackle Sophisticated problems and develop a scalable solution that works across platform.
Hands on industry-standard tools and state of the art verification methodologies. This includes coding in System Verilog, UVM, C++, Perl, Python and NVIDIA custom compilers and tools.
Partnering closely with our clocks architecture and design team to validate our clocks design.
Coordinate with internal and external teams across time zones.
BS or MS in EE/ECE or equivalent experience
3+ years of proven design verification experience
Good understanding of Logic Design and Architecture
Expertise in industry-standard verification flows like SV constraint random verification, UVM, Formal Verification, Coverage metrics, profiling tools, X prop, etc
Exposure on block level and system-level verification
Strong coding skills in System Verilog, scripting languages (Perl/python), and C++
Ability to collaborate and work with multiple groups
Prior experience in implementing Test plans for pre-silicon platforms
Previous experience automating tasks in the design verification process
Hands on experience in object-oriented programming
Prior design or verification experience at the IP or block level
Experience developing methodologies used by others
Demonstrated ability to drive a project to completion
We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you are creative, curious, and motivated with real passion for technology, we want to hear from you!
#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 116,000 USD - 189,750 USD for Level 2, and 136,000 USD - 218,500 USD for Level 3.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.Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.
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