Total 16 system analyst job vacancies in Engineering category in D19 Serangoon Garden, Hougang, Sengkang, Punggol

About Bruker:

Bruker is enabling scientists to make breakthrough discoveries and develop new applications that improve the quality of human life. Bruker’s high performance scientific instruments and high value analytical and diagnostic solutions enable scientists to explore life and materials at molecular, cellular, and microscopic levels. In close cooperation with our customers, Bruker is enabling innovation, improved productivity, and customer success in life science molecular and cell biology research, in applied and pharma applications, in microscopy and nanoanalysis, as well as in industrial applications. Today, worldwide more than 8500 employees are working on this permanent challenge at over 90 locations.

Today, worldwide more than 9700 employees are working on this permanent challenge at over 90 locations on all continents. Bruker continues to build upon its extensive range of products and solutions, its broad base of installed systems and a strong reputation among its customers. Being one of the world's leading analytical instrumentation companies, Bruker is strongly committed to further fully meet its customers’ needs as well as to continue to develop state-of-the-art technologies and innovative solutions for today's analytical questions.

Bruker - Innovation with Integrity.

Please visit www.bruker.com.

Bruker Singapore is seeking for a Field Service Engineer within the service organization. He/She is an ambassador of Bruker Nano Surfaces Metrology (BNSM) instrumentation and technology. Bruker Nano Surfaces Metrology manufactures the world's leading Atomic Forces Microscopes, Stylus profilers, Mechanical Testers, X-Ray Diffractometer and non-contact 3D optical microscope instrumentation. This technical role responsible for customer direct post-sale instrumentation and application support including: installation, user and application training, instrument diagnostics/fix, and post-sale applications support. Individual must be customer focused with a strong technical background enabling our customers to maintain their instrument at peak performance and maximize productivity for their intended use case.

SUMMARY OF RESPONSIBILITIES:

• Performs site surveys, pre-installation, installation of Bruker Semiconductor Metrology Tools (AAFM(NanoMet), AFMi, TSOM & X-ray) for customers both domestic and international
• Provide high level technical support to external customers at their location
• Provide on-­site training to the customers
• Interface with cross functional work teams such as field applications, customer support/services, product management, manufacturing and marketing/sales
• Develop Service technical documentation
• Create, develop, and continuously improve the customer support & applications knowledge database
• Timely and professionally handle field service calls and issues arising from the field service
• Performs basic applications support of Bruker Semiconductor Metrology Tools for customers both domestic and international
• Visits, triage with field applications scientists as appropriate
• Timely complete and submit all required paperwork
• Flexible schedule to accommodate our customer’s needs
• Effectively handle multiple priorities, organize workload, and meet deadlines
• Communicate with the customer to ensure satisfaction and implement any necessary corrective actions
• Up to 30% traveling required within Southeast Asia (at times with short notice)
• Misc. other duties commensurate with the capabilities of a Field Service Engineer

ESSENTIAL FUNCTIONS:

• 90% Technical support (Diagnostics/troubleshooting/on-site/phone/e-mail/web-ex/SAP RMAs, etc.)
• 10% Knowledge database development, delivery of training, basic application support and Escalation support (technical analysis, cross-functional engagement, plan of action, on-site support, etc…)

ADDITIONAL RESPONSIBILITIES:

• Pre-sales support
• Other duties as assigned

EDUCATIONAL/EXPERIENCE REQUIREMENTS:

• Bachelor’s degree or equivalent technical qualifications in electrical/ mechanical engineering or physical sciences. Masters or higher-level education is preferred. Metrology experience within Semiconductor Market an advantage.
• Working knowledge of MS Office, Excel. Working knowledge and ability to test and troubleshoot mechanical, electrical analog and factory Automation
• Up to 5 years of relevant Semiconductor industry experience, preferably metrology products and with hands on instrument experiences.
• AAFM, AFM and X-ray service experience or background in Technical Support preferred.

Interested candidates, please apply via Bruker's career portal directly : https://bit.ly/48OlAj5

Engineer - Analog / RF Design [Radio System Solutions]

Job Description:

• Design of RF/Analog/Mixed-signal IC circuit blocks / IPs based on specifications (performance, area, power consumption).
• Realize IC layout with floor planning and performance considerations (with layout engineers).
• Testing & Debugging of IC prototypes (with system verification engineers).
• Support of IC to mass production ready.
• Continual support / debug of field related issues or customer IC rejects.
• IC design and performance documentation.

