C++ Developer

Interested Candidates must fill the following form: https://docs.google.com/forms/d/e/1FAIpQLSfFnSbE-qyAyTafgySjNtqYCFqf9WXI_HiB9KxhpoWX6JNGxw/viewform?usp=sharing

Job Title: C++ Developer  

Location: Chetpet, Chennai, Tamil Nadu 

Experience: 2+ years 

Employment Type: Full-time 

Job Description: 

We seek a skilled C++ Developer with hands-on experience in firmware development, kernel programming, image processing, GStreamer pipelines, and AI application development. The ideal candidate will work on low-level programming, embedded systems, and real-time processing, ensuring optimized performance for AI-driven applications. 

Key Responsibilities: 

• Develop and optimize firmware for embedded systems using C++. 
• Work with Linux Kernel development, including device drivers, memory management, and debugging. 
• Implement and integrate image processing algorithms for real-time applications. 
• Design and develop GStreamer pipelines for video/audio streaming. 
• Integrate AI/ML models into embedded platforms and optimize for performance. 
• Debug and optimize system performance on resource-constrained devices. 
• Work closely with hardware engineers to interface with sensors and cameras. 
• Optimize GPU/CPU performance for high-speed processing. 

Required Skills & Experience: 

• 2+ years of hands-on experience in C++ development for embedded systems. 
• Strong experience with Linux Kernel development, device drivers, and real-time OS (RTOS). 
• Proficiency in image processing and computer vision techniques. 
• Experience with GStreamer pipelines for multimedia applications. 
• Knowledge of AI frameworks such as TensorFlow, OpenCV, or PyTorch. 
• Hands-on experience with hardware interfaces (I2C, SPI, UART, USB). 
• Strong understanding of multithreading, memory management, and system optimization. 
• Experience with Linux-based embedded development and BSP (Board Support Package) customization. 
• Familiarity with OpenGL, CUDA, or Vulkan for performance acceleration. 

Nice-to-Have: 

• Exposure to edge AI deployments on NVIDIA Jetson, Raspberry Pi, or ARM Cortex. 
• Prior experience in ROS (Robot Operating System) or autonomous systems. 
• Understanding of real-time scheduling and inter-process communication (IPC).