Senior Verification Engineer - CPU
NVIDIA is hiring a Senior Verification Engineer - CPU in Santa Clara, United States. It pays $196k-$311k a year and Level rates it ; you can apply on NVIDIA.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- Level classes it as a senior role.
- NVIDIA has 2,700+ other open roles on Level.
- Posted in the last few days.
AI in this role
We are now looking for a Senior Verification Engineer!
As a member of our CPU Verification Team, you will be responsible for a portion of the Design Verification, focusing on tasks such as testbench/scoreboard/stimulus development, regression debug, and coverage closure, supporting design, implementation, and system level validation/debug. This position offers you the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of outstanding 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’ll be doing:
Technical leadership role to define/plan/implement/execute performance verification strategy of sophisticated CPU designs
Ability to delve into lowest level details of CPU unit design specification, implementation and it's performance impact
Interactions with architect and design engineers to define detailed scope of micro architectural features
Draft detailed performance testplans
Define/Create scalable micros to validate features
Build infra/tooling needed for efficient performance correlation debug
Ability to lead and provide detailed technical guidance to junior engineers
Agility to work on multiple tasks/projects
What we need to see:
BS/MS or equivalent experience
12+ years of experience
Background with CPU micro architecture
Experience with workload analysis
Proficient of script language like Perl, Python
Working knowledge of C/C++
Good communication skills and ability & desire to work as a team player are a must
Ways to stand out from the crowd:
Experience leading performance validation of major blocks of CPU pipeline
Experience with ARM A64, X86 Architectures
With competitive salaries and a generous benefits package, we are 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 and, due to unprecedented growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.
#LI-Hyrbid
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:196,000 USD – 310,500 USD for Level 5; and 232,000 USD – 368,000 USD for Level 6.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 7, 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.How we rate this
Senior Verification Engineer - CPU at NVIDIA rates 11 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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