Applied AI Engineer - Silicon Co-Design Group

Responsibilities

• Designing and implementing AI/LLM-powered systems to improve post-silicon validation, automation, and workflow efficiency within semiconductor validation environments.
• Collaborating with multi-functional engineering teams to find opportunities for AI integration and performance optimization.
• Evaluating emerging frameworks, architectures, and tools to improve efficiencies powered by artificial intelligence across the organization.
• Establish and maintain data-driven indicators to quantify AI impact, identify performance gaps, and drive continuous improvement across systems.
• What we need to see
• BS, MS, or PhD or equivalent experience in CS, EE, CE, or a related field, with 5+ years of hands-on experience building and deploying ML/AI systems or data-intensive backend services.
• 2+ years of direct Applied AI experience independently owning an AI agent, LLM-powered workflow, or intelligent automation system end-to-end — from prototype through production deployment.
• Strong Python skills and proficiency in at least one static language such as C, C++, C#, Java, or Scala.
• Demonstrated experience with deep learning frameworks like PyTorch or TensorFlow, and hands-on experience with agentic and orchestration tools including NeMo Agent Toolkit, LangChain, Semantic Kernel, AutoGen, CrewAI, or n8n.
• Proven track record with deploying, monitoring, and debugging scalable AI/ML models.

Languages