Total 410 test engineer job vacancies in George Town

Project Overview

This project aims to develop a real-time blood analysis and diagnostic platform using an integrated microfluidic chip. This platform uses precision microfluidic technology to process and profile the biological activity of white blood cells which is related to a host of inflammatory conditions ranging from diabetes, sepsis to leukemia. The platform developed will enable point-of-care diagnosis of diseases and this project will accelerate the platform from bench to bedside through the development, deployment and testing of clinical samples.

This Engineering position offers a rare opportunity to bridge the gap between laboratory discovery of new technologies and real-world implementation of clinical deployment and testing. 

Responsibilities

The engineer is responsible for the design, prototype, manufacturing and testing of the medical device. This involves the use of with computer-aided design prototyping, setting specifications and assembly of mechnical/electrical components, testing and deployment of device for field testing.

Responsibilties include:

- To work closely with a team of clinical, mechanical/software engineers and data scientist for the medical device design and prototyping. Gather feedbacks on prototype designs by end-users.

- To Validate designs by analysing data gathered from component or system level testing. Use benchmarking techniques to characterise component and device performance.

- To ensure proper documentation of design history files and standardization of data storage for reports, presentations, technical and administrative documents.

- To source for vendors and components to ensure manufacturability and cost of medical device.

- To support the team for maintenance of equipment, inventory and purchases.

Requirements

- Bachelors/Masters in Mechanical, Electrical, Biomedical Engineering with at least 1 years of experience in hardware prototyping and/or microfluidic operations.

- Rapid prototyping experience in areas such as 3D printing, laser cutting, CNC, injection molding, microcontroller/microprocessor programming and relevant skills in embedded system.

- Prefered experience in commercial manufacturing, R&D project management and hardware testing/certification.

- Excellent debugging skills and strong ability to root cause, isolate and solve software/hardware system issues.

- Fluent in C++, Python (3.X) and relavent coding languages for software-hardware integration.

- A desire to deliver a quality and innovative medical diagnostic product that improves many people’s lives.

- Good communication and managing skills are important to work with colleagues efficiently in addition to creativity to solve problems and find improvements on products and processes already in place.

- Required experience and knowlegde to read or write scientific publications, patent search, schematics and data sheets for hardware components.

- Able and commited to work in Singapore. Willing to commute and meet regularly with vendors and collaborators at NUS, NUH, and partnering hospitals.

- Strong documentation and writing skills

- A desire to deliver a quality and innovative medical diagnostic product that improves many people’s lives.

Relevant Skills

2D/3D Computer Aided Designs, C++, Python, Operating CNC/3D printers, basic use of machine tools, electronics circuit design, Github 

To apply, please visit our website at: https://portal.smart.mit.edu/careers/career-opportunities

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified.

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-%28SHINE-Programme-Management-and-Operations%29/33488-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

SHINE Programme Management and Operations 
•             Support the coordination and execution of SHINE research programmes in close collaboration with the Programme Director, principal investigators, researchers, and stakeholders.
•             Monitor programme deliverables, milestones, KPIs, and reporting timelines across SHINE projects and research thrusts.
•             Support coordination across SHINE research thrusts and facilitate interactions among principal investigators, researchers, industry partners, and funding stakeholders.
•             Coordinate and consolidate programme reports, including mid-term reviews, annual reports, final reports, presentations, and programme updates.
•             Support budget monitoring, grant utilisation tracking, expenditure reporting, fund requisitions, and budget virement processes.
•             Coordinate Governing Board (GB), Scientific and Technical Advisory Committee (STAC), programme review meetings, and related stakeholder engagements.
•             Assist in the preparation of technical and programme review materials, presentations, and supporting documentation.
•             Liaise with principal investigators, researchers, industry partners, and funding agencies to support programme execution and ensure timely delivery of project objectives.
•             Coordinate technical visits, industry engagements, and programme-related activities to support alignment between research activities and industry needs.
•             Maintain programme documentation, fixed asset records, compliance materials, and operational records.
•             Provide operational and administrative support for SHINE programme activities and initiatives as assigned.

