The Job

RTL Front-End Flow Optimization (CAD)

Technology, Data & Digital · Software & Web Development · Software Engineering · Embedded Systems

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In short

We are looking for an engineer to build AI-driven solutions that improve and automate RTL front-end design and implementation flows using agentic AI frameworks and modern open-source tooling. The role involves developing AI-based tools/agents for RTL design and front-end flow execution, creating automation and scripting, and writing Python code with good engineering practices.

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.

Requirements

  • 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.
  • 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.
  • OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience.

Desired Qualifications

  • 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.

Benefits

  • Qualcomm is an equal opportunity employer.
  • Qualcomm is committed to providing an accessible process.
  • Qualcomm is committed to making our workplace accessible for individuals with disabilities.
#AI#RTL#Front-End Design#Flow Optimization#VLSI#Python#Automation#Agentic AI#Open-source tooling#CAD
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Company

Qualcomm

Job Posted

1 week ago

Employment Type

Full Time

WorkMode

On Site

Experience Level

Senior

Locations

Bangalore, India

Qualification

Bachelor, Master, Doctoral

Applicants

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