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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.
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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
:
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:
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Responsibility
Required Skill Set / Capabilities
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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.
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Job Summary
As the supply chain interface for the display project, this role is responsible for the management of materials and the delivery of manufactured products throughout the entire Product Life Cycle (PLC) from project initiation to end of life. Coordinate the resources of various supply chain departments to ensure the project progress and the achievement of manufactured products delivery. Participate in the phase reviews of the project, fully identify material and delivery risks, and promote relevant parties to solve them. Follow up on the production and delivery issues of new projects, prompt relevant parties to quickly locate and solve problems, and ensure that the delivery targets are achieved according to the product plan.
Responsibilities
Formulates KPIs for supply chain management during the new product introduction phase and monitors the implementation and improvement of process efficiency.
Participates in the POR and phase reviews of new models to fully identify material and delivery risks and promote relevant parties to solve them.
Oversees BOM (Bill of Material) creation, Cost upload, Material preparation, GTK (Guided Turnkey) vendor qualification, Tooling status, RTP (Ready to Perform), Market share adjustment etc.
Manages activities of supporting project teams and internal development partners; ensures progress against established plan and makes determinations based on analysis of business information to alter or update schedule and resource allocation to meet product requirements and development schedule.
Coordinates supply chain related problem solving, Region request, Marketing request, Rework request and coordination, PLC & regulation extend/EOL (End-of-life)track
Supply chain management related Data collection, Material shortage mitigation, Market share adjustment
Manages product changes and track the implementation status in each region.
Analyzes the existing supply chain management processes, identify bottlenecks, and propose optimization plans.
Communicates program progress, escalations, and issue analysis related with supply chain to product stakeholders; collaborates with management and internal manufacturing and development partners to recommend and implement changes to product, processes, or business practices to resolve escalated issues, produce solutions, and ensure adherence to budgets and established product roadmaps and schedules.
Education & Experience Recommended
Bachelor's degree or above, major is not limited.
10+ year working experience of Program Management in Display industry.
Professional knowledge of supply chain management, program/project management, and process control in display manufacturing industry. Preference will be given to candidates with display management experience or Supply Chain Program Management experience in notebook computers (NB), desktops (DT), etc.
Excellent organizational, communication, and personal work management skills.
Have the courage to take responsibility, be result-oriented, and able to achieve goals.
Proficient in both English and Chinese to meet the communication needs with regions and ODMs.
Knowledge & Skills
Agile Methodology
Change Management
Logistic management
Material management
Milestones (Project Management)
New Product Development
Process Improvement
Product Management
Project Engineering
Project Planning and management
Risk Management
Cross-functional Skills
Effective Communication
Results Orientation
Learning Agility
Digital Fluency
Customer Centricity
Works on complex problems where analysis of situations or data requires an in - depth evaluation of multiple factors.
This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.
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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.
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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.
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Description -
If you are our Commercial Cost Operations Analyst in Taiwan, you will have a chance to:
Execute/drive the Cost Management Process focused on end-to-end costs including regular stakeholder reviews and preparation of cost analytics/dashboards to create visibility and drive improvement
Engage with stakeholder organizations in R&D, Supply Chain, Procurement, Product Management, and Finance to align product cost targets with product requirements and business objectives before during, and after RFQ processes
Support product development processes by creating and managing the ability to analyze cost scenarios under differing design and procurement approaches
Working with procurement/supply chain, provides the BPS organization with a better understanding of the impact of future projected costs associated with key commodities, components, and non-material items to support business analysis and planning functions
Participate in analysis projects to better understand the cost competitiveness of HP products below the system level, focusing on key technologies, components,and commodities. Enable linkages between product management and supply chain to drive competitive advantage.
First-level university degree or equivalent experience; advanced university degree preferred.
Typically 12+ years of experience in cost analysis.
Familiar with PC product development process.
Identifies cutting-edge analytical tools, models, and methods for making key business decisions.
Excellent communication and influencing skills; mastery in English and local language.
Excellent internal and external relationship management skills.
Extensive knowledge and understanding of how to analyze business problems using Advanced Microsoft Office skills (Excel, PowerPoint, etc.), statistical analysis, and financial modeling.
Very Strong project management skills, with the capability to manage cross-functional teams in multiple geographies.
Strong business acumen and technical knowledge within the area of responsibility.
Very strong understanding of HP's overall supply chain strategy.
Excellent understanding of Material Requirements Planning (MRP), ATP, and master scheduling.
Excellent understanding of national and international trade requirements to align customs/trade functions with business objectives.
Thorough knowledge of inventory modeling and analysis.
Strong leadership skills including team-building conflict resolution and management.
Excellent understanding of developing and managing a trade compliance program.
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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.
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• This role is responsible for analyzing and interpreting complex data sets using statistical techniques to identify trends, patterns, and insights that can be used to form business decisions and improve organizational performance. The role designs and develops methods, processes, and systems to consolidate and analyze unstructured, diverse big data sources to generate actionable insights and solutions. The role develops programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.
• Oversees data mining using modern tools and programming languages.
• Develops predictive and prescriptive models of moderate complexity to surface insights; drives action, defines success measures and tracks performance of models.
• Drives the implementation of models to uncover patterns and predictions creating business value and innovation.
• Partners with data engineering teams across multiple business lines to build data pipelines, improve data assets, quality, metrics, and insights.
• Creates visualizations and other forms of communication that effectively showcase insights and findings to both technical and non-technical audiences.
• Leads a project team of data science professionals and provides guidance, training and mentoring to less experienced staff members.
• Collaborates and communicates with project team regarding project progress and issue resolution.
• Represents the data science team for all phases of larger and more-complex development projects.
• Identifies and recommends improvement upon existing methodologies by developing new data sources, testing model assumptions, and fine-tuning model parameters.
• Maintains proficiency within the data science domain by keeping up with technology and trend shifts.
• Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or any other related discipline or commensurate work experience or demonstrated competence.
• Typically has 4-7 years of work experience, preferably in data analytics, statistical modeling, machine learning, or a related field or an advanced degree with 3-5 years of work experience.
• Programming Language/s Certification (SQL, Python, or similar)
• Algorithms
• Amazon Web Services
• Apache Spark
• Artificial Intelligence
• Big Data
• Computer Science
• Data Analysis
• Data Mining
• Data Science
• Data Visualization
• Deep Learning
• Machine Learning
• Natural Language Processing
• Predictive Modeling
• Python (Programming Language)
• R (Programming Language)
• SQL (Programming Language)
• Statistical Modeling
• Statistics
• Tableau (Business Intelligence Software)
• Power Automate
• Effective Communication
• Results Orientation
• Learning Agility
• Digital Fluency
• Customer Centricity• Responds to moderately complex issues within established guidelines.
• This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.
HP offers a comprehensive benefits package for this position, including:
Health insurance
Dental insurance
Vision insurance
Long term/short term disability insurance
Employee assistance program
Flexible spending account
Life insurance
Generous time off policies, including;
4-12 weeks fully paid parental leave based on tenure
11 paid holidays
Additional flexible paid vacation and sick leave ( )
-
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.
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Share
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.
-
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.
These jobs might be a good fit