Qualifications

 •            Possess a Bachelor's degree in a STEM discipline (Science, Technology, Engineering or Mathematics), preferably in Electrical Engineering, Computer Engineering, Materials Science, Physics, Mechanical Engineering, or a related field.
•             Relevant experience in research programme management, project coordination, industry collaborations, technology development programmes, research administration, or related functions would be advantageous.
•             Experience coordinating research projects, collaborative programmes, technical workshops, industry engagements, or multi-stakeholder initiatives.
•             Ability to engage effectively with principal investigators, researchers, students, industry partners, government agencies, and other stakeholders.
•             Strong interpersonal, communication, stakeholder management, and organisational skills.
•             Strong analytical and problem-solving abilities, with the capacity to manage multiple priorities and workstreams concurrently.
•             Familiarity with semiconductor technologies, advanced packaging, microelectronics, photonics, or related technology domains would be advantageous.
•             Experience in a university, research institute, government agency, corporate laboratory, or technology-related environment would be advantageous.
•             Proficient in Microsoft Office applications and comfortable working with project management and administrative systems.
•             Self-motivated, resourceful, and able to work independently in a dynamic research environment.
•             A collaborative team player with a positive attitude and strong attention to detail.
•             Open to appointment on a fixed-term contract

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

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

Key Responsibilities:

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

Qualifications:

Minimum Requirements:

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

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

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

We are looking for highly motivated and talented researchers to join our interdisciplinary team working on advanced modelling of complex large-scale urban systems, with a particular focus on land use, transport, and the built environment.

This role will involve developing, applying, and refining computational models to better understand urban dynamics, including how land use and transportation interact with the physical, social, and economic environment.

They will work with a collaborative and interdisciplinary team of scientists and engineers that have a passion in understanding the dynamics of large-scale socio-technical systems such as urban transportation (either land, air and/or sea) as well as the relationship between the built environment and social outcomes (such as health or behavioural outcomes across different population segments).

Shortlisted candidates would have the opportunity to work with various external collaborators, either from government and/or industry and work on high-impact real-world research problems, in which they will apply various computational tools such as modelling and simulation and AI to derive insights that can inform urban policy and planning.

Requirements

• Ph.D in Physics, Engineering, Data Science, Geography, or related fields

• Proficiency in Python or R with experience in geospatial and/or statistical packages

• Relevant research/project experience in either of these fields:

o Spatial analysis / Geospatial information system (GIS)

o Transportation and urban systems

o Agent-based modelling / network analysis

• Demonstrated experience in applying geospatial and/or statistical analysis or other relevant analytics tools on real urban problems would be highly desirable

• Experience working on large scale real-world datasets as well as knowledge of social dimension in urban planning would also be a plus

• Good written and verbal communication skills

• Ability to work effectively in an interdisciplinary research environment both individually as well as in a team, with a strong interest in collaborative research and policy impact

ITEngineer (Drone Manufacturing Company)

Job Overview

We are seeking a practical and hands-on Cyber SecurityManager to support and manage the company’s cybersecurity and IT securityoperations within a drone manufacturing environment. The role will focus onmaintaining secure day-to-day IT operations, protecting company systems andengineering data, implementing basic cybersecurity measures, and supportingoverall information security practices.

The ideal candidate should have a strong understanding ofcybersecurity fundamentals, network security, and IT infrastructure, with theability to independently manage operational cybersecurity matters in a small tomid-sized company environment.

Key Responsibilities

Cybersecurity & IT Security

• Maintain and monitor cybersecurity systems including antivirus, endpoint protection, firewalls, VPN access, and email security systems.
• Monitor company networks and systems for suspicious activities, security risks, and unauthorized access.
• Perform regular system updates, security patching, password management, and user access control administration.
• Support implementation of cybersecurity policies, procedures, and best practices across the company.
• Assist in conducting basic vulnerability checks and coordinate remediation of identified issues.
• Ensure company data, engineering files, and confidential information are securely stored and protected.

Incident Response & Compliance

• Assist in investigating and responding to cybersecurity incidents, malware infections, phishing attempts, or security breaches.
• Maintain cybersecurity logs, asset inventories, and security-related documentation.
• Support backup management and basic disaster recovery procedures.
• Assist in ensuring compliance with internal IT security requirements and operational procedures.

User Support & Awareness

• Provide basic cybersecurity guidance and support to employees on safe IT practices.
• Conduct cybersecurity awareness briefings and help enforce IT usage policies.
• Work closely with the IT team, engineering, and operations departments to address security-related concerns.

