Senior Applications Engineer - Embedded AI (Italy based)

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Requirements:

• Proven hands-on experience with edge deployment frameworks such as OpenVINO or TensorRT
• Proficiency in AI application development using Python, with extensive experience in ML libraries such as PyTorch and TensorFlow
• Demonstrated ability to build and deploy end-to-end pipelines with quantized models
• Experience in training models using transfer learning to leverage pre-trained models for new tasks
• Experience with MLIR and ONNXRuntime a plus
• Strong problem-solving skills and an ability to troubleshoot and debug complex multi-dimensional problems
• Proficient Linux skills
• Practical knowledge of agile development using tools such as Jira, Git and GitHub

Responsibilities:

• Studying research papers, open-source code repositories and product documentation to deploy new models using the Voyager SDK, and evaluating their performance and accuracy
• Implementing image pre and post processing operators, collaborating with the compiler team to troubleshoot compilation issues, and writing decoders that transform inference tensors to metadata for ease of use by application developers
• Integrating popular industry-standard model frameworks within the SDK to facilitate low-code and no-code deployment of many customer models and datasets
• Defining metadata representations for common types of models (such as bounding boxes and keypoints), creating libraries for evaluating deployed model accuracy on Axelera AI hardware and creating libraries for visually rendering inference results
• Optimizing end-to-end pipeline latency and throughput, root causing any bottlenecks arising on supported hardware platforms, and developing profiling tools to help customers more easily analyse and understand bottlenecks in their own pipelines
• Writing and maintaining comprehensive product documentation and sharing knowledge with team members, promoting best practices and continuous improvement