Company:
Qualcomm India Private Limited
Job Area:
Engineering Group, Hardware Engineering Job SummaryWe 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. Responsibilities - Develop AI-based tools/agents to optimize
RTL design 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.
Required Qualifications - 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.
Nice to Have - 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
Minimum QualificationsBachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 6+ years of Hardware Engineering or related work experience.
OR
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.
If you would like more information about this role, please contact Qualcomm Careers.
