RTL Front-End Flow Optimization (CAD) Bangalore, India Hardware Engineering Posted 7 hours ago

Qualcomm; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Qualcomm India Private Limited is seeking an engineer to build AI-driven solutions that automate RTL front-end design flows. You will develop agentic tools to streamline RTL-to-GDS tasks and reduce manual effort, using LangChain, CrewAI, and related open-source stacks.

The role emphasizes Python scripting, independent work, and rapid learning of new AI packages to keep pace with evolving best practices in hardware design automation.

Qualifications

• 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.

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.

Skills

Python scripting

RTL flow knowledge

Agentic AI frameworks

Education

Bachelor's degree

Master's degree

PhD

Tools

LangChain

CrewAI

LangGraph

Job description

Company

Qualcomm India Private Limited

Job Area

Engineering Group, Engineering Group > Hardware Engineering

General 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.

Key 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.
• 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.

Applicants: Qualcomm is an equal opportunity employer.

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