Job Description
Embedded AI Engineer
Department: Engineering / R&D
Location: Dwarka Sec-11
Experience: 12 Years
Salary: As per company standards
Employment Type: Full-Time
Job Description:
We are looking for a skilled Embedded AI Engineer to design, develop, and deploy AI/ML models on embedded hardware platforms. The role involves working at the intersection of embedded systems, machine learning, and edge AI to build intelligent, real-time solutions.
Key Responsibilities:
Develop and deploy AI/ML models on embedded and edge devices
Optimize ML models for low power, memory, and real-time performance
Design and develop embedded firmware for AI-enabled systems
Work with microcontrollers, SoCs, and AI accelerators
Integrate sensors, cameras, and peripherals with AI applications
Implement computer vision, signal processing, or audio AI solutions
Perform system testing, debugging, and performance optimization
Collaborate with hardware, robotics, and software teams
Prepare technical documentation and deployment guides
Ensure reliability, security, and scalability of embedded AI systems
Required Skills & Qualifications:
B.E./B.Tech or M.E./M.Tech in Electronics, Embedded Systems, AI, or related field
Strong experience in embedded systems and firmware development
Proficiency in C/C++, Python, and embedded Linux
Experience with AI/ML frameworks (TensorFlow Lite, PyTorch, ONNX)
Knowledge of model optimization techniques (quantization, pruning)
Hands-on experience with microcontrollers and SoCs (ARM, ESP32, NVIDIA Jetson, etc.)
Understanding of real-time operating systems (RTOS)
Strong problem-solving and debugging skills
Preferred Skills:
Experience with computer vision (OpenCV, YOLO)
Knowledge of robotics, automation, or IoT systems
Familiarity with hardware accelerators (TPU, NPU, GPU)
Key skills requred
