Total 5,113 mechanical engineer job vacancies in Engineering category

About the Role

We are looking for exceptional AI Engineers to build the next generation of AI infrastructure and Machine Learning Systems(MLSys).

This role focuses on large-scale system infrastructure rather than model research. You will work on the core foundations that power large-scale AI training and inference systems, including Kubernetes cluster management, RDMA networking, unified KV Cache architecture, observability platforms, distributed systems, GPU orchestration, and CUDA kernel optimisation.

You will collaborate closely with AI researchers, infrastructure architects, networking engineers, and platform teams to maximize the efficiency, scalability, and reliability of AI systems.

Key Responsibilities

AI Infrastructure & Kubernetes

• Design, deploy, and operate large-scale Kubernetes-based AI infrastructure.
• Develop cluster governance frameworks, scheduling policies, resource isolation, and multi-tenancy capabilities.
• Build and optimize GPU orchestration platforms using Kubernetes, Slurm, Volcano, Kueue, Ray, and related technologies.
• Improve cluster utilization, reliability, elasticity, and operational efficiency.

RDMA & High-Performance Networking

• Design and optimize RDMA, InfiniBand, RoCE, and high-speed Ethernet fabrics for distributed AI workloads.
• Optimize GPU-to-GPU and GPU-to-NIC communication paths.
• Improve distributed communication efficiency for large-scale training and inference.
• Analyze and eliminate networking bottlenecks across AI clusters.

Unified KV Cache & Distributed Memory Systems

• Design and implement unified KV Cache architecture across:
• GPU HBM
• CPU Memory
• RDMA-accessible Memory
• NVMe SSD
• Distributed Storage
• Develop efficient KV Cache sharing, migration, offloading, and scheduling mechanisms.
• Optimize latency and throughput for large-scale inference systems.

CUDA & System Performance Optimisation

• Develop and optimize CUDA kernels for training and inference workloads.
• Profile and optimize GPU compute, memory, communication, and scheduling efficiency.
• Contribute to low-level optimization of AI frameworks and inference engines.
• Work on technologies such as FlashAttention, TensorRT, Triton, NCCL, CUTLASS, and custom operators.

Observability & Reliability

• Build end-to-end observability platforms for AI infrastructure.
• Design monitoring, logging, tracing, alerting, and troubleshooting frameworks.
• Develop performance dashboards and SLO-driven operational systems.
• Improve maintainability, debuggability, and operational excellence of AI platforms.

Automation & Platform Engineering

• Build automation tools for deployment, provisioning, monitoring, and operations.
• Develop Infrastructure-as-Code (IaC) solutions using Terraform, Ansible, and related tools.
• Build CI/CD pipelines and engineering productivity platforms.
• Improve platform scalability and operational efficiency.

Required Qualifications

Education

• Bachelor's degree or above in Computer Science, Software Engineering, Electrical Engineering, or related fields.

Technical Skills

• Strong software engineering and programming skills.
• Excellent system design capability and strong engineering craftsmanship.
• Strong coding standards and code quality awareness.
• Strong sense of ownership, accountability, and execution.

System Fundamentals

Strong understanding of:

• Operating Systems
• Computer Networks
• Distributed Systems
• Data Structures and Algorithms
• Linux Internals

Programming Languages

Proficiency in one or more of:

• C++
• Go
• Python
• Rust

AI Infrastructure Experience

Hands-on experience in one or more of:

• Kubernetes
• GPU Infrastructure
• Distributed Systems
• AI Infrastructure
• HPC (High Performance Computing)
• Cloud-Native Platforms

Networking Experience

Experience with:

• RDMA
• InfiniBand
• RoCE/RoCEv2
• GPUDirect
• NCCL
• UCX
• High-Speed Ethernet

GPU & Performance Engineering

Experience with:

• CUDA
• GPU Performance Optimization
• Multi-GPU Systems
• Distributed Training
• Distributed Inference

Preferred Qualifications

• Experience building large-scale AI training or inference clusters.
• Experience with vLLM, SGLang, TensorRT-LLM, Triton, DeepSpeed, Megatron-LM, Ray, or similar frameworks.
• Experience with unified KV Cache systems, memory hierarchy optimisation, or distributed storage systems.
• Experience with Kubernetes GPU Operator and NVIDIA NetworkOperator.
• Experience with Prometheus, Grafana, Loki, OpenTelemetry, and observability platforms.
• Experience contributing to open-source projects such as: vLLM, FlashAttention, CUTLASS, TVM, MLIR, Triton, Kubernetes, NCCL
• Experience working across AI Infrastructure, HPC, Networking, and Silicon Systems is highly desirable.

