Edge AI Architect

24 hours ago

Bengaluru, Karnataka, India beBeeEdge Full time ₹ 15,00,000 - ₹ 20,00,000
Edge AI Architect Job Description

We are seeking a seasoned Edge AI Principal Architect to lead our team in designing, developing, and deploying cutting-edge IoT solutions with AI capabilities for edge devices. The ideal candidate will have expertise in architecting large-scale Edge AI systems for real-time inference across thousands of devices.

Responsibilities:

  • Architect distributed Edge AI systems for real-time inference on platforms like NVIDIA Jetson, Qualcomm Snapdragon, Intel Movidius, and ARM Cortex-A/NPU chips.
  • Lead hardware-aware model development optimized for deployment on edge platforms.
  • Design pipelines for low-latency, low-power, and high-accuracy edge inferencing.
  • Guide engineering trade-offs under real-world constraints.
  • Brief stakeholders on technical matters.

Required Skills and Qualifications:

  • Deep expertise in Edge AI systems, embedded deep learning, and AI model compression.
  • Strong knowledge of Edge AI frameworks: PyTorch, TensorFlow Lite, ONNX, TVM, Apache MXNet (optional).
  • Proficiency in Python, C++, and low-level embedded programming.
  • Experience with edge deployment stacks: Docker, Kubernetes (K3s, MicroK8s), Yocto, RTOS.
  • 10+ years of experience in AI/ML, with at least 3–5 years in edge/embedded environments.

Benefits and Requirements:

  • Ability to guide cross-functional teams.
  • Effective communicator with technical and non-technical stakeholders.
  • Leadership and management skills.

Preferred Qualifications:

  • MS or PhD in Electrical Engineering, Computer Science, Robotics, or related field.
  • Experience with robotics (ROS/ROS2), autonomous systems, or industrial IoT deployments.

This is a challenging role that requires a blend of expertise in IoT systems, edge computing, AI, and cloud technologies. We are looking for a professional who can make strategic decisions and implement innovative solutions in the Edge AI domain.

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