Senior AI Systems Engineer - VLSI & ML Agent Innovator

NVIDIA; Austin (TX); On-site; USD 184,000 - 357,000; Full time

Job summary

NVIDIA in Austin, TX, is seeking a seasoned Software Engineer to build and deploy AI agents that optimize VLSI design flows. You will collaborate with ML, VLSI, and software teams to deliver production-quality systems.

The role requires 6+ years in AI-driven software, strong Python, and experience with PyTorch or TensorFlow. You’ll stay on the cutting edge of ML methods and contribute to scalable toolchains.

Qualifications

• BS/MS/PhD in CS, EE, or a related field (or equivalent experience).
• 6+ years of experience building AI-driven software systems in engineering workflows.
• Strong Python programming for production-quality systems.
• Experience designing AI agents or learning-based decision systems (RL, planning, LLM-based).
• Proficiency with ML frameworks PyTorch and TensorFlow.
• Strong problem-solving and collaboration skills.

Responsibilities

• Create and integrate AI agents to enhance the efficiency, productivity, and quality of VLSI design flows.
• Collaborate on the design and implementation of algorithms and models that can optimize VLSI design processes.
• Contribute to the development of software tools and frameworks that support the integration of AI in VLSI design.
• Analyze and interpret data to identify patterns and insights that can inform the development of AI-driven design methodologies.
• Stay ahead of the latest advancements in machine learning, deep learning, and VLSI build to continuously improve our solutions.

Skills

Python

AI agents

RL & LLMs

PyTorch

TensorFlow

Education

BS/MS/PhD in CS/EE or related

Tools

PyTorch

TensorFlow

Job description

NVIDIA in Austin, TX, is seeking a seasoned Software Engineer to build and deploy AI agents that optimize VLSI design flows. You will collaborate with ML, VLSI, and software teams to deliver production-quality systems.

The role requires 6+ years in AI-driven software, strong Python, and experience with PyTorch or TensorFlow. You’ll stay on the cutting edge of ML methods and contribute to scalable toolchains.