We are seeking a highly motivated and hands-on AI Engineer /Agentic AI Builder to drive the development, implementation, and optimization of autonomous, agentic AI workflows across our Testing, Inspection, and Certification (TIC) operations. In this role, you will be a core builder—leveraging Large Language Models (LLMs), workflow automation, and modern AI APIs. Design and deploy Agentic AI systems capable of executing complex, multi-step tasks to improve internal efficiency and enhance our standard operating procedures (SOPs).

This role is ideal for a builder who loves setting up autonomous AI agents, connecting them via modern APIs to real-world business tools, and deploying systems that drastically reduce manual operational bottlenecks.

Key Responsibilities:

• Agentic AI Setup & Orchestration: Design, build, and deploy single and multi-agent systems that utilize autonomous reasoning, tool-calling (function calling), and memory to complete complex workflows with minimal human supervision.
• Process Automation & Tool Integration: Identify opportunities to automate manual text- and data-heavy workflows within our testing, lab, and inspection operations (e.g., parsing compliance standards, synthesizing lab results, and auto-generating draft inspection reports).
• Hands-on Coding & API Deployment: Write, test, and deploy clean production-grade Python code to integrate AI agents with internal data sources and third-party APIs.
• Evaluation& HITL Integration: Implement Human-in-the-Loop (HITL) review mechanisms into agent workflows to ensure high-stakes data is verified by human experts before final execution.
• Prompt &Context Engineering: Fine-tune system prompts, establish agent guardrails, and implement robust context management to minimize AI hallucinations and ensure data security.
• Operational Collaboration: Work closely with laboratory technicians, inspectors, and operations managers to map out their manual SOPs and translate them into automated agent workflows.
• User Adoption & Enablement: Help drive the adoption of new AI tools by creating simple documentation, gathering feedback from end-users, and measuring how much time the tools save.
  

Qualifications:

Minimum Requirements:

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical discipline (or equivalent practical experience/portfolio of built AI projects).
• Experience: at least 3 years of hands-on experience in software engineering, python programming, or AI prototype development.
• Agentic AI& LLM Familiarity: Practical experience setting up AI tools, writing effective system prompts, and utilizing LLM APIs (OpenAI, Anthropic, etc.) for tool-calling or multi-step execution.
• Programming Skills: Strong fundamental programming skills in Python, with experience using collaborative software workflows (e.g., Git).
• Problem-Solving Mindset: Ability to break down complex, manual human procedures into clear logical rules and steps that an AI agent can execute.

Preferred (not required but would be an advantage to have):

• Agentic Frameworks: Hands-on experience with modern agent orchestration frameworks or graph-based tools (e.g., LangGraph, CrewAI, AutoGen, or flow builders like Flowise/Langflow).
• Information Retrieval: Exposure to Retrieval-Augmented Generation (RAG) architectures and vector databases.
• Document Processing: Experience using OCR and AI tools to convert unstructured laboratory PDFs, images, and inspection logs into structured data for agent ingestion.
• TIC Industry Exposure: A basic understanding of or interest in lab workflows, ISO standards, or regulatory compliance

Responsibilities

• Provide technical support and effective site coordination, ensuring timely resolution of project and installation issues.

• Apply sound engineering knowledge, design expertise, and understanding of relevant building services codes and standards to support project execution.

• Ensure materials and installation works carried out by suppliers and subcontractors comply with project specifications and quality management requirements.

• Coordinate, monitor, and inspect supplier deliveries, equipment, and subcontractor works to maintain quality standards.

• Prepare and review shop drawings, coordinated drawings, and related technical documentation.

• Develop work schedules and participate in client, consultant, and internal project meetings.

• Support the Project Manager in managing daily project activities, including planning, quality assurance, safety compliance, and project progress monitoring.

• Liaise closely with the main contractor and project stakeholders to ensure smooth execution and minimize rework.

• Monitor and control site materials and equipment usage to reduce wastage and optimize resources.

• Maintain close communication with suppliers and subcontractors to ensure timely deliveries and avoid delays impacting project schedules.

