Qualcomm Engineer Associate Engineer AI Platform Jobs 2026 | Freshers Apply

Qualcomm Engineer/Associate Engineer – AI Platform Jobs 2026 | Freshers Apply

Qualcomm India Private Limited is inviting applications for the Engineer/Associate Engineer – AI Platform position at its Hyderabad office. This is an exciting opportunity for fresh graduates and candidates with up to one year of experience who are passionate about Artificial Intelligence, software engineering, backend development, and cloud technologies. Candidates with strong programming and problem-solving skills are encouraged to apply.

Joining Qualcomm’s Enterprise AI team allows candidates to work on cutting-edge AI platforms, Large Language Models (LLMs), enterprise automation, and developer productivity solutions. The role offers outstanding learning opportunities while collaborating with experienced engineers on large-scale AI systems that support next-generation software engineering across the organization.

Job Summary

Role Overview

The Engineer/Associate Engineer – AI Platform role is part of Qualcomm’s Enterprise AI team responsible for accelerating AI adoption across the organization. Engineers work on enterprise AI platforms, developer productivity tools, AI agents, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), model deployment, and scalable AI infrastructure that powers next-generation software engineering solutions.

Selected candidates will collaborate with software engineers, AI specialists, and domain experts to build enterprise-grade AI applications, backend systems, and cloud-based solutions. This role offers excellent exposure to modern software engineering, Generative AI, cloud computing, machine learning, distributed systems, and enterprise application development.

Key Responsibilities

• Design, develop, create, modify, and validate embedded and cloud-edge software applications.
• Build enterprise AI platforms and developer productivity tools.
• Develop AI agents and agentic workflows.
• Contribute to Large Language Model (LLM) applications and post-training pipelines.
• Support model deployment and inference at enterprise scale.
• Work on Retrieval-Augmented Generation (RAG), knowledge systems, and AI infrastructure.
• Collaborate with systems, hardware, architecture, testing, and engineering teams.
• Develop scalable software solutions following software engineering best practices.

Required Skills & Eligibility

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field.
• Strong academic record, preferably CGPA/GPA of 8.5 or above.
• Freshers and candidates with 0–1 year of experience are eligible.
• Excellent knowledge of Data Structures & Algorithms, Operating Systems, Computer Networks, DBMS, and Object-Oriented Programming.
• Strong programming skills in Python, Java (preferred), C++, or similar languages.
• Knowledge of REST APIs, FastAPI/Flask, microservices, distributed systems, and backend development.
• Understanding of SQL, NoSQL, data modeling, ETL pipelines, and vector databases.
• Knowledge of Machine Learning, Deep Learning, Generative AI, LLMs, Prompt Engineering, RAG, AI agents, and embeddings.
• Familiarity with Docker, Kubernetes, Git, CI/CD, AWS, Azure, or GCP is an advantage.
• Strong debugging, problem-solving, communication, and software engineering skills.

Salary Insights

Qualcomm has not officially disclosed the salary package for this position. Based on current market standards, candidates joining similar AI Software Engineering roles may expect approximately ₹12–18 LPA. This estimate reflects industry trends and should not be considered Qualcomm’s official compensation.

Why This Role Is a Good Opportunity

This opportunity allows fresh graduates to work with one of the world’s leading semiconductor and AI technology companies. Candidates gain practical experience in Artificial Intelligence, Machine Learning, Generative AI, Large Language Models, cloud computing, backend engineering, enterprise software development, and scalable AI infrastructure. The technical exposure, mentorship, and innovative work environment make this an excellent career opportunity for aspiring AI Engineers, Software Engineers, Machine Learning Engineers, and Cloud Developers.

📘 Recommended Skills & Learning Resources

Strengthening your AI, programming, cloud, and database skills can significantly improve your chances during the recruitment process.

• Python Course and Notes
• AWS Cloud Course
• SQL Course and Notes

🎯 Interview Preparation Resources

Prepare your DSA, system design, programming, AI fundamentals, and interview skills before attending the Qualcomm selection process using these resources.

• Top AI & ML Engineer Interview Questions for Freshers
• Complete Interview Guide for Freshers 2026

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• Latest Software & IT Jobs for Freshers
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How to Apply for Qualcomm

1. Click the Apply Now button below.
2. Visit the official Qualcomm Careers portal.
3. Review the eligibility criteria and complete job description.
4. Complete the online application form.
5. Upload your updated resume and academic details.
6. Submit your application through the official careers website.

Apply Now – Qualcomm

Q1. Who can apply for this role?

Fresh graduates and candidates with 0–1 year of experience holding a Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related fields can apply.

Q2. What is the expected salary?

Qualcomm has not officially announced the salary package. Based on current market standards, similar AI Platform Software Engineering roles generally offer approximately ₹12–18 LPA.

Q3. Is this a remote, hybrid, or office-based role?

This position is based in Hyderabad, Telangana. Candidates should follow the work model communicated by Qualcomm during the recruitment process.

Continue exploring the latest AI, software engineering, and cloud computing opportunities, strengthen your programming and problem-solving skills, prepare thoroughly for technical interviews, and visit regularly to stay updated with fresh graduate hiring from leading technology companies.