
Advanced AI Solutions Architect
3 days ago
**Job Title:** Advanced AI Solutions Architect
About the RoleWe are seeking a seasoned professional to lead the design and development of cutting-edge IoT solutions with AI capabilities for edge devices.
The ideal candidate will have expertise in architecting large-scale, distributed Edge AI systems for real-time inference across thousands of devices. Additionally, they will be responsible for leading hardware-aware model development optimized for deployment on platforms like NVIDIA Jetson, Qualcomm Snapdragon, Intel Movidius, and ARM Cortex-A/NPU chips.
The role involves designing pipelines for edge inferencing with low-latency, low-power, and high-accuracy constraints. The selected candidate will also be responsible for performance tuning using tools like TensorRT, ONNX Runtime, TVM, and OpenVINO.
Furthermore, the successful applicant will build scalable, secure model deployment platforms using NVIDIA Triton, Edge Kubernetes (K3s), and MLOps frameworks. They will integrate AI with real-world data sources: video streams, sensor fusion (IMU, LiDAR), audio, etc.
Collaboration with firmware, hardware, and platform teams is essential for system-level optimization. Defining strategies for OTA model updates, fleet-wide monitoring, and privacy-preserving AI is also a key responsibility.
The selected candidate should stay ahead of emerging trends in tinyML, neural architecture search (NAS), zero-shot inference, and federated learning.
Key Responsibilities- Architect large-scale, distributed Edge AI systems for real-time inference.
- Lead hardware-aware model development for various platforms.
- Design pipelines for edge inferencing with specific constraints.
- Perform tuning using various tools.
- Build scalable, secure model deployment platforms.
- Integrate AI with real-world data sources.
- Collaborate with multiple teams for system-level optimization.
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