Total 66 technology development job vacancies in Art / Design / Entertainment category in The Philippines

Responsibilities:

• Design and simulate active/passive integrated photonic devices and circuits.
• Develop photonic device models and optimize performance metrics (efficiency, bandwidth, loss).
• Collaborate with fabrication teams to ensure design manufacturability (DFM).
• Conduct design verification and performance analysis via simulation and experimental data correlation.
• Support product development from concept to volume production.
• Document specifications and support test/integration teams.
• Other ad-hoc duties as assigned

Requirements:

• Master Degree with 3 years’ industry experience or PhD in EE/Optics/Physics
• Proficiency in photonic simulation tools (Lumerical, COMSOL, etc.).
• Strong knowledge of photonic device principles (waveguides, modulators, detectors, lasers)
• Experience with semiconductor fabrication processes and DFM.
• Familiarity with scripting for automation (Python, MATLAB).
• Background in silicon photonics, III-V, or hybrid integration is a plus.
• Strong analytical skills and ability to work in cross-functional teams.

Key Responsibilities:

• Architecture Design: Lead the design and implementation of scalable, automated, and secure cloud infrastructure. Define best practices for the development, deployment, and monitoring of systems and services.
• Automation: Develop and manage automation tools to streamline deployment processes, reduce manual tasks, and improve operational efficiency.
• CI/CD Pipeline: Design, implement, and maintain continuous integration and continuous delivery (CI/CD) pipelines to ensure faster and more reliable deployments.
• Cloud Infrastructure Management: Manage and optimize cloud resources (AWS, Google Cloud, Azure), ensuring systems are scalable, cost-efficient, and secure.
• Monitoring and Performance Optimization: Implement and manage monitoring and logging solutions to proactively identify and resolve issues, ensuring high availability and performance.
• Collaboration: Work closely with development, operations, and security teams to integrate DevOps practices, improve system reliability, and ensure smooth software delivery.
• Security and Compliance: Implement security best practices, including access management, encryption, and automated vulnerability scanning, to ensure the security of infrastructure and applications.
• Troubleshooting and Incident Management: Lead the troubleshooting of production issues, including root cause analysis and coordination of remediation efforts across teams.
• Mentorship: Provide leadership and mentorship to junior DevOps engineers, guiding them in implementing best practices and improving technical skills.

Qualifications:

• Education: Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent professional experience).
• Experience:5+ years of experience in DevOps engineering, cloud infrastructure management, or related fields.
  2+ years of experience in a leadership or architect role, designing and implementing large-scale systems and infrastructures.
  Extensive experience with CI/CD tools such as Jenkins, GitLab CI, CircleCI, or similar.
  Strong experience with cloud platforms such as AWS, Google Cloud, or Microsoft Azure.
  Expertise in containerization technologies (e.g., Docker, Kubernetes) and orchestration tools.
  Hands-on experience with infrastructure as code (e.g., Terraform, CloudFormation).
  Proficiency in scripting languages such as Python, Bash, or Ruby.
  Experience with monitoring tools like Prometheus, Grafana, ELK Stack, or Datadog.

• Mixed Development, Building, Residential Portfolio – To front projects and provide technical leadership and governance, supporting work winning, design, and multi-disciplinary delivery for Singapore markets.
• The role requires a BOA (Registered in Singapore), Architectural Masters/Degree, from Engineering Consultancy or Design/Architectural Practice with above 10 years of senior-level experience
• Managing budgets and risks, and ensuring high-quality delivery while balancing client and internal needs.
• Act as the key point of accountability, aligning client requirements with technical execution and team performance.

If the role resonates with you and your professional experience complements the responsibilities listed, send your resume to koh.dickson@bayesrecruitment.com

Dickson Koh, EA Registration R1103367

www.bayesrecruitment.com

Opportunity for Degree / Master's Degree Holders that eager to pursue a PhD while simultaneously maintaining a full-time position in the industry.

• Fully-Funded PhD Positions – Synthetic Data Generation
• Fully-Funded PhD Positions – Agentic AI & Edge Computing
• Fully-Funded PhD Positions – Small Multimodal Models

Reolink via Industrial Postgraduate Programme (IPP)

• We currently have three research topics available for Postgraduate Students interested in exploring these opportunities.

