AI Engineer – RTL Front-End Flow Optimization
Qualcomm · Bengaluru, Karnataka, India
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- On site
- Full-time
- $150,000 / year
- Bengaluru, Karnataka, India
Job highlights
- Develop AI solutions for RTL design automation.
- Use agentic AI and open-source tools.
- Streamline RTL-to-GDS workflow tasks.
- Requires Python, VLSI, and AI framework skills.
- Opportunity to learn rapidly evolving AI ecosystem.
About the role
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
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Agency Policy
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
Key skills/competency
- AI Engineer
- RTL Design
- Front-End Flow Optimization
- Python Scripting
- Automation
- Agentic AI
- VLSI
- LLM
- SystemVerilog
- Hardware Engineering
Skills & topics
- AI Engineer
- RTL Design
- Front-End Flow Optimization
- Python
- Automation
- Agentic AI
- VLSI
- LLM
- SystemVerilog
- Hardware Engineering
- Qualcomm
- Engineering Group
- RTL
- GDS
- LangChain
- CrewAI
How to get hired
- Tailor your resume: Highlight Python, AI frameworks, and VLSI flow experience.
- Showcase projects: Emphasize AI-driven automation and scripting achievements.
- Prepare for technical interviews: Brush up on Python, AI concepts, and RTL-GDS flow.
- Demonstrate learning agility: Express enthusiasm for adopting new AI technologies.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the key responsibilities for an AI Engineer at Qualcomm?
- The AI Engineer at Qualcomm will develop AI-based tools/agents to optimize RTL design and front-end flow execution, build agentic workflows using open-source ecosystems like LangChain/CrewAI, and improve automation/scripting integrated with design tools.
- What technical skills are essential for this AI Engineer role at Qualcomm?
- Essential technical skills include strong Python scripting/automation, a basic understanding of VLSI RTL to GDS flow, and practical familiarity with agentic AI frameworks like LangChain or CrewAI.
- Does Qualcomm offer accommodations for individuals with disabilities applying for the AI Engineer position?
- Yes, Qualcomm is committed to providing an accessible hiring process and offers reasonable accommodations for individuals with disabilities. You can reach out to disability-accomodations@qualcomm.com for assistance.
- What is the educational background preferred for the AI Engineer role at Qualcomm?
- A Bachelor's degree in Computer Science, Electrical/Electronics Engineering, or a related field with 6+ years of experience is required. Master's or PhD degrees with fewer years of experience are also considered.
- What are the benefits of working as an AI Engineer at Qualcomm?
- This role offers the opportunity to work on cutting-edge AI-driven solutions for hardware design, utilize modern open-source tooling, and rapidly learn and adopt new AI technologies in a fast-paced environment.
- How does Qualcomm handle unsolicited applications from recruiting agencies for the AI Engineer position?
- Qualcomm does not accept unsolicited resumes or applications from agencies. Any submissions made by agencies will be considered unsolicited, and Qualcomm is not responsible for any associated fees.
- What is the expected learning curve for new AI packages and best practices in this role?
- The AI ecosystem changes rapidly, so the role requires the ability to quickly learn and adopt new AI packages and evolving best practices.