Requirement

• Bachelor's Degree / Master’s Degree in EEE (major in IC Design).
• Knowledge of RF/analog designs through final year project and internship are an added advantage.
• Training will be provided.

Important Note: This advertisement is not for immediate hiring but is intended to identify suitable candidates for future openings in this position.

About the team

Radio System Solutions Division develops standalone RF-IC or IPs for wireless communication products within MediaTek. This involves designing and verification of building blocks such as low-noise amplifiers, power amplifiers, filters, data-converters, phase-locked loops, low-dropout regulators and digital calibration circuits in advanced semiconductor processes. We are looking for a passionate talent who always up for challenges to join us for this exciting career journey!

In MediaTek, we believe technology changes lives and a changed life can change the world.

Joint us - Tomorrow built by you.

As a Senior Package Design Engineering (PDE) Central Engineering System and Analytics (CESA) Engineer, you will develop integrated solutions to empower Backend Operations to make data-driven and heuristics-based decisions. You will work across Global Operations and sites to improve Cost, Scale, Quality, and Cycle Time by defining and designing data architecture and collaborating with key partners.

Responsibilities

• Yield Enhancement (YE) lots analysisLead YE lot analysis including reconstructing fuse identififaction (FID) for traceability, statistic comparison for different group
  
• Yield modelling / pareto benchmarkingIdentify actionable opportunities from YE lots
  Develop and improve Yield Models for HBM
  Periodically improve models based on actual performance
  
• Best Known Methods (BKM) DeploymentDevelop BKM’s for YE and drive implementation
  Identify/align BKMs and monitor implementation
  Works with different teams in the identification of critical metrics

Requirements:

• PhD/Masters/Bachelors in Statistics, Mathematics, or a related field; advanced degree preferred.
• Minimum of 3 years of experience in semiconductor manufacturing or related fields
• Preferably with experienced in Package Design Engineering and Yield Enhancement
• Strong understanding and knowledge of semiconductor manufacturing processes and technologies.
• Proficiency in statistical/machine learning and statistical techniques skills will be additional advantageous;
• Experience in MRDA will be a plus
• Proven ability to make decisions, multi-task, and solve problems and address root causes.
• Exhibit critical thinking to see opportunities.
• Effective communication skills in verbal/written.
• Self-motivated. Able to work independently with minimal supervision.
• Able to travel as required to support department and company objectives.

Job Summary:

The HPC Storage Engineer will be responsible for managing the storage infrastructure within HPC environments. This role involves monitoring storage performance and optimizing through tuning and troubleshooting. Successful candidate with demonstrated experience in the HPC storage field may be considered for a Senior position.

Responsibilities:

Storage administration and optimization

• Work with Managed Services teams in managing and administering the storage infrastructure.
• Ensure storage reliability and availability within HPC system.
• Provide support on technical queries and troubleshooting storage-related issues.
• Implement best practices for storage monitoring and reporting.
• Monitor utilization rate, allocation and analyse the report for capacity planning.
• Conduct storage performance test and analysis.
• Collaborate with other teams for enhancement of storage performance and scalability.
• Develop and maintain comprehensive documentation for HPC storage infrastructure and processes.

Data management

• Create and execute a data placement strategy to optimize storage performance.
• Maintain data protection and disaster recovery strategies.
• Implement and maintain security measures to protect data integrity and prevent unauthorized access.

Designing and planning

• Assess future requirements and plan for storage expansion.
• Assist in the designing of future HPC system acquisition.
• Explore and evaluate emerging solutions in HPC storage technology.

Qualifications:

• Degree in a Computer Science, Engineering, IT or other relevant areas.
• At least 3 years of experience in managing storage infrastructure.
• Proficient in UNIX/Linux environments and command line interface (CLI).
• Good knowledge of HPC storage principles.
• Experience in managing parallel file system (Lustre, GPFS, BeeGFS).
• Good knowledge of RDMA-based interconnect (InfiniBand, RoCE).
• Demonstrate ability to analyse complex issues and develop effective solutions.
• To be considered for Senior position, candidates should have at least 5 years of experience in roles that involve the deployment of HPC storage infrastructure, covering key areas such as designing, installing, configuring, documentation and providing admin/user training.

(1) Overview and purpose of the position*

1) Responsible in overseeing the performance of outsourced maintenance service providers in mechanical services and systems for the hospital and ensure functionality as well as serviceable at all times.

2)To audit and monitor service standards rendered by specialist vendor and outsourced maintenance service provider.