• Conduct inspections to identify and rectify non-conforming materials, products, or installations, preventing defects and quality issues.

• Evaluate and implement innovative technologies and installation methodologies to enhance productivity and operational efficiency.

• Track site progress closely and provide clear direction and communication to subcontractors and suppliers.

• Perform any other duties and responsibilities as assigned. 

  Working days: 5 days working, 8:00 to 4:45 (Based on Project) 

For interested applicants, kindly send your resume in Word/PDF format to include the following in your resume including:

1. Current Salary

2. Expected Salary

3. Availability

4. Reason for leaving

Thank you for your application and we regret that only shortlisted applicants will be notified

By submitting any application or resume to us, you will be deemed to have agreed & consented to us collecting, using, retaining & disclosing your personal information to prospective employers with the services provided by us.

NGUYEN THI DOAN | R23116355

RRecruiter Pte. Ltd. | 18C9514 

Main Responsibilities: 

• Configure and support MES workflows within PharmaSuite / Catalyst
• Support electronic batch record (EBR) design and execution
• Work closely with operations, QA, and IT teams for system integration
• Perform testing, validation, and troubleshooting of MES workflows
• Support change control, system upgrades, and hypercare activities

Requirements: 

• At least 4 years of experience in MES within pharma manufacturing
• Hands-on experience with PharmaSuite / Catalyst systems
• Strong understanding of GMP, ISA-95, and batch processes
• Exposure to system interfaces (ERP / DeltaV / PLC) and validation lifecycle

Contract Duration: 12 months with options to renew based on performance

• Plan and execute engineering works efficiently.
• Ensure operation and maintenance of gas systems and equipment.
• Handle system design, project planning, and cost estimation.
• Maintain accurate technical drawings and documentation.
• Prepare timely engineering and maintenance reports.
• Conduct technical training for staff development.
• Manage spare parts inventory to maintain adequate stock.
• Liaise with suppliers, subcontractors, and vendors.
• Ensure compliance with regulations, safety, and industry standards.
• Provide troubleshooting, emergency response, and standby support when required.
• Follow established SOPs in all work.
• Perform other duties as assigned by the superior.

Qualification and Skills

• Diploma or Degree in related field (Chemical Engineering, Safety, Environmental)

• At least 2 years of relevant experience in semiconductor, manufacturing, chemical, gas or similar working environment

• Good problem-solving and analytical skills

• Good written, verbal communication and interpersonal skills

• Experience in gas supply distribution systems would be an added advantage
  

ThunderSoft, a well-known OS and intelligent device products and technology provider, has been continuously accumulating and innovating in the operating system field, with its business expanding gradually from smart phone to smart vehicle, AIoT and smart industries. ThunderSoft was successfully listed in 2015, which leads it to be China's very first listed technical company specialized in the intelligent operating system. Till now, ThunderSoft has covered more than 40 cities around the world, with a total of over 14,000 employees.

Job Description
Job Responsibilities:

• Comprehend the SOC as a complete system which includes HW (Silicon), FW, BIOS & SW.
• Run and debug system-level tests (SLT), reproduce failures, and collect logs.
• Setup bench component level and system level testing and diagnostic capabilities.
• Generate hypothesis and able to come up with experiments and electrical tests to prove the hypothesis for observed failures.
• Run root cause analysis, resolve quality issues and drive for improvements on AMD products.
• Provide technical support on device-related inquiries and generate reports for customer cases.

Job Requirements:

• BS or MS in Electronics Engineering, Computer Engineering, Computer Science, or related field.

• Experience in embedded systems, validation, or hardware/firmware debug (internship/project experience is acceptable).

• Fundamental understanding of computer architecture (CPU, memory, storage, PCIe, USB, network interfaces).

• Hands-on experience with x86 platforms (desktop, industrial PC, server, or embedded x86 devices).

• Exposure to system bring-up, BIOS/UEFI, boot flow, POST, and OS boot troubleshooting.

• Basic familiarity with hardware debug interfaces/tools (UART/serial console, JTAG, oscilloscope or logic analyzer is a plus).

• Good programming skills (C/C++, Python, Perl).

• Proficiency in leveraging AI tools like GitHub Copilot is a plus.

• Comfortable working in Linux command-line environment.

