Total 425 software engineer job vacancies in George Town

Company Description

Zuler is a global leader in remote desktop and cloud computing technologies, specializing in ultra-low latency, high-resolution solutions with their proprietary ZeroSync® Engine. With millions of users and enterprise subscribers worldwide, Zuler is revolutionizing connectivity and accessibility to high-performance computing. The company is backed by significant investments, patents, and a diverse team of industry experts.

About the Role

We are now seeking an experienced Full Stack Engineer that is proficient with the latest AI tools to drive the design and development of the web applications for our current projects end-to-end.

Key Responsibilities:

1. Design and develop the front-end architecture of web applications, ensuring a smooth user experience and highly responsive interfaces;
2. Build high-performance, scalable server-side applications using Node.js, and design RESTful APIs and microservices architectures;
3. Utilize Python for data analysis, script development, and the creation of automation tools;
4. Leverage AI-assisted programming tools to enhance code quality and development efficiency;
5. Participate in technology selection and architecture reviews, driving continuous improvement in the team’s technical capabilities;
6. Collaborate effectively with product, design, and testing teams to ensure timely and high-quality project delivery.

Requirements:

1. Work Experience: Minimum of 5 years of full-stack development experience, with a proven track record of delivering end-to-end projects from inception to production;
2. Front-End Skills: Strong proficiency in HTML5, CSS3, and JavaScript; hands-on experience with at least one mainstream framework such as React, Vue, or Angular; familiarity with front-end engineering practices and performance optimization;
3. Back-End Skills: Deep expertise in Node.js and its ecosystem (e.g., Express, Nest.js, Koa), with experience in developing high-concurrency and distributed systems;
4. Python Skills: Proficient in Python for back-end development, data processing, or automation scripting;
5. Databases: Solid experience with databases such as MySQL, PostgreSQL, or MongoDB, including database design and optimization capabilities;
6. DevOps: Familiarity with Docker, Kubernetes, and CI/CD pipelines, with hands-on experience using cloud service platforms;
7. AI Tools: Proficient in using AI-assisted development tools, with strong prompt engineering capabilities.
8. Language Skills: Proficiency in Chinese (Mandarin) language in both verbal and written media is essential to communicate with key stakeholders and cross-functional project team members based in China.

Preferred Qualifications:

1. Contributions to open-source projects or demonstrated influence through technical blogs or developer communities;
2. Familiarity with AI/LLM application development, with practical project experience.

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-%28AI-Assisted-Polymeric-Memristor-with-Homogenous-Switching-Enables-In-situ-Neurom/33269-en_GB/?st=C6A47C97803351A6289A799639FE792AEAB10BB6

We regret that only shortlisted candidates will be notified.

Job Description

•    Investigation into using AI for material selection and design
•    Investigation into model construction for neuromorphic computing of materials and device
•    Mentor Master students
•    Draft grant proposals
•    Oversee lab safety
•    Draft review article 
•    Assist the research group and PI in group logistics and travel reimbursements

Job Requirements

•    Master degree in chemistry, materials science and engineering, or chemical engineering. 
•    Ample research experience in AI for Science
•    Solid background/experience in  Neuromorphic Computing
•    Excellent communication and writing skills
•    Prior undergraduate mentoring experience
•    Assist in chemicals and supplies ordering for research group
•    Assist in travel reimbursements

About Cynapse

Cynapse is a leading AI software company specializing in enterprise-grade Video Intelligence Solutions Powered by Generative AI, tailored to meet the unique challenges of various industries. Our vertical-specific solutions empower organizations to enhance safety, operational efficiency, and security in complex environments such as roads, seaports, airports, and cities. By combining advanced Vision AI with Generative AI, we continually push the boundaries of video analytics, delivering insights and automation that transform operations.

Led by a global team with a proven track record of scaling startups into market leaders, we foster innovation, collaboration, and diverse perspectives. Headquartered from US, Cynapse serves clients worldwide, redefining what's possible with video intelligence.