3)To provide support to Head of Department and Building Managers in capital nature replacements, systems and building improvement projects.

4)To coordinate and support hospital’s A&A and minor works.

(2) Accountabilities*

(2) Related Performance Indicators

1) Strong culture of staff and leadership accountability

• Work closely with FM Institution Lead and Mechanical Lead, in building clear scope, expectations and deliverables for the Mechanical team as well as planning for specialty training and develop the capabilities of Mechanical Team members.
• As a Subject matter expert to assist the Mechanical Lead in ensuring team members understands their scope.
• Work closely with team members, service provider and specialist vendors on system breakdown investigations, inspections, audits, review of maintenance program, etc.
• To lead / provide support in the investigation of incident/system failure to determine root cause of failure as needed.
• To participate and support in audits that the hospital subscribes to.

2) Contract management, evaluation, negotiation, and execution

• Manage Mechanical systems contracts to ensure timely renewals and contract requirements are fulfilled.
• Ensure timely renewal of authority licencing.
• Ensure processes are in accordance and compliance with Audit Compliance, NUHS Contract Management, Procurement and Finance Policies and Process.

3) Manage Managing Agent, vendors and liaison with authorities as well as communication to stakeholders

• To respond and support the maintenance agent and vendors in mitigating and recovery of critical system failure or incident.
• Work closely with Admin on compilation of contract documents, such as agreement, checklist, warranties, etc.
• Monitor vendors’ performance, deliverables and Key Performance Indicators (KPIs) are as per contract awarded.
• Perform invoice verification against works completed for timely processing of invoices.
• To ensure repair to reported system fault and breakdown are carried out in a timely manner.
• To carry out monthly analysis to Mechanical systems breakdown and recommend improvement plan as needed.
• Filing and documentation recording of all authorities’ correspondences.
• Conduct internal audits to check on non-compliances, identify gaps and follow-ups till closure.
• Represent Mechanical Team as the liaison party on authority matters.

4) Developing and implementing procedures, policies and checklists

• Review and update Standard Operating Procedures (SOP) and working instructions on a regular basis.
• Develop and harmonise trade related SOPs, Preventive Maintenance Checklists and working instructions with the cluster institutions for alignment to prevailing Singapore Standards / Code of Practices and/or industry best practices for benchmarking.

5) Asset Management

• Plan and oversee Mechanical system upgrades/improvements or replacements before their expiration or its end of life.

6) Projects

• Project Manager or render support to Project Managers for improvement works to existing hospital facilities such as renovation and retrofitting, replacement of system infrastructure and improvement initiatives to existing specialized systems and hospital facilities.
• Prepare Approval To Purchase (ATP) and Approval To Award (ATA) papers for Preventive Maintenance Contracts and projects.

7) Knowledge management

• Maintain good documentation (e.g records of all contracts, reports, agreements, check lists) with FM Admin team to ensure full compliance.

Required Competencies and Capabilities (Skills, Experiences and Professional Licences)

• Minimum three (3) years of relevant experience in management of mechanical systems operations. (Note: Minimum 8 years for Diploma Holders)
• Experience in Fire Safety/ Alarm System, Medical Gas/ Vacuum System, Lift and Escalator System, Pneumatic Tube System, Mechanical Automation system is advantageous.
• Health care experience is advantageous.
• Good interpersonal skills and customer service oriented.
• Positive work attitude, ability to work with all levels of staffs and strong team player.

Brief Description:

• To provide in a safe and ethical manner, the technical expertise and non-routine problem-solving capabilities needed to support the analytical and testing requirements of the RON, MON and CETANE engine.

Responsibilities:

• To operate the three engines according to standard procedures following fit-for-use conditions.
• To carry out daily checks on engine conditions, water coolant with K2Cr2O7 added, lube-oil level and refrigerator unit water temperature.
• To ensure TSF close to the sample results are checked for each run and recorded.
• To ensure thermometers, burettes are calibrated (with QA assistance) at regular intervals and records kept.
• To carries out top overhaul when due and record activities when spare parts change and running hours.
• To record parts changed and nature of problem after each repair by AmSpec staff or by vendor.
• To check and maintain optimum spare parts for the engines, reference fuels, TEL and gases.
• To carry out safety checks daily and routinely to ensure waste fuel and tested samples in the room are minimal, and pressure gauges are not leaking, the fire extinguisher is functional and has sufficient gas pressure at all times.
• Perform all other duties and responsibilities as assigned.

