Artificial Intelligence is transforming every industry, and Qualcomm is at the forefront of this revolution. If you’re a 2025 or 2026 graduate or have 0–1 year of software development experience, this is an outstanding opportunity to kick-start your career with one of the world’s leading semiconductor and AI technology companies.
Qualcomm is currently hiring Engineer / Associate Engineer – AI Platform for its Enterprise AI Team in Hyderabad. This role offers hands-on experience building enterprise AI platforms, Generative AI applications, AI agents, Retrieval-Augmented Generation (RAG) systems, cloud-native backend services, and scalable software solutions used across Qualcomm’s engineering ecosystem.
📌 Position Details
🏢 Company: Qualcomm India Private Limited
💼 Role: Engineer / Associate Engineer – AI Platform
🆔 Job ID: 3093492
📍 Location: Hyderabad, Telangana, India
🏢 Department: Engineering Group – Software Engineering
💼 Employment Type: Full-Time
🎓 Qualification: Bachelor’s or Master’s Degree in Computer Science, Engineering, Information Systems, or Related Field
💼 Experience: 0–1 Year (Exceptional Freshers Can Apply)
🤖 Domain: Artificial Intelligence | Software Engineering | Enterprise AI | Cloud | Backend Development
🏢 About Qualcomm
Qualcomm is one of the world’s leading technology innovators, recognized for pioneering advancements in 5G, Artificial Intelligence, Edge Computing, Mobile Processors, IoT, Automotive Technologies, Cloud Platforms, and Wireless Communications.
Headquartered in San Diego, California, Qualcomm develops cutting-edge technologies powering billions of smartphones, connected devices, automotive platforms, industrial solutions, and AI-enabled applications worldwide.
Working at Qualcomm gives engineers exposure to large-scale distributed systems, world-class software development practices, and some of the most advanced AI technologies available today.
🌟 Why This Role is Good for Freshers
This role is an exceptional starting point for graduates who want to build a career in Artificial Intelligence and Software Engineering.
🤖 Work on Real Enterprise AI Products
Instead of academic projects, you’ll contribute to AI platforms used internally by Qualcomm engineering teams.
🚀 Exposure to Modern AI Technologies
You’ll gain hands-on experience with:
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- AI Agents
- Prompt Engineering
- Enterprise AI Platforms
- Cloud-native AI Infrastructure
💻 Strong Software Engineering Foundation
You’ll work with:
- Python
- Java
- C++
- Distributed Systems
- REST APIs
- Microservices
- Databases
- Cloud Platforms
🌍 Learn from Industry Experts
Collaborate with experienced software architects, AI researchers, backend engineers, and cloud specialists.
💰 Expected Salary Range
Qualcomm has not officially disclosed the compensation. Based on current industry trends, fresh graduates can expect:
| Experience | Expected Annual CTC |
|---|---|
| Freshers (0–1 Year) | ₹12 – ₹22 LPA |
| Exceptional Candidates | ₹22 – ₹30 LPA (including bonuses and benefits) |
🎯 Expected Interview Rounds
The hiring process generally includes the following stages:
📝 Round 1 – Resume Screening
Recruiters evaluate:
- Academic Performance (CGPA preferred 8.5+)
- Projects
- AI Exposure
- Programming Skills
- Internships
💻 Round 2 – Online Coding Assessment
Questions typically cover:
- Data Structures
- Algorithms
- Problem Solving
- Coding Efficiency
Platforms similar to HackerRank or Codility may be used.
👨💻 Round 3 – Technical Interview
Topics include:
- Python / Java / C++
- Object-Oriented Programming
- SQL
- DBMS
- Operating Systems
- Computer Networks
- REST APIs
- Backend Design
- Git
- Cloud Concepts
🤖 Round 4 – AI & System Design Interview
Discussion may include:
- Machine Learning Basics
- Deep Learning Concepts
- Prompt Engineering
- RAG
- AI Agents
- ETL Pipelines
- Microservices
- Docker
- Kubernetes
🤝 Round 5 – Managerial Interview
Focus areas:
- Communication
- Teamwork
- Project Discussion
- Problem Solving
- Learning Ability
💼 Round 6 – HR Discussion
Topics include:
- Compensation
- Relocation
- Joining Date
- Career Goals
📚 Preparation Tips
To maximize your chances of success, focus on the following:
✅ Strengthen Data Structures & Algorithms
Practice:
- Arrays
- Strings
- Trees
- Graphs
- Linked Lists
- Dynamic Programming
- Recursion
✅ Master Programming
Become comfortable with:
- Python
- Java
- C++
✅ Revise Core Subjects
Prepare:
- Operating Systems
- DBMS
- Computer Networks
- OOP Concepts
✅ Learn Backend Development
Understand:
- REST APIs
- FastAPI
- Flask
- Microservices
- Distributed Systems
✅ Learn AI Fundamentals
Revise:
- Machine Learning
- Deep Learning
- Transformers
- LLMs
- Prompt Engineering
- RAG
- AI Agents
✅ Cloud & DevOps
Basic understanding of:
- Docker
- Kubernetes
- Git
- AWS
- Azure
- GCP
- CI/CD
🛠 Skills Required
Programming Skills
- Python
- Java
- C++
Core Computer Science
- Data Structures
- Algorithms
- Operating Systems
- DBMS
- Computer Networks
- Object-Oriented Programming
Backend Development
- REST APIs
- FastAPI
- Flask
- Microservices
Databases
- SQL
- NoSQL
- Vector Databases
Artificial Intelligence
- Machine Learning
- Deep Learning
- LLMs
- Prompt Engineering
- RAG
- AI Agents
- Embeddings
Cloud Technologies
- Docker
- Kubernetes
- AWS
- Azure
- GCP
- Git
- CI/CD
📝 Resume Tips
An ATS-friendly resume can significantly improve your chances of being shortlisted.
Include:
- AI Projects
- Machine Learning Projects
- Python Projects
- Backend Development Experience
- Cloud Projects
- GitHub Profile
- Coding Achievements
- Internships
- Hackathons
- Research Projects
ATS Keywords
Include keywords such as:
Artificial Intelligence, Python, Java, C++, Machine Learning, Deep Learning, Large Language Models, LLM, Prompt Engineering, Retrieval-Augmented Generation, RAG, AI Agents, REST API, FastAPI, Flask, SQL, NoSQL, Docker, Kubernetes, AWS, Azure, GCP, ETL, Distributed Systems, Microservices, Git, Backend Development, Software Engineering, Data Structures, Algorithms.
📩 How to Apply
👉 Application Link: Click Here
Application Steps
- Visit the Qualcomm Careers website.
- Search for Job ID: 3093492 or Engineer / Associate Engineer – AI Platform.
- Complete the online application.
- Upload your latest ATS-friendly resume.
- Submit your application and regularly monitor your registered email for updates regarding assessments and interviews.
🚀 Final Thoughts
The Engineer / Associate Engineer – AI Platform role at Qualcomm is one of the best opportunities available for fresh graduates interested in Artificial Intelligence, Software Engineering, Cloud Computing, and Backend Development. You’ll gain hands-on experience with enterprise AI systems, Large Language Models, cloud-native technologies, and scalable software architectures while working alongside world-class engineers.
✨ Update your resume, strengthen your DSA and AI fundamentals, build a few practical projects, and apply through the official Qualcomm Careers portal. Best of luck with your application! 🚀
