Looking to kick-start your career with one of the world’s leading semiconductor and AI technology companies? Qualcomm has opened an exciting opportunity for fresh graduates and early-career engineers to join its Enterprise AI Team as an Engineer / Associate Engineer โ AI Platform in Hyderabad.
If you’re passionate about Artificial Intelligence, Large Language Models (LLMs), Backend Development, Cloud Computing, and Enterprise AI Platforms, this role offers an incredible opportunity to work on next-generation AI products that power intelligent automation and developer productivity across Qualcomm.
Whether you’re a recent graduate with exceptional academic performance or an engineer with up to one year of experience, this role allows you to work alongside some of the industry’s brightest engineers while building enterprise-scale AI platforms using cutting-edge technologies.
๐ Position Details
๐ข Position: Engineer / Associate Engineer โ AI Platform
๐ Job ID: 3093492
๐ Location: Hyderabad, Telangana, India
๐ผ Experience Required: 0โ1 Year (Exceptional Freshers Welcome)
๐ Qualification: Bachelor’s or Master’s Degree in Computer Science, Engineering, Information Systems, or Related Field
๐ข Employment Type: Full-Time
๐ค Domain: Artificial Intelligence | Software Engineering | Enterprise AI Platform
๐ ๏ธ Skills Required
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Python
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Java (Preferred)
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C++
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Data Structures & Algorithms
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Object-Oriented Programming (OOP)
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Operating Systems
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Computer Networks
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DBMS
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SQL & NoSQL Databases
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REST APIs
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FastAPI / Flask
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Microservices
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Distributed Systems
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Machine Learning Fundamentals
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Deep Learning Basics
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Generative AI
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Large Language Models (LLMs)
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Prompt Engineering
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Retrieval-Augmented Generation (RAG)
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AI Agents
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Embeddings
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ETL Pipelines
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Docker
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Kubernetes
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Git & Version Control
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CI/CD
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AWS / Azure / Google Cloud Platform
๐ Position Overview
Qualcomm’s Enterprise AI Team is driving AI adoption across the organization by developing intelligent automation platforms, AI-powered developer tools, enterprise-scale Large Language Model applications, AI Agents, Retrieval-Augmented Generation (RAG) systems, and modern AI infrastructure. As an Engineer or Associate Engineer, you’ll contribute to designing, developing, and deploying AI-driven software solutions that improve engineering productivity and business efficiency. Working closely with software engineers, architects, hardware teams, and AI specialists, you’ll gain exposure to enterprise-scale software engineering, cloud-native architectures, backend development, machine learning pipelines, and cutting-edge Generative AI technologies. This role is an outstanding opportunity for fresh graduates to transition into enterprise AI engineering while building practical experience with technologies shaping the future of software development.
๐ข About the Company
Qualcomm is one of the world’s most innovative semiconductor and wireless technology companies, renowned for pioneering breakthroughs in mobile computing, artificial intelligence, 5G connectivity, edge computing, IoT, automotive technologies, and cloud computing. Headquartered in San Diego, California, Qualcomm has engineering centers across the globe and employs thousands of world-class engineers dedicated to building technologies that transform industries.
The company’s innovations power billions of smartphones, connected devices, automobiles, industrial systems, and enterprise applications worldwide. Qualcomm continuously invests in AI research, developer productivity, embedded systems, and intelligent cloud solutions, making it one of the most desirable employers for software engineers and AI professionals.
Joining Qualcomm means becoming part of a highly collaborative engineering culture where innovation, continuous learning, technical excellence, and impactful problem-solving are encouraged every day.
๐ฏ Key Responsibilities
๐น Design and develop enterprise AI software platforms.
๐น Build scalable backend services and cloud-native applications.
๐น Develop AI-powered developer productivity tools.
๐น Create AI Agents and Agentic Workflows.
๐น Build and optimize LLM-powered applications.
๐น Design Retrieval-Augmented Generation (RAG) systems.
๐น Develop REST APIs and backend microservices.
๐น Participate in software architecture discussions.
๐น Write scalable, maintainable, and reusable code.
๐น Collaborate with engineering, architecture, hardware, and AI teams.
๐น Build enterprise knowledge systems.
๐น Deploy AI models at enterprise scale.
๐น Improve software quality through testing and debugging.
๐น Participate in code reviews and Agile development activities.
๐น Continuously explore emerging AI technologies.