BIPO SERVICE (SINGAPORE) PTE. LTD.
18S9180

A banking institution is looking for an Infrastructure Automation Engineer to build self-healing infrastructure automation using AI, RPA, and orchestration tools—moving from manual operations to intelligent, event-driven automation.

Key Responsibilities

• AI-Powered Automation: Develop AI-enabled workflows for incident detection, analysis, and remediation, integrating LLMs (OpenAI/Claude) for intelligent decision-making and root cause analysis

• Infrastructure Automation: Build Ansible playbooks for automated remediation and configuration management across Unix, Windows, Network, and Firewall domains, integrated with orchestration tools (Ansible Tower, APIs)

• Use Case Delivery: Implement key AI use cases including backup failure analysis with auto-remediation, and intelligent incident handling via API integrations (e.g., NetBackup)

• Platform Integration: Connect monitoring tools (Elastic/Dynatrace), CMDB (Device42), and AI platforms into an end-to-end AI + automation ecosystem

• Collaboration & Enablement: Work closely with infrastructure platform teams to build shared automation capabilities, driving a Build → Upskill → Transfer model to domain teams

Requirements

• Strong experience with Ansible, automation scripting, and Python

• Deep understanding of infrastructure systems (Unix, Windows, Network)

• Hands-on with APIs, system integration, and event-driven architecture

• Exposure to AI/LLM integration (OpenAI, Claude) and RPA tools (UiPath)

• Experience with AIOps and observability tools (Elastic, Dynatrace)

• Proven ability to deliver infrastructure automation at enterprise scale

• Able to bridge infrastructure, AI, and automation effectively
  

  Interested candidates please email your latest resume to subagio@tangspac.com

• Well Established Security Technology Company

• Salary: $4500 - $5500 + $300 Allowance

• Working Hours: 8:30am - 5:30pm (Monday - Friday)

• Working location: Jurong (Based on Project Site)

• Variable Bonus + Excellent Welfare & Benefits

Job Scope

• Deploy, configure, and maintain the VMware Cloud Foundation (VCF) infrastructure (vSAN, NSX, vCenter, SDDC Manager).
• Deploy, configure, manage, and troubleshoot VMware Tanzu and Kubernetes clusters for application hosting.
• Utilize Aria Automation and GitLab CI pipelines for automated resource provisioning and application deployments.
• Administer, configure, and troubleshoot Linux and Windows server operating systems, web servers (Tomcat, Apache, IIS), and applications.
• Monitor system performance, health, and resource utilization within the VCF, Tanzu, and Kubernetes environments.
• Implement security hardening baselines and oversees security testing (DAST, SAST, PT, SVS) based on policies.
• Troubleshoot and resolve complex infrastructure and application issues.
• Collaborate with HQ technical teams and government CISO Teams, providing operational feedback and addressing issues.

Requirement

• Higher NITEC/Diploma in IT Engineering or relevant certifications such as CISSP/CCNA/CCNP
• 1 - 2 years of relevant experience
• Experience with cloud environment deployment and maintenance is an advantage

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume:

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background

We regret that only shortlisted candidates will be contacted.

YEOW CHANG FU (R23118759)

EA Recruitment Pte Ltd

EA License No: 21C0492

Key Responsibilities

• Review and assess AC and DC marine power system designs, philosophies and integration arrangements
• Conduct detailed review of analytical studies including:
  - Load flow and dynamic response
  - Short-circuit and selectivity
  - Protection coordination and relay settings
  - Harmonics, transient stability & power quality
  - Arc flash and fault containment
• Evaluate system layouts including MV/LV switchboards, distribution systems, propulsion networks and emergency supplies
• Analyse and verify hybrid/alternative configurations (e.g., ESS/battery, DC grid, power converters and drives)
• Prepare technical assessments, gap analysis and recommendations based on study outcomes
• Review vendor submissions, SLDs, schematics, and electrical calculation reports
• Implement class and regulatory compliance (DNV, ABS, LR, IMO, IEC)
• Support FAT/SAT and commissioning from a systems perspective
• Present findings and risk-based recommendations to project teams and clients

Job Requirements

• Degree in Electrical or equivalent
• 4+ years’ experience in marine, offshore, industrial, or power systems engineering
• Demonstrated experience in AC and DC network analysis

Desired Skills

• Ability to interpret vendor data and detect design inconsistencies
• Strong analytical writing and communication skills

What We Offer

• A technically focused role with access to cutting-edge projects (newbuilds + retrofit)
• Supportive engineering culture and professional development pathways
• Competitive salary and benefits package

Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. Given our decade of success, we have evolved to become one of the top trusted providers in Singapore and service a client base across banking and financial services, insurance, information technology, healthcare, retail and supply chain.