Vendor & System Coordination

• Coordinate with external IT vendors or cybersecurity service providers when required.
• Support setup and maintenance of secure systems for office and manufacturing operations.

Mandatory Requirements

Educational Background

• Diploma or Degree in Cybersecurity, Information Technology, Computer Science, or related field.

Mandatory Experience

• Minimum 3 years of relevant experience in cybersecurity, IT security, or IT infrastructure support.
• Experience with basic cybersecurity tools such as firewalls, antivirus systems, VPNs, endpoint protection, and access management.
• Familiarity with Windows-based IT environments, networking, and system administration.
• Basic understanding of cybersecurity risks, incident response, and security best practices.
• Due to security risks, only Singaporean Citizens may apply and high security clearance will be required.

Job Description

We are looking for an experienced Network Engineer to manage, maintain, and support enterprise IT infrastructure across AIX, Linux, VMware, AWS, and database environments. The role will involve server administration, cloud infrastructure support, virtualization management, system monitoring, backup and recovery, performance tuning, and troubleshooting of infrastructure-related issues.

The successful candidate will be responsible for ensuring system availability, security, performance, and reliability across on-premise and cloud environments.

Key Responsibilities

Manage and administer AIX and Linux servers, including installation, configuration, upgrades, patching, migration, and maintenance.

Support enterprise server environments running on IBM AIX, RHEL, CentOS, Ubuntu, and related platforms.

Administer VMware ESXi and vCenter environments, including VM creation, cloning, templates, snapshots, vMotion, HA, and resource configuration.

Perform daily server health checks, monitoring of CPU, memory, disk, network, and system performance.

Troubleshoot server, operating system, network, hardware, and virtualization-related issues within agreed SLA timelines.

Manage user accounts, groups, permissions, file systems, security settings, and access controls.

Configure and manage LVM, NFS, Samba, LDAP, cron jobs, Apache, and other Linux/AIX services.

Perform backup, restore, disaster recovery, root password recovery, boot issue troubleshooting, and disk replacement activities.

Administer IBM Power Systems, including HMC, LPAR, DLPAR, VIO Server, SEA, MPIO, and NIM configuration.

Support AWS cloud infrastructure, including EC2, S3, IAM, VPC, RDS, CloudWatch, Route 53, EFS, security groups, Auto Scaling, and Load Balancers.

Create and manage AWS accounts, IAM access, EC2 instances, storage volumes, snapshots, backups, and cloud monitoring alerts.

Implement AWS security best practices using IAM, KMS, GuardDuty, AWS Shield, and related services.

Support cloud migration, cost optimization, automation, and high-availability cloud infrastructure.

Install, configure, and administer MySQL, MariaDB, Percona, PostgreSQL, Redis, and MongoDB in Linux environments.

Manage database users, schemas, backup jobs, replication, alerts, slow query settings, and database troubleshooting.

Support SAN storage administration, including LUN creation, expansion, mapping to ESXi, and health monitoring.

Use monitoring tools such as Nagios, Zabbix, Grafana, Cacti, and LPAR2RRD to track infrastructure health and performance.

Create scripts using Shell scripting, Bash, Korn shell, and Ansible playbooks to automate routine administration tasks.

Coordinate with internal teams, vendors, and support engineers for issue resolution, system maintenance, and infrastructure improvements.

Job Requirements

Diploma or Degree in Information Technology, Computer Science, Engineering, or related discipline.

Minimum 8 to 10 years of experience in system administration, infrastructure support, or related IT operations role.

Strong hands-on experience in AIX and Linux system administration.

Experience with Linux distributions such as RHEL, CentOS, and Ubuntu.

Good knowledge of VMware ESXi, vCenter, VM templates, cloning, snapshots, vMotion, and HA.

Hands-on experience with AWS cloud services, including EC2, S3, IAM, VPC, RDS, CloudWatch, Route 53, EFS, Load Balancers, and Auto Scaling.

Experience in server build, migration, upgrade, patching, monitoring, backup, and recovery.

Knowledge of IBM Power Systems, including HMC, LPAR, DLPAR, VIO, SEA, MPIO, and NIM will be advantageous.

Experience in MySQL, MariaDB, Percona, PostgreSQL, Redis, or MongoDB administration.

Knowledge of SAN storage, LUN mapping, ESXi storage connectivity, and storage health monitoring.

