Description

In this role, you will be at the forefront of AI innovation, developing and optimizing models for edge devices. Your work will involve collaboration with cross-functional teams to integrate advanced AI solutions into hardware platforms, ensuring efficiency and performance.

Requirements

• •Master's degree or equivalent experience in Computer Science, Electrical Engineering, or a related field
• •5+ years of industry experience in AI/ML model development, optimization, and deployment
• •Strong expertise in AI model optimization techniques, including quantization, pruning, and benchmarking for edge hardware
• •Hands-on experience with transformer models and their deployment on embedded or constrained platforms
• •Proficiency in Python and C++ for AI model development and integration
• •Experience with AI frameworks such as TensorFlow, PyTorch, or ONNX, and their optimization for hardware targets
• •Familiarity with hardware platforms, including CPUs, NPUs, and accelerators
• •Experience in creating custom AI architectures for edge devices
• •Knowledge of Analog Devices hardware platforms or similar embedded systems
• •Strong problem-solving and debugging skills for AI applications on resource-constrained devices
• •Ability to work collaboratively in multidisciplinary teams

Tasks

• •Develop and optimize AI models for edge hardware
• •Focus on transformers for constrained devices
• •Implement quantization and pruning techniques
• •Utilize hardware-specific optimizations to enhance performance
• •Contribute to hardware benchmarking for model evaluation
• •Collaborate with hardware and software teams for integration
• •Participate in creating scalable AI building blocks for edge applications
• •Stay updated on AI optimization and edge computing advancements

Tools & Technologies