Job Description

We are seeking a talented and highly motivated Machine Learning Engineer to join our Model Engineering Team, focused on building, training, and improving computer vision models used in real-world systems. In this role, you will engineer models for improved accuracy, speed, and reliability, and work across experimentation, data, and production-facing ML pipelines.

You will collaborate with experienced engineers to translate research ideas and experiments into practical improvements that impact deployed systems.

You will also work with production-level machine learning systems, contributing to how models are evaluated, deployed, and monitored in real-world environments.

What You’ll Do:

Model Engineering & Training

• Assist in training, fine-tuning, and evaluating computer vision models for tasks such as classification, object detection, segmentation, pose estimation, and video understanding.
• Contribute to model engineering efforts, including modifying architectures, adjusting backbones or heads, and tuning training strategies to improve accuracy, stability, and inference speed.
• Experiment with training techniques such as data augmentation, loss functions, optimisation methods, and learning rate scheduling.
• Explore and evaluate modern vision models, including open-vocabulary or multimodal approaches where relevant.

Research & Experimentation

• Read, discuss, and apply insights from relevant research papers, technical blogs, and internal technical documentation.
• Prototype and evaluate new models, approaches, or techniques, comparing them against established baselines through structured experiments.
• Analyse experimental outcomes and document insights on performance trade-offs, limitations, and failure modes.

Evaluation & Failure Analysis

• Analyse model performance beyond headline metrics, including long-tail behaviour, edge cases, and real-world impact.
• Debug model failures such as false positives, false negatives, or unstable predictions.
• Improve robustness through targeted data improvements, inference logic, or model adjustments.

Data & Experimentation Infrastructure

• Work with large-scale datasets, including preprocessing, augmentation, validation, and quality checks.
• Follow established workflows for dataset versioning, experiment tracking, and reproducibility.
• Write clean, maintainable experiment code and configuration-driven training setups.

Production & MLOps Exposure

• Assist with model deployment and monitoring under the guidance of senior engineers.
• Work with training, evaluation, and inference pipelines used in production.
• Apply model lifecycle practices such as versioning, retraining, validation, and rollback.
• Consider performance and efficiency constraints, including latency, GPU memory usage, and inference cost.

Minimum Requirements

• At least a degree in Computer Science, AI, Machine Learning, or a related technical field, or equivalent practical experience.
• 1 – 2+ years of relevant hands-on experience with deep learning and computer vision through professional work, research, or substantial projects.
• Proficiency in Python.
• Experience with PyTorch and/or TensorFlow.
• Familiarity with Linux environments (CLI usage, basic shell commands).

Bonus Skills

• Exposure to multimodal or open-vocabulary models.
• Experience modifying models beyond configuration-level changes (e.g. layers, heads, loss functions).
• Familiarity with experiment tracking or MLOps tools (e.g. Git, Docker, MLflow, Weights & Biases).
• Experience with model optimisation or export (e.g. ONNX, TensorRT, quantization).
• Experience working with video data or tools such as OpenCV or FFmpeg.

Personal Competencies

• Strong interest in engineering and improving machine learning models, rather than treating them as black boxes.
• Curiosity about how architecture, data, and training strategies affect real-world performance.
• Comfortable experimenting, debugging, and iterating in a collaborative engineering environment.
• Ability to take ownership of model components appropriate to experience level and project needs.

Note: Due to the nature of the role, the position is considered only for candidates who are already based in Singapore.

Product area

It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours. 

Job description

As a GenAI Forward Deployed Engineer (FDE) at Google Cloud, you are an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you function as an "innovator-builder," moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment. This role is designed for high-agency engineers with a founder’s mindset, and you will address blockers to production including solving the integration complexities, data readiness issues, and state-management challenges that prevent AI from reaching enterprise-grade maturity. By embedding with strategic accounts, you serve a dual purpose: providing "white glove" deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.

Qualifications

Job responsibilities

• Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable return on investment.
  
• Architect and code the "connective tissue" between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.
  
• Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.
  
• Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for engineering teams.
  
• Be able to co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption. Translate technical concepts to non-technical and executive Mandarin-speaking audiences.