Reolink is a leading AI video security camera firm based in Singapore, driving innovation in intelligent visual technology for both home and business. Founded in 2009, our products are trusted by millions of users across more than 110 countries. At the forefront of smart surveillance, Reolink develops cutting-edge unified AI systems—such as Reon Eura—engineered to deliver superior on-device object recognition, predictive risk assessment, and intelligent contextual analysis. We are committed to pushing the boundaries of edge computing, computer vision, and autonomous AI to create the next generation of reliable, user-centric security applications.

Programme Structure (IPP)

Successful candidates will be full-time salaried employees at Reolink (the partnering company) while simultaneously pursuing full-time graduate studies (PhD) at NTU & NUS.

This unique arrangement offers:

• Competitive monthly salary + full PhD tuition coverage.
• Hands-on industry experience alongside academic research.
• Joint supervision by NTU / NUS faculty and Reolink R&D leaders.
• Direct application of research to real-world AI and computer vision products.

Requirements:

• Candidates must be strong in software engineering
• A Bachelor's degree or Master's Degree in Computer Science, Software Engineering, Computer Engineering, or a related field.
• Excellent programming skills ( Python, C++ and deep learning frameworks such as PyTorch / TensorFlow).
• Solid understanding of software design, system integration, and deployment best practices.
• Strong analytical and mathematical foundation.

Remarks:

• 5 Work Days, 8.30am-5.30pm / 9am-6pm
• Office Near to Kaki Bukit MRT, Singapore
• Medical Benefits Provided
• Entitled to Yearly Bonus & Performance Bonus

MAIN DUTIES AND RESPONSIBILITIES:

• Design, develop, troubleshooting and debug PC based automated handler control machine for our full range of semiconductor equipment.
• Evaluate and feasibility study on the customer’s machine specifications.
• Provide technical support to internal and external customers to fulfill their requirements.
• Be the key driver for continuous improvement plans for new and existing machine capabilities.
• Coordinate with customer for any new enquiry with sale personnel if needed.
• Build and nurture a culture in engineering organization of harmony, quality, ownership, collaboration, continuous improvement and data-driven decision making.

MAIN JOB SPECIFICATIONS / REQUIREMENTS

• Degree in Electrical and Electronic Engineering or Mechatronics or Computer Science or its equivalent.
• Proficient in C++ & C# WPF Programming Language and windows programming
• Strong in object orientated programming.
• Good interpersonal and communication skills to effectively communicate with stakeholders and team members.
• Possess good interpersonal and communication skills.
• Strong problem solving, analytical skills and be able to work independently with least guidance and in a team environment.
• Demonstrating a very good teamwork within the engineering department
• At least 3 years working experience in related field or fresh graduate with excellent academic achievement are encouraged to apply.
• Experience in machine software development in semiconductor field will be an added advantage.
• Able to travel to customer site for machine software control support and able to work extra hours to support urgent project.

Leadtop Technology Pte Ltd is a chip design company based in Singapore. The Company has strong R&D capabilities and the core technical team members all have numerous years of experience in the semiconductor industry. We have rich industry experience and deep practical accumulation in IC design and business management.

Job Description:

1. Works with the front-end design team to complete the chip floorplan , clock architecture, and powerplan .

2. Takes charge of the physical design tasks from the Netlist to the GDSII, including P&R, formal verification, static timing analysis, physical verification, power analysis, design for reliability and tapeout.

Position Requirements:

1. Holds a bachelor's degree or above in electronic engineering, microelectronics, or computer science.

2. At least 2 years of work experience in the digital backend design field. Tapeout experience at advanced technology is preferred.

3. Those with experience in TCL , Perl or Python script development and familiar with EDA tool design will be a plus.

4. Strong communication ability, good confidence and self-motivation, good teamwork spirit.

5. Salary is negotiable for excellent candidates.

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Thank you

www.uncledefect.sg

We need house inspector / surveyor for HDB / CONDO / LANDED properties for www.uncledefect.sg.

Leadtop Technology Pte Ltd is a chip design company based in Singapore. The Company has strong R&D capabilities and the core technical team members all have numerous years of experience in the semiconductor industry. We have rich industry experience and deep practical accumulation in IC design and business management.

Job Description:

1. Works with the front-end design team to complete the chip floorplan , clock architecture, and powerplan .

2. Takes charge of the physical design tasks from the Netlist to the GDSII, including P&R, formal verification, static timing analysis, physical verification, power analysis, design for reliability and tapeout.

3.Researches the physical design methodology of advanced process nodes, and improvise the automatic physical design platform.

Position Requirements:

1. Holds a bachelor's degree or above in electronic engineering, microelectronics, or computer science.

2. At least 5 years of work experience in the digital backend design field. Hands-on project experience is required. Tapeout experience at advanced technology is preferred.

