Sr Principal Software Engineer

Cadence Design Systems
Bengaluru
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 15+ yearsEducation: mastersSkills: ["Distributed systems","ML","AI","LLMs","Prompt engineering","Data pipelines","Retrieval","Embedding","Grounding","Observability","CI/CD","Python","Engineering"]

Design, implement, and evaluate AI agent infrastructure within Cadence’s ChipStack SuperAgent ecosystem for production-grade, scalable AI-enabled systems in the semiconductor design lifecycle.

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FursaFursa
Cadence Design Systems
Cadence Design Systems
4 months ago

Sr Principal Software Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live
Reposted: similar role first listed 4 months ago

Job Summary

Design, implement, and evaluate AI agent infrastructure within Cadence’s ChipStack SuperAgent ecosystem for production-grade, scalable AI-enabled systems in the semiconductor design lifecycle.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Sr. Manager level

Key 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.

Key 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.
Experience:15+ yearsSemiconductorEDAAIChip design
Education:Master's
Skills:Distributed systemsMLAILLMsPrompt engineeringData pipelinesRetrievalEmbeddingGroundingObservabilityCI/CDPythonEngineering
Languages:English
Tech Stack:LLMsAIRAGEmbeddingsRetrievalContext managementLoggingMonitoringDistributed systemsPython

Company Brief

Cadence Design Systems
Provides electronic design automation (EDA) software, IP, and services for semiconductor and systems companies to design, verify, and implement integrated circuits, systems-on-chip, and electronic systems across industries including communications, automotive, and consumer electronics.
Industry: Developer Tools
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Jose, United States
Founded: 1988
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