Familiar with monitoring tools such as Nagios, Zabbix, Grafana, Cacti, or LPAR2RRD.

Able to troubleshoot hardware, OS, network, storage, database, cloud, and virtualization issues.

Experience with automation tools such as Shell scripting and Ansible.

Good understanding of IT security, access control, backup strategy, disaster recovery, and system performance tuning.

Ability to work independently and as part of a team in a fast-paced environment.

Good communication, documentation, analytical, and problem-solving skills.

Professional certifications such as IBM Certified System p Administrator AIX, ITIL, AWS, Linux, or VMware certifications will be an advantage.

What you will do:

• Overall responsibility to overlook site installation in terms of quality, technical compliance and meeting project schedule and works safety.

How you will do it:

• Handle day to day operation, project delivery and logistics, construction sequence and constructability

• To manage, control and supervisor subcontractors/vendors performing the works on site to ensure it meet quality & schedule requirements and installed items are as per approved drawings and design intent.

• Support during testing and balancing

• Meeting up with clients to manage complains and issues on site, variation order scopes etc.

• Material incoming receipt, quantity and quality checking and inspection

• Co-ordinate with client representative and QA/QC staff pertaining to Validation activities where required.

What we look for:

• Relevant qualification preferably in mechanical engineering

• Minimum 3 years working experience in Semiconductor construction project, particularly in HVAC Wet/Dry or Process Exhaust

• Extensive project execution experience/know how

• Oversee permit applicant process

• Committed to complete given tasks on time, ability to work independently and taking ownerships and responsibilities on tasks that had been assigned to you.

• Self-motivated and open minded with passion to challenge status quo and drive for continuous improvement

• Process good communication and interpersonal skills

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-%28SHINE-Industry-Projects-and-Programme-Support%29/33489-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

SHINE Industry Projects and Programme Support
•             Coordinate SHINE consortium activities and industry project administration.
•             Support coordination among researchers, industry partners, government agencies, and internal stakeholders to facilitate SHINE activities and industry collaborations.
•             Coordinate industry project activities, including tracking project progress, deliverables, milestones, and reporting requirements.
•             Maintain project documentation, records, and administrative materials to support project execution and compliance requirements.
•             Support technical workshops, industry engagements, consortium activities, and collaborative initiatives involving SHINE researchers and industry partners.
•             Organise workshops, seminars, technical talks, industry visits, and stakeholder engagement activities.
•             Support development of postgraduate programme operations and related programme initiatives.
•             Liaise with researchers, industry partners, government agencies, students, and internal stakeholders to support programme objectives.
•             Provide administrative and operational support for SHINE initiatives and other ad-hoc programme activities as assigned.

Qualifications

•            Possess a Bachelor's degree in a STEM discipline (Science, Technology, Engineering or Mathematics), preferably in Electrical Engineering, Computer Engineering, Materials Science, Physics, Mechanical Engineering, or a related field.
•             Relevant experience in project coordination, industry collaborations, stakeholder engagement, programme administration, research administration, or related functions would be advantageous.
•             Experience coordinating projects, workshops, industry engagements, postgraduate programmes, internships, or multi-stakeholder initiatives would be advantageous.
•             Ability to engage effectively with researchers, students, industry partners, government agencies, and other stakeholders.
•             Strong interpersonal, communication, stakeholder management, and organisational skills.
•             Ability to manage multiple priorities and work effectively in a dynamic environment.
•             Experience in a university, research institute, government agency, corporate laboratory, or technology-related environment would be advantageous.
•             Familiarity with semiconductor technologies, advanced packaging, microelectronics, photonics, or related technology domains would be advantageous.
•             Self-motivated, resourceful, and able to work independently as well as collaboratively within a team.
•             Open to appointment on a fixed-term contract.

MediaTek Physical Verification team is looking for qualified candidate to be part of a team that define and enable physical sign-off flow and solutions for SOC design. The candidate will be enabling technology in advanced technology nodes.

