Total 50 Senior Executive communications engineer job vacancies in Manufacturing / Production category in Hong Kong

Position Summary

We are seeking a highly motivated Senior Engineer, Assembly to support research and development activities in Photonics IC Packaging. The role involves machine setup, assembly, testing, troubleshooting, and process improvement for advanced photonics packaging applications. The successful candidate will work closely with cross-functional teams to ensure efficient assembly operations, quality performance, and continuous process optimization.

Key Responsibilities

• Perform machine setup, calibration, testing, and mechanical assembly of active devices onto interposers.
• Conduct testing on assembled devices and generate detailed test reports and summaries.
• Troubleshoot assembly-related issues and document findings for failure analysis and corrective actions.
• Coordinate with internal teams to manage incoming materials and ensure readiness for assembly operations.
• Analyze packaging process performance, including yield, manufacturing cost, process specifications, and cycle time.
• Support the planning and execution of continuous improvement initiatives to enhance manufacturing efficiency and product quality.
• Maintain proper documentation of assembly procedures, testing results, and engineering activities.

Qualifications & Requirements

• Diploma, Advanced/Higher/Graduate Diploma, or Bachelor’s Degree in Engineering or a related discipline.
• Minimum 5 years of relevant working experience in the semiconductor industry.
• Hands-on experience with die-assembly tools, flip-chip bonders, and wire bonders is strongly preferred.
• Familiarity with CAD drawing tools is highly advantageous.
• Knowledge of semiconductor wafer packaging and photonics packaging processes is a plus.

Responsibilities:

Responsibilities for this position involve working closely with SOC Design, SW/System, and Chipset PE/PM/PdM to validate Digital SOC chip on ATE, SLT and Bench; collaborate with Test Engineering, SLT, and Bench to develop HVM Test Solution. The role is expected from project planning to execution on Digital SOC development. Cross collaboration work is expected with SW, System, Design, Process and Customer Engineering on power and performance related tests for High Volume Manufacturing. The individuals selected for the positions will need to be able to work in a fast paced and dynamic environment and be passionate about delivering quality work.

Requirements:

Experience in Digital SOC development from planning, silicon validation to High Volume Manufacturing phase. Experience in ATE/SLT test coverage, test HW development, data analytics/ statistics, product reliability qualification (ESD/LU, HTOL and Package Qual), ATE System correlation for power and performance, project updates to upper management and cross functional teams, stakeholder management, and risk management.

Education Requirements:

Min 3 years of related job experience in product, test, product engineering.

Bachelor's/Master’s, Electrical and Electronic Engineering or Computer Engineering 

ALG is currently hiring a Senior Manufacturing Engineer for our MNC client with a facility in the East, Singapore. Our client is a global leader in designing, manufacturing, and servicing advanced systems and components for the high-technology and advanced manufacturing industries. This is a permanent role offering strong career progression within a dynamic manufacturing environment.

Roles and Responsibilities:

• Manage the end to end effort for the development and deployment of new production processes and equipment.
• Develop the planning, programming, and production flow of precision metal parts.
• Validation of CNC programs for errors in an offline virtual environment
• Identify and design tooling for production processes .
• Maintain and control process documentation of production processes.
• Work with Quality Engineers to develop gauging and systems for process control.
• Troubleshooting and continuous improvement of production processes.
• Develop paperless shopfloor documentation systems.
• Assist production in the prove-out and debugging of new processes.
• Follow prescribed work rules and safety standards.
• Take ownership of project goals and objectives to ensure project success.

Job Requirements:

• Degree in an Engineering discipline (Mechanical, Manufacturing, Material)
• At least 5 years’ of relevant working experience.
• Knowledge of CNC machines and tools, including their designs and uses.
• Knowledge of ANSI Y14.5 blueprint reading, G-Codes, M-Codes, and CAD/CAM programming.
• Knowledge of tooling and fixturing concepts and standards.
• Demonstrate high level of attention to details.
• Ability to develop and manage a project from concept to implementation.
• Ability to be Flexible and adapt to changing priorities.
• Ability to analyze information and quickly solve problems.
• Experience with metrology standards and equipment.

If you are interested in this role, please APPLY NOW! Please note that only shortlisted candidates will be notified.

EA License Number: 11C4379 | Registration Number: R23119425

COMPANY DESCRIPTION

Mediacorp is Singapore's largest content creator and national media network, operating a suite of TV channels, radio stations, and multiple digital platforms. Its mission is to engage, entertain, and enrich audiences by harnessing the power of creativity.

We are committed to creating an inclusive and diverse workplace where talent thrives. Our hiring decisions are made based on merit and fit-to-role. If you have a disability or special need which requires accommodation to participate in the recruitment process, please inform us when you submit your online application. We will be happy to support as necessary.

Thank you for your interest and application to this role. Please note that only short-listed candidates will be contacted.

RESPONSIBILITIES

The position requires engineer to carry out tasks related to the support of broadcast and broadcast IT related equipment and systems, including activities such as manning of support hotline, system diagnosis, remediation and monitoring, system administration, patching and preventive maintenance. In addition, the position is required also to support the planning and implementation of broadcast IT system projects.

• Provide technical support to broadcast equipment and systems in News Studios & News Post Production and asset management system, Outside Broadcast production van, News Room Computer System and etc.
• Document, communicate, collaborate, and handle fault incidents
• Assess system vulnerabilities and provide guidance, remediate and mitigate any reliability and security risks
• Perform troubleshooting and repair of broadcast equipment and system.
• Perform preventive and corrective maintenance broadcast and IT equipment.
• Work with different business units to provide technical solutions to enhance existing operation and setup
• Evaluate and recommend new broadcast IT equipment and system.
• Support project implementation of broadcast IT system and infrastructures including the support in drafting of technical specifications and costings documentations.
• Perform shift and standby duty to support broadcast system and infrastructures.

• Degree in Information Technology, Information Systems, IT Security or equivalent. CCNA, Certification in Information Technology networking field is an advantage.
• Candidate without the required academic qualifications but with at least 3 years of relevant experience in IT, Broadcast or Media Production related field are welcome to apply.
• Microsoft certifications such as MCSA preferred
• Project management experience preferred.
• Basic understanding of cloud / enterprise system architecture
• Network troubleshooting skills of IT devices maintenance and experience with management and configuration of networking devices (switches, routers, firewalls) will be preferred.
• Perform shift and standby duty to support broadcast system and infrastructures.

As Frontend Central Product Integration Engineering and transformative (CPIE) team at Micron Technology, Inc., you will be leading new initiatives to deliver pioneering process capability, best-in-class bits per wafer (Yield) with the highest quality and fastest speed through innovation and collaboration with multi-functional teams. Your primary focuses include but not limited to:

Initiate new data solutions and methodologies to:

• identify process, test, and design improvement opportunities, specialized in UE_ROW & all quality index, Front End-PTS integration, and high-value-bits (PG2+) yield;

• modeling, monitoring and aiming for tool performance benchmarking;

• Process equipment prognostics and process integration optimization;

• Identity test optimization opportunities for high product grade yield improvement.

• Collaborate with site Process & Equipment Engineering, Manufacturing(MFG), Product Integration Engineering (PIE) and Data Science (DS) team to establish feasibility of new initiatives, demonstrate business values, and prototype solution mock-ups;

• Partner with Global Quality (GQ), Product Engineering (PE), Central PEE(CPEE), Smart Mfg Artificial Intelligent (SMAI), Technology Development (TD), and Suppliers to deliver end to end solutions, implement BKM development and deployment to production.

• Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness,exercising sound judgment and complying with organizational standards and legal requirements.

• Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabledenhancements within one’s scope of work.

Collaboration

• Partner closely with multi-functional teams to ensure successful communication and collaboration for project implementation.

• Detail oriented with the ability to work independently

• Dependability and able to work effectively in multi-functional teams.

• Facilitate and lead activities in designing and optimizing current system, methods, tool, skill to be Best In industry.

• Manage priorities and enhancements to improve business processes and existing systems that are global in nature.

• Willing to work during non-standard hours when needed to provide support to engineering teams at any Micron site.

• Strong growth mindset and willing to continue to learn, unlearn, relearn.

Communication

• Effective communication skills in verbal/written.

• Self-motivated. Able to work independently with minimal supervision.

• Able to travel as required to support department and company objectives.

Requirement and Technical Competency:

• Experience in PIE, Test solution team, product engineering and circuit design engineering. Understanding of Process/Product Integration will be advantageous;

• In depth knowledge of processes, equipment and control system;

• Proficiency in data analytical tools such as Y3, JMP, Python to perform numerical experiment. Proficiency in Statistical/Machine Learning will be additional advantageous; 

• Proven track record to make decisions, multi-task, and solve problems and address root causes.

• Exhibit critical thinking to find opportunities.

• PhD/Masters/Bachelors with relevant course of study and experience

• Ability to apply baseline digital fluency and role‑appropriate AI literacy to use AI‑enabled tools responsibly and effectively for research, analysis, content creation, problem‑solving, operational tasks, and achieving business outcomes.

About Doodle Labs 

Doodle Labs is the global leader in high-performance private wireless systems. We build cutting-edge mesh networks for robotics, drones, and the Industrial Internet of Things. Doodle Labs has experienced rapid growth over the past five years as our radio systems have been adopted by Fortune 500 companies (e.g. Airbus, General Electric) and industry-leading innovators (e.g. Boston Dynamics, FLIR) 

Your Opportunity 

Your opportunity to work with cross-functional teams of RF, Software, Mechanical design, NPI, Operations and Manufacturing/Quality assurance to build the next generation of Doodle Labs' radio portfolio.  

The successful candidate will have significant experience in RF development, Product Engineering and manufacturing of Radio products. 

Key Responsibilities: 

• Lead product engineering activities for one or more radio product lines from design through validation and manufacturing.  

• Own technical execution for product bring‑up, debugging, test, and validation.  

• Drive design for manufacturability (DFM), design for test (DFT), and cost optimization initiatives. 

• Develop and improve test setups, automation scripts, and validation processes to reduce test time and improve coverage.  

• Support regulatory and compliance certifications (FCC, CE, etc.).  

• Manage component obsolescence and support End‑of‑Life (EOL) transitions.  

• Produce and review technical documentation including datasheets, integration guides, and application notes.  

• Mentor and provide technical guidance to junior Product Engineers. 

Job Requirements 

• Bachelor’s or Master’s in Electronics Communication Engineering or a related field  6-9 years of industry experience 

• In-depth knowledge of radio/Wi-Fi product development, Product Engineering and quality control 

• Strong hands‑on experience with hardware bring‑up, debugging, and manufacturing support.  

• Solid understanding of quality control, validation, and production test methodologies.  

• Ability to work independently in a fast‑paced, cross‑functional environment. 

• Perform process planning and fixture & gauge designs
• Handle quotations and program management
• Apply Six Sigma/Lean Manufacturing methodologies for continuous process improvements
• Planning and scheduling of ERP system

• Control of machining cycle time within target including all in-machine activities such as probing, machining, appropriate cutter checks etc.

• Control overall costs for machining taking into consideration cycle time and cost of cutters.

Requirements

- Minimum Degree in Mechanical Engineering/ Manufacturing Engineering

- Preferably with 3-5 years of relevant manufacturing engineering

- Experience in Six Sigma/Lean Manufacturing methodologies

Interested candidates please send in your resume to:
Topaz Liang Huimin (CEI No. R1104500), email to: topaz@recruitexpress.com.sg

EA License No. 99C4599

We regret that only shortlisted candidates will be notified.

The Job:

• Perform process planning and fixture & gauge designs
• Handle quotations and program management
• Apply Six Sigma/Lean Manufacturing methodologies for continuous process improvements
• Planning and scheduling of ERP system

Requirements:

• Machining process, fixture/gauge/tool design
• Degree in Mechanical Engineer or related field with minimum 2-3 years of work experience

Interestedapplicants can send their detailed resumes to janelui@recruitexpress.com.sgor call JANE @ 6735 1955.

JANE LUI JIE'EN

CEI: R1104482

Company Reg.No. 199601303W || EA Licence No. 99C4599

SSMC (Systems on Silicon Manufacturing Company Pte. Ltd.) is a Joint Venture between NXP and TSMC. We offer flexible and cost-effective semiconductor fabrication solutions by maintaining fully equipped SMIF cleanroom environment, 100% equipment automation and proven wafer-manufacturing processes.

We're looking for innovative, passionate, and talented people like you to join our team.

We’re searching for an Engineer/ Senior Engineer to be part of our Product Engineering Department diverse team of talent.

What you will be working on:

• Ensuring 1st time yielding silicon, benchmark D0 for baseline and products.
• Identify & resolve Product, Test & Fab-Process related yield limiters in shortest time possible.
• Technical interface with Business Lines/customers
• Driver for yield improvement
• Resolve product yield, quality and reliability issues
• Perform pre-tapeout risk assessment and communicate with Business line/Fab on the necessary actions to eliminate/minimize the risk.
• Work with Customers/Mother Fab on the DfM related issue.
• Conduct product yield analyses to identify root cause of wafer sort and final test failures
• Set up fault diagnostic capabilities for yield improvement
• Work with Business line/customers on product low yield disposition
• Perform electrical and physical failure analysis to isolate fail location
• Drive the yield improvement task force

More about you:

• Master/bachelor’s degree in electrical / Electronic Engineering or Science in Physics
• 2 – 8 years product and/or test engineering, failure analysis or process-integration experience
• Experience in Fab process, yield engineering or design will be an added advantage
• In depth knowledge of semiconductor device physics, electrical & electronics engineering fundamentals & wafer fabrication processes
• Strong analytical & problem-solving skills
• Good interpersonal and communication skills

SSMC is firmly committed to upholding equal employment opportunities for all individuals. We strictly adhere to the Tripartite Guidelines on Fair Employment Practices (TGFEP), the Singapore Food Safety and Security Act 2025 (FSSA 2025), and the Singapore Code of Advertising Practice. All qualified applicants will receive non-discriminatory consideration for employment on the basis of merit and regardless of age, race, gender, religion, marital status and family responsibilities, or disability, or any other attributes as protected by the relevant laws.

The Job:

• Perform process planning and fixture & gauge designs
• Handle quotations and program management
• Apply Six Sigma/Lean Manufacturing methodologies for continuous process improvements
• Planning and scheduling of ERP system

Requirements:

• Machining process, fixture/gauge/tool design
• Degree in Mechanical Engineer or related field with minimum 2-3 years of work experience

Interestedapplicants can send their detailed resumes to janelui@recruitexpress.com.sgor call JANE @ 6735 1955.

JANE LUI JIE'EN

CEI: R1104482

Company Reg.No. 199601303W || EA Licence No. 99C4599

Senior .NET Production Support Engineer (Cloud & SRE Focus)

Job Summary

We are seeking a highly skilled and experienced Senior .NET Production Support Engineer to manage and enhance mission-critical, cloud-native applications. This role requires expertise in Site Reliability Engineering (SRE), observability, and modern DevOps practices, ensuring high availability, scalability, and performance of distributed systems.

You will lead incident management, advanced troubleshooting, root cause analysis (RCA), and automation initiatives, while collaborating with cross-functional teams to drive resilience, reliability, and continuous improvement.

________________________________________

Key Responsibilities

• Provide L2/L3 production support for.NET (Core/6/7/8+) and ReactJS-based microservices applications

• Implement and maintain SRE practices (SLIs, SLOs, error budgets) for system reliability

• Perform advanced troubleshooting in distributed, microservices-based architectures

• Monitor system health using observability stacks (logs, metrics, traces)

• Drive root cause analysis (RCA) with a focus on preventive and automated solutions

• Collaborate with DevOps and development teams in CI/CD pipelines and release automation

• Support containerized deployments (Docker, Kubernetes) and cloud environments

• Automate repetitive operational tasks using scripting (PowerShell, Python)

• Participate in on-call rotations and incident response (Major Incident Management)

• Integrate AI-driven monitoring and anomaly detection tools for proactive issue detection

• Ensure compliance with ITIL, security, and DevSecOps standards

• Maintain detailed runbooks, knowledgebase, and operational dashboards

Required Skills & Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field

• 5+ years of experience in .NET application support, SRE, or backend development

Core Technical Skills

Strong expertise in:

• C#, ASP.NET, .NET Core / .NET 6+(preferred latest versions)

• RESTful APIs, Web API, Microservices architecture

• SQL Server, MySQL (plus performance tuning & query optimization)

• Experience in:

• Multithreading, async programming, memory management

• Debugging production issues (dump analysis, profiling, thread analysis)

• Performance optimization &scalability engineering

• High-Niche & In-Demand Skills (Added)

Cloud &Cloud-Native

• Azure (App Services, AKS, Functions, Application Insights) / AWS (EKS, Lambda, CloudWatch)

• Cloud-native design patterns &distributed systems

 Containers & Orchestration

• Docker, Kubernetes (AKS/EKS), Helm charts

• Experience managing production workloads in containerized environments

Observability &Monitoring

• Advanced tools: Prometheus, Grafana, ELK Stack, Open Telemetry

• Expertise in distributed tracing (Jaeger, Zipkin)

DevOps & CI/CD

• Azure DevOps / GitHub Actions / Jenkins pipelines

• Infrastructure as Code (Terraform, ARM templates)

DevSecOps

• Secure coding practices, vulnerability scanning

• Tools like Snyk, SonarQube, OWASP compliance

• AI & Automation (Advanced Niche Edge)

• AI-driven monitoring (AIOps tools)

• Basic knowledge of ML models for anomaly detection

• Experience integrating GenAI / ChatOps for support automation

Tools &Technologies

• Incident Management: ServiceNow, JIRA

•  Monitoring: Splunk, AppDynamics, Dynatrace

•  Version Control: Git (GitHub / GitLab /Bitbucket)

Preferred Skills

•  Certifications:

•  Azure / AWS Certified Solutions Architect or DevOps Engineer

•  ITIL Foundation / Advanced ITIL[i]

Exposure to:

•  Python automation & scripting

•  AI/ML certifications or hands-on experience

•  Financial services / high-availability environments (bonus)

Role Overview

We are looking for a hands-on Senior DevSecOps & Cloud Architect to help design, implement, and standardize a modern application platform based on Angular frontend and .NET (C#) backend on AWS Cloud.

This role will play a critical leadership position in defining best practices for application architecture, security, CI/CD pipelines, and cloud infrastructure, enabling scalable and secure delivery across teams.

Key Responsibilities

• Define reference architecture for Angular + .NET applications on AWS
• Lead implementation of DevSecOps practices (SAST, DAST, SCA, secure SDLC)
• Design and build end-to-end CI/CD pipelines (build, test, deploy automation)
• Establish cloud architecture standards (EKS/ECS, API Gateway, RDS, S3, VPC)
• Implement Infrastructure as Code (Terraform / CloudFormation)
• Create reusable templates, pipelines, and frameworks
• Drive security, scalability, and reliability across applications
• Enable development teams with best practices and tooling

Required Skills

• Strong experience in:
  • .NET / C# (ASP.NET Core)
  • Angular frontend architecture
• Deep expertise in:
  • DevSecOps & CI/CD tools (GitHub Actions, GitLab CI, Azure DevOps, Jenkins)
  • AWS Cloud services & architecture
• Hands-on with:
  • Docker, Kubernetes (EKS preferred)
  • Infrastructure as Code (Terraform preferred)
• Security knowledge:
  • SAST / DAST / SCA tools
  • API security (OAuth2, JWT)
  • Secrets management

Nice to Have

• Experience in platform engineering / internal developer platforms
• Observability tools (CloudWatch, Prometheus, Grafana)
• AWS Certifications (Solutions Architect / DevOps)
• Background in legacy modernization (e.g., PHP / VB.net to cloud-native)

What Success Looks Like (6 Months)

• Defined and implemented standard architecture blueprint
• Delivered secure, automated CI/CD pipelines
• Established DevSecOps baseline practices
• Built reusable templates and frameworks for developers
• Improved deployment speed, system reliability, and security posture

Ideal Candidate

• Strong balance of hands-on engineering and architecture leadership
• Experience building or standardizing platforms from the ground up
• Ability to influence, guide, and drive adoption across engineering teams

THE ROLE: 

As a Senior Engineer, you will collaborate with various Product Development Groups. This individual serves as a critical technical point of contact to the business, design, platform validation and product engineering teams. We have competitive benefit packages and an award-winning culture. Join us!  

THE PERSON: 

A successful candidate is one who can drive technical decisions independently, has accountability for accuracy, reliability and completeness of assignment results critical to the project’s success. This role allows the opportunity to influence technical decisions that have a significant impact on multiple products or the product line.  

KEY RESPONSIBILITIES: 

• Ensures high uptime, ensures preventive maintenance (PM) execution, and seamless vendor coordination for resolving tools hardware and software issues. Primary advanced toolset coverage: Focused Ion Beam, Reactive Ion etchers, Nano‑probers, Scanning electron microscopes and Transmission electron microscopes 
• The role partners closely with equipment owners, lab operations, EHS, and external OEMs to sustain capability, drive MTBF/MTTR improvements, and enable rapid turns on high‑priority cases.
• Design new lab space with strict environmental control involving vibration, EMI and acoustics.
• Lead structured troubleshooting and root‑cause eradication (5‑Why, Ishikawa, FMEA); convert escapes into standard work and documented fixes
• Serve as single point of contact for OEMs and third‑party service providers; coordinate field service, escalations, and remote diagnostics
• Manage service contracts, PM bundles, and time‑and‑materials events; negotiate scope vs. cost; track vendor KPI adherence and corrective actions
• Enforce LOTO, ESD, chemical/gas handling, UHV safety, and radiation/beam compliance as applicable
• Partner with FA engineers on readiness gates for new methods/fixtures; support tool installation, lab moves, and capability upgrades
• Provide on‑call/shift coverage as needed for bring‑up, critical debug, and factory‑stop events

PREFERRED EXPERIENCE: 

• Hands on maintenance experience with complex capital equipment involving vacuum systems, motion/servo control, pneumatics, high voltage, and embedded SW/FW
• Demonstrated ability in systematic troubleshooting, reading electrical/pneumatic schematics, and using diagnostic tools (oscilloscope, DMM, leak detector, RGA)
• Effective communication with vendors and cross site teams; ability to coordinate multi party interventions under time pressure
• Experience in failure analysis tools, including alignments, stage/probe calibration, column health, and detector
• Knowledge of UHV, turbo/cryogenic pumps, gas handling, plasma sources, beam columns, and vibration/thermal isolation
• Lab‑based role with occasional off‑shift or weekend coverage during critical events and planned PMs
• Some travel for OEM training, factory repair, or acceptance tests may be required

ACADEMIC CREDENTIALS: 

• Bachelor’s degree in Mechatronics Engineering (or Mechanical/Electrical with mechatronics focus)

Job Summary:
Coherent is currently hiring a Senior Manufacturing Engineer to work at our manufacturing site located in Singapore. We are looking for a hands-on candidate for our industry-leading laser technology products. The Manufacturing Engineer will be responsible for developing, optimizing, and maintaining the manufacturing processes used in the production of laser systems and optical assemblies. This role ensures high-yield, cost-effective, and reliable production through continuous process improvement, equipment qualification, and close collaboration with design, quality, and supply chain teams. The engineer will be a key technical link between R&D and production, focusing on scalability, manufacturability, and operational excellence.

Primary Duties & Responsibilities

1. Process Development and Optimization

• Develop, document, and implement manufacturing processes for laser modules, optical assemblies, and related sub-systems.
• Define critical process parameters for optical alignment, bonding, soldering, and laser cavity assembly.
• Conduct DOE (Design of Experiments) and SPC (Statistical Process Control) to optimize yield and minimize process variability.
• Translate R&D prototypes into robust, repeatable production processes.

2. Production Support

• Provide hands-on technical support to production teams for troubleshooting yield issues, process deviations, and equipment downtime.
• Implement root cause analysis and corrective actions for production failures (using tools like DMAIC, FMEA, Ishikawa).
• Support daily manufacturing operations to meet production schedules and performance targets (throughput, yield, quality).

3. Equipment and Tooling Management

• Specify, qualify, and maintain production equipment such as optical benches, alignment stations, bonding systems, and test setups.
• Design and procure custom fixtures, jigs, and alignment tools to improve precision and throughput.
• Ensure calibration and preventive maintenance of manufacturing and metrology tools.

4. Quality and Continuous Improvement

• Work with Quality and Reliability teams to ensure process compliance to ISO 9001 / ISO 13485 standards.
• Develop and update process documentation: work instructions
• Drive Lean and Six Sigma initiatives for process improvement, waste reduction, and cost optimization.

5. Cross-Functional Collaboration

• Interface with Design Engineering for Design for Manufacturability (DFM) reviews and prototype builds.
• Collaborate with Supply Chain and Vendors to ensure component quality and manufacturability.
• Support NPI (New Product Introduction) transitions from R&D to production.

6. Data Analysis and Reporting

• Collect and analyze process data to identify trends and improvement opportunities.
• Implement real-time data collection and traceability systems (MES, SPC dashboards).
• Present yield, performance, and process capability metrics to management.

Education & Experience

• A bachelor’s or master’s degree in engineering or its equivalents with at least 3-5 years of relevant work experience in Photonics or a related manufacturing field
• Possess technical expertise pertaining to Manufacturing, Assembly & Test Processes for mechanical assemblies, PCBA and optical components.
• Strong problem-solving skills and excellent knowledge in Six Sigma DMAIC approach, Lean principles, DOE, SPC, FMEA, GR&R and other quality improvement tools. Certified Six Sigma Green or Black Belt will be an advantage.
• Excellent interpersonal skills with good verbal and written communication skills.
• Self-directed and able to work independently with little or no direct supervision.
   

Our vision is to transform how the world uses information to enrich life for all.  
 
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. 

As part of the HIG HBM Product Engineering organization, you will help drive the development of next-generation GenAI, machine learning, and advanced data analytics solutions for semiconductor engineering. In this role, you will work on intelligent systems that improve engineering productivity, strengthen technical decision-making, and unlock insights from complex manufacturing, validation, and engineering workflows. 

You will collaborate with cross-functional teams across Product Engineering, Design Engineering, System Engineering, Data Science, IT, and Manufacturing to prototype, build, and scale practical AI-driven solutions that improve quality, cost, cycle time, and engineering efficiency. 