We are currently looking to hire a Backend Systems Engineer - IOT/Smart City. This is an exciting opportunity to expand your skill set, achieve job satisfaction and work-life balance. More details as below.

ROLES AND RESPONSIBILITIES
Join the Software Engineering team on a physical Operations Technology (OT) integration project. You will build and maintain the backend systems that connect OT field devices to the digital twin platform — handling real-time data ingestion, protocol translation, and system integration across industrial communication standards.

Key Responsibilities

• Develop and maintain backend services and middleware for OT/IoT data ingestion using OPC-UA, MODBUS, and MQTT protocols.
• Build data pipeline components that normalise, process, and route telemetry from field devices to platform services and 3D visualisation layers.
• Integrate AI coding tools (e.g. Claude, Copilot) into daily development workflows for code generation, unit testing, and validation — this is an expected practice, not optional.
• Write and maintain automated test suites covering protocol adapters, data transformation logic, and integration endpoints.
• Collaborate with frontend Unity engineers and systems architects to define and implement API contracts (REST/WebSocket).
• Participate in code reviews, contribute to technical documentation, and support deployment through CI/CD pipelines.
• Troubleshoot field connectivity and protocol issues; work with OT/hardware teams on device commissioning and debugging.

Must-Have Requirements

• Hands-on experience with OPC-UA, MODBUS, and MQTT — protocol implementation, not just conceptual familiarity.
• Proficiency in backend development (Python, Node.js, Go, or Java — at least one).
• Active use of AI tools for coding, testing, and validation in prior roles or personal projects.
• Experience writing integration and unit tests; familiarity with test automation frameworks.
• Comfortable working with message brokers (MQTT brokers, Kafka, or similar) and time-series or event-driven data.

Good to Have

• Exposure to digital twin platforms or industrial IoT stacks.
• Familiarity with OT security considerations (network segmentation, secure protocol configuration).
• Experience with containerisation (Docker/Kubernetes) and CI/CD tooling.
• Knowledge of BACnet, DNP3, or other industrial protocols.

Experience

2–5 years in backend or systems software engineering, with at least some exposure to OT/IoT environments. Degree in Computer Science, Engineering, or equivalent practical experience.

WHAT’S ON OFFER

You will be remunerated with an excellent base salary and entitled to attractive company benefits. Additionally, you will get the opportunity to enjoy a fun and collaborative work environment, alongside a strong career progression.

To submit your application, please apply online or email your UPDATED CV in Microsoft Word format to keerthana@aven-sys.com. Your interest will be treated with strict confidentiality.

CONSULTANT DETAILS

Consultant Name: Keerthana Ramakrishnan

Avensys Consulting Pte Ltd

EA License 12C5759

Privacy Statement: Data collected will be used for recruitment purposes only. Personal data provided will be used strictly in accordance with the relevant data protection law and Avensys' privacy policy.

We are hiring Module Engineers (Process / Equipment) to support advanced semiconductor wafer fabrication in a high-volume manufacturing environment. This role focuses on Diffusion, Ion Implantation, Etch, or Thin Film deposition processes, ensuring stable tool performance, high yield, and continuous process improvement.

This is an excellent opportunity for engineers with semiconductor manufacturing, wafer fabrication, process engineering, or equipment engineering experience to grow in a leading global semiconductor company.

Key Responsibilities

• Support daily semiconductor wafer fabrication operations within assigned module (Diffusion / Implant / Etch / Thin Film)

• Perform process monitoring, equipment troubleshooting, and root cause analysis (RCA)

• Drive yield improvement, defect reduction, and process optimization initiatives

• Execute statistical process control (SPC), data analysis, and process capability monitoring

• Support equipment qualification, preventive maintenance (PM), and tool recovery

• Collaborate with Process Integration, Manufacturing, and Equipment Engineering teams

• Participate in continuous improvement (CI), lean manufacturing, and cost reduction projects

• Ensure compliance with safety, cleanroom protocol, and semiconductor quality standards

Requirements:

• Degree / Diploma in Electrical Engineering, Mechanical Engineering, Chemical Engineering, Materials Science, Physics, or related discipline

