2 months ago

Sr Principal Software Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

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

Glassdoor: 3.9

Website LinkedIn Glassdoor

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Cadence Design Systems

2 months ago

Sr Principal Software Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

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

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

Glassdoor: 3.9

Website LinkedIn Glassdoor