AI Engineer RTL Front-End Flow Optimization

About the Role

Qualcomm India Private Limited is seeking an AI 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.
• 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.

Equal Opportunity Employer

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

Company Policies

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Key skills/competency

• AI Engineer
• RTL Design
• Front-End Flow Optimization
• Python Scripting
• Automation
• Agentic AI
• VLSI
• LLM
• SystemVerilog
• Hardware Engineering