3. Those with experience in TCL , Perl or Python script development and familiar with EDA tool design will be a plus.

4. Strong communication ability, good confidence and self-motivated, good teamwork spirit.

5. Salary is negotiable for excellent candidates.

The Interior Fit-Out Designer is responsible for developing design concepts, preparing drawings, and coordinating interior fit-out works for commercial and hospitality spaces. The role involves working closely with project managers, clients, and contractors to ensure design intent is implemented according to project requirements, timelines, and budgets.

Key Responsibilities

• Develop interior design concepts and space planning for fit-out projects.

• Prepare design drawings including layout plans, elevations, sections, and detail drawings.

• Produce 3D visualizations and presentations for client approval.

• Coordinate with project managers, contractors, and suppliers during design and execution stages.

• Prepare material boards, finishes selection, and specifications.

• Ensure designs comply with building regulations, safety standards, and client requirements.

• Review and revise drawings based on client feedback and site conditions.

• Conduct site visits to monitor progress and ensure design implementation aligns with drawings.

• Assist in preparing tender documents and technical drawings.

Requirements / Qualifications

• Diploma or Degree in Interior Design, Architecture, or related field.

• Minimum 2–5 years experience in interior fit-out or interior design projects.

• Proficiency in design software such as AutoCAD, SketchUp, 3ds Max, Revit, or similar.

• Knowledge of materials, finishes, and construction details for interior fit-out.

• Good communication and coordination skills.

• Ability to manage multiple projects and meet deadlines.

Job Description

Design and develop high-performance analog ICs for high-speed data communication and automotive battery management systems. Collaborate with cross-functional teams to create innovative designs that meet technical requirements and support next-generation technologies.

Key responsibilities:

·       Planning and designing IC block or system architecture based on design requirements

·       Perform circuit design/analysis, simulation based on specs

·       Prepare and discuss circuit, results of design in design reviews

·       Conduct IC verificationon bench to check IC performance with respect to design

·       Work with layout engineer for device level design to realize best circuit response

·       Work with application engineers to support customer application issues

Requirements:

·       PhD/Masters/Bachelor’s Degree in Electronics/Electrical Engineering or equivalent

·      Good communication skills and ability to work in a team

·       Fresh graduates as well as experienced IC designers are welcome to apply. Compensation for candidates with relevant experience will commensurate with years of experience.

Preferred competencies

For HSIF:

·       Good knowledge in High-Speed Interfaces design and be willing to take on the challenge of creating cutting-edge new technology by anticipating market trends and product evolution.

·       Possess good knowledge in analyzing and designing High-Speed Interface PHY, ADC, PLL, Clock and data recovery (CDR), Equalization and signal integrity optimization, Amplifiers, reference voltages etc.

·       Experience in developing IC and proficient in design tools usage (Cadence/Synopsys, CustomCompiler/Fine Sim)

For BMS

·      Good analytical skills and technical skills in analog/digital function circuits such as Switch capacitor amplifier, AD Convertor, High voltage power supply design: DCDC, LDO, Chargepump, High precision reference BGR, Oscillator, Amplifier,Comparator, etc) .

·      Experience in developing IC and proficient in design tools usage (Cadence/Synopsys)

·      Familar with Lab measurement and characterization equipment

·      Silicon debugging skill to solve design issues

About audax

audax means courage. To have the courage to change the banking scene, eliminating constraints caused by existing legacy infrastructure. Our mission is to empower banks and financial institutions to scale and modernise at speed, reaching new customers without breaking the bank.

We began our journey supplying services to and powering Standard Chartered’s white-label plug and play Banking-as-a-Service (BaaS) solution, Standard Chartered nexus, through our technology capabilities. At audax, we seek go-getters who are hungry for growth and can bring fresh perspectives.

Website - https://www.audax.io

What You’ll Do:

You will design and govern solutions, establish standards, and collaborate with clients for BaaS, Embedded Financing and Digital Transformation solutions.

• Design novel solutions, and enhance existing ones for the core product, by collaborating with various Product Owners and Engineers.
• Establish direction for product and tech initiatives.
• Collaborate with Pre Sales team to prepare and present solutions to prospective clients.
• Run POCs and Demos internally and for prospective clients.
• Govern API change management across the whole product.
• Manage requirements from clients and co-ordinate with Product teams for requirements.
• Collaborate with client counterparts for Infrastructure design, integration, and sizing.
• Collaborate with client security team to establish application, data, and infrastructure security.
• Own the architectural definition and documentation of the canonical library of features and capabilities.
• Design and plan custom solutions for clients and its delivery.
• Contribute to and review documentation.
• Mentor and guide senior engineers, product owners, client teams, fostering high technical standards and consistent architectural patterns.