Minimum qualifications

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
  
• 5 years of experience with software development using Python or similar coding languages.
• Experience architecting AI systems on cloud platforms (e.g., GCP).
  
• Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.
• Experience taking production-grade AI-driven solutions from conception to launch for customers.
• Ability to communicate in Mandarin fluently in order to communicate in this customer-facing role.

Preferred qualifications

• Master’s degree or PhD in AI, Computer Science, or a related technical field.
• Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).
  
• Experience leading technical discovery sessions.
• Knowledge of "LLM-native" metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.

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-%28Data-driven-understanding-of-hydroclimate-extremes%29/33189-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Applications are requested for Research Engineer (RE) positions on climate change, risk assessment of compound droughts and floods using the latest AI techniques in the Department of Civil and Environmental Engineering at the National University of Singapore (NUS).

The selected Research Engineer (RE) is required to work on:
•    drought and flood risk assessment under climate change.
•    land use optimization and reservoir-informed managed aquifer recharge assessment. 
•    multi-sector dynamics. 

Job Requirements

•    At least a bachelor’s degree in civil engineering, hydrology, water resources engineering, optimization, seasonal forecasting, machine learning, or from similar programs.
•    Master’s degree is preferred.
•    Extensive experience in developing complex computer codes, e.g. in Python, R, or Shell.
•    Ability to construct and write papers for leading research journals and conferences. 
•    Good written and spoken communication.
•    Open to fixed-term contract. 

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-%28Data-driven-understanding-of-hydroclimate-extremes%29/33190-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Applications are requested for Research Engineer (RE) positions on climate change, risk assessment of compound droughts and floods using the latest AI techniques in the Department of Civil and Environmental Engineering at the National University of Singapore (NUS).

The selected Research Engineer (RE) is required to work on:
•    drought and flood risk assessment under climate change.
•    land use optimization and reservoir-informed managed aquifer recharge assessment. 
•    multi-sector dynamics. 

Job Requirements

•    At least a bachelor’s degree in civil engineering, hydrology, water resources engineering, optimization, seasonal forecasting, machine learning, or from similar programs.
•    Master’s degree is preferred.
•    Extensive experience in developing complex computer codes, e.g. in Python, R, or Shell.
•    Ability to construct and write papers for leading research journals and conferences. 
•    Good written and spoken communication.
•    Open to fixed-term contract. 

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/Semiconductor-Process-Engineer/33160-en_GB/

We regret that only shortlisted candidates will be notified.

We are seeking an experienced Process Engineer for process innovation, continuous improvement, and advanced technology development initiatives. This role focuses on improving yield, performance, scalability, and cost efficiency across semiconductor fabrication processes.

The ideal candidate brings strong analytical capability, hands-on semiconductor process knowledge, and a passion for driving measurable improvements through data-driven methodologies, experimentation, and cross-functional collaboration.

Key Responsibilities

·       Develop, design and optimise process integration flow for Silicon based and lithium niobate based photonics devices

·       Design of Experiments (DOE) to optimise critical process parameters (throughput, yield, etc.).

·       Collaborate with device, integration, equipment, and reliability teams to enhance process capability.

·       Drive technology transfer from R&D to manufacturing with optimised process windows.

·       Prepare technical documentation, reports, and presentations for internal and external stakeholders.

Qualifications

·       Bachelor’s, Master’s or PhD in Electrical Engineering, Physics, Material Science or related field.

·       3+ years of semiconductor process engineering experience (R&D or manufacturing).

·       Strong understanding of semiconductor fabrication process flows (lithography, etch, deposition, implantation, CMP, etc.).

·       Demonstrated experience in process optimisation and yield improvement.

·       Hands-on experience with DOE, statistical modeling, and process capability analysis.

·       Proficiency with data analysis tools such as Python, origin or similar.

·       Experience leading cross-functional technical projects.

Please be informed that only shortlisted candidates will be informed.