Job Responsibilities:

• Co-work with PDK team to code and maintain DRC/LVS/ANT/ERC/LPE/ESD rule deck for various processes
• Develop layout implementation flow and physical verification flow
• Co-work with QA team to reduce the PDKs/Rule deck defects
• Perform full-chip physical verification such as debugging DRC/LVS/ERC
• Implement automation scripts in C-shell, Python and Perl

Requirements:

• Bachelor/Master’s Degree in Electrical / Electronics Engineering / Computer Science
• With a min. 8 years of relevant experience in IC Design Industry
• Familiar with IC Design front-to-backend flow
• Familiar with interposer design, TSV technology and chip stacking techniques such as CoWoS or EMIB with 2.5D and 3D ICs experiences. (Must have)
• Preferably well-versed in Calibre, ICV
• Proficient in script programming, such as, Tcl, Perl or C-shell
• Proficient in UNIX (Linux) platforms
• Strong communication skills, problem solving and analytical skills

Location: One North, Singapore

Key responsibilities

• Responsible for test and measurement businesses in the assigned territory.
• Formulate and implement market segments & territory sales plan to achieve growth targets.
• Derive and execute action plans to develop new markets and penetrate accounts.
• Establish strategic partnerships with government organizations, research institutions, universities, and key accounts.
• Coordinate with business units and marketing teams in new product launches and pursue opportunities in emerging technologies.
• Drive continuous improvement in the selling process such as planning, forecasting and productivity.
• Collaborate closely with cross-functional teams to deliver sales objectives.

Job Requirements

(education or experience and skills required to be able to perform this job)

• Degree in Electronic/Electrical Engineering or equivalent.
• Preferably 2-3 years of technical sales/application experience in the test and measurement industries.
• Highly-motivated and success-driven.
• Strong communication and interpersonal skills.
• Strong time management, problem-solving and analytical skills.
• Exercises strong initiatives, assumes ownership and ability to perform under significant pressure.
• Possess a valid driving license with own vehicle.
• Candidates in technical roles / Fresh Graduates with strong aptitude for sales are welcome to apply.

Key Responsibilities:

• Responsible for the performance, power consumption, and reliability testing and analysis of NAND memory products, and formulating test specifications and verification processes.
• Develop and maintain test equipment (ATE), including the definition and implementation of test modes such as BIST, DFT, and DFM, continuously improving test coverage and optimizing test time.
• Locate the causes of product failures after delivery and at the wafer stage through electrical failure analysis, design circuit analysis, physical failure analysis, and data analysis.
• Collaborate with the product design team and process team to identify the root causes of failures and drive the implementation of solutions.
• Support the testing and debugging of products in system-level applications (such as SSD, UFS, eMCP) to ensure efficient use by customers and the system side.
• Complete user manual verification, product test function verification, and participate in other test-related tasks assigned by the supervisor.

Required Qualifications:

1. Education and major: Master's degree or above in microelectronics, integrated circuits, electronic engineering, computer science, automation, physics, materials science, or other related STEM fields.

2. Experience requirements:

• Familiar with semiconductor product principles and testing mechanisms; background in memory (NOR/NAND Flash, SRAM, DRAM, phase-change memory, ferroelectric, etc.) testing or design verification is a plus.
• Experience in testing 3D-NAND, TLC/QLC, or flash memory products is a plus.
• Experience with successfully tape-out and mass-produced memory chip projects is a plus.

3. Technical skills:

• Proficient in C/C++, Python, Perl, etc., and familiar with UNIX/Linux environments.
• Experience in ATE (Automatic Test Equipment) development (e.g., T5830, T5833, Magnum V93K, etc.).
• Familiar with the functions, performance, and reliability indicators of memory products.
• Familiar with design-for-test (CFT), DFM, and other design-for-test (CFT) methodologies.

4. Other skills:

• Strong logical analysis, learning, and problem-solving abilities.
• Good communication, organizational, and teamwork skills.
• Proactive, steady, meticulous, responsible, and able to work under pressure.

Job Description

We are looking for a passionate and capable individual to work with flexible sensors, wearable technologies, and benchtop biochemical analytics.

1. Be familiar with electrochemistry and electrochemical detection/analytics, colorimetric assays, enzymatic reactions, and biochemistry.
2. Be familiar with, and regular/daily wet-lab processes, materials processing, sample preparation, and electrochemical device preparation.
3. Be familiar with device and materials characterisation, such as common electrochemical approaches (CV, amperometry, DPV, SWV, etc), impedance measurements, basic optical measurements, and standard microscopy.
4. Possess basic computational abilities such as python, basic AI skills, with a keen eye for automation.
5. Be highly motivated for intellectual output (problem solving, publications, IP and general knowledge creation), able to learn quick on the job, able to think outside the box for research and engineering solutions

Qualifications & Field of Study:

Bachelors in preferably biomedical engineering, or materials science and engineering; chemical or electronics engineering or related fields are also relevant.

