below marketmost similar roles pay hereabove market
This role pays more than
88%
of similar roles. Most pay
$164,688–$223,000
— the blue band above.
At the midpoint, this role pays about
$236k
versus about
$194k
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
1472 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 1109 roles with salary data.
The Senior AI Systems Engineer, Chip Design joins a team of experts to develop and deploy an AI agent that leverages machine learning models to solve complex problems in VLSI design. The successful candidate will create and integrate AI agents to enhance the efficiency, productivity, and quality of VLSI design flows while collaborating on the design and implementation of algorithms that optimize design processes. Key responsibilities include contributing to software tools and frameworks that support AI integration and analyzing data to identify patterns for AI-driven design methodologies. Required skills include proficiency in Python, PyTorch, and TensorFlow, along with experience in deep learning, reinforcement learning, and LLM-based agents. The role focuses on applying these technologies to complex engineering workflows within the VLSI design domain.
Create and integrate AI agents to improve the efficiency and quality of VLSI design flows.
Design and implement algorithms and models to optimize complex VLSI design processes.
Develop software tools and frameworks that support the integration of AI into VLSI design.
Analyze and interpret data to identify patterns for developing AI-driven design methodologies.
Build production-quality AI-driven software systems using Python and modern ML frameworks.
Apply reinforcement learning, planning, or LLM-based agents to optimize engineering workflows.
Stay updated on the latest advancements in machine learning and deep learning to improve solutions.
What we're looking for
BS/MS/PhD in Computer Science, Electrical/Computer Engineering, or a related field (or equivalent experience).
6+ years of experience building AI-driven software systems, ideally applied to complex engineering workflows.
Strong programming skills in Python with experience developing production-quality systems.
Demonstrated experience designing and applying AI agents or learning-based decision systems (e.g., RL, planning, LLM-based agents) to optimize processes.
Proficiency with modern ML frameworks such as PyTorch and TensorFlow.
Strong problem-solving and collaboration skills to translate complex design challenges into agent-driven solutions.
Experience with Large Language Models (LLMs) and their applications in software and AI development (preferred).
Proficiency in standard software development methodologies, including version control, testing, and CI/CD (preferred).