Who You Are:

• 10+ years of experience in Software Engineering, with 3+ years of experience as a Solution Architect
• 5 years of experience in BFSI domain.
• Banking domain knowledge including origination, payments, accounts, party, CRM, reporting, core banking.
• Demonstrates ability to communicate complex ideas clearly and effectively.
• Drive adoption of emerging technologies and establish technical standards.
• Experience building web services in Java, Kotlin, C#, Python, Go, or JavaScript.
• Experience building web applications with frameworks like React, Svelte, Angular.
• Foundational understanding of Mobile Development for Android and iOS.
• Foundational knowledge in cross-platform technologies like KMP, Flutter, or React Native.
• AI assisted coding like Cursor, Windsurf.
• Experience with infrastructure sizing, cyber security standards and design for application, data, and infrastructure.
• Hands on experience with Kubernetes and Docker.
• Hands on experience with Cloud Platforms like AWS, GCP, Azure.
• Knowledge with IETF RFC standards.
• Diagramming tools like DrawIO, MermaidJS, and PlantUML.
  

Why Join Us?

• Be Part of a Bold Vision – At audax, we’re not just building software – we’re transforming how financial institutions and businesses manage risk, compliance, and growth. Join a team that’s fearless in challenging the status quo.
• Flexible, People-First Workplace – We value the importance of Family, Team, Self. In that order.
• Competitive Rewards and Startup Perks – We offer competitive salaries and meaningful benefits that look after your well-being.

Privacy Notice:

Please note: by submitting your application, you acknowledge that you have read and understood audax’s Privacy Policy for Employees, Freelancers, Contractors and Job Applicants (the “Policy”), and consent to the collection, use and disclosure of your personal data by audax for the purposes set out in the Policy. You may withdraw consent for such collection, use and disclosure, and make an access or correction request in respect of your personal data, in accordance with the Policy by emailing dpo@audax.io.

• Fully-Funded PhD Positions – Synthetic Data Generation
• Fully-Funded PhD Positions – Agentic AI & Edge Computing
• Fully-Funded PhD Positions – Small Multimodal Models

Reolink via Industrial Postgraduate Programme (IPP)

• We currently have three research topics available for postgraduate students interested in exploring these opportunities.

About Reolink

Reolink is a leading AI video security camera firm based in Singapore, driving innovation in intelligent visual technology for both home and business. Founded in 2009, our products are trusted by millions of users across more than 110 countries. At the forefront of smart surveillance, Reolink develops cutting-edge unified AI systems—such as Reon Eura—engineered to deliver superior on-device object recognition, predictive risk assessment, and intelligent contextual analysis. We are committed to pushing the boundaries of edge computing, computer vision, and autonomous AI to create the next generation of reliable, user-centric security applications.

Programme Structure (IPP) Successful candidates will be full-time salaried employees at Reolink (the partnering company) while simultaneously pursuing full-time graduate studies (PhD) at NTU & NUS. Reolink is a rapidly growing tech company with strong international presence.

This unique arrangement offers:

• Competitive monthly salary + full PhD tuition coverage.
• Hands-on industry experience alongside academic research.
• Joint supervision by NTU / NUS faculty and Reolink R&D leaders.
• Direct application of research to real-world AI and computer vision products.

Opportunity for Postgraduate individual that eager to pursue a PhD while simultaneously maintaining a full-time position in the industry.

• Candidates must be strong in software engineering

• A Bachelor's degree or Master's in Computer Science, Software Engineering, Computer Engineering, or a related field.
• Excellent programming skills ( Python, C++ and deep learning frameworks such as PyTorch / TensorFlow).
• Solid understanding of software design, system integration, and deployment best practices.
• Strong analytical and mathematical foundation.

