NVIDIA is seeking a hardworking Senior ASIC Design Verification Engineer to help drive sign-off strategies for world's leading GPUs and SoCs. This position offers you an outstanding opportunity to influence performance of the next generation GPU and SoC, allowing you to have real impact in a multifaceted, technology-focused company with product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence!
We have crafted a team of highly motivated 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.
What you will be doing:
Work as part of Global Circuits Team to develop various innovative IPs for hardware security, clocking, voltage regulation and silicon correlation.
Own the unit and sub-system level verification of various IPs, create functional test plans, and verify using advanced verification tools, flows and methodologies.
Build and reform world class verification infrastructure and methodologies to meet the unique demands of custom designed IPs.
Engage in design specification development by participating in discussions on architecture, intent, and implementation of the various IPs.
Enable system level integration by working with partner teams for test development & debug and delivering Verification IPs.
What we need to see:
BSEE (or equivalent experience) with 8+ years' experience in unit level or sub-system level verification or MS preferred in Electrical, Computer Engineering with 6+ years’ experience in unit level or sub-system level verification.
Proficiency with Object Oriented Programming, System Verilog, Verilog, UVM, SVA and Functional Coverage.
Strong skills with VCS or equivalent simulation tools like Questa is required.
Strong debugging and analytical skills are required.
Have a continuous improvement mentality and passionate about delivering bug-free first silicon.
Strong interpersonal skills and ability to work with on-site and remote teams is a plus.
Ways to stand out from the crowd:
Experience in verification using random stimulus along with functional coverage and assertion-based verification methodologies is a huge plus.
Strong knowledge or work experience in Mixed signal and custom designed IPs solutions.
Good understanding of behavioral real number modeling and low level digital or mixed signal design concepts.
Strong knowledge or work experience in co-simulation environments such as VCS-XA or equivalent tools, Gate Level Simulation or Formal Equivalence domains.
Proficiency in scripting language, such as, Perl, Tcl, Make files and automation methods/algorithms a certain plus.
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We welcome you join our team with some of the most hard-working people in the world working together to promote rapid growth. Are you passionate about becoming a part of a best-in-class team supporting the latest in GPU and AI technology? If so, 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 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5.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 a diverse 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.Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