Requirements:

• Diploma / Degree in Chemical / Mechanical Engineering / Chemistry / Applied Science.
• At least 2-3 years’ experience working in a chemical, petroleum, and petrochemical laboratory.
• Ability to understand ASTM standards and procedures.
• Protocol, procedure, and safety oriented.
• Ability to perform analytical tasks.
• Ability to work effectively under pressure, while directing numerous projects concurrently with different deadlines.
• High tolerance for job pressure.
• Able to work on flexible schedule as position will include evenings, weekend, and holidays, based on customers’ requirements.
• Ability to verify and check results during and after office hours.
• Position requires a dependable and reliable individual whose daily presence adds to the success of the department.
• Able to work independently and a good team player.
• Ability to work and communicate with persons of diverse personalities and backgrounds.

Qualified or interested candidates, please submit your updated resume in MS format to [email protected]

We regret to inform you that only shortlisted candidates will be notified.

Please include the following in your resume (if any): -

• Last drawn / current and expected salary.
• Reason(s) for leaving previous / current company.
• Education background.
• Work experience in point forms.

Responsibilities:

• Pro-actively monitor, analyse, troubleshoot and resolve storage-related issues to ensure uninterrupted operation.
• Coordinate with other NSCC technical personnel to optimize storage performance and scalability.
• Periodically monitor and conduct storage performance test and analisys, utilization rate and capacity planning.
• Maintain data protection and disaster recovery strategies.
• Exploring new solution and best practices in HPC storage technologies.
• Assist in designing the next phase of NSCC’s infrastructure.

Qualifications:

• Degree in a Computational Science, Engineering, or a related field.
• Knowledgeable about parallel file systems and data management concepts.
• Experience with HPC parallel storage solutions such as Lustre, GPFS, or similar.
• Competency in a UNIX/Linux command line environment highly desirable.
• Minimum of 3 years in handling HPC storage related environments.

Responsibilities:

• Pro-actively monitor, analyse, troubleshoot and resolve storage-related issues to ensure uninterrupted operation.
• Coordinate with other NSCC technical personnel to optimize storage performance and scalability.
• Periodically monitor and conduct storage performance test and analisys, utilization rate and capacity planning.
• Maintain data protection and disaster recovery strategies.
• Exploring new solution and best practices in HPC storage technologies.
• Assist in designing the next phase of NSCC’s infrastructure.

Qualifications:

• Degree in a Computational Science, Engineering, or a related field.
• Knowledgeable about parallel file systems and data management concepts.
• Experience with HPC parallel storage solutions such as Lustre, GPFS, or similar.
• Competency in a UNIX/Linux command line environment highly desirable.
• Minimum of 3 years in handling HPC storage related environments.

Responsibilities:

• Pro-actively monitor, analyse, troubleshoot and resolve storage-related issues to ensure uninterrupted operation.
• Coordinate with other NSCC technical personnel to optimize storage performance and scalability.
• Periodically monitor and conduct storage performance test and analisys, utilization rate and capacity planning.
• Maintain data protection and disaster recovery strategies.
• Exploring new solution and best practices in HPC storage technologies.
• Assist in designing the next phase of NSCC’s infrastructure.

Qualifications:

• Degree in a Computational Science, Engineering, or a related field.
• Knowledgeable about parallel file systems and data management concepts.
• Experience with HPC parallel storage solutions such as Lustre, GPFS, or similar.
• Competency in a UNIX/Linux command line environment highly desirable.
• Minimum of 3 years in handling HPC storage related environments.

Responsibilities:

• Pro-actively monitor, analyse, troubleshoot and resolve storage-related issues to ensure uninterrupted operation.
• Coordinate with other NSCC technical personnel to optimize storage performance and scalability.
• Periodically monitor and conduct storage performance test and analisys, utilization rate and capacity planning.
• Maintain data protection and disaster recovery strategies.
• Exploring new solution and best practices in HPC storage technologies.
• Assist in designing the next phase of NSCC’s infrastructure.

Qualifications:

• Degree in a Computational Science, Engineering, or a related field.
• Knowledgeable about parallel file systems and data management concepts.
• Experience with HPC parallel storage solutions such as Lustre, GPFS, or similar.
• Competency in a UNIX/Linux command line environment highly desirable.
• Minimum of 10 years in handling HPC storage related environments.

Overview

We are seeking a talented and motivated AI Math/System Acceleration and Validation Engineer to join our team. In this role, you will be part of the AI & Cloud Engineering (ACE) Division and Hybrid Compiler team.