Responsibilities:

· Develop, maintain and administer tools which will automate operational activities and improve engineering productivity

· Proposing and driving architecture improvements, recommending process improvements

· Find solutions to production issues after root cause analysis

· Automate continuous delivery and on-demand capacity management solutions

· Developing configuration and infrastructure solutions for internal deployments

· Updating, tracking and resolving technical issues

· Evaluate new technology options and vendor products. Ensuring critical system security through the use of best in class security solutions

Requirements:

· 7+ years of technical experience in a similar role architecting and supporting large scale production systems

· Experienced with cloud services such as AWS and GCP

· Experience in large-scaled distributed environments

· Demonstrated robust programming skill in Python, Go, or similar

· Experience with tools such as Saltstack, Terraform, Ansible, Docker, etc

· Proficiency with Linux

· Bachelor's degree in a technical field

Project Overview

In biopharmaceutical manufacturing, ensuring equipment is free from microbial contamination after cleaning is critical for product safety. Cleaning validation typically relies on compendial methods such as USP <61>, which assess microbial levels through culture-based techniques. However, these methods require multi-day incubation periods, specialized growth enrichment media, and manual operations, resulting in long turnaround times and increased risk of contamination during handling. The emergence of Rapid Microbial Methods (RMM) as state-of-art technologies seek to address these limitations posed by traditional compendial methods. Despite RMM having a shorter incubation period, the dependency of RMM on cells, high operator complexity and challenges in integrating process analytical technology (PAT) adds cost, time, and introduction of human error. This project aims to develop a novel, label-free microbial detection method, coupled with machine learning tailored for cleaning validation workflows.

This project is hosted within SMART-CAMP (Critical Analytics for Manufacturing Personalized-Medicine), an interdisciplinary research programme in Singapore (CREATE international research campus and innovation hub) and at the Massachusetts Institute of Technology (MIT). SMART CAMP addresses key technology bottlenecks in cell therapy manufacturing: (i) critical quality attributes of safe, effective cell therapy products; and (ii) integrated process analytics to monitor and modulate those attributes. This high-impact focus includes measurement and feedback control of processing parameters (process analytic technologies, or PAT) that contribute to cell viability and function during cell proliferation, and the measurement at intermediate and final steps of the cell product properties correlated with positive therapeutic outcomes (critical quality attributes, or CQA). This interdisciplinary team comprises engineers, biologists, clinicians, manufacturing, and data analytics experts from multiple MIT academic units, and multiple Singapore-based universities, research centres of excellence, and hospitals who are experienced at translational demonstrations of technologies in safety-regulated industries such as cell therapies.

Responsibilities

SMART-CAMP invites applications for a Postdoctoral Associate position in the area of microbiology and biotechnology, incorporating rapid detection tools and advancing them for testing in biopharmaceutical production. The successful candidate will be expected to work on the identification, verification, and design of ultraviolet spectroscopy and machine learning aided rapid and sensitive detection of micro-organisms, using a combination of microbiology, mass spectrometry and spectroscopic methods. This work will be conducted in close collaboration with a consortium of biopharmaceutical companies.

• This PDA will conduct feasibility studies of detection analytical methods based on metabolite detection of microorganisms to develop a rapid, sensitive diagnostic tool for safety screening.

• The PDA will take responsibility for testing and translating rapid methods for detection, as well as performing comparability/benchmarking experiments with compendial microbiology tests and molecular tests.

• Supervisory experience in junior researchers in all aspects of research.

The PDA will be expected to interface with technical staff from biopharma, as well as a research engineer to achieve the project objectives.

Requirements

• Ph.D. in microbiology, biotechnology, or relevant discipline.

• Demonstrable expertise in working with bacteria and/or fungi is desirable.

• An understanding of metabolite identification and quantification by LC-MS/MS, spectroscopic techniques is desirable. Experience or collaborative engagements involving machine learning / modelling is also viewed positively.

• Excellent verbal and written English communication skills are required.

• Strong interpersonal and relationship-building skills

• Self-motivated, independent, with superior collaborative, organizational and analytical skills

• Good track record of publication, IP and scientific output.

To apply, please visit our website at: https://portal.smart.mit.edu/careers/career-opportunities

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified.

Position Overview

We are seeking an experienced Industry AI Product Vice President to lead the strategy, development, and commercialization of next-generation AI-driven Industrial solutions, particularly for semiconductor and related manufacturing.

This executive role will be responsible for defining AI product strategy, overseeing product development, and leading customer delivery programs for semiconductor manufacturers in Singapore and across Asia. The position also plays a critical role in technical pre-sales, customer solution design, and strategic industry engagement.

The successful candidate will bring deep expertise in manufacturing operation, industrial data platforms, AI-driven analytics, and smart factory transformation. The role requires close collaboration with product engineering teams, sales teams, and global industry customers to deliver high-impact AI solutions that improve equipment reliability, yield and operational efficiency.

