Qualcomm Off Campus Drive | Hiring Engineer/Associate Engineer – AI Platform | Hyderabad, Telangana, India
Qualcomm Off Campus Drive | Hiring Engineer/Associate Engineer – AI Platform | Hyderabad, Telangana, India
Qualcomm Off campus drive Details :
Job Role: Engineer/Associate Engineer – AI Platform
Job ID: 3093492
Qualification: Bachelor's degree in Computer Science or a related field
Salary: Depends on Interview
Experience: (Freshers)0 - 1 Years
Job Location: Hyderabad, India
Job Area : Software Engineering
Last date: ASAP
Engineer/Associate Engineer - AI Platform
Summary:
As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital and RF transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Systems Engineer, you will design a complete framework or system that influences the shaping of state-of-the-art mobile, edge, auto, AR/VR, compute, IOT, wearable products. Qualcomm Engineers collaborate with cross-functional teams (e.g., design, software, testing teams, etc.) to identify hardware testing needs and integrate components into products or systems.
Minimum Qualification:
- Bachelor's or Master's degree in Computer Science or a 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.
- 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.
- 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.
All interested and eligible candidates can apply online as soon as possible using the link below.
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