Cadence
Electronic Design Automation
SrPrincipalSoftwareEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Sr Principal Software Engineer at Cadence. Skills: AI agents, ML systems, Agent infrastructure. Design scalable infrastructure for AI agents. Build evaluation frameworks for agent performance”
Industry & Context.
What They're Looking For.
Must Have
Bachelors/MS/PhD in Computer Science, Computer Engineering, or related technical field, 15+ Years of relevant experience in software development, 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
Nice to Have
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 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
What You'll Do.
Design scalable infrastructure for AI agents
Build evaluation frameworks for agent performance
Develop data pipelines and retrieval systems
Contribute to continuous integration
Optimize system performance
How You'll Work.
Team & Collaboration
Work effectively across functions and geographies; Establish close working relationship with customer peers and management; Demonstrate teamwork and collaboration skills
Communication Scope
Written communication skills; Verbal communication skills; Presentation skills
Full Job Description
## **At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.** **_About Us_** Chips are at the center of today's tech-driven world. But how we design and verify them has not fundamentally changed in decades, while their complexity and specialization have skyrocketed due to increasing performance demands from AI. We are a dynamic, fast-moving team of software developers, ML scientists, and research-minded engineers on a mission to change that. Operating with the agility of a startup but backed by industry-leading verification technologies, we are part of the System Verification Group (SVG). Our charter is to develop state-of-the-art EDA software and hardware platforms (including Xcelium, Jasper, Palladium, Protium, and Helium) and supercharge them with cutting-edge AI, automation, and advanced data-driven workflows. **_About This Role_** Cadence Design Systems is the leading provider of design automation tools for electronic and intelligent systems design. The ML / Software Engineer – ChipStack SuperAgent Team will be responsible for designing, implementing, and evaluating AI agents that enhance productivity across the semiconductor design lifecycle. This engineer will contribute to the development of robust agent infrastructure, evaluation systems, and production-grade AI capabilities integrated within Cadence’s electronic design automation (EDA) ecosystem. The role focuses on building reliable, scalable agentic systems that operate within complex engineering workflows. The ideal candidate combines strong software engineering fundamentals with practical experience in ML systems and agent infrastructure, enabling deployment of high-impact AI solutions in production environments. **_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 wi
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