Applied AI Engineer - Silicon Co-Design Group

Job Title

Applied AI Engineer - Silicon Co-Design Group

Role Summary

The Applied AI Engineer will design, implement, and deploy AI/LLM-powered systems to improve post-silicon validation, automation, and workflow efficiency within NVIDIA's Silicon Co-Design Group. The role partners with cross-functional engineering teams to integrate AI into chip design and validation infrastructure and to drive projects from prototype to production.

Experience Level

Senior — requires substantial hands-on experience with building and deploying ML/AI systems and owning applied AI projects end-to-end.

Responsibilities

Primary responsibilities focus on applying AI to semiconductor validation and automation workflows.

• Design and implement AI/LLM-powered systems to improve post-silicon validation, automation, and workflow efficiency.
• Collaborate with multi-functional engineering teams to identify opportunities for AI integration and performance optimization.
• Evaluate emerging AI frameworks, architectures, and tools and recommend adoption to improve efficiency.
• Develop and maintain data-driven metrics to quantify AI impact, identify gaps, and drive continuous improvement.
• Lead initiatives from prototype through production deployment, including monitoring and debugging at scale.

Requirements

Must-have skills and experience.

• 5+ years building and deploying ML/AI systems or data-intensive backend services.
• 2+ years directly owning applied AI solutions (AI agents, LLM workflows, or intelligent automation) end-to-end.
• Strong Python skills and proficiency in at least one static language (C, C++, C#, Java, or Scala).
• Practical experience with deep learning frameworks such as PyTorch or TensorFlow.
• Hands-on experience with agentic and orchestration tools (examples: NeMo Agent Toolkit, LangChain, Semantic Kernel, AutoGen, CrewAI, n8n).
• Proven experience deploying, monitoring, and debugging scalable AI/ML models in production.
• Ability to manage multiple projects and communicate effectively with engineering teams.

Nice-to-have:

• Familiarity with modern LLM development and deployment methodologies.
• Experience building orchestration agents that manage hundreds to thousands of tools.
• Experience translating AI research into practical production tools and exposure to silicon development or chip/system characterization.

Education Requirements

BS, MS, or PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field, or equivalent practical experience.

About the Company

Company: NVIDIA

Headquarters: Santa Clara, California, USA

NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.