Key Responsibilities

1. AI Product Strategy & Portfolio Leadership

• Define and execute the AI product strategy for manufacturing industry solutions.
• Develop a portfolio of AI-driven smart manufacturing products, including:
• Equipment Predictive Maintenance Fault Detection & Classification (FDC) Process anomaly detection Yield improvement analytics Intelligent alarm and deviation management Manufacturing data integration platforms
• Identify industry trends and emerging technologies to drive continuous innovation in industrial AI products.
• Build scalable product frameworks that can be deployed across multiple semiconductor fabs.

2. Product Development &Technology Leadership

• Lead cross-functional teams to design and develop AI products integrating:
• machine learning
• industrial data platforms
• advanced analytics
• digital twins
• knowledge graph technologies
• Define technical architecture for industrial AI platforms, ensuring scalability, security, and real-time analytics capability.
• Work closely with engineering teams to implement robust data pipelines and MLOps practices.
• Establish product lifecycle management from concept → prototype → industrial deployment → continuous optimization.

3. Customer Delivery Leadership

• Lead the execution of AI-driven transformation programs for target industry customers.
• Manage customer engagements including:
• requirements discovery
• solution design
• implementation planning
• deployment and value realization
• Ensure delivery of measurable business outcomes such as:
• improved equipment uptime
• yield improvement
• process stability
• reduced manufacturing downtime.

4. Technical Pre-Sales & Customer Engagement

• Support the sales organization in solution architecture, proposal development, and technical presentations.
• Engage customers through workshops and consulting sessions to identify high-value AI use cases.
• Lead product demonstrations and technical discussions with fab leadership teams.
• Represent the company at industry conferences, technology forums, and strategic customer meetings.

5. Industry Innovation & Thought Leadership

• Monitor the evolution of AI technologies and semiconductor manufacturing trends.
• Build strategic partnerships with AI technology providers and ecosystem partners.
• Position the company as a leader in AI-driven semiconductor manufacturing solutions.

Required Qualifications

Education

• Bachelor’s or Master’s degree in:
• Computer Science
• Data Science
• Information Technology
• AI Engineering
• Industrial Engineering

Expected Professional Experience

Industry Experience

• 15+ years of experience in Software Engineering, Industrial AI, or Advanced Industry technologies.
• Strong understanding of industry operations including equipment automation and manufacturing systems.
• Experience working with major industry customer, particularly semiconductor manufacturers.

Industrial Data Engineering

Demonstrated experience in designing and implementing industrial data platforms including:

• Manufacturing data pipelines and ETL frameworks
• Data lake / data warehouse architectures
• Time-series data analytics for equipment and process monitoring
• Real-time streaming data processing
• Data governance and industrial data management frameworks

AI & Advanced Analytics Applications

Hands-on or leadership experience delivering AI solutions in manufacturing environments including:

• Equipment Predictive Maintenance
• Fault Detection and Classification (FDC)
• Process anomaly detection
• Yield prediction and yield optimization
• Root cause analysis automation
• Manufacturing performance analytics
• Intelligent alarm management systems

Manufacturing Systems Integration

Strong familiarity with manufacturing systems integration such as:

• Manufacturing Execution System (MES)
• Equipment Automation Program (EAP)
• CIM systems and factory automation platforms
• Equipment communication protocols such as SECS/GEM

Data Insight & Industrial Intelligence

Experience applying advanced analytics techniques including:

• Process mining
• Multivariate data analysis
• Statistical Process Control (SPC)
• Knowledge graph-based manufacturing intelligence
• Operational intelligence dashboards and visualization platforms

AI Platform & Engineering Experience

• Familiarity with AI/ML development frameworks and tools.
• Experience implementing MLOps pipelines and model lifecycle management.
• Understanding of deploying AI solutions in high-availability manufacturing environments.

Key Competencies

Strategic Leadership

• Ability to define product vision and long-term AI strategy.
• Strong commercial awareness and product management expertise.

Industry Domain Expertise

• Deep understanding of Industry operation processes and factory systems.
• Ability to translate fab operational challenges into AI product opportunities.

Technical & Architectural Thinking

• Strong understanding of data architecture, AI systems, and industrial software platforms.

Customer Engagement

• Excellent ability to communicate with customer executives and technical teams.
• Experience leading complex customer transformation projects.

Cross-Functional Leadership

• Ability to lead multidisciplinary teams including software engineers, data scientists, and domain experts.

Innovation Mindset

• Passion for applying AI technologies to solve real-world manufacturing challenges.