Senior Software Development Engineer - CAD Infrastructure

Nvidia

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $168,000–$264,500 / yr
Posted: 38 days ago

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Competitive pay

How this pay compares to similar roles

Similar $192k

This role $216k

$138k most similar roles pay here $278k

This role pays more than 61% of similar roles. Most pay $162,373–$222,000 — the shaded band above. At the midpoint, this role pays about $216k versus about $192k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 563 open roles on FindRole.

Listed pay typically runs $168,000–$264,500 across 556 roles with salary data.

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At a glance

TL;DR · Senior Software Development Engineer - CAD Infrastructure

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Join NVIDIA’s CAD team as a senior software engineer where you will architect highly automated and customizable flows using modular designs and object-oriented techniques. You’ll collaborate closely with diverse teams to upscale methodologies for industry-leading chip builds, developing tools in C++ and Python that ensure flawless integration and execution. Engaging cross-discipline with VLSI organizations, you will identify future challenges and drive successful implementation. Ideal candidates have a BE/BTech/MTech in Computer Science or related fields, extensive experience in PnR flows, Verilog, VLSI, and ASIC development principles, along with strong software engineering skills including Python and C++. Knowledge of GenAI, LLMs, and AI code generation is beneficial.

Skills

Python C++ Verilog VLSI ASIC PnR_flows GenAI LLM AI_Code_Generation

What you'll do

Architect automated and customizable flows using modular designs and object-oriented techniques.
Develop tools with C++ and Python for flawless integration and execution in semiconductor products.
Upscale methodologies for industry-leading chip builds by collaborating closely with team members.
Identify future challenges and determine successful implementation strategies across VLSI organizations.
Utilize strong software engineering skills, including design, algorithms, and QA processes.

What we're looking for

Bachelor’s or Master’s degree in Computer Science, Electronics Engineering, Electrical Engineering, or equivalent.
Proven experience with PnR flows and familiarity with Verilog, VLSI, and ASIC development principles.
Strong software engineering background including design, algorithms, and QA practices.
Extensive programming skills in Python and C++.
Knowledge of GenAI, LLM, and AI Code Generation preferred.
Excellent interpersonal and collaboration skills for cross-discipline teamwork.

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