HP Senior Edge Artificial Intelligence System Engineer 

Taiwan, New Taipei 

150360293

Senior Edge Artificial Intelligence System Engineer

Description -

As a Master Level Edge AI Engineer, you will play a critical role in the design, implementation, and optimization of AI models across various hardware platforms with our company, HPI. Your expertise will ensure seamless deployment and efficient execution of AI algorithms on edge devices, while maintaining a focus on data integration andstorage architecture.

AI Model Design and Optimization:

• Lead thedesign, implement, and optimize AI algorithms to run efficiently on edge devices and other hardwareplatforms.

• Utilize profiling tools and performance analysis to identify areas for model optimization.

Frameworks and Inference Engines:

• Work with AI frameworks such as TensorFlow, PyTorch, and ONNX to develop and optimize models.

• Utilize inferenceSW toolkitslike OpenVino, QNN/SNPE, RyZen AI, DirectML, and TensorRT to achieve high-performance execution.

Architecture and Tech Stack Design:

• Design and implement architecture and tech stack for data integration, data flow, and data storage for MLsolutions.

• Ensure seamless integration of models with production systems.

Model Deployment and Integration:

• Deploy AI models to production environments, ensuring they operate efficiently andreliably.

• Integrate models with existing production systems and

Research and Innovation:

• Stay current with the latest advancements in AI technologies and deployment

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• Collaborate with cross-functional teams, including hardware and software engineers, to achieve optimal AI model deployment.

• Document strategies, methodologies, and outcomes to facilitate continuous improvement.

Required Skills

• Strong programming skills in languages such as C, C++, andPython.

• Skilled with at least one AI framework such as TensorFlow, PyTorch, or ONNX.

• Proven ability to design and optimize algorithms to run on edge devices.

• Familiarity with one of the inference engines such as OpenVino, QNN/SNPE, RyZen AI, DirectML, TensorRT.

• Experience in designing and implementing architecture for data integration, flow, storage and ML solutions.

• Proven track record in integrating models with production systems.

• Strong problem-solving skills and a passion for

Qualifications

• Master’s in MIS, Computer Engineering, or a related field, or equivalentexperience.

• Experience with Generative AI integration, Cloud AI and Edge AI.

• Experience with parallel programming using OpenCL, SYCL, orCUDA.

• Proven experience in memory optimization for AI

• Knowledge of the end-to-end runtime stack for AI

• Excellent knowledge of theory and practice of computer vision, natural language processing, speech/audio processing, and deep learning

Additional Qualifications (A plus)

• Experience with machine learning compiler development.

• Experience with hardware design trade-off analysis.

• Experience with development on top of IIama.cpp

Full time

No shift premium (Taiwan)

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