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资深ASIC验证工程师 - GPU

雇主

NVIDIA

地点

Santa Clara · 美国

待遇

$面议

工作模式

混合

截止日期

1月10日

福利
equity, benefits

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岗位摘要

Seeking a Senior ASIC Verification Engineer to verify world-leading GPUs, focusing on unit-level ver

岗位职责

NVIDIA is seeking best-in-class
ASIC Verification Engineersto verify the world’s leading GPUs.
In this role, you will be doing unit level verification of the process scheduling and system interface hardware of the GPU.
This position will be working across many
NVIDIA teams from software, to architecture, design, methodology, and more.
The GPU is used in applications from consumer graphics, through self-driving cars, to artificial intelligence, all of which you will be involved in and learn about.
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 methodology for verifying the future of computing.
What you’ll be doing:
• Work on a unit level testbench, working on directed and random tests and test infrastructure, and contributing to the future direction of the methodology for the testbench • Partner closely with RTL and architecture teams to help refine the microarchitecture plans to ensure that changes to the design are verifiable • Architect and plan the verification strategy and execution for sub-system features impacting your unit • Support post-silicon validation activities • Harness cutting-edge AI to accelerate testbench development, task automation, debugging and problem-solving in a paradigm-shifting way What we need to see:
• BS or MS in electrical engineering or computer engineering or similar area (or equivalent experience) • 5
years of verification experience • Exposure to Computer Architecture,
ASIC design and verification methodology is required • Strong ability with SystemVerilog, test planning, coverage closure, and test bench design • Understanding of object oriented programming concepts • Strong communication skills.
• Ability and desire to work as a great teammate • Good debugging and problem solving skills Ways to stand out from the crowd:
• Experience with assertion-based verification, Semiformal Verification (SFV), Unified Verification Methodology (UVM), SystemVerilog checkers and scoreboards.
• Experience applying AI to solve problems or implementing agentic AI flows • Strong verification mindset and intuition • Leadership experience
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.
Do you want to work at the boundary of software, hardware, and forefront of technology?
Would you love the challenge of creating the highest performance chips in the industry?
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 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. Applications for this job will be accepted at least until September 27, 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.

申请条件

BS or MS in electrical engineering or computer engineering or similar area (or equivalent experience).
5+ years of verification experience.
Exposure to Computer Architecture, ASIC design and verification methodology is required.

雇主简介

NVIDIA is a technology company that designs GPUs and system-on-chip units for gaming, professional visualization, data centers, and automotive markets. The Physics Simulation Team focuses on physics simulation for robotics learning and evaluation.

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数据来源:NVIDIA

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