Key skills
Distributed SystemsAILarge Language Models
About this role
Role Overview
- Design and implement scalable infrastructure for AI agents operating within Cadence’s ChipStack SuperAgent ecosystem.
- Build robust evaluation frameworks to measure agent performance, reliability, and alignment with engineering workflows.
- Develop data pipelines, retrieval systems, and context-engineering strategies to support consistent and grounded agent behavior.
- Contribute to continuous integration, automated testing, and observability systems to ensure production-quality deployment of AI-enabled systems.
- Optimize system performance across latency, cost, reliability, and scalability dimensions.
Requirements
- Bachelors/MS/PhD in Computer Science, Computer Engineering, or related technical field with 15+ Years of relevant experience in software development.
- Strong software engineering fundamentals, including design, refactoring, debugging, and testing of complex distributed systems.
- Demonstrated experience building production-quality systems.
- Understanding of large language models (LLMs) and practical considerations for deploying them in real-world systems (latency, cost, reliability, monitoring).
- Experience designing evaluation frameworks for AI systems, including benchmarking, regression testing, and failure analysis.
Tech Stack
- Distributed Systems
Benefits
- Health insurance
- Retirement plans
- Professional development