Key Tasks and Responsibilities:

• Technical Guidance – Provide expert advice and technical support to the wider BWO organisation on Process Safety / Technical Safety activities in Asset Operations, Projects and Concept Development.
• Verification Activities – Ensure Asset Operations and Projects compliance with Technical Standards, Design Performance Standards and Operational Performance Standards. Support the internal verification process, performing process safety verification activities in coordination with the Verification / Continuous Improvement department.
• Monitor and report Key Performance Indicators (KPIs) related to Process Safety. Conduct regular performance analysis to uncover weak signals and proactively identify areas of improvement.
• Support development and maintenance of BWO’s Technical Standards – These define the minimum requirements for Asset Operations and Projects within own discipline.
• Support Level 3 Incident Assessments, where required.
• Continually seek improvements in personal areas of responsibility.

Qualifications:

• A minimum of 10+ years’ experience in the offshore Oil & Gas industry, or closely related industry.
• Technical Safety experience in Projects is required, preferably within the FPSO industry.
• Operational expertise from both project and operations phases of offshore facilities, including experience in audit and verification activities is preferred.

Skills:

• Team player with the ability to lead.
• Proactive and able to work independently, applying a structured and systematic approach.
• Strong communication skills and the ability to ask relevant questions and provide thorough explanations.
• Ability to deliver high quality work on time.
• Ability to work in a multidisciplinary / multinational environment.
• In-depth knowledge of Technical Safety design and Process Safety.
• Well-versed in relevant international Codes and Standards.
• Good awareness of safety management systems and best practices across the industry.

We are seeking a motivated and detail-oriented Assistant Mechanical Engineer to support the Design and Engineering team in the development of mechanical systems. 

The ideal candidate should possess strong foundation in mechanical engineering principles and have practical experience using AutoCAD for drafting and design work. 

This role offers an excellent opportunity to work closely with Senior Product Designer on a variety of engineering projects.

Key Responsibilities

• Assist in the design of mechanical components
• Prepare and modify technical drawings, layouts, and schematics using AutoCAD and 3D software. 
• Support project planning and bill of material activities
• Review technical specifications of material and parts
• Maintain engineering records, drawings, and reports
• Participate in project meetings as required

Qualifications

• Experienced in Mechanical Engineering or a related field
• Knowledgeable in AutoCAD or 3Dvsoftware
• Basic understanding of mechanical engineering drawing
• Good communication and teamwork ability

Preferred Skills

• Experience with 2D and 3D CAD drafting.
• Knowledge of Microsoft Office applications.
• Experience with additional design software such as SolidWorks or Inventor is a plus

Working Conditions

• Office-based engineering and design work. 
• Collaboration with engineering, production, and project teams

Benefits

• Professional development and training opportunities
• 5 days work Mon to Fri 9am to 6pm
• Medical insurance

What you will do:

Acts as on-site project leader to plan, execute, and complete assigned projects. Delegates tasks to execute and fully complete assigned projects. Coordinates communication with customer during all phases of the project. Coordinates the work of subcontractors. 

How you will do it:

• Define scope, budget and schedule for projects.

• Device project implementation methodology.

• Plan and oversee work schedule for the multiple small to medium scale project under responsibility, in coordination with supervisor.

• Identify potential project risks and recommend appropriate resolutions.

• Establish effective communication with customer.

• Track and update progress, task and project health to supervisors.

• Ensure and monitor compliance to applicable codes, practices, QA/QC policies, performance standards and specifications.

• Perform regular quality audit for all the suppliers and sub-contractors.

• Identify and secure variation order.

• Cost control.  Track, monitor and ensure delivery of financial commitment as per KPI.

• Managing reports and documents.

• Work closely with Sales team for tender bidding.

• Supervision of sub-contractors’ work at site.

• Schedule purchase and deliveries of all materials for the project in a timely manner.

• Able to work with drawings and submission as per project requirement.

• Assign task to, and supervise Assistant Project Engineer, Technician, if any.

• System applications, drafting, data base generation and commissioning.

• Follow-up on payment from customers and verify payment to our suppliers.

• Train customer and provide first year maintenance warranty schedule visit.

• Hand over project to customer and later to service team.

• And other related works as assigned by your superior.

What we look for:

• Degree with minimum 3 years relevant working experience in BMS project.

• Excel, Word and Project essential.

