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Senior Embedded C/C++ Engineer - Camera Integration

Spectrum Talent Management
12 - 16 Years
Gurgaon/Gurugram

Posted on: 07/05/2026

Job Description

Job Title : Senior Embedded C/C++ Engineer - Camera Integration


Experience Required : 12+ Years


Location : Gurugram


Role Overview :


We are seeking a highly experienced Embedded C/C++ Engineer with deep expertise in camera integration and vision programming. The ideal candidate will have a strong background in embedded systems, AI-driven camera solutions, and sensor technologies, with proven experience in delivering production-grade embedded software for advanced imaging applications.


Key Responsibilities :


- Design, develop, and optimize embedded C/C++ software for camera systems and sensor integration.


- Lead camera integration projects, ensuring seamless interaction between firmware and AI-driven vision modules.


- Collaborate with cross-functional teams to implement AI algorithms for image processing, object detection, and vision-based applications.


- Work with camera sensors and embedded hardware platforms to deliver high-performance solutions.


- Drive innovation in embedded AI and vision programming, contributing to architecture, design, and system-level decisions.


- Troubleshoot, debug, and optimize embedded software for performance, reliability, and scalability.


- Mentor junior engineers and provide technical leadership in embedded camera systems.


Required Skills & Expertise :


- Strong proficiency in Embedded C/C++ programming.


- Hands-on experience with camera integration and camera sensors.


- Knowledge of AI concepts and their application in embedded vision systems.


- Expertise in embedded software development for real-time systems.


- Experience with sensor technologies and vision programming frameworks.


- Strong problem-solving and debugging skills in embedded environments.


Preferred Qualifications :


- Exposure to AI/ML frameworks for vision (e.g., TensorFlow Lite, OpenCV).


- Experience with embedded Linux, RTOS, or custom firmware development.


- Familiarity with hardware interfaces (I2C, SPI, MIPI, etc.) for camera and sensor integration.


- Prior leadership experience in embedded system design and delivery.

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