Ai Automation Engineer, Staff
Qualcomm · Bengaluru · onsite · Posted 58d ago
Undisclosed6–11 yrsfulltimeSourced from
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About this role
Job Summary
We are looking for an engineer to build AI-driven solutions that improve and automate RTL front-end design and implementation flows. The focus is on using agentic AI frameworks and modern open-source tooling to streamline common RTL-to-GDS workflow tasks and reduce manual effort.
Company: Qualcomm India Private Limited
Job Area: Engineering Group, Engineering Group > Hardware Engineering
Key Responsibilities - Develop AI-based tools/agents to optimize RTL design/DV and front-end flow execution, including automation around analysis, checks, and flow tasks.
- Build and maintain agentic workflows using modern open-source ecosystems (e.g., LangChain/CrewAI or similar frameworks).
- Create and improve automation and scripting that integrates with design tools and existing engineering workflows.
- Write, review, and maintain Python code with good engineering practices (readability, testability, maintainability).
- Quickly learn and adopt new AI packages and evolving best practices, as the ecosystem changes rapidly.
- Strong hands-on experience with Python scripting/automation (comfort writing + reviewing code).
- Basic understanding of VLSI RTL GDS flow and common front-end stages (RTL/design checks/synthesis/STA/CDC/formal/DV, etc.).
- Practical familiarity with agentic AI frameworks and tooling (LangChain, CrewAI, LangGraph, or similar open-source stacks).
- Ability to work independently, iterate quickly, and learn new tools/packages fast.
- Hands-on experience applying LLM-driven techniques and solutions on large, production-quality SystemVerilog codebases
- Exposure to building multi-agent systems (supervisor/worker patterns, tool-calling, memory/context, RAG).
- Experience integrating automation with engineering infrastructure and reference flows
- Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 6+ years of Hardware Engineering or related work experience.
- Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 5+ years of Hardware Engineering or related work experience.
- PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience.
Sourced from naukri
Skills
CdcAutomationScriptingRetrieval Augmented GenerationHardware EngineeringVLSIsynthesisworkflowsCrewaidesign toolsai frameworksai automationpython scriptingRTL DesignElectronics EngineeringLarge Language Models (LLMs)PythonRest AssuredLangchainGDSArtificial Intelligence
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Qualcomm
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