• Experience in semiconductor manufacturing / wafer fabrication environment preferred

• Exposure to Diffusion, Ion Implant, Etch, or Thin Film processes is highly advantageous

• Knowledge of SPC, DOE, 8D, RCA, or yield management tools

• Strong analytical, troubleshooting, and problem-solving skills

• Familiar with cleanroom operations and high-volume manufacturing (HVM) environment

• Good team player with strong communication skills

• Willing to work in shift rotation (if required)

How to apply: Interested candidates, kindly email updated resume to xiaoyee@wanco-manpower.com with Subject of "Engineer", thank you.

Job Summary:

We are seeking a skilled Computational Fluid Dynamics (CFD) Simulation Engineer to support the simulation and analysis of fluid flow, thermal simulation, and related physical phenomena in product development. The ideal candidate will have experience with industry-standard CFD tools and a solid foundation in fluid mechanics, thermodynamics, and simulation-driven design optimization.

Key Responsibilities:

• Perform CFD simulations to support design, development, and optimization of products and systems
• Analyze and recommend designs changes in fluid flow, thermal performance, aerodynamics, and/or cooling efficiency as required by the project
• Develop computational models, define boundary conditions, mesh geometry, and run simulations using tools such as ANSYS Fluent, FloEFD, or other CFD software packages
• Interpret simulation results, create reports, and provide actionable recommendations to design and product teams
• Collaborate with cross-functional teams including design, testing, and manufacturing to integrate simulation insights into product development
• Initiate experiments to gather insights that connect the gaps between simulation models, products, and systems as needed
• Validate simulation results with physical test data and refine models as necessary
• Maintain simulation best practices and contribute to the development of simulation standards and procedures
• Stay current with emerging CFD technologies and techniques

Requirements:

• Master’s degree or higher in Mechanical Engineering, Aeronautics Engineering, Physics or relevant disciplines
• Minimum 2 years of relevant experience in fluid flow / thermal simulation
• Experience in mechanical design and experimental techniques preferred
• Programming knowledge in C/C++ and/or Python
• Proficiency in using simulation software packages such as ANSYS Fluent, FloEFD, COMSOL, or similar CFD tools

Job Summary 

We are looking for a QC Equipment Qualification Specialist to support qualification, lifecycle management, and decommissioning activities for Quality Control laboratory equipment within a GMP-regulated manufacturing environment. 

This role will support the execution and coordination of qualification activities, change control, validation documentation, and equipment lifecycle compliance. The successful candidate will work closely with QC, Validation, Engineering, Quality Assurance, and external vendors to ensure laboratory equipment is qualified, documented, and maintained in accordance with site and regulatory requirements. 

Your Missions 

• Support qualification activities for QC laboratory equipment in accordance with GMP, validation lifecycle, and change control requirements. 

• Coordinate and execute equipment qualification activities including IQ, OQ, and PQ where applicable. 

• Support decommissioning activities for QC laboratory equipment following approved procedures and compliance requirements. 

• Assist in defining project plans, timelines, documentation needs, and coordination activities for qualification and decommissioning projects. 

• Prepare, review, and maintain qualification protocols, reports, SOPs, risk assessments, and training materials. 

• Support deviations, investigations, CAPA, and change control activities related to laboratory equipment and qualification processes. 

• Review qualification and validation documentation to ensure completeness, traceability, and compliance with GMP and site quality expectations. 

• Collaborate with QC, Validation, Engineering, Quality Assurance, and vendors to ensure timely execution of project activities. 

• Ensure proper documentation practices, data integrity, and compliance standards are followed for laboratory equipment systems. 

• Support equipment integration activities where applicable, such as LabX connectivity or related laboratory data systems. 

• Track action items, project milestones, risks, and implementation progress to support delivery within agreed timelines. 

Your Profile 

• Bachelor’s degree in Engineering, Life Sciences, Biotechnology, Pharmaceutical Sciences, Chemistry, or a related discipline. 

• 5–8 years of experience in qualification, validation, commissioning, or lifecycle management within GMP-regulated manufacturing or laboratory environments. 

• Hands-on exposure to QC laboratory equipment qualification and validation activities. 

• Good understanding of GMP documentation, validation lifecycle, change control, deviation, and CAPA processes. 

• Experience preparing or reviewing qualification protocols, reports, SOPs, risk assessments, or validation documentation. 

• Familiarity with analytical or laboratory equipment such as continuous flow analysers, nitrogen analysers, TOC systems, gas generators, analytical balances, microbalances, or similar laboratory instrumentation would be an advantage. 

• Exposure to laboratory system integration platforms such as LabX or related laboratory software systems is preferred. 

• Strong documentation, coordination, and stakeholder communication skills. 

• Detail-oriented, organized, and comfortable working within structured quality and compliance environments. 

• Able to manage multiple tasks and timelines within project-based environments. 

What We Offer 

• An international community bringing together 110+ different nationalities. 

• An environment where trust has a central place: 70% of our key leaders started their careers at the first level of responsibilities. 

• A robust training system with our internal Academy and 250+ available modules. 

• A vibrant workplace that frequently gathers for internal events, afterworks, and team buildings. 

• Strong commitments to CSR, notably through participation in our WeCare Together program. 

As an Advanced Packaging Characterization Engineer within Advanced Packaging Technology Development (APTD), your responsibilities include but are not limited to providing package development characterization and failure analysis support for development test vehicles, qualifications, customer returns, new product introduction, and general test failures. You are the domain expert on advanced packaging characterization methodology and is responsible for establishing relevant analysis methods needed to support technology development. You will also have a thorough understanding of the product package assembly and process flow, to work with Process Integration, Process Development, and Product Engineering groups ensuring failures are classified and root cause fixes implemented.

Responsibilities and Tasks

Conduct Electrical Characterization

• Understand PFA techniques available for de-processing failures

• Understand assembly and test process

• Perform electrical verification to confirm failures

• Establish best known method for de-processing package

Provide Data Analysis

• Understand backend test flows, qualification methodologies and be able to pull relevant information

Communicate with Internal/External Groups

• Document failure analysis techniques used to isolate failure for other groups

• Quick, responsive analysis and feedback of PFA results to Product, Process Integration, Reliability, Assembly, RMA, and QRA

• Ensure the PFA lab understands best method to obtain results and ensure lab is ready for analysis of new designs

Provide Technical Expertise

• Conduct TMO training and FA certification

• Serve as technical SME and mentor, contributing to the growth of technical capabilities within the team and fostering a culture of continuous learning.

• Participate actively in technical events such as conferences, workshops and forums to share knowledge and BKM across the network.

• Engage industry experts and vendors on cutting-edge FA tools and techniques required for Advanced Packaging development roadmap.

Maintain Equipment

• Coordinate calibrations (external to Micron)

• Procure parts as needed

• Coordinate host vendors to support equipment repair

Manage Laboratory

• Consistently upholds and promotes Micron’s safety standards, ensuring all activities are conducted in a safe and compliant manner.

• Manage laboratory to comply with TS, ISO14001 and OHSAS requirements.

• To manage the exhaust and scrubber systems of the FA Lab.

• To maintain records and procedures as per Micron GOPs

Education and Experience

• PhD, Master’s, or Bachelor’s degree in Materials Science, Chemical Engineering, Electrical/Electronics Engineering or related discipline. 

• 4+ years of experience in the semiconductor process, preferably in R&D or technology development or failure analysis field, with strong expertise in failure analysis methodologies and techniques.

• Hands-on proficiency with key analytical tools and methods, including: SEM, EDX, FIB, TEM, AFM, FTIR, XPS, X-ray, CSAM, Ion Milling, delayering, and decapsulation techniques.

• Strong communication skills with the ability to collaborate effectively across internal teams and external partners.

• A mindset that emphasizes customer focus, continuous improvement, and striving for excellence.

Job Responsibilities:

• Plan, execute, monitor, and control all technical aspects of projects.
• Lead or contribute to new system/network infrastructure setups or upgrades.
• Support operational systems in line with contractual Service Level Agreements (SLAs).
• Conduct routine preventive maintenance and manage operational activities efficiently.
• Prepare comprehensive project documentation and reports.
• Troubleshoot and resolve technical issues promptly.

Requirements:

• Strong knowledge of Windows Server OS and Linux OS; experience in virtualized environments is a plus.
• Hands-on experience with virtualization, hypervisors, and the Nutanix platform is an advantage.
• Understanding of VPNs and firewall appliances is beneficial.
• Familiarity with network switches and routers is preferred.