• Require interaction with clients, consultants and sub-contractors, etc.

• Need to work odd hours as and when required, whenever the work need to be done on time.

What you will do:

The Senior Application Engineer is responsible for technical support – primarily customer quotations and business development case studies for various composite applications. Key emphasis will be on the ability to understand customer requirements and rapidly demonstrate how composite based solutions can be utilized to provide solutions with costing, timing, and resources included in the proposals. This position will require travel with the business development team to customer facilities during visits to discuss these future opportunities in depth.

How you will do it:

• Provides customer support by responding to requests for technical queries with detailed analysis of building management system, schedule of creation, tooling costing, and submittal of design and process improvements, when applicable, to meet all customer product needs.

• Works with engineering, sales, and ops staff to understand standard component fabrication techniques, standard composite materials to use, and current demands of our customers to formulate design details for the sales staff and our customers.

• ·Provides product technical engineering information by creating and giving presentations on customer proposals. This contains, but is not limited to, 3D representations of finished goods, 3D representations of tooling, etc.

• ·Prepares cost estimates by studying blueprints, plans, and related customer documents; consulting with engineers, and other professional and technical personnel.

• Conceptual design of composite components and assemblies to support proposals

• Generate solid and surface component and assembly CAD models

• Ability to compose detailed bill of materials for proposals

• Work as part of a team of design and engineering and ops staff

• Knowledge of ACMV and controls associate with Johnson Control Metasys will be an advantage

What we look for:

• Bachelor's Degree in Process & Instrumentation Engineering, Electrical Engineering with minimum 1 year relevant working experience

• Possess knowledge in PLC programming. Pcvue or ICONICS software

• Transportation composite or other composite experience preferred

• Willing to learn new things

My client:

My client is a well-established technology company building large-scale, consumer-facing digital platforms used by millions of users globally. The team is highly engineering-driven, with strong emphasis on system reliability, automation, and operational excellence. This role offers the opportunity to work on production-critical systems, collaborate closely with backend and platform engineers, and take real ownership of reliability and infrastructure in a fast-moving, high-impact environment.

Job Responsibilities:

• Ensure high availability and reliability of production systems supporting large-scale online services.
• Own core operational functions including resource management, incident response, capacity planning, monitoring, and reliability improvements.
• Review system and infrastructure designs, proactively identifying potential reliability and scalability risks.
• Analyze system bottlenecks and structural weaknesses, and lead optimization initiatives to improve stability and cost efficiency.
• Participate in 24/7 on-call rotations, responding quickly to production incidents and driving root cause analysis.
• Continuously improve operational processes through automation, reducing manual intervention and operational overhead.

Job Requirements:

• Bachelor’s degree in Computer Science or a related technical field.
• Proficiency in Python, Go, or Shell scripting, with the ability to independently build tools or platforms.
• Solid experience with cloud infrastructure; exposure to multi-cloud or hybrid environments is a plus.
• Strong fundamentals in Linux systems, networking, load balancing, and high-availability / disaster recovery design.
• Hands-on experience operating or supporting large-scale web services in production environments.
• Self-motivated, responsible, and comfortable working in a fast-paced, reliability-critical environment.

What They Offer

• A large-scale, production-grade technical environment supporting high-traffic, consumer-facing platforms.
• A stable yet fast-evolving engineering environment with long-term technical depth and learning potential.
• Close collaboration with experienced engineers in a flat, open, and execution-focused team culture.

About Us

Dada Consultants was established in 2017, with the commitment of providing the best recruitment services in Singapore. We are comprised of a dynamic head-hunting team dedicated to sourcing for highly competent professionals in IT industry. We provide enterprises with customized talent solutions, and bring talents to career advancement.

If it sounds like your next move, please don’t hesitate to apply. Kindly note that only shortlisted candidates will be contacted. Appreciate your understanding. Data provided is for recruitment purposes only.

www.dadaconsultants.com

EA Registration Number: R2197058

Business Registration Number: 201735941W. Licence Number: 18S9037

About TUMCREATE

TUMCREATE is a multidisciplinary research platform of the Technical University of Munich (TUM) at the Singapore Campus for Research Excellence and Technological Enterprise (CREATE). We are partnering with universities, public agencies, and industry to advance future technologies.

