Sr Principal Software Engineer

Responsibilities

• 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.

Required Qualifications

• 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.

Skills of Interest

• Agent architecture: Experience with reason–act loops, planning/evaluation/self-correction patterns, tool/function calling, persistent memory systems, and structured outputs.
• LLM engineering: Familiarity with frontier LLMs and trade-offs across model families; experience with prompt engineering, context management, and alignment techniques.
• Retrieval and data systems: Understanding of RAG pipelines, embeddings, indexing strategies, chunking methodologies, and grounding techniques.
• Infrastructure and observability: Experience building logging, tracing, monitoring, and evaluation systems for ML/AI applications.
• AI-assisted development workflows: Leveraging AI tools to enhance engineering productivity and code quality.
• Interest in semiconductor design, EDA workflows, and high-performance computing environments.

Our Culture

Behavioral skills required

• Must possess strong written, verbal and presentation skills.
• Good communication and interpersonal skills, demonstrate teamwork and collaboration skills.
• Ability to establish a close working relationship with both customer peers and management.
• Explore what’s possible to get the job done, including creative use of unconventional solutions
• Work effectively across functions and geographies
• Push to raise the bar while always operating with integrity