Embedded AI Engineer

Embedded AI / Computer Vision Engineer

Location: Hyderabad

Experience: 3–5 years

Employment: Full-time

We are looking for a hands-on Embedded AI / Computer Vision Engineer to develop real-time AI and vision applications for edge devices.

What you'll do

• Develop AI and Computer Vision applications using C++ and Python.
• Build real-time vision pipelines using OpenCV, GStreamer, and related frameworks.
• Deploy and optimize AI/ML models on edge computing platforms.
• Develop high-performance, multi-threaded applications for Linux and RTOS-based systems.
• Develop visualization and user interfaces using Qt/QML.
• Integrate cameras, sensors and other hardware peripherals.
• Optimize AI inference, memory usage, latency and system performance on edge hardware.
• Debug and validate AI/vision systems on embedded platforms.
• Work closely with embedded software, hardware, robotics and systems teams.

What we're looking for

• 3–5 years of experience in Embedded AI / Computer Vision / Edge Computing.
• Strong programming skills in C++ and Python.
• Hands-on experience with OpenCV.
• Practical experience developing and deploying AI/ML models on edge devices.
• Strong understanding of Linux-based embedded systems.
• Experience with multi-threading, real-time processing and performance optimization.
• Experience with Qt/QML is preferred.
• Strong understanding of Git, CMake and software debugging tools.

Education: B.E./B.Tech/M.E./M.Tech in AI/ML, Electronics, ECE, Robotics or a related field.

Good to have: Experience with TensorRT, ONNX Runtime, PyTorch, TensorFlow, CUDA, NVIDIA Jetson, ARM platforms, Docker, ROS 2 and GPU acceleration.