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 strong 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.
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