> Markdown version of [/jobs/ext/202126-senior-system-software-engineer-ai-for-chip](https://www.wearedevelopers.com/jobs/ext/202126-senior-system-software-engineer-ai-for-chip). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior System Software Engineer, AI for Chip... - **Company:** NVIDIA Ltd. - **Location:** Santa Clara, CA, United States - **Experience:** Expert - **Salary:** $184,000.0 - $287,500.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Very-Large-Scale Integration, Data Analysis, Computer Programming, Computer Engineering, Continuous Integration, Python (Programming Language), Machine Learning, Software Tools, Tensorflow, Software Engineering, Software Systems, System Software, Pytorch, Large Language Models, Deep Learning, Information Technology, Data Analytics, Vlsi Design, Virtual Agents, Software Version Control - **Published:** May 19, 2026 - **Apply:** https://www.juju.com/job/00000000g0fq44 ## About the Role + 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 (PyTorch, TensorFlow) and data-driven model development. + Strong problem-solving and collaboration skills, with the ability to translate complex design challenges into agent-driven solutions. Ways to stand out from the crowd: + Experience with Large Language Models (LLMs) and their applications in software and AI development + Proficiency in standard methodologies for software development, including version control, testing, and CI/CD. + Deeply interested in learning disparate concepts and putting them together in innovative new ways ## Description We are looking for talented Software Engineers to work on developing and deploying an AI agent that leverages machine learning models to solve complex problems in VLSI design. The ideal candidate will have a strong background in computer science, electrical engineering, or a related field, with experience in machine learning, deep learning, and software development. The successful candidate will work closely with our team of experts in VLSI design, machine learning, and software engineering to create and integrate machine learning-based solutions that enhance the efficiency, productivity, and quality of our VLSI design flows. What you will be doing: + 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. ## Related Videos - [Your Next AI Needs 10,000 GPUs. Now What?](https://www.wearedevelopers.com/videos/1590-your-next-ai-needs-10-000-gpus-now-what) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Developing an AI.SDK](https://www.wearedevelopers.com/videos/198-developing-an-ai-sdk) - [Building the Nervous System of AI - Michael Kagan (NVIDIA)](https://www.wearedevelopers.com/videos/2133-building-the-nervous-system-of-ai-michael-kagan-nvidia) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)