Applied AI Engineer - Silicon Co-Design Group

Overview

• NVIDIA’s Silicon Co‑Design Group is seeking an AI/LLM Engineer to innovate, develop, and integrate sophisticated artificial intelligence solutions into our design and automation infrastructure.
• In this role, you will architect and implement solutions that enhance the efficiency, scalability, and intelligence of our workflows.
• The ideal candidate combines deep technical expertise with hands‑on experience, driving AI initiatives from concept to deployment.
• At NVIDIA, we strive for perfection, encourage innovation, and provide opportunities to explore new ways to succeed! What you'll be doing: Designing and implementing AI/LLM-powered systems to improve automation, design verification, and workflow efficiency, specifically tailored to semiconductor design.
• Collaborating with multi-functional engineering teams to find opportunities for AI integration and performance optimization.
• Evaluating new frameworks, architectures, and tools to improve efficiencies powered by artificial intelligence across the organization.
• Tracking and measuring AI impact through data‑driven metrics to continuously refine solutions.
• What we need to see: M.S.
• or equivalent experience in CS/EE/CE or related field with 7+ years of development experience, with at least 4 years focused on AI/ML, LLMs, or generative AI and/or 7+ years training and deploying ML models in production.
• Strong proficiency in Python and at least one static language (C, C++, C#, Java, Scala, etc).
• Expertise in deep learning frameworks (PyTorch or TensorFlow) as well as agentic frameworks (NAT, Semantic Kernel, AutoGen, CrewAI, LangSmith, n8n, etc).
• Experience with building and deploying orchestration agents capable of managing hundreds to thousands of tools.
• Ability to balance multiple simultaneous projects.
• Excellent problem-solving, communication, and collaboration skills.
• Ways to stand out from the crowd: Experience with EDA, semiconductor workflows, or design automation systems.
• Publications or open-source contributions demonstrating deep expertise in LLMs or AI infrastructure.
• Familiarity with modern AI technologies and methodologies for building and deploying LLMs.
• Proven track record of leading multi-disciplinary teams to deploy large scale products and features.
• Ability to translate innovative AI research into practical, high-impact production tools.
• NVIDIA is widely considered to be one of the world's most desirable employers in the technology field.
• We have some of the most forward-thinking and hardworking people in the world working for us.
• If you're creative and autonomous, we want to hear from you!.