Senior System Software Engineer, AI for Chip Design

Nvidia

Remote

Quick summary

Work type
Remote
Location
Santa Clara, CAAustin, TX
Salary
$184,000–$287,500 / yr
Posted
5 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $205k
This role $236k
$154k most similar roles pay here $302k

This role pays more than 74% of similar roles. Most pay $172,500–$237,175 — the shaded band above. At the midpoint, this role pays about $236k versus about $205k 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 994 open roles on FindRole.

Listed pay typically runs $168,000–$270,250 across 977 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Senior System Software Engineer, AI for Chip Design

As a Senior Software Engineer on our cutting-edge team, you will develop an AI agent that integrates machine learning models to enhance VLSI design processes. Your daily tasks include creating and integrating AI agents to optimize efficiency and quality, collaborating on the design of algorithms and software tools for AI integration, analyzing data to inform AI-driven methodologies, and staying updated with advancements in ML and VLSI build. The role requires a strong background in computer science or electrical engineering, 6+ years of experience building AI systems, proficiency in Python and modern ML frameworks like PyTorch and TensorFlow, and expertise in software development methodologies including version control and CI/CD. Experience with Large Language Models and innovative problem-solving skills are highly valued.

What you'll do

  • Create and integrate AI agents to enhance efficiency and quality in VLSI design flows.
  • Design and implement algorithms that optimize VLSI design processes.
  • Develop software tools supporting the integration of AI in VLSI design.
  • Analyze data to inform the development of AI-driven design methodologies.
  • Stay updated on advancements in machine learning, deep learning, and VLSI build.

What we're looking for

  • BS/MS/PhD in Computer Science, Electrical Engineering, or related field with 6+ years of AI-driven software system experience.
  • Strong Python programming skills for developing production-quality systems.
  • Experience designing and applying AI agents to optimize complex processes using RL, planning, LLM-based approaches.
  • Proficiency with ML frameworks like PyTorch and TensorFlow for data-driven model development.
  • Expertise in software development methodologies including version control, testing, and CI/CD practices.

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