Senior Principal Applied ML Engineer
Core
Designing, implementing, and evaluating AI agents to enhance productivity across the semiconductor design lifecycle within Cadence's EDA ecosystem.
Role type
Senior Principal Applied ML Engineer (Agentic Systems)
Builds
Production-grade AI agent infrastructure, evaluation frameworks, and data pipelines for chip design and verification.
Domain
Semiconductor design automation (EDA) and Large Language Model (LLM) engineering.
Deliverable
production ML models
Required skills
Software engineering fundamentals for distributed systems, LLM deployment and optimization, AI system evaluation framework design, RAG and retrieval systems, observability and monitoring, agent architecture (reason-act loops, planning, tool calling)
Preferred skills
Experience with frontier LLMs, prompt engineering, context management, AI-assisted development workflows, interest in high-performance computing
Technologies
LLMs, RAG pipelines, embeddings, logging, tracing, monitoring systems
Responsibilities
Design scalable infrastructure for AI agents, build robust evaluation frameworks, develop data pipelines and retrieval systems, contribute to CI/CD and observability, optimize system performance for latency and cost
Seniority
Senior, hands-on IC with strategic impact