The team has been developing a comprehensive AI Compiler strategy that delivers a highly flexible platform to explore new DL/ML model architectures, combined with auto-tuned high performance for production environments across a wide range of hardware architectures. The compiler framework, ML graph optimizations and kernel authoring specific to the hardware impacts performance, developer efficiency & deployment velocity of both AI training and inference platforms.

You will be developing AI compiler frameworks to accelerate machine learning workloads on the next generation of AI hardware. You will work closely with AI researchers to analyze deep learning models and how to lower them efficiently on AI platforms. You will also partner with hardware design teams to develop compiler optimizations for high performance. You will apply software development best practices to design features, optimization, and performance tuning techniques. You will gain valuable experience in developing machine learning compiler frameworks and will help in driving next generation hardware software co-design for AI domain specific problems.

Our division’s mission is to use the latest AI and cloud technologies to develop the best AI inference for advanced driver safety engineers building self-driving vehicles and other high performance compute products. Renesas is the leading automotive electronics supplier globally, and this is a rare opportunity to develop the infrastructure required to deploy our AI software to the billions of devices we ship to customers every year. You will join our newly formed AI & Cloud Engineering organization of around 100 software engineers. Due to strong demand for our AI-related products we are planning to triple in size in the next three years, so there is lots of room for you to help us grow the team together while remaining small.

Our team’s key locations are Tokyo, London, Paris, Dusseldorf, Beijing, Singapore, Ho Chi Minh City, and other metropolitan areas, but you can also join fully remotely from other locations globally or get our support to relocate to our key hubs such as Tokyo.

Responsibilities

• Development of AI compiler framework, high performance kernel authoring and acceleration onto next generation of hardware architectures.
• Contribute to the development of the industry-leading machine learning framework core compilers to support new state of the art inference and training machine learning/AI accelerators and optimize their performance.
• Collaborating with AI research scientists to accelerate the next generation of deep learning models such as recommendation systems, computer vision, or natural language processing.
• Develop core mathematical and system acceleration libraries and strategies to further accelerate AI workloads
• Analyze deep learning networks, estimate target latency and accuracy.
• Development of profiling tools for finding bottleneck parts of AI accelerators and models.
• Development of optimized inference application.

Qualifications

• Bachelor’s or Master’s degree in computer science, machine learning, mathematics, physics, electrical engineering or related field.
• Experience in C/C++, Python, or other related programming language
• Experience in accelerating deep learning models or libraries on hardware architectures.
• Experience working with machine learning frameworks such as PyTorch, TensorFlow, ONNX etc.
• Ability to speak and write in English at a business level.
• Experience of Product Owner of scrum team is plus.

Overview

We are seeking a talented and motivated AI compiler Engineer (AI Sub-system) to join our R&D team to own, define, and drive exploration and design of our next generation runtime software involving multi heterogeneous devices in high performance computing (HPC) SoCs.

Our division’s mission is to use the latest AI and cloud technologies to develop the best AI inference for advanced driver safety engineers building self-driving vehicles and other high performance compute products. Renesas is the leading automotive electronics supplier globally, and this is a rare opportunity to develop the infrastructure required to deploy our AI software to the billions of devices we ship to customers every year.

You will join our newly formed AI & Cloud Engineering organization of around 100 software engineers. Due to strong demand for our AI-related products we are planning to triple in size in the next three years, so there is lots of room for you to help us grow the team together while remaining small.

Our team’s key locations are Tokyo, London, Paris, Dusseldorf, Beijing, Singapore, Ho Chi Minh City, and other metropolitan areas, but you can also join fully remotely from other locations globally or get our support to relocate to our key hubs such as Tokyo.

Responsibilities

• Participate and lead in the software architecture design of the runtime software across multi-device and heterogeneity.
• Apply code optimization techniques, ensuring efficient and optimized performance of the runtime software components.
• Deliver architecture specifications to developers and articulate them effectively across stakeholders ranging from toolchain, system and hardware teams, and to technology leadership.
• Collaborate with silicon and platform bring-up to verify and debug the AI sub-system and its delivered performance

Qualifications

• Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, or related field; Ph.D. is a plus.
• 10 years of embedded software design and development on SoCs and/or ASICs.
• Great coding skills in C/C++.
• Great knowledge of SW architectural patterns (layered/plugin/event-driven/ microkernel/etc).
• Good knowledge of SDLC.
• Good knowledge of RTOS and/or Linux OS.
• Good knowledge of multi-thread and multi-process software design and debugging.
• Experience with embedded system involving multi-core CPU/DSP.
• Experience with heterogeneous multi-device system involving GPU/NPU/FPGA.
• Knowledge of debuggers (LLDB, GDB) and profilers on heterogeneous hardware system.