๐ Why This Role is Great for Freshers
For students graduating in 2026 or recent graduates, opportunities like this are extremely valuable because Qualcomm provides exposure to enterprise-grade AI engineering from day one.
You’ll gain hands-on experience working on:
โ Enterprise AI Platforms
โ Large Language Models (LLMs)
โ Generative AI Applications
โ AI Agent Development
โ Cloud Technologies
โ Backend Engineering
โ Distributed Systems
โ Production Software Development
โ AI Infrastructure
โ Modern Software Engineering Practices
Instead of working on isolated learning projects, you’ll contribute to real-world AI systems that support thousands of engineers globally.
๐ฐ Expected Salary Range
Although Qualcomm has not officially disclosed the compensation, based on previous hiring trends and market standards.
๐ Additional Benefits:
โข Performance Bonus
โข RSUs / Stock Benefits (Role Dependent)
โข Health Insurance
โข Learning & Certification Programs
โข Paid Time Off
โข Wellness Benefits
โข Employee Assistance Programs
๐ Expected Interview Rounds
Candidates can generally expect the following selection process:
1๏ธโฃ Online Application Screening
2๏ธโฃ Resume Shortlisting
3๏ธโฃ Online Coding Assessment
4๏ธโฃ Data Structures & Algorithms Interview
5๏ธโฃ Technical Interview (Backend + CS Fundamentals)
6๏ธโฃ AI / Machine Learning Concepts Discussion
7๏ธโฃ Hiring Manager Round
8๏ธโฃ HR Discussion
9๏ธโฃ Offer Release
Interview difficulty is expected to be Medium to High.
๐ Preparation Tips
To maximize your chances of success:
โ Practice Data Structures & Algorithms daily.
โ Revise Operating Systems concepts.
โ Study DBMS normalization and SQL queries.
โ Learn REST API development.
โ Build projects using Python.
โ Explore FastAPI or Flask.
โ Understand Docker basics.
โ Practice Git workflows.
โ Learn Retrieval-Augmented Generation (RAG).
โ Build a simple AI chatbot using OpenAI or LangChain.
โ Understand Prompt Engineering techniques.
โ Learn Vector Databases.
โ Read about AI Agents and MCP architecture.
โ Solve coding problems on LeetCode and HackerRank.
โ Prepare behavioral interview examples using the STAR method.
๐ฏ Resume Tips
A strong resume can significantly improve your chances of being shortlisted.
Include:
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GitHub Profile
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LinkedIn Profile
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AI Projects
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Backend Projects
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Machine Learning Projects
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Cloud Projects
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Certifications
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Coding Profiles
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Internship Experience
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Hackathons
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Research Papers (if applicable)
Keep your resume limited to one page if you’re a fresher and quantify achievements wherever possible.
๐ Frequently Asked Questions (FAQs)
โ Who can apply?
Fresh graduates and candidates with up to one year of experience.
โ Is this role suitable for non-AI candidates?
Yes. Strong software engineering fundamentals combined with an eagerness to learn AI technologies are highly valued.
โ Is Java mandatory?
No. Python, Java, C++, or similar programming languages are acceptable, though Java is preferred.
โ Is cloud experience mandatory?
Not mandatory, but familiarity with AWS, Azure, or GCP is advantageous.
โ What academic score is preferred?
A CGPA/GPA of 8.5 or above is preferred.
โ Are internships considered experience?
Yes. Relevant internships and impactful AI or backend projects strengthen your profile.
๐ Why You Should Apply
Qualcomm is among the best technology companies for software engineers who aspire to work in Artificial Intelligence, Cloud Computing, Distributed Systems, and Enterprise Software Development. The exposure you’ll receive, combined with mentorship from world-class engineers and opportunities to work on cutting-edge AI technologies, can significantly accelerate your career growth.
If you’re passionate about building scalable AI systems, solving challenging engineering problems, and contributing to products that impact millions of users worldwide, this role is an excellent opportunity to launch your career.
๐ฉ How to Apply
๐ Application Link: Click Here
๐ Visit the Qualcomm Careers Portal and search using:
Job ID: 3093492
๐ Suggested Resume File Name:
Firstname_Lastname_Engineer_AIPlatform_2026.pdf
โ ๏ธ Apply as early as possible since applications are reviewed on a rolling basis.
๐ Share this opportunity with your friends, classmates, and aspiring AI engineers looking to begin their careers with one of the world’s leading technology companies.