The HEARTwise project is a public-private research initiative funded by Singapore's National Research Foundation, bringing together clinical cardiologists (CADENCE / NUHS, NHCS),engineers from TUM and TUMCREATE, and MedTech partners. The project develops a multimodal platform for non-invasive, early decompensation detection inambulant HF patients – combining wearable mobility sensing, heart and lung sound recognition, and integration with additional digital biomarker sources.

As a member of the HEARTwise team, you will collaborate within an interdisciplinary consortium comprising leading experts in cardiology, telemedicine, biomedical engineering, acoustics, data privacy, and industry.

Please visit www.tum-create.edu.sg for more information about TUMCREATE.

Background & Scientific Context

Heart failure (HF) affects 2.5% of Singapore's population and is the leading cardiac cause of hospital admission – presenting a decade earlier and more aggressively than in Europe or North America. The 30% rehospitalization rate within 90 days of discharge is both a major clinical burden and a window of opportunity for early, data-driven intervention.

Job Summary

We are seeking a highly motivated and skilled researcher with proven expertise in signal processing, in user or patient research studies, and in creating software for participant testing. You will collaborate with clinicians and be responsible for audio data collection of heart and lung sounds in the clinic, for creating an annotated database, and for validating sound classification prototypes in a pilot clinical diagnostic study. You will work on prototype algorithms for classification of heart and lung sounds and develop approaches for integrating multimodal data from mobility sensing and other biomarkers to create a reliable tool for early decompensation detection in ambulant HF patients.

This is a fixed-term contract until March 2029 when applicable.

Key Responsibilities

• Work on classification algorithms of heart and lung sounds, on multimodal data analysis and fusion, and on verifying the technology against requirements.
• Work with clinicians on data collection from heart failure patients and build a database under consideration of data protection and ethical requirements
• Develop a tool for audio data collection in the clinic, advance it into a clinical audio classification prototype and validate it in a pilot clinical study.
• Collaborate with experts in cardiology, telemedicine, biomedical engineering, acoustics, and data privacy
• Write scientific manuscripts, contribute to project reports, and present findings at international conferences and stakeholder meetings.

Key Competencies

• At least 1 year of proven expertise in signal processing, user or patient studies, and in creating software for participant testing.
• Excellent written and verbal communication skills in English, with the ability to communicate complex analytical results to multidisciplinary teams.
• Demonstrated ability to work independently and collaboratively in a fast-paced, international research environment.

Qualification Requirements

• We are seeking a researcher with a PhD degree in hearing research, electrical engineering, biomedical engineering, human factors engineering, (medical) physics, computer science or similar and a proven track record in (audio) signal processing and in developing and conducting research studies with users or patients. Fresh graduates, PhD candidates and Engineers in similar fields will also be considered.
• Proficiency in C/C++,Matlab/Python and anaconda (or similar).
• Experience in machine learning and database interfacing is highly desirable.
• Ideally, the candidate has an interdisciplinary education including acoustics that facilitates collaboration with biomedical engineers.

What we offer

• A collaborative and inclusive world-class research environment.
• Opportunities for professional development.
• Engagement with a leading international team addressing interdisciplinary challenges in heart failure management.

Applications

Please submit the following compulsory documents to hr@tum-create.edu.sg:

• Cover letter
• CV
• University transcripts

Only shortlisted candidates will be contacted.

We look forward to your application!

YOUR NEW JOB

As a Security Implementation Engineer, you will work alongside senior consultants and project teams to deliver successful implementations of Google SecOps and/or SentinelOne platforms, ensuring customers are onboarded effectively and solutions are configured according to project requirements.
You will support the deployment, configuration, and implementation of modern cybersecurity solutions across enterprise customer environments.
This is a 12-month renewable contract role based with one of the region's leading technology & systems integrators.

WHAT YOU’LL BE DOING

• Support the implementation and deployment of Google SecOps and/or SentinelOne solutions for enterprise customers
• Assist with solution configuration, onboarding, and integration activities
• Participate in customer workshops, requirement gathering, and technical discussions
• Perform testing, validation, and troubleshooting during implementation projects
• Document implementation procedures, technical configurations, and deployment activities
• Work closely with project managers, senior engineers, and customer stakeholders to ensure successful project delivery
• Provide post-implementation support and issue resolution where required
• Stay updated on product features, cybersecurity trends, and vendor best practices

WHAT IS NEEDED FROM YOU

• At least 1 year of hands-on experience with Google SecOps and/or SentinelOne solutions
• 1–3 years of IT infrastructure, cybersecurity, or systems implementation experience
• Basic understanding of SIEM, endpoint security, threat detection, and security operations concepts
• Experience supporting technical deployments, implementations, or system integrations
• Familiarity with Windows, Linux, networking, and cloud environments
• Strong troubleshooting and problem-solving skills
• Diploma or degree in Information Technology, Computer Science, Cybersecurity, or related field
• Good communication skills and ability to work directly with customers and internal teams

WHAT WILL MAKE YOU STAND OUT

• Relevant certifications from Google, SentinelOne, Microsoft, or other cybersecurity vendors
• Exposure to cybersecurity projects within enterprise environments
• Experience working for a systems integrator, managed services provider, or IT services organisation
• Familiarity with scripting or automation tools such as Python, PowerShell, or APIs
• Experience supporting SOC, SIEM, EDR, or threat monitoring environments

Senior Mechanical Engineer for HVAC Systems shall be handling on designing and delivering mechanical systems for industrial properties in semiconductors, electronics, biopharma, and related industries.

The mechanical systems include Cleanroom, HVAC, Process exhausts, vacuum, condenser, chilled water, process and process cooling water, fire protection, diesel fuel, natural gas and associated, equipment, ducts and pipe works.

The Duties/ Responsibilities of the Prospective Candidate are,

• Responsible for Engineering of Concept / Basic / Detail design for Mechanical systems with the focus of HVAC systems.
• Shall perform system related engineering calculation including heat load calculation, equipment sizing, distribution system sizing from fundamentals with spreadsheet tools.
• Shall develop design drawings including, but not limited to, PFD, Schematics and Layout for required HVAC systems.
• Engineering design of HVAC and Process Exhaust systems for new/ existing production buildings.
• Conduct feasibility study and conceptual design of Mechanical Systems throughout all technological aspects
• Review of HVAC system in preparation for testing and commissioning and validation
• Coordination and engineering in regards of R&D Equipment requirements
• Provision of engineering service for tendering, conduct site show round and brief bidders
• Develop a detailed project plan to monitor and track progress
• Create and maintain comprehensive project documentation
• Meet with clients to take detailed ordering briefs and clarify specific requirements of each project
• Coordinate internal resources and third parties/vendors for the flawless execution of projects
• Clearly define and align inter-discipline technical interfaces and scope demarcation
• Work with CAD drafters and BIM modeler to guide, check and carry out field verification with them.
• Prepare SOW (Scope of work) for bid package, including BOM for form of tender.
• Calculate system OSE (Operating System Efficiency) of chilled water system to meet MEES requirements.
• Frictional loss calculation for fan and pump head and estimation of power requirements.
• Perform psychrometric analysis on system design
• Trouble shooting of design and construction related problems and develop solutions accordingly
• To promote safe working practices and to protect the health and well-being of Employees, contractors and Customers.
• Liaising with QA / QC Engineers to ensure they are aligned with the requirements of the specification.
• Support during construction stage

Job / Skills Requirement:

• You should have a bachelor's degree in mechanical.
• You should have sound experience in mechanical systems in designing and installation works related to semiconductors, biopharma, laboratories, data centers, or process buildings.
• You should be familiar with both Singapore and Malaysia’s latest codes, standards, guidelines, regulations, and authorities requirements. Your familiarity with available equipment, modern technology, construction methods, and CAD/ BIM is an added advantage.
• You should be able to advise clients and engineers on project execution, supervising progress, and quality of work.
• Able to Travel/ Relocate