Qualcomm Hiring Engineer/Associate Engineer Freshers

Qualcomm is hiring Engineer/Associate Engineer – AI Platform for its Hyderabad office. This is an excellent opportunity for fresh graduates and professionals with up to 1 year of experience who are passionate about Artificial Intelligence, backend software engineering, and enterprise AI platforms.

The role is part of Qualcomm’s Enterprise AI Team, which focuses on building next-generation AI-powered solutions that improve developer productivity and accelerate AI adoption across the organization. Engineers in this team work on cutting-edge technologies such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, cloud infrastructure, backend systems, and enterprise-scale AI applications.

If you have strong programming fundamentals, excellent problem-solving skills, and an interest in Generative AI, this is one of the best entry-level AI engineering opportunities available.

About the Company

Qualcomm is a global technology leader known for pioneering innovations in wireless communications, semiconductors, Artificial Intelligence, and edge computing. The company develops technologies that power smartphones, automotive systems, IoT devices, cloud platforms, and intelligent computing solutions.

With operations across the globe, Qualcomm invests heavily in research and development and continues to lead innovation in AI, 5G, mobile computing, and connected technologies.

Job Overview

Role Overview

As an AI Platform Engineer, you’ll develop enterprise AI solutions that improve software engineering productivity across Qualcomm. The role combines backend engineering, AI infrastructure, cloud-native development, and Generative AI technologies to build intelligent systems used by engineering teams worldwide.

You’ll collaborate with software engineers, AI researchers, system architects, and domain experts while contributing to enterprise-scale AI platforms.

Key Responsibilities

Build Enterprise AI Platforms

You’ll contribute to developing AI-powered internal platforms that automate engineering workflows and improve developer productivity.

These platforms help engineering teams work more efficiently using intelligent automation.

Develop AI Applications

You’ll design and implement enterprise AI applications involving:

• Large Language Models (LLMs)
• AI agents
• Enterprise knowledge systems
• Intelligent developer tools
• AI-assisted workflows

The focus is on solving real-world engineering problems using modern AI technologies.

Build Backend Services

You’ll work on scalable backend systems by developing:

• REST APIs
• Microservices
• FastAPI or Flask applications
• Distributed backend services

Writing clean, maintainable, and scalable backend code is an essential responsibility.

Work with Large Language Models

You’ll gain hands-on exposure to enterprise LLM applications involving:

• Prompt engineering
• Context engineering
• Model orchestration
• AI agent workflows
• Enterprise AI deployment

This provides valuable experience with modern Generative AI systems.

Implement RAG Pipelines

You’ll contribute to Retrieval-Augmented Generation (RAG) systems by working with:

• Knowledge retrieval
• Vector databases
• Embeddings
• Context-aware AI responses

These technologies improve the accuracy and usefulness of enterprise AI applications.

Model Deployment

The team also works on deploying AI models for enterprise-scale usage.

Responsibilities include:

• Model inference
• AI infrastructure
• Scalable deployment
• Performance optimization

This provides exposure to production AI engineering.

Collaborate Across Teams

You’ll work closely with:

• Software engineers
• AI researchers
• Hardware teams
• System architects
• Product teams

Cross-functional collaboration is an important part of delivering enterprise AI solutions.

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Eligibility Criteria

Candidates should have:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field
• Strong academic record (preferably CGPA 8.5 or above)
• 0–1 year of experience

Exceptional fresh graduates are encouraged to apply.

Required Skills

Candidates should have a strong understanding of:

• Data Structures
• Algorithms
• Operating Systems
• Computer Networks
• Database Management Systems (DBMS)
• Object-Oriented Programming (OOP)

Strong analytical thinking and coding ability are essential.

Preferred Technical Skills

Programming

Knowledge of one or more programming languages:

• Python
• Java (preferred)
• C++
• Similar object-oriented languages

Backend Development

Experience with:

• REST APIs
• FastAPI
• Flask
• Microservices
• Distributed systems

Databases

Understanding of:

• SQL
• NoSQL
• Data modeling
• Vector databases

Data Engineering

Knowledge of:

• ETL pipelines
• Data processing
• Data management

Artificial Intelligence

Exposure to:

• Machine Learning
• Deep Learning
• Generative AI
• Enterprise AI applications

Large Language Models

Understanding of:

• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• AI Agents
• Embeddings
• LLM orchestration frameworks

Cloud & DevOps

Knowledge of:

• Docker
• Kubernetes
• Git
• CI/CD
• AWS
• Azure
• Google Cloud Platform (GCP)

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Company Rating & Reviews

Overall Rating: ⭐⭐⭐⭐☆ (4.4/5)

What Employees Like

• Excellent engineering culture
• High-quality technical projects
• Strong compensation and benefits
• Exposure to cutting-edge AI technologies
• Collaborative work environment
• Learning opportunities with experienced engineers

Common Challenges

• Technical interviews are highly competitive
• Fast-paced development environment
• High expectations for problem-solving and coding skills

Overall, Qualcomm is widely regarded as one of the best technology companies for software engineers and AI professionals.

Estimated Salary

Qualcomm has not officially disclosed the salary for this position.

Based on similar AI Platform and Software Engineer roles in Hyderabad, the estimated annual compensation is:

The final compensation depends on educational background, interview performance, technical expertise, and business requirements.

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Why You Should Apply

This role provides outstanding career opportunities, including:

• Work on cutting-edge Enterprise AI platforms
• Exposure to LLMs, AI Agents, and RAG systems
• Learn from world-class AI engineers
• Competitive compensation
• Global engineering projects
• Career growth into Senior AI Engineer, ML Engineer, or Technical Architect roles

For graduates interested in Generative AI, this is one of the strongest entry-level opportunities in India.

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How to Apply

Before applying, ensure your resume highlights:

• Strong academic performance
• Programming languages
• Data Structures & Algorithms expertise
• AI or ML projects
• Backend development experience
• Cloud technologies
• GitHub portfolio
• Internships or hackathon participation

Candidates who demonstrate excellent programming ability, strong computer science fundamentals, and genuine interest in AI technologies will have the best chances of succeeding in Qualcomm’s recruitment process.

Disclaimer:
This information is collected from official/public sources for informational purposes only. Salary estimates are based on market research and may vary. We do not charge any fee for job updates and do not guarantee selection or recruitment. Candidates should verify details from the official source before applying.