Qualcomm Career India 2026 Hiring Associate Engineer – AI Platform

8
Qualcomm Career India 2026
Qualcomm Career India 2026

Qualcomm Career India 2026 Hiring Associate Engineer – AI Platform

Qualcomm Career India 2026 is inviting applications for the role of Associate Engineer – AI Platform. This is a great opportunity for freshers and early-career professionals to join one of the world’s leading semiconductor and telecommunications companies. Candidates with a strong background in artificial intelligence, machine learning, software development, and programming are encouraged to apply. Work on cutting-edge AI technologies and contribute to innovative solutions at Qualcomm.

Job Details:

  • Designation: Associate Engineer – AI Platform
  • Company: Qualcomm
  • Educational Qualification: B.E/B.Tech/M.E/M.Tech
  • Experience Required: 0 – 1 Year
  • Location: Hyderabad, Telangana, India
  • Compensation: Best in Industry

General Summary:

As a leading technology innovator, Qualcomm pushes the boundaries of what’s possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces.

Minimum Qualifications:

  • Bachelor’s degree in Engineering, Information Systems, Computer Science, or related field.

About the Team:

We are Qualcomm’s Enterprise AI team, focused on accelerating AI adoption across the organization. Our team builds end-to-end AI solutions that empower engineering teams through intelligent automation and developer productivity.

Our work spans a broad spectrum of AI engineering, including:

  • Enterprise AI platforms and developer tools.
  • AI agents and agentic workflows.
  • Large Language Model (LLM) applications and post-training pipelines.
  • Model deployment and inference at enterprise scale.
  • Retrieval-Augmented Generation (RAG), knowledge systems, and AI infrastructure.
  • Close collaboration with domain engineering teams to solve real-world problems using cutting-edge AI technologies.

As part of the team, you’ll have the opportunity to work on large-scale AI systems that are shaping the future of software engineering within Qualcomm.

Candidate Requirements:

  • Bachelor’s or Master’s degree in Computer Science or a related field from a reputed institution.
  • Strong academic record, preferably CGPA/GPA of 8.5+.
  • 0–1 year of experience; exceptional fresh graduates are encouraged to apply.
  • Strong foundation in Data Structures & Algorithms, Operating Systems, Computer Networks, DBMS, and Object-Oriented Programming.
  • Demonstrated ability to write clean, efficient, and scalable code with strong problem-solving skills.
  • Good understanding of backend systems, software engineering principles, and development best practices.
  • Passion for learning AI technologies and building impactful software solutions.

Preferred Technical Skills:

Candidates with exposure to the following technologies and concepts will have an advantage:

  • Programming: Python, Java (preferred), C++, or similar programming languages.
  • Backend Development: REST APIs, FastAPI/Flask, microservices, distributed systems, and software design principles.
  • Databases: SQL, NoSQL, data modeling, and vector databases.
  • Data Engineering: ETL pipelines, data processing, and data management fundamentals.
  • Artificial Intelligence & Machine Learning: Machine Learning fundamentals, Deep Learning basics, and practical experience with Generative AI.
  • Large Language Models (LLMs): Prompt engineering, context engineering, Retrieval-Augmented Generation (RAG), AI agents, embeddings, and model orchestration frameworks.
  • Cloud & DevOps (Preferred): Docker, Kubernetes, Git, CI/CD, and cloud platforms such as AWS, Azure, or GCP.
  • Software Engineering: Strong debugging skills, system design fundamentals, testing, and version control using Git.

Interested students can apply directly at 👉 Qualcomm Career India 2026

For the latest updates and career opportunities: