Total 372 firmware engineer job vacancies in Manufacturing / Production category in Singapore

Responsibilities:

• Review and analyze customer specifications and product requirements.
• Clarify specification discrepancies and technical uncertainties with customers.
• Define and document product parameters, labeling, laser marking, cassettes, and CofC requirements.
• Develop test methods, product controls, and inspection plans.
• Prepare official customer specification review documentation.
• Chair PST meetings and coordinate cross-functional discussions.
• Collaborate with Applications and Process Engineers to ensure product feasibility within fab capability.
• Create and maintain manufacturing specifications in SAP.
• Implement revisions and updates to existing product specifications.
• Support SAP-PTC, MES, and system improvement projects.
• Provide inputs on new customer requirements and support solution development.
• Participate in global Product Configuration initiatives and process improvements.
• Coordinate product revision cut-over activities with Planning, Technology, and Operations teams.

Requirements: 

• Degree in Engineering or Science-related disciplines.
• Relevant experience in similar functions or roles.
• Knowledge of SAP system is an advantage.

______________________________________________________

HOW TO APPLY :

Interested candidates, please submit your resume by clicking on “Quick Apply” or contact win@hkmsvs.com for more details.

Please provide following information in the resume for immediate processing

1) Reasons for leaving current and/or last employment

2) Last drawn and/or current salary

3) Expected salary

4) Date of availability and/or Notice Period

All applications will be treated in strictest confidence and only shortlisted candidates will be notified

Wee Wai Dan

EA License No : 03C5391

EA Reg No : R22109628

About the role:

We are looking for a hands-on Manufacturing Engineer to support the setup, testing, commissioning, and improvement of industrial robotic and automated machinery within a manufacturing environment.

Responsibilities:

• Perform setup, testing, commissioning, and troubleshooting of automated machines and robotic systems
• Provide technical support during machine assembly, production, and final testing
• Work closely with production, quality, R&D, and engineering teams to improve manufacturing processes and efficiency
• Support process improvement initiatives to reduce downtime and improve product quality
• Review and update BOMs and interpret 2D/3D engineering drawings
• Ensure manufacturing processes comply with safety and quality standards

Requirements:

• Diploma in Mechanical Engineering, Mechatronics, or related discipline
• Minimum 1 year of experience in industrial automation or manufacturing engineering
• Familiar with manufacturing processes, machine assembly, and process improvement
• Proficient in CAD/CAM and manufacturing-related software tools
• Strong troubleshooting and problem-solving skills with hands-on technical ability
• Good communication and teamwork skills, with the ability to work across departments
• Familiar with manufacturing safety standards and compliance requirements
• Self-motivated, detail-oriented, and able to work under pressure in a fast-paced environment
• Able to manage multiple tasks and projects effectively

Please include the following information in your resume.

• Current & Expected Salary
• Reason(s) for leaving
• Notice Period / Availability to commence work

By submitting any application or resume to us, you will be deemed to have agreed and consented to us disclosing your personal information to prospective employers for their consideration.

We regret only short-listed candidates will be notified.
EA License | 18C9251 WGT Group
Registration No | R22111484

System Software Engineer /Product Engineer (Hybrid Role)

Role Summary

The System Software Engineer / PE is a hybrid engineering role responsible for system software governance, platform integration, and end-to-end quality, performance, and process excellence.

This role bridges hands-on technical execution (BIOS, firmware, OS, drivers) with quality and engineering functions, ensuring high-quality system software delivery across platforms and ODMs.

The engineer works cross-functionally with BIOS, EC, OS, driver teams, hardware,validation, ODMs, and suppliers to drive robust design,efficient development processes, and measurable quality outcomes.

Key Responsibilities

1. System Software Engineering

·       Design, develop, integrate, and debug system software components, including:

OS-level components and platform enabling drivers

Hardware abstraction and system-level integrations

·       Analyze system-level issues across hardware,firmware, OS, and drivers, and drive root-cause resolution.

·       Collaborate with internal teams and ODM partnerson design reviews and integration readiness.

·       Support platform bring-up, feature enablement, and sustaining activities across multiple product generations.

·       Ensure compliance with system software standards, security requirements, and release criteria. 

2. Product Engineering(PE) 

·       Define, optimize, and enforce end-to-end system software development and release processes across projects.

·       Drive process standardization, documentation,and governance to improve predictability, efficiency, and quality.

·       Lead process gap analysis and corrective actions for recurring issues (e.g. late defects, rework, integration escapes).

·       Partner with validation, SIT, and ODM teams to ensure clear ownership, entry/exit criteria, and quality gates.

·       Enable scalable execution by translating complex requirements into repeatable workflows and checklists.

3. Cross-Functional & ODM Collaboration

·       Act as a technical interface between engineering teams and ODM partners.

·       Lead technical discussions, issue triage, and joint debug sessions across time zones.

·       Provide clear, data-driven communication on status,risks, and mitigation plans to stakeholders.

Qualifications

Education & Experience

·       Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Computer Engineering, or equivalent.

·       Typically 3+ years of experience in system software, firmware, OS, or platform engineering roles.

 Technical Skills

·  Strong understanding of system software architecture and platform integration.

o  Hands-on experience with one or more:

§  Windows or Linux OS internals

§  Device drivers or hardware-enabling software

o  Solid debugging skills across hardware–firmware–OS boundaries.

o  Knowledge of industry interfaces and protocols (e.g. PCIe, USB, I2C) is a plus.  

Process & Soft Skills

• Strong analytical and problem-solving mindset with a process-driven approach.
• Ability to work independently and lead initiatives with minimal supervision.
• Excellent communication skills; able to influence across engineering, validation, and ODM teams.
• Comfortable operating in global, cross-site, and cross-functional environments.

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the TechAalto Privacy Policy, a copy of which is published at Tech Aalto’s website (https://www.techaalto.com/privacy/)

Confidentiality is assured,and only shortlisted candidates will be notified for interviews.

Tech Aalto Pte Ltd | 24S2130 EA | Pushpanjli Kir | R1657306.

Job Description

Role Responsibilities:  

• Develop and maintain all methods, operating sequences, and processes in the fabrication of parts, components, subassemblies, and final assemblies 

• Work with other engineering functions to coordinate the release of product improvements and new products, and manage manufacturing engineering projects as needed 

• Lead team in using design for excellence (DFx) principles to estimate and reduce manufacturing and/or product costs, and to improve product quality 

• Determine time standards and make recommendations for tooling and process requirements 

• Develop and use test procedures, evaluate test results, and evaluate work methods, procedures, and policies   

• Determine root causes and corrective actions for issues that arise during assembly or system testing; perform Process Failure Mode & Effects Analysis; and provide reports as needed 

• Mentor and train lower-level engineers, helping to develop and update training curriculum 

• Coordinate sourcing activities with external or internal suppliers, as needed 

Minimum Qualifications:

• Bachelor’s degree

• 7-10 years of experience

• Demonstrated conceptual knowledge and technical experience for everyday problem-solving on the job   

Preferred Qualifications:

• Strong interpersonal skills—including the ability to clearly explain difficult or sensitive information, and to build consensus 

Physical Requirements:
This position may require standing for extended periods of time, walking, working in tight spaces, bending, squatting, twisting, kneeling, reaching, lifting, the ability to distinguish between colors, the ability to work in an environment with noise that may be difficult for some individuals with sensitivity to noise, and the use of hand and power tools.  Additionally, because this position also may involve working in a clean room, the use of appropriate Personal Protective Equipment such as coveralls, hoods, booties, safety glasses, gloves, respirators, chemical aprons, and face shields may be required. 

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. 

Company’s Profile:

Our client is a leading international product leader in the automotive industry. With a global presence in over 80 countries worldwide, they are rapidly expanding as they advance into the dynamic landscape of the automotive industry. Their Singapore office and manufacturing plant has been established for more than 25 years and they are now seeking a qualified Industrial Engineer to join their team!

Work location: Ang Mo Kio

Job Responsibilities:

• Trouble shoot and repair or faulty production equipment
• Improve and upgrading of Production equipment hardware and control (software)
• Identify and rectify process problem for quality improvement / scrap reduction
• Updated and control of equipment spare parts
• Installation and qualification of new processes and equipment
• Support new program / model start-up
• Minimizing machine downtime , scrap raw materials / products
• Maintaining correct spare parts inventory and product quality

Requirements:

• Educational Qualification in any Engineering field
• At least 1 - 3 years' preventative maintenance experience of production equipment, in any manufacturing environment

Interested candidates may whatsapp your resume to 8977 7062. Only shortlisted applicants will be contacted.

By submitting your personal data and/or resume, you give consent to the collection, use and disclosure of your personal data and/or resume by the company (or its agent) for the purpose of the processing and administration by company relating to this job application.

Cassie Chan | R2197426

EnviroDynamics Solutions Pte Ltd| EA No: 12C6285

• Provide support for operational and technical activities
• Machine & Equipment maintenance / calibration
• Establish SOP and machine manual to provide comprehensive servicing and maintenance programmes
• Identify areas of process improvement and automation to implement work improvement programmes to achieve desired machine efficiency and reject rate
• Plan, evaluate and improve technical/engineering projects for cost and productivity
• Implementation of industrial safety practice to ensure compliance
• Any other ad-hoc tasks as assigned

JOB REQUIREMENTS:

• Min Degree in Mechanical / Electrical Engineering or related discipline
• No experience needed, training provided

Office hours, Mon to Fi
Medical Device MNC

Interested candidates, please forward your resume to kevynhuang@recruitexpress.com.sg

Consultant: Huang Jingsheng Kevyn (R1333338)
Recruit Express Pte Ltd (99C4599)

Technical Leadership & Strategy

• Set technical direction for CPIE initiatives in UE_ROW, quality indices, Frontend–PTS integration, and high‑value bits (PG2+) yield, aligned to business priorities and technology roadmaps.
• Architect new data solutions, methodologies, and frameworks to:
• Identify and prioritize yield, quality, and reliability improvement opportunities across process, test, and design
• Model, monitor, and benchmark tool performance and process capability at scale

• Enable equipment prognostics and advanced process integration optimization

• Define test and screening optimization strategies that materially improve product grade yield without quality escape

• Drive end‑to‑end problem solving on complex, cross‑module issues that cannot be addressed within a single function or site.

Cross‑Functional & Organizational Influence

• Partner deeply with Process & Equipment Engineering, Manufacturing (MFG), Product Integration Engineering (PIE), and Data Science (DS) teams to:

• Establish feasibility and technical soundness

• Quantify business impact

• Rapidly prototype and mature solutions

• Act as a technical integrator across Global Quality (GQ), Product Engineering (PE), Central PEE (CPEE), Smart Manufacturing AI (SMAI), Technology Development (TD), and suppliers, ensuring solutions are scalable, manufacturable, and production‑ready.

• Influence technical and strategic decisions beyond direct ownership, including across sites, nodes, and organizations.

Execution, Scale, and BKM Deployment

• Lead the development, validation, and global deployment of BKMs, ensuring sustained performance and learning‑rate acceleration.

• Balance long‑term architectural thinking with near‑term execution, driving measurable improvements in yield, quality, and cycle time.

• Anticipate risks and tradeoffs (technical, schedule, cost, quality) and provide clear decision frameworks for leadership and stakeholders.

• Support global engineering teams, including engagement across time zones and non‑standard hours when required.

Collaboration & Leadership Expectations

• Function as a go‑to expert and mentor within CPIE and the broader FE engineering community.

• Lead by influence rather than authority, enabling alignment across diverse technical disciplines.

• Champion continuous improvement in systems, methods, tools, and skill sets to keep Micron best‑in‑class.

• Demonstrate a strong growth mindset—continuously learning, unlearning, and evolving technical approaches.

Communication

• Communicate complex technical concepts clearly and concisely to both technical and executive audiences.

• Produce high‑quality written artifacts (technical proposals, design reviews, decision memos).

• Represent CPIE effectively in cross‑org reviews and executive forums.

• Willing to travel as needed to support global objectives.
  

  Requirements & Technical Competency

  • PhD, Master’s, or Bachelor’s degree in Engineering or related discipline.

  • 8+ years of semiconductor industry experience, with deep exposure to product integration, process engineering, test solutions, product engineering, or circuit design.

  • Recognized depth in semiconductor manufacturing processes, equipment, and control systems.

  • Strong proficiency in data analysis and modeling tools (e.g., Y3, JMP, Python).

  • Demonstrated application of statistical methods and/or machine learning to real manufacturing problems.

  • Proven track record of technical leadership, decision‑making, multi‑tasking, and root‑cause resolution on ambiguous problems.

Technical Leadership & Strategy

• Set technical direction for CPIE initiatives in UE_ROW, quality indices, Frontend–PTS integration, and high‑value bits (PG2+) yield, aligned to business priorities and technology roadmaps.

• Architect new data solutions, methodologies, and frameworks to:

  Identify and prioritize yield, quality, and reliability improvement opportunities across process, test, and design

  Model, monitor, and benchmark tool performance and process capability at scale

  Enable equipment prognostics and advanced process integration optimization

  Define test and screening optimization strategies that materially improve product grade yield without quality escape

• Drive end‑to‑end problem solving on complex, cross‑module issues that cannot be addressed within a single function or site.

Cross‑Functional & Organizational Influence

• Partner deeply with Process & Equipment Engineering, Manufacturing (MFG), Product Integration Engineering (PIE), and Data Science (DS) teams to:

• Establish feasibility and technical soundness

• Quantify business impact

• Rapidly prototype and mature solutions

• Act as a technical integrator across Global Quality (GQ), Product Engineering (PE), Central PEE (CPEE), Smart Manufacturing AI (SMAI), Technology Development (TD), and suppliers, ensuring solutions are scalable, manufacturable, and production‑ready.

• Influence technical and strategic decisions beyond direct ownership, including across sites, nodes, and organizations.

Execution, Scale, and BKM Deployment

• Lead the development, validation, and global deployment of BKMs, ensuring sustained performance and learning‑rate acceleration.

• Balance long‑term architectural thinking with near‑term execution, driving measurable improvements in yield, quality, and cycle time.

• Anticipate risks and tradeoffs (technical, schedule, cost, quality) and provide clear decision frameworks for leadership and stakeholders.

• Support global engineering teams, including engagement across time zones and non‑standard hours when required.

Collaboration & Leadership Expectations

• Function as a go‑to expert and mentor within CPIE and the broader FE engineering community.

• Lead by influence rather than authority, enabling alignment across diverse technical disciplines.

• Champion continuous improvement in systems, methods, tools, and skill sets to keep Micron best‑in‑class.

• Demonstrate a strong growth mindset—continuously learning, unlearning, and evolving technical approaches.

Communication

• Communicate complex technical concepts clearly and concisely to both technical and executive audiences.
• Produce high‑quality written artifacts (technical proposals, design reviews, decision memos).
• Represent CPIE effectively in cross‑org reviews and executive forums.
• Willing to travel as needed to support global objectives.

Requirements & Technical Competency

• PhD, Master’s, or Bachelor’s degree in Engineering or related discipline.

• 8+ years of semiconductor industry experience, with deep exposure to product integration, process engineering, test solutions, product engineering, or circuit design.

• Recognized depth in semiconductor manufacturing processes, equipment, and control systems.

• Strong proficiency in data analysis and modeling tools (e.g., Y3, JMP, Python).

• Demonstrated application of statistical methods and/or machine learning to real manufacturing problems.

• Proven track record of technical leadership, decision‑making, multi‑tasking, and root‑cause resolution on ambiguous problems.

• Provide support for operational and technical activities
• Machine & Equipment maintenance / calibration
• Establish SOP and machine manual to provide comprehensive servicing and maintenance programmes
• Identify areas of process improvement and automation to implement work improvement programmes to achieve desired machine efficiency and reject rate
• Plan, evaluate and improve technical/engineering projects for cost and productivity
• Implementation of industrial safety practice to ensure compliance
• Any other ad-hoc tasks as assigned

JOB REQUIREMENTS:

• Min Degree in Mechanical / Electrical Engineering or related discipline
• No experience needed, training provided

Office hours, Mon to Fi
Medical Device MNC

Interested candidates, please forward your resume to kevynhuang@recruitexpress.com.sg

Consultant: Huang Jingsheng Kevyn (R1333338)
Recruit Express Pte Ltd (99C4599)

About the role

We are looking for an experienced Production Engineer with a solid background in biopharmaceutical manufacturing. The ideal candidate is skilled in process validation, cGMP compliance, and continuous improvement within a regulated production environment.

Key responsibilities

• Provide technical leadership for production systems, ensuring compliance with SOPs and regulatory standards.
• Manage and revise SOPs, Batch Records, and related compliance documentation.
• Investigate non-conformances; lead CAPA and effectiveness check processes.
• Perform periodic revalidation of batch records, utilities, and cleaning validation.
• Initiate and manage Change Requests for continuous process improvements.
• Oversee production scheduling, workforce planning, and shift operations.
• Support IQ/OQ/PQ and requalification activities for critical equipment.
• Act as SME during regulatory audits and support audit-readiness activities.
• Lead Kaizen and Lean initiatives to drive productivity, quality, and safety improvements.
• Collaborate with QA, QC, Microbiology, and Engineering teams for production and compliance goals.

Skills & qualifications

• Degree/ITE/Diploma in Biotechnology, Life Sciences, or a related discipline
• Experience in aseptic processing, CIP/SIP, and cleanroom operations
• Proficiency in DCS systems and equipment commissioning
• Familiar with global regulatory audit requirements
• Proven shift team leadership and cross-functional collaboration

We appreciate your interest in joining our team. Only candidates shortlisted for interview will be notified

Key responsibilities:

• Work closely with Test Development leader together to drive test strategy, test plan, and characterization plan definition for NPI product development.
• Collaborate with design, manufacturing, and quality assurance teams throughout the product development process.
• Prepare technical documentation, including charac plans, test plans, hardware request document, test status report, and charac report.
• Conduct testing and analysis to validate product performance and compliance with standards.
• Manage sample testing, anticipate potential issues, and adjust processes to fulfill sample demand
• Identify and resolve technical issues during development and production.
• Support product launch activities and provide technical assistance to customers and internal teams.
• Evaluate and improve existing products to enhance cost efficiency, output, and quality by increasing yield, reducing test time, analyzing customer returns and test coverage improvement.

Required qualifications:

• Bachelor’s degree in electronics engineering or a related field.
• Experience in product development, design, or manufacturing.
• Proficiency in phyton and data analytic software.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.
• Knowledge of industry standards and regulations.
• Experience with industrial standard ATE (V93K, T2000, Uflex+..)

THE ROLE:

We are a growing Product and Test Engineering team who manages critical and strategic New Product Introduction (NPI) and sustaining to support the Embedded Business Unit. We do exciting product development based on leading-edge technology that will power the next generation processors used for automotive, robotics, high-end networking and storage, industrial, aerospace and defense.

 If you are looking for a fulfilling and challenging career as an engineer in NPI System-level Test (SLT) Product Development, you are in the right place! As a Member of Technical Staff (MTS) SLT Product Development Engineer, you will be responsible for developing and driving SLT test solutions to meet production business milestones and KPI metrics (test time, yield, cost, quality). The expectation is to perform technical leadership through interaction with Diagnostics team, Quality & Reliability team, BIOS, software & platform teams to come up with the best solution that balances quality and cost. You will experience working with and learning from AMD’s talented engineering teams around the world.

THE PERSON:

As part of this team, you will have complete ownership in developing SLT test program for next-generation AMD microprocessors. You will work on internal SLT platforms and debug test infrastructure issues including test HW, test SW, diagnostics, and device-specific IP.  Additionally, you will leverage SLT data to drive improvements in either the product’s platform software or upstream ATE test coverage.  The engineer must ensure overall compatibility, compliance, and test coverage of microprocessors from product definition through product qualification and into high-volume manufacturing by developing product specific test hardware, software, and diagnostics.

KEY RESPONSIBILITIES:

• Accountable for driving test solution/coverage development, optimization to meet business milestones: schedule, test time, yield, cost and quality.
• Must have a strong proven track record of NPI experience in directing SLT Test patterns, calibration test flows/method development, debug, test and characterization experience working in an NPI Product Engineering team.
• Collaborate with various engineering teams to determine System Level Test (SLT) coverage, content, characterization requirements, and root cause resolution for SLT device failures
• Early engagement in pre and post silicon phases, including test flow planning, test coverage bring-up, test flow integration, and test hardware checkout.
• Validate new product features, test conditions, test methodologies, and test contents
• Perform silicon characterization across process, voltage, and temperature
• Conducts engineering evaluation, test program correlation, releases for high volume production and engineering enhancement or improvement projects
• Drive Key Performance Indicators such as test time reduction, yield debug, quality improvement across products and drive innovation on test strategy
• Provides overall Test Engineering support for AMD’s S3 products tested at global facilities
• Working with regional teams, including Product development group and Manufacturing group in the early stage bring up for product cycles at the AMD high volume sites
• Represents test team on any test excursions and issue escalations to the respective owner to identify resolution or containment action for the issue
• Interface between AMD and OSAT for test program implementation and resolution for operation issues
• Requires strong understanding of test program, good communication and capability to drive/deliver critical business milestones
• Provide technical supervision or mentoring junior engineers
• Familiar with RMA debug is a plus.
  

PREFERRED EXPERIENCE:

• Mastery of principles of test experience in System Level Test or x86 System Architecture
• >10 years of SLT technical leader with a successful track record of bringing up test patterns, debug low yield, test flow integration and characterization experience working in an NPI Product Engineering team.
• Proficient in Windows, Unix, and Linux operating systems
• Experience in platform test and debug
• Experience with IC test experience and assist in ASIC bring up and support activities
• Technical knowledge in OS kernel, driver, BIOS firmware
• Demonstrated programming and scripting experience using various programming languages (C, C++, Java, Ruby, Perl, Python)
• Knowledgeable in version control tools (Git)
• Electrical/Electronics, Computer Engineering, or comparable disciplines

ACADEMIC CREDENTIALS:

BS/MS Electrical Engineering, Computer Engineering, or comparable disciplines

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.

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.