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Tier-1 brand plus Bengaluru metro increase density, but niche EDA/GenAI specialization limits generalist applicants.
Strong VLSI/EDA domain specialization makes skills less transferable across industries.
Mandatory 9–12 years EDA domain experience, triage expertise and technical stack make filters highly stringent.
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Own end-to-end support, triage, and debugging of complex EDA/GenAI tool workflows and software integrations.
Drive adoption and usability of internal GenAI/Agentic AI tools by translating user needs into engineering inputs and onboarding new projects.
Define robust test strategies, functional specs, and integrate tools into automated validation and telemetry systems to ensure performance and reliability.
9-12 years experience in Applications Engineering/Customer Engineering/System Testing with EDA tools or related domains.
Strong domain expertise in VLSI/Physical Design/EDA workflows and knowledge of Agentic AI/MCP/RAG workflows.
Strong Python/Linux scripting skills and ability to independently debug end-to-end tool workflows.
Bachelor's degree in Engineering/CS/IS or related with 4+ years software engineering experience, or equivalent (Master's/PhD with less experience).
Experienced in hands-on triage and debugging within EDA toolchains, AI/GenAI orchestration, and non-deterministic system issues.
Technical operator bridging Physical Design Engineers and Software teams with strong root-cause analysis skills.
Comfortable defining test cases, functional specifications, and driving structured adoption plans in complex, automated validation environments.