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 and storage architecture.

Key Responsibilities

AI Model Design and Optimization:

• Lead the design, implement, and optimize AI algorithms to run efficiently on edge devices and other hardware platforms.

• 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 inference SW toolkits like 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 ML solutions.

• Ensure seamless integration of models with production systems.

Model Deployment and Integration:

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

• Integrate models with existing production systems and workflows.

Research and Innovation:

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

Collaboration and Documentation:

• 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++, and Python.

• 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 innovation.

Qualifications

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

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

• Experience with parallel programming using OpenCL, SYCL, or CUDA.

• Proven experience in memory optimization for AI applications.

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

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

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

Join our team and play a pivotal role in shaping the future of AI technology. Apply now and be part of an organization committed to advancing the capabilities of AI systems!

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Equal Opportunity Employer (EEO) - 

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement