AI Camera Systems Engineer

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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