Company :Qualcomm India Private Limited

Job Area :Engineering Group, Engineering Group > Systems Engineering

General Summary :

- We are looking for a passionate and hands-on Engineer (1-2 year's experience) to join our AI Camera Systems team at Hyderabad.
- The role focuses on building AI-driven imaging solutions for real-time embedded systems(Mobile, IOT, XR).
- You will work on development & integration of deep learning-based imaging algorithms into production camera pipelines, with solid emphasis on performance, latency, and hardware efficiency.
- This role is ideal for engineers who combine strong fundamentals in computer vision and deep learning with low-level embedded system development, and who enjoy translating AI algorithms into real-world, device-level solutions.
- You will collaborate closely with hardware, software, model, tuning, testing & customer engineering teams to deliver high-quality, scalable imaging features across the complete chipset development & commercialization life cycle.

Roles & Responsibilities

- Develop, integrate, and optimize deep learning-based imaging solutions for embedded camera systems
- Implement & optimize computer vision and image processing pipelines for real-time execution
- Work on deploying and optimizing deep learning models for imaging tasks such as enhancement, detection, segmentation and other ISP-related features
- Translate AI models into performance-optimized embedded implementations, considering memory, latency,



and power constraints
- Leverage GPU, DSP, and other hardware accelerators to accelerate AI and imaging workloads
- Collaborate with model & framework teams to design hardware-aware AI solutions aligned with sensor, ISP, and SoC capabilities
- Work with embedded OS concepts including processes, threads, memory management, and scheduling
- Design, implement, and debug inter-process communication (IPC) mechanisms in complex camera systems
- Participate actively in SDLC, including requirement analysis, design reviews, development, testing, integration, debugging, and performance tuning
- Analyze and resolve system-level issues related to image quality, AI inference performance, stability, and scalability
- Strong foundation & hands-on in C, C++ & Python
- Hands-on with Qualcomm-based platforms, understanding camera subsystems, DSP offload, and SoC-level optimization, would be a plus.

Minimum Qualifications :

- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

If you would like more information about this role, please contact Qualcomm Careers.

📌 Ai Camera Systems Engineer (Hyderabad)
🏢 Qualcomm
📍 Hyderabad