Engineer/Associate Engineer - AI Platform

Qualcomm's interview process typically starts with an online coding assessment focusing on data structures, algorithms, and basic programming. Successful candidates move to a technical interview that blends coding, system design, and AI‑related questions. The final HR round assesses cultural fit, communication skills, and motivation. Preparation should emphasize problem‑solving speed, clear articulation of design choices, and a solid grasp of AI fundamentals.

Qualcomm India fosters a collaborative and innovative work culture where engineers are encouraged to experiment and learn. The company offers clear growth trajectories, mentorship programs, and a balanced work‑life environment that respects personal time while delivering high‑impact projects.

Bachelor's or Master's degree in Computer Science, Engineering, Information Systems or related field from a recognized institution; CGPA/GPA of 8.5+ (or equivalent 70%+); 0–1 year of experience (fresh graduates encouraged); no active backlogs at the time of joining; eligible batch years 2024‑2026.

Round 1: Online Coding Test (DSA & basic coding) → Round 2: Technical Interview (system design, AI concepts, coding) → Round 3: HR Interview (fit, motivations, compensation).

Qualcomm India Private Limited is a global leader in wireless technology, semiconductor design, and AI-driven solutions. With a strong focus on research and development, Qualcomm has built a reputation for delivering cutting‑edge products that power smartphones, automotive systems, IoT devices, and enterprise platforms. The company’s Indian operations serve as a hub for software innovation, collaborating closely with global teams to bring next‑generation experiences to millions of users worldwide. Employees benefit from a culture that encourages curiosity, continuous learning, and the freedom to experiment with emerging technologies such as 5G, AI, and edge computing. The AI Platform team within Qualcomm’s Enterprise AI division is dedicated to accelerating AI adoption across the organization. As an Engineer/Associate Engineer, you will be part of a fast‑growing group that builds end‑to‑end AI solutions, ranging from large language model (LLM) applications to retrieval‑augmented generation (RAG) pipelines. Your work will directly influence how internal engineering teams automate workflows, improve developer productivity, and deploy AI models at scale. This role offers a unique blend of software engineering, data engineering, and AI research, providing a solid foundation for a career in enterprise AI. **Key Responsibilities:** 1. Design, develop, and maintain backend services for AI platforms using Python, Java, or C++. 2. Build and expose RESTful APIs (FastAPI/Flask) for model inference and data pipelines. 3. Implement ETL workflows to ingest, clean, and transform large datasets for training and evaluation. 4. Develop and integrate vector‑based storage solutions and NoSQL databases for efficient similarity search. 5. Create prompt‑engineering and context‑management modules for LLM‑driven applications. 6. Collaborate with hardware and system teams to optimize model deployment on edge devices and cloud environments. 7. Write unit, integration, and performance tests to ensure code quality and reliability. 8. Participate in code reviews, contribute to design discussions, and document architectural decisions. 9. Monitor production systems, troubleshoot issues, and continuously improve performance and scalability. 10. Stay updated with the latest AI research and translate promising techniques into production‑ready features. **Tech Stack:** Python, Java, C++, FastAPI/Flask, REST, Docker, Kubernetes, Git, CI/CD, SQL/NoSQL, vector databases, AWS/Azure/GCP, LLM frameworks (e.g., LangChain, Hugging Face), basic Linux/Unix. **Growth Path:** Starting as an Engineer, you can progress to Senior Engineer, Lead Engineer, and eventually AI Platform Manager or Principal Engineer, with opportunities to specialize in AI research, cloud infrastructure, or product ownership. **Why Join Qualcomm:** You will work at the forefront of AI and wireless technology, gain exposure to large‑scale systems, and collaborate with world‑class experts. Qualcomm offers competitive compensation, robust learning programs, and a supportive environment that values innovation and diversity. This role is an excellent launchpad for fresh graduates eager to make an impact in enterprise AI.