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Electronic Design Automation (EDA) · Semiconductor chip design

Senior Principal Software Engineer - AI & Software Development for

BangalorePosted 2 months ago
Software engineeringStaff+Full Time; Regular
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Sr Principal Software Engineer 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, rapid-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 Cadences 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 Cadences ChipStack SuperAgent ecosystem. Build robust evaluation frameworks to measure agent performance, reliability, and alignme. Sr Principal Software Engineer 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, rapid-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 Cadences 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 Cadences ChipStack SuperAgent ecosystem. Build robust evaluation frameworks to measure agent performance, reliability, and alignme.

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