Key Responsibilities 

• GenAI System Development: Design, build, and improve GenAI-powered and agentic systems supporting semiconductor engineering workflows such as code generation, data extraction, analytics, documentation automation, failure triage, and technical knowledge retrieval.  

• Large-Scale Data Pipelines: Develop scalable data pipelines and analytical workflows to ingest, clean, transform, and analyze large, complex, and heterogeneous datasets from multiple manufacturing and engineering systems.  

• Advanced Data Analytics: Apply Python, SQL, and data science libraries (e.g., pandas, matplotlib) to perform deep analysis, generate visualizations, and deliver actionable engineering insights.  

• LLM Workflow Engineering: Build, evaluate, and optimize LLM-based workflows, including prompting, retrieval-augmented generation (RAG), inference orchestration, benchmarking, and quality evaluation.  

• Machine Learning Production: Develop and productionize machine learning and deep learning models for classification, regression, anomaly detection, failure analysis, and engineering decision support.  

• Distributed Data Processing: Implement robust data processing techniques such as data cleansing, outlier detection, and missing-data handling using distributed or large-scale frameworks (e.g., PySpark, BigQuery).  

• Cross-Functional Collaboration: Partner with domain experts and cross-functional teams to translate complex engineering problems into scalable AI/ML and analytics solutions.  

• Production Deployment: Support deployment, monitoring, and operationalization of AI/ML solutions in cloud and enterprise environments.  

• Technical Communication: Communicate technical findings, recommendations, and model outcomes clearly to both technical and non-technical stakeholders.  

• Innovation Leadership: Identify and drive high-impact opportunities where GenAI, machine learning, and analytics can improve engineering productivity and business outcomes. 

Minimum Qualifications 

• Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, Data Science, Statistics, Artificial Intelligence, or a related field. 

• Minimum 2 years of hands-on experience developing and deploying AI applications in semiconductors, electronics, or other engineering industries. 

• Strong programming proficiency in Python and SQL.  

• Strong technical foundation in data analytics and visualization, including tools and libraries such as pandas, scikit-learn, matplotlib, plotly, or similar ecosystems.  

• Familiarity with agentic AI frameworks such as LangGraph, Google ADK, AutoGen and evaluation tools like AgentEval. 

• Familiarity with modern AI coding tools / agentic coding harnesses, such as Claude Code, Roo Code, Cursor, Cline, Windsurf, Gemini CLI, or similar tools.  

• Hands-on experience developing and deploying AI/ML systems involving LLMs, including RAG, agentic workflows, and frameworks such as PyTorch or TensorFlow. 

• Cloud experience with GCP, AWS, or Azure, including deploying ML pipelines in production. 

• Experience with LLM training, inference, and evaluation workflows, including prompt design, benchmarking, validation, or retrieval-augmented systems.  

• Experience analyzing large, complex, and heterogeneous datasets from multiple systems and applying sound techniques for data cleansing, outlier handling, and missing-data treatment.  

• Strong analytical, problem-solving, and software development skills.  

• Strong communication skills with the ability to explain technical concepts and findings effectively.  

• Strong sense of ownership, accountability, and engineering rigor. 

Preferred Qualifications 

• Experience building agentic systems or AI solutions for semiconductor manufacturing, product engineering, validation, yield improvement, reliability, or failure analysis. 

• Deep understanding of semiconductor-specific AI/ML applications 

• Demonstrated understanding of deep learning architectures and computer vision.  

• Experience using enterprise data platforms such as BigQuery, Snowflake, MSSQL, Oracle, or Redshift. 

• Experience with Kubernetes or similar production infrastructure and deployment frameworks. 

• Experience with web application technologies such as JavaScript, HTML, and CSS.  

• Experience designing scalable, enterprise-grade AI/ML systems with attention to reliability, traceability, and operational readiness. 

• Familiarity with document-processing pipelines, technical knowledge platforms, or retrieval systems for engineering content. 

• Experience working in cross-functional environments spanning engineering, manufacturing, data science, and IT.