Process Engineer (AOI) is responsible for development and establishment of production process.

Responsibilities

• Review and accept machine buyoff, setup pilot line process and transfer from pilot line to production line.
• Establish, review and update specifications, workflow, quality and safety related documentation for production line.
• Troubleshoot process issue and improve process capabilities, yield and cycle time from customer NPI stage to LVM/HVM stage.
• Process sustaining and control through SPC and periodic defect Pareto Analysis.
• Lead and drive process control measures such as SPC, FDC/KPC and RCA towards zero defects.
• Lead and drive continuous improvement activities in area of quality, productivity, cycle time, cost and process control automation.
• Review and update FMEA, Control plan OCAP with cross-functional teams.
• Coordinate and liaise with vendor/suppliers on process issue or quality issue.
• Support customer NPI activities and internal engineering activities.
• New material, process & machine development and qualification.
• Handle and manage customer audits and 8D reports.
• - Provide disposition for engineering and production lots.
• - Conduct process characterization and qualification to establish process baseline.
• - Any other ad-hoc duties as assigned.

Requirement

• Minimum bachelor’s degree in Materials Science, Microelectronics, Chemical Engineering or relevant disciplines
• Minimum 3 years of experience working in Wafer-level Fanout packaging production line or LCD/FPD production line
• Knowledge in process engineering, process control engineering and yield enhancement
• Experience in SPC, DOE, FEMA, and 8D reports

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28Nano-electronic-Process-and-Devices%29/32359-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

A Research Engineer position is open under the supervision of Prof. Gong Xiao, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).   The Research Engineer will work closely with the Principal Investigator (PI) on one or more research projects.  The project aims to explore advanced semiconductor electronic devices for future advanced integrated circuits.

Qualifications

1.    Possess a Bachelor degree in Electrical Engineering with strong knowledge in semiconductor device technology and process. 
2.    Strong knowledge in semiconductor device physics. 
3.    At least 2 years in simulation, fabrication, and testing of semiconductor devices. 
4.    Proficient in simulation software, such as Sentaurus, Spice, matlab, etc.
5.    Possess relevant expertise proven through coursework and projects during his/her studies.
6.    Excellent academic track record from well-recognized universities. Excellent course work with strong academic performance. 
7.    Excellent communication skills as he/she is required to publish and to present results at conferences and journals independently. 
8.    Work well with team and be independent, and be able to balance well between advancing his/her own research and contributing to the larger team’s success. 
9.    Be committed to work effectively and strong desire to make a difference in pushing the frontiers of semiconductor technology.
10.  Open to Fixed Term Contract. 

Main Responsibilities

• Develop and optimize 300mm Silicon Photonics (SiPh) technology platforms, including pluggable modules, co-packaged optics (CPO), and photonic interposer solutions.

• Collaborate with internal R&D and module engineering teams to define and execute SiPh process flows.

• Align device and process requirements with customers through technical discussions and solution deep dives.

• Coordinate with external OSATs and partners for PIC/EIC characterization and packaging integration.

• Apply DOE, FMEA, and control plan methodologies to ensure robust development and effective risk mitigation across all phases.

We’re looking for someone with:

• A bachelor’s degree in Electronics, Electrical Engineering, Physics, Materials Engineering, or a related field.

• At least 3 years of hands-on experience in Silicon Photonics (SiPh) R&D, process integration, or related areas.

• A strong background in SiPh process development, photonic IC packaging, optical device design, or characterization.

• Familiarity with foundry environments, including integration or module-level responsibilities.

• Proficiency in DOE, FMEA, control planning, and data-driven problem-solving.

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

• A self-driven, curious mindset with a passion for innovation and continuous improvement.

Position: Engineering Intern (ELV / Security Systems)
Company: Jupiter Protection Pte Ltd
Location: Singapore
Duration: 6 Months Internship (Full-Time)
Allowance: SGD 800 – 1,000/month (depending on qualification)

Kickstart Your Engineering Career in Real Projects

Jupiter Protection Pte Ltd is offering an exciting opportunity for University and Polytechnic students to gain hands-on experience in ELV and security systems engineering, working on real-world projects including data centres, commercial buildings, and critical infrastructure.

