Senior Edge Artificial Intelligence System Engineer jobs at Hp in Taiwan, New Taipei

Responsibilities:

• Designs engineering solutions to test and evaluate AI ISV, systems, equipment, and devices based on established engineering principles and in accordance with provided specifications and requirements.

• Develops and implements test plans, schedules, and requirements for all portions of new and existing designs; designs and provides leadership for outsourced and in- house testing resources building and operating test tooling, fixtures, scripts, automation, and apparatuses.

• Collaborates and communicates with management, internal, and outsourced testing and development partners regarding testing status, project progress, test results, and issue resolution.

• Leads a project team of other test engineers and internal and outsourced testing partners to develop and execute reliable, cost effective and high-quality test solutions for moderately complex products.

• Represents the test engineering team for all phases of larger and more- complex development projects.

• Provides guidance and mentoring to less- experienced staff members.

Education and Experience Required:

• Bachelor's or Master's degree in Computer Science, Information Systems, Electrical Engineering, or equivalent.

• Typically 12+ years’ experience in system integration validation.

• AI-related Software experience is highly preferred.

Knowledge and Skills:

• Using testing tools and software packages to automate test processes.

• Strong analytical and problem-solving skills.

• Understanding of material properties and hardware and electrical component design.

• Using empirical analysis, modeling, and testing methodologies to validate product designs and specifications.

• Excellent written and verbal communication skills; mastery in English and local language. Ability to effectively communicate testing plans, proposals, and results, and negotiate options at management levels.

• Be able to self-initiative and drive complex validation process change that transform the way and exceed future of work need.

• Proven track record to use data to influence executive on decision making.

• Support validation management team on cross org strategic program that lead to cost optimization and process efficiency.

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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.

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

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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 or your EEO rights as an applicant under the law, please click here:

Description -

In this role,

• you will work closely with our ODM and suppliers to conduct market intelligence analysis, integrate and interpret data, and provide strategic recommendations.

• You will independently develop solutions for supply chain projects, manage complex issues using your extensive industry knowledge, and optimize supply chain performance.

• Collaborating with peers and senior management, you will help establish supply chain plans, monitor industry trends, and contribute to competitive strategies.

Key Responsibilities:

• Develop innovative solutions for supply chain projects, managing complex issues with in-depth industry knowledge.

• Consolidate and interpret data collected from procurement team members to prepare comprehensive Market Intelligence (MI) reports for Supply Chain and GBU Management team.

• Track and analyze competitor market activities to identify emerging trends, benchmarking opportunities, and potential risks to inform strategic decision-making

• Engage with industry analysts to collect and consolidate market data, providing valuable insights to enhance supply chain resilience, cost-efficiency, and competitive advantage.

• Lead strategic supply chain projects, from planning to execution, and present findings with actionable recommendations to key stakeholders.

• Collaborate with cross-functional teams to execute project and ensure alignment with organizational objectives.

• Support the creation and refinement of competitive supply chain strategies through ongoing intelligence gathering and market analysis

Qualifications:

• Bachelor's degree or higher in Supply Chain Management, Manufacturing Engineering, Operations Management, Business Administration, or a related field, or equivalent work experience.

• Typically 6+ years experience in supply chain analysis and market intelligence in PC, semiconductor, or related industry.

• Strong analytical skills with the ability to synthesize complex data into actionable insights.

• Excellent communication and presentation skills, capable of engaging with senior management and cross-functional teams.

• Ability to compose clear and impactful presentation slide decks using the collected data.

• Expertise in leveraging data visualization tools and advanced analytics software.

• Strategic mindset with a proactive approach to problem-solving and decision-making.

• Excellent communication and presentation skills, capable of engaging with senior management and cross-functional teams.

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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.