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高级智能网联汽车CAD工程师

雇主

NVIDIA

地点

远程 · Santa Clara · 美国

待遇

$面议

工作模式

远程

截止日期

1月6日

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岗位摘要

Seeking a Senior ICV CAD Engineer to support foundry techfiles, debug design errors, maintain CAD to

岗位职责

NVIDIA is searching for a motivated CAD Engineer to join the Advanced Technology Group.
You will support installation of foundry techfiles.
You will provide expert support to designers in debugging tool, techfile and design errors.
And you will develop flows and scripts to improve productivity of custom circuit designers worldwide!
A successful candidate will have solid EE or CS background with an understanding of circuits, layouts and
VLSI design.
We are looking for someone who enjoys working on groundbreaking process technologies.
A strong background in ICV and Perl is needed for this position.
The job involves both development and support.
Due to the support nature of this role, this candidate should possess good interpersonal skills.
What you'll be doing:
• Install, configure, and support foundry techfiles.
• Perform expert debug of design errors to direct expeditious resolution: explaining user errors to designers;
explaining techfile errors to the foundry support team, and explaining tool errors to EDA partners.
• Custom edit foundry techfiles to define and implement
NVIDIA design methodologies.
• We use a variety of standard off-the-shelf EDA tools at
NVIDIA.
You would be responsible for supporting and maintaining CAD tools used by IC designers including Virtuoso, IC-Manage,
DRC/LVS verification tools, extractions, and spice simulation tools.
• Work with CAD tool vendors to identify and resolve bugs, improve tool usability, and evaluate new tools and features.
• Develop infrastructure to support design work in new process technologies.
• Write scripts using perl and Cadence
SKILL What we need to see:
• B.S. in Electrical Engineering or Computer Science (or equivalent experience);
MS preferred • 5
years of work experience • A basic understanding of mosfet device behavior,
CMOS layout, and
VLSI design.
• Excellent programming skills;
experience with perl, Cadence
SKILL.
• Expertise in ICV in order to support, enhance, and debug foundry DRC and LVS techfiles.
• Being able to implement
NVIDIA specific DFM, DRC rules using ICV.
• Add
NVIDIA specific devices in the LVS deck using ICV.
• Great interpersonal skills • Passionate about providing excellent support for end-users.
NVIDIA has some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive 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.
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 October 6, 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

B.S.
in Electrical Engineering or Computer Science (or equivalent experience); M.S.
preferred.
5+ years of work experience.
Basic understanding of MOSFET device behavior, CMOS layout, and VLSI design.
Excellent programming skills with experience in Perl and Cadence SKILL.

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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