Senior Software Development Engineer - CAD Infrastructure

at Nvidia

📍 Santa Clara, United States

USD 168,000-310,500 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 4 Algorithms @ 7 GenAI @ 4 LLM @ 4 Python @ 4 QA @ 7

Details

NVIDIA is at the forefront of where AI meets VLSI, merging innovative technology with a legacy of innovation. Join the CAD team and play a pivotal role in developing and supporting tools integral to NVIDIA semiconductor products. This role involves advanced AI build platforms and working with a diverse and dynamic team.

Responsibilities

Architecting highly automated and customizable flows using software engineering with modular designs and object-oriented techniques.
Collaborating closely with team members to upscale methodologies for industry-leading chip builds.
Developing tools using C++ and Python, ensuring flawless integration and execution.
Engaging cross-discipline with VLSI organizations to identify and determine future challenges for successful implementation.

Requirements

8+ years of relevant work experience.
BE, BTech, or MTech in Computer Science, Electronics Engineering, Electrical Engineering, or equivalent experience.
Proven knowledge or experience with PnR flows and familiarity with Verilog, VLSI, and ASIC development principles, including logic cells.
Strong software engineering skills, including software design, algorithms, and QA.
Extensive experience in Python and C++ programming.
Knowledge of GenAI, LLM, and AI Code Generation is a plus.
Outstanding interpersonal skills to thrive in a collaborative environment.