Preferences

• Experience with Python is a plus.
• Experience with ARM and/or RISCV ISA is a plus.
• Knowledge of Linux kernel and driver development is a plus.
• Knowledge of CNN and common NN operators/layers like Conv2D, BatchNorm, etc is a plus.
• Knowledge of internal of inference engines like TFLite, OpenVINO runtime, ONNX runtime, TVM runtime, etc is a plus.
• Knowledge of JTAG debugger and bare-metal bring-up is a plus.
• Knowledge of high performance domain-specific languages (SYCL/CUDA/OpenCL) is a plus.
• Knowledge of PyTorch or TensorFlow is a plus.
• Knowledge of just-in-time compilation techniques is a plus.

Specific Responsibility:

• Performing lab-scale and pilot-level compounding of new polymer / filler systems.
• Performing injection molding to prepare the test specimen for plastic testing.
• Ensures that lab machinery is operated following established processing, quality, safety, and housekeeping procedures.
• Cleans and prepares machinery for efficient changeovers and subsequent compounding & injection molding process.
• Trouble-shoots processing problems to ensure production of quality products.
• Keep complete and accurate records of process records.
• Assists routine maintenance of machinery & auxiliary equipment.
• Maintains surrounding work area according to established housekeeping standards.
• Complies with established safety policies and procedures.
• Performs other duties as required.

Job Requirements:

• Support, assist other aspects of Engineering Centre operation as and when necessary.
• Diploma in Science or Engineering, preferably in material science, polymer technology or chemical engineering.
• Fresh graduate or 2 years working experience with polymer processing.
• Experience in polymer compounding & injection moding will be an added advantage.

Specific Responsibility:

• Performing lab-scale and pilot-level compounding of new polymer / filler systems.
• Performing injection molding to prepare the test specimen for plastic testing.
• Ensures that lab machinery is operated following established processing, quality, safety, and housekeeping procedures.
• Cleans and prepares machinery for efficient changeovers and subsequent compounding & injection molding process.
• Trouble-shoots processing problems to ensure production of quality products.
• Keep complete and accurate records of process records.
• Assists routine maintenance of machinery & auxiliary equipment.
• Maintains surrounding work area according to established housekeeping standards.
• Complies with established safety policies and procedures.
• Performs other duties as required.

Job Requirements:

· Support, assist other aspects of Engineering Centre operation as and when necessary.

· Diploma in Science or Engineering, preferably in material science, polymer technology or chemical engineering.

· Fresh graduate or 2 years working experience with polymer processing.

Experience in polymer compounding & injection moding will be an added advantage.

Specific Responsibility:

• Performing lab-scale and pilot-level compounding of new polymer / filler systems.
• Performing injection molding to prepare the test specimen for plastic testing.
• Ensures that lab machinery is operated following established processing, quality, safety, and housekeeping procedures.
• Cleans and prepares machinery for efficient changeovers and subsequent compounding & injection molding process.
• Trouble-shoots processing problems to ensure production of quality products.
• Keep complete and accurate records of process records.
• Assists routine maintenance of machinery & auxiliary equipment.
• Maintains surrounding work area according to established housekeeping standards.
• Complies with established safety policies and procedures.
• Performs other duties as required.

Job Requirements:

· Support, assist other aspects of Engineering Centre operation as and when necessary.

· Diploma in Science or Engineering, preferably in material science, polymer technology or chemical engineering.

· Fresh graduate or 2 years working experience with polymer processing.

Experience in polymer compounding & injection moding will be an added advantage.

You will be part of a dynamic team working on continuous improvement of PSA application platform-based systems. Key responsibilities include:

• managing vendors for day-to-day system support
• designing and developing system/mobile solutions to enhance business processes and digitalization objectives
• engaging key stakeholders on process design and optimization, integration with PSA systems and industry partners
• performing data support to engineers to ensure data quality and integrity for analysis and visualization
• project management, vendor management and work collaboratively with key stakeholders to ensure quality delivery with corporate governance.

Requirements

• Degree in System Engineering, Software Engineering or other ICT related fields
• Passionate about system development, process re-engineering and exploration of new technologies
• Keen in developing project and vendor management skills
• Enjoy internal and external stakeholder engagement and management
• Good analytical and problem-solving skills