1. Good understanding of sensing materials, conductive/semiconductive materials, electronic devices, electrochemical sensors, and their related device engineering/development and characterisation tools
2. Good with detailed hands-on work in wet lab, meticulous and attention to detail; good with characterisation measurements
3. Have sufficient computational knowledge and abilities to complement research, including basic programming language, basic AI skills, awareness of automation etc.
4. Basic awareness and knowledge of biosensors, wearables technology, healthcare/medtech landscape.

Other Requirements:

1. Strongly driven for intellectual output and knowledge creation
2. Resourcefulness in problem solving
3. Diligent and team player, work in multi-disciplinary environments.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

As a Senior IT Engineer , you will be responsible for managing and ensuring the stability, availability, and performance of the organization’s enterprise IT infrastructure, with a focus on systems, storage, backup, and disaster recovery operations.

• Manage and support enterprise IT infrastructure, including Windows/Linux servers and virtualization platforms (VMware / Hyper-V)
• Administer, configure, and maintain storage environments (SAN / NAS), including provisioning, monitoring, performance tuning, and capacity management
• Manage enterprise backup solutions such as Veeam, Commvault, or Veritas NetBackup
• Monitor backup jobs, investigate and resolve failures, and perform regular restore testing and recovery validation to ensure data integrity
• Support disaster recovery (DR) operations, including replication setup, failover/failback execution, and periodic DR drills/testing
• Ensure adherence to defined RPO (Recovery Point Objective) and RTO (Recovery Time Objective) targets, as well as data protection and compliance standards
• Perform proactive infrastructure monitoring, system health checks, patch management, and preventive maintenance activities
• Participate in incident management, troubleshoot infrastructure issues, and ensure timely resolution with minimal business impact
• Conduct root cause analysis (RCA) for major incidents and implement corrective and preventive actions (CAPA)
• Coordinate with internal IT teams, vendors, and external clients for support, escalation handling, and project implementation
• Maintain accurate and up-to-date technical documentation, operational runbooks, backup reports, and infrastructure records
• Support infrastructure optimization initiatives, including performance improvements, automation opportunities, and capacity planning
• Provide escalation support for complex technical issues beyond L2/L3 operational teams (Senior Engineer responsibility layer)

Job Summary

About the Role

The Institute of High Performance Computing (IHPC), A*STAR, is seeking a highly motivated Research Engineer to develop and deploy advanced AI systems that translate cutting-edge research into scalable real-world applications.

The successful candidate will work closely with research scientists to implement, optimize, and operationalize AI models across healthcare and biomedical domains. This role combines software engineering, machine learning, and systems engineering to bridge the gap between research and deployment.

Key Responsibilities

AI System Development

• Design, develop, and maintain machine learning and deep learning systems.
• Implement state-of-the-art AI algorithms from research prototypes into production-quality software.
• Build scalable data processing and model training pipelines.
• Develop multimodal AI systems integrating text, image, video, sensor, and structured data.
• Optimize model training, inference, and deployment workflows.

Research Translation

• Collaborate with AI researchers to translate novel algorithms into robust software solutions.
• Reproduce and benchmark research models.
• Develop reusable AI frameworks, libraries, and tools.
• Support experimentation, model evaluation, and performance optimization.

Software & Infrastructure Engineering

• Design scalable cloud and on-premise AI infrastructure.
• Develop APIs, backend services, and model-serving platforms.
• Implement automated testing, monitoring, and CI/CD pipelines.
• Support large-scale distributed training and inference systems.

Deployment & Integration

• Deploy AI solutions into healthcare, scientific, and enterprise environments.
• Integrate AI systems with operational workflows and external platforms.
• Develop monitoring tools for model performance and reliability.
• Support technology transfer and production deployment activities.

Requirements

Essential

• Bachelor's or Master's degree in Computer Science, Computer Engineering, Artificial Intelligence, Data Science, or related disciplines.
• Strong programming skills in Python.
• Experience with PyTorch, TensorFlow, or similar machine learning frameworks.