What You Will Learn

• Exposure to CCTV Surveillance Systems
• Hands-on experience with Access Control Systems (ACS)
• Understanding of Public Address (PA) Systems
• Introduction to Fire Protection Systems
• Reading engineering drawings and technical specifications
• Site coordination and project execution processes
• Testing & commissioning practices

Your Responsibilities

• Assist Project Engineers in daily site operations
• Support installation, testing, and commissioning activities
• Help prepare documentation, reports, and drawings
• Coordinate with subcontractors and suppliers
• Participate in site inspections and progress tracking

Who We Are Looking For

• Currently pursuing Diploma or Degree in Electrical & Electronic Engineering or related field
• Strong interest in ELV, security systems, and infrastructure projects
• Willing to learn, proactive, and able to work on-site
• Good communication and teamwork skills
• Preferably Singapore Citizen or permanent resident

What You Will Gain

• Real project exposure (not just office work)
• Mentorship from experienced engineers
• Practical skills highly valued in the industry
• Opportunity for full-time conversion upon graduation

Why Join Us

At Jupiter Protection, interns are treated as part of the engineering team — you will be involved in actual projects and gain meaningful experience that sets you apart in the job market.

Start your journey in the fast-growing field of security and infrastructure engineering.

“Interns with strong performance may be offered a full-time Project Engineer position upon graduation”

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28AIDF%29/32374-en_GB/

We regret that only shortlisted candidates will be notified.

Background

The Asian Institute of Digital Finance (AIDF) is a university-level institute in NUS, jointly founded by the Monetary Authority of Singapore (MAS), the National Research Foundation (NRF) and NUS. AIDF aspires to be a thought leader, a Fintech knowledge hub, and an experimental site for developing digital financial technologies as well as for nurturing current and future Fintech researchers and practitioners in Asia.

At AIDF, we are actively building next-generation AI systems for financial intelligence, including an LLM-driven application platform that integrates alternative data, structured financial data, and advanced retrieval systems. We are now transitioning from prototype to production and are looking for candidates who can bridge data engineering and AI research, particularly in LLM-based information retrieval systems.

We are seeking a Research Assistant / Research Engineer who combines strong data engineering capabilities with an interest in applied AI research, especially in LLM-powered retrieval systems (e.g., RAG, Graph RAG, Knowledge Graph integration).

This role is ideal for candidates who want to:

• Build scalable data infrastructure, and
• Explore cutting-edge retrieval and knowledge representation techniques in real-world applications

Responsibilities

1. Data Engineering & Infrastructure

• Design, develop, and maintain scalable data pipelines and ETL workflows
• Build backend systems to support data ingestion, processing, and serving
• Manage and optimize relational and non-relational databases (e.g., MySQL, MongoDB)
• Ensure data quality, consistency, and reliability across systems

2. LLM & Retrieval System Development

• Develop and optimize retrieval-augmented generation (RAG) pipelines
• Explore advanced retrieval paradigms such as:Graph RAGKnowledge Graph-enhanced retrievalHybrid search over structured + unstructured data
• Work with alternative data sources (e.g., text, news, reports) to improve model performance

3. Applied Research & Prototyping

• Track and experiment with latest research in LLMs, IR, and knowledge systems
• Prototype and evaluate new methods for:Information retrievalKnowledge representationFinancial intelligence extraction
• Translate research ideas into production-ready system components

4. System Integration & Collaboration

• Collaborate with AI engineers, data scientists, and frontend developers
• Integrate backend systems with LLM services and user-facing applications
• Contribute to system architecture design for AI-native products

5. Documentation & Best Practices

• Maintain clear documentation of:Data pipelinesSystem architectureDatabase schemas
• Implement best practices in data governance, security, and reproducibility

Minimum Requirements

• Background in Computer Science, Engineering, or related fields
• Proficiency in at least one programming language (e.g., Python, Java, Go)
• Solid understanding of data structures, algorithms, and system design
• Experience with backend development frameworks (e.g., FastAPI, Django, Spring Boot)
• Familiarity with RESTful API design and implementation
• Experience with databases: Relational: MySQL / PostgreSQL
• Non-relational: MongoDB / Redis / Elasticsearch
• Familiarity with Git and collaborative development workflows
• Strong problem-solving skills and ability to debug complex systems

Preferred / Bonus Qualifications

• Experience in data engineering and ETL systems in production environments
• Familiarity with LLM applications, especially: RAG pipelines
• Vector databases (e.g., FAISS, Milvus, Pinecone)
• Exposure to Knowledge Graph construction or usage
• Experience with search / retrieval systems (e.g., BM25, hybrid search)
• Familiarity with cloud platforms (AWS / Azure / GCP), especially data services
• Experience with tools such as Apache Airflow / NiFi / Spark
• Interest in applied AI research and ability to read/implement recent papers
• Strong communication and documentation skills

What We Offer

• Opportunity to work on cutting-edge AI systems in finance
• Exposure to real-world large-scale financial datasets
• A unique role combining research + engineering + productization
• Collaboration with researchers and engineers at NUS AIDF-CRI
• Potential to contribute to publications and production AI systems

We are looking for a skilled OSAT & AdvancedPackaging Engineer to drive Advanced packaging with external OSAT partners.This role will focus on advanced packaging technologies, ensuring high-quality,cost-effective, and timely product delivery while collaborating withcross-functional team.

Job Responsibilities:

• Work on 2.5D/3D packaging platform technologies.
• Develop bump, underfill, molding and RDL processes.
• Collaborate with internal R&D and OSAT partners to driveHeterogeneous Integration.
• New advanced packaging process verification and qualification.
• Customer engagement and new product verification

Capability

• Knowledge of bumping, molding, dicing, bonding, RDL (RedistributionLayer), and interconnect technologies are plus.
• Experienced in 2.5D and 3DIC process development are plus.
• Skill on FMEA, control plan, DOE (design of experiment) and problemsolving.
• Good communication, self-motived and avid learner

Qualification

• Atleast bachelor degree in electronics/electrical/physics/Materials engineeringor other relevant fields.
• At least 2 years working experience inOSAT R&D/Packaging/Process engineer or other relevant fields.
• ProficientEnglish oral and writing skill.

Responsibilities

• Responsible for Electrical Engineering services for the projects from concept stage, design development, contract documentation, authority submissions, site administration to project completion
• Act as mentor to new employees and provide technical assistance
• Advise engineers on the project administration and contractual issues
• Conduct technical discussion on common design problems
• Assist in maintaining high quality standards of design and construction
• To promote esprit de corps amongst employees
• Responsible to participate and support the Company’s SHEQ within their scope of duties

Requirements

• Recognised Degree in Electrical Engineering
• Minimum 5 years of relevant experience in industry

Fujitsu is seeking a dedicated and experienced Network Engineer to join our onsite network team. You will be an integral part of a team responsible for managing our customer Enterprise Networking Environment, which supports a large campus with diverse network equipment and services. You will work closely with the customer network team, vendors, and the Helpdesk team to ensure seamless network operations.

Responsibilities:

• Manage, administer, configure, and provide technical support for network equipment (switches, wireless APs, firewalls, DNS appliances, UPS) and services, including VLANs, ACLs, firewall rules, DNS, and IP address management.
• Install, maintain, and upgrade network hardware firmware/software; apply patches, hotfixes, and manage vulnerability remediation.
• Take ownership of network problems, troubleshoot and resolve issues related to hardware, software, and firmware, performing on-site support as needed.
• Conduct daily system checks, monitor network services availability, and contribute to network health checks by analyzing alerts, statistics, and performance data.
• Manage and document all network device configurations, changes, and ensure weekly automated backups.
• Record network service outages and follow up on outstanding technical issues with vendors to ensure resolution within Service Level Agreement (SLA).
• Liaise effectively with ISPs, other service providers, and internal teams on operational matters.
• Assist and work with vendors with cabling management, including patching, documentation, 1st level troubleshooting of connections, and ensuring correct configuration/labeling of new outlets.
• Provide support for wireless configuration and surveys.
• Maintain comprehensive network documentation (diagrams, topologies, issues) and assist in proactive monitoring and monthly reporting for network resources.
• Conduct annual asset verification, track equipment movements (deployment, RMA, relocation, decommissioning), and update inventory records.
• Participate in network implementation and migration projects as required.
• Assist in supporting operational requirements such as power maintenance shutdowns, periodic system audits, and service validation.
• Adhere strictly to policies, rules, regulations, and IT security policies in all operational aspects.
  

Requirements:

• Bachelor’s degree in Computer Science, Engineering, or a related field
• 3+ years’ experience as a Network Engineer supporting large campus network
• Strong analytical and problem-solving skills
• Self-motivated with a strong sense of ownership
• Possesses a valid CCNA certification
• Certification in PCNSA/PCNSP is a plus

Key Responsibilities:

• Manage the day-to-day operations of Government Cloud (GCC) Microsoft Azure infrastructure, ensuring stability, performance, and security.
• Lead the implementation of Azure cloud projects from planning and design through deployment and documentation.
• Work collaboratively with application, infrastructure, and network teams to support deployments, troubleshoot issues, and align on architectural decisions.
• Design, configure, and manage Azure Virtual Networks and Subnets, enabling secure and scalable cloud environments.
• Configure and maintain Network Security Groups (NSG) to enforce traffic control policies.
• Deploy, configure, and support Azure Load Balancers (LB) for high availability and optimal performance.
• Implement and manage Web Application Firewall (WAF) policies to protect web applications from threats and vulnerabilities.
• Configure and administer Azure DNS for name resolution and service discovery.
• Set up and maintain route tables and virtual network peerings to support hybrid, multi-region, and cross-subscription architectures.
• Integrate and manage syslog solutions and maintain the Azure Log Analytics Workspace for effective monitoring, diagnostics, and auditing.
• Oversee the procurement, management, and renewal of SSL certificates related to WAF and firewall infrastructure.
• Automate infrastructure provisioning and configuration using Terraform, adhering to Infrastructure-as-Code (IaC) standards.
• Ensure adherence to security best practices, compliance standards, and organizational policies.
• Participate in incident response and root cause analysis related to Azure infrastructure.
• Continuously assess the environment for performance improvements, cost optimizations, and new service adoption opportunities.
• Develop performance and operational reports.

Required Qualifications:

• Certified in Microsoft Azure Administrator Associate (AZ-104) is mandatory.
• Certified in Cisco Certified Networking Associate (CCNA) will be a plus.
• Bachelors Degree or Diploma in Information Technology, Computing or equivalent
• 2–3 years of experience working with Azure infrastructure in GCC 1.0 and 2.0 environment.
• Proven hands-on experience with Terraform for Azure automation.
• Strong knowledge of Azure networking, security, and monitoring tools.
• Familiarity with logging analysis and monitoring via Azure Monitor and Log Analytics.
• Good understanding of ITIL processes, including Incident, Problem, Change, and Configuration Management.

Job Description & Requirements:

 Review of civil & Structural working drawings and shop drawings in connection with SEM and steel structure shop drawings during pre-construction phase to prepare construction methods, identifying risks to promote strategies and alternative methodologies to mitigate.

 Organizing regular meetings with the sub-contractor's technical teams to resolve technical problems in pre-construction and construction phase.

 Working closely with Design team and LTA/QPS (client) to resolve execution issues with appropriate functional proposals with an aid of presentation or sketches.

 Preparing method statement for construction working including RA and SWP.

 Prepare of RFI for site inspection for construction, MPI test, welding works and post concrete works and also involving in site inspection with QP.

 Reviewing of rebar BBS prepared by sub-con in compliance with standards and shop drawings roof slabs, steel structures and corbel details for precast installation.

 Site Supervision of construction of structures such as pile cap, undergrounds tanks, base slab, column (~12m high) including corbel, RC beams, Capping beam, RC and PC beam connections, ramps, steel and RC struts, hanging sumps and staircases.

 Reviewing and site supervision of surface water drain and waterproofing shop drawings and site work.

 Assisting construction manager for planning and preparing daily progress reports

 Tracking and optimizing manpower for each works

 Preparation of conceptual drawings for steel decking or other temporary structures required on site and reviewing shop drawing submitted by sub-con and supervising site installation.

 Reviewing concept drawings and supervising installation of bracing connections between permanent plunge-in-columns for top down column construction.

 Reviewing sub-con's shop drawing for steel strut and supervision of installation work.

Job Description
To ensure worforce compliance with WSH regulation, Compancy/Client procedures at site
Conduct daily tool box meeting, safety checks and review Job hazard analysis
Safety observation reports
Fatigue Management
Participate in company internal safety audits
Responsible for upkeep of documentation on project matters
Flexible to support project sites at various location in Singapore

Requirements
Minimum 2 years working experience in Process/Construction Sector
Advance Certificate in Workplace Safety and Health
Working at Height Supervisor certificate
Certified First Aider
Managing Working at Height certificate will be advantage
Lifting Supervisor certificate will be an advantage
Possess minimum class 3 license will be an advantage

About Us:

VisionPower Semiconductor Manufacturing Company Pte Ltd (VSMC) is a joint-venture 300mm semiconductor wafer manufacturing fab to be built in Singapore. We are looking for committed, resilient and passionate talents to launch a promising future that power the next generation devices and systems. If you share the same passion to pursue excellence, join us to make an impact and be part of something special!

Role Summary

You are responsible to develop and execute test systems, test analysis, process improvement, program development, and hardware debugging.

Key Responsibilities

• Test Program Development: Creating and maintaining parametric test programs for semiconductor devices quality check on semi-auto testing platform.
• Test Execution: Running tests on devices to verify characteristic performance and reliability. Analyzing test results to identify test issues, troubleshooting and optimize test processes.
• Testing Process Improvement: Recommending and implementing improvements to test processes to enhance efficiency, accuracy, stability, and repeatability.
• Hardware Debugging: debugging or troubleshoot to hardware like specific instruments and probe cards.

Education Qualification & Essential

• Degree in Electrical and Electronics Engineering / Material Sciences or Physics science.
• Interesting or Min 2 years of relevant work experience in Fab for testing expertise, WAT, automated test equipment (ATE), test program development, and test hardware design would be a plus.

Experiences Key Skills and Attributes

• An excellent team player with strong interpersonal skills, attention to detail, and self-motivated.
• Highly committed with good ownership and accountability
• Able to adapt in a fast pace environment and work under pressure
• Proficient in MS Office Applications

VSMC promotes diversity and inclusivity in our workforce; and hiring will be conducted in phases

Job Responsibilities:

• Lead, manage, and train a team of Wafer Fab Operators and Technician to ensure smooth day-to-day operations to achieve daily production output target, On Schedule Delivery and Key Performance Indices.
• Optimize WIP management to maximize throughput and linearity.
• Allocate and deploy manpower effectively for optimum productivity.
• Plan out manpower training to increase shift deployment flexibility.
• Regularly engage specialists to gather feedback on performance, understand challenges faced, and identify potential areas for improvement.
• Present daily production indices in module meetings and highlight key priorities for the Engineering team to focus.
• Address and resolve line-related, preventive maintenance issues, understand equipment capacity and constraint challenges, identify and implement temporary solutions, and collaborate with the Engineering team to resolve.
• Ensure all personnel comply with Safety, Discipline and 5S Housekeeping Standard in the work area.
• Ensure accurate documentation and maintain Data-Integrity.
• Collaborate with Support group such as IE and Engineering to ensure that accurate and up-to-date assumptions, constrains, and Unit Per Hour (UPH) are incorporated into the tool’s capacity modeling.
• Lean initiatives to drive Quality and Productivity improvement projects.
• Lead and contribute to cross-module and cross-fab improvement projects.

Job Requirements:

• Bachelor's degree in engineering preferably in Electrical/ Manufacturing
• Minimum 1 to 3 years of Prior relevant working experiences in manufacturing / semiconductor industry
• Experienced in various stakeholder management and project management
• Excellent communication and interpersonal skills

This role is required to design and build high volume backend data processing systems for Razer’s Artificial Intelligence (AI) gaming products. The ideal candidate is responsible for developing and implementing data pipelines, data storage systems, and backend application software, while working closely with frontend engineers, data scientists, and machine learning engineers to enable Gen AI capabilities.

Essential Duties and Responsibilities

• Design and implement data systems that enable the organization to store, process, and analyze large volumes of data. This involves developing data pipelines, designing scalable data processing systems in support of Gen AI capabilities.
• Manage data lakes, knowledge bases, and application databases. This involves creating and managing table schemas, views, materialized views, including tokenization techniques for Gen AI.
• Develop and templatize data pipelines that enable high volume extract, transform, and load operations from various sources – particularly API-based or web-based data ingestion.
• Design, develop, and maintain highly performant, scalable, and robust backend systems and server-side logic - including maintenance and optimization of backend infrastructure for changing product requirements.
• Collaborate with data scientists and machine learning engineers to understand the data needs of various stakeholders across the organization and integrate appropriate solutions.

Requirements

• Ability to work in fast paced, high pressure, agile environment.
• Ability and willingness to learn and apply new technologies
• Strong in programming languages such as Python, SQL.
• Experience in developing and deploying applications running on cloud infrastructure such as AWS, Azure or Google Cloud Platform using Infrastructure as code tools such as Terraform, containerization tools like Dockers, container orchestration platforms like Kubernetes
• Experience in system design and building scalable, high concurrency user applications
• Familiarity with a wide variety and genres of video games, and the gaming industry in general.
• Excellent with various data processing techniques (streaming, batch, event-based), managing and optimizing data storage (Data Lake, Vector Data Stores and Database, SQL, and NoSQL) is essential.
• Excellent problem-solving and analytical skills, with an understanding of Gen AI technologies and their applications
• Experience using orchestration tools like Airflow or Prefect is preferred
• Excellent written and verbal communication skills for coordinating across teams.
• Experience and Interest to keep up with the advancement in the Data Engineering Field
• Has a Bachelor's or Master’s degree in computer science or similar discipline.