RTL Front-End Flow Optimization Professional (CAD)
Qualcomm · Bengaluru · onsite · Posted 7d ago
Undisclosed6–11 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
Company: Qualcomm India Private Limited
Job Area: Engineering Group, Hardware Engineering
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.
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 Qualifications
Bachelor'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.
Sourced from naukri
Skills
CdcAutomationScriptingRetrieval Augmented GenerationHardware EngineeringVLSIsynthesisworkflowsCrewaidesign toolsai frameworkspython scriptingRTL DesignCADElectronics EngineeringLarge Language Models (LLMs)PythonRest AssuredLangchainGDSArtificial Intelligence
About Qualcomm
Qualcomm
Semiconductors
22k+
employees
1996
30 years old
San Diego,California
United States
About
Qualcomm invents breakthrough technologies that transform how the world connects, computes and communicates.
Industries
SemiconductorsHardware & Networking
Employee ratings
1,207 reviews
3.7/ 5
Culture
3.4
Career growth
3.2
Work-life
3.3
Employees rate it well for
Work Life Balance267Salary160Work Culture155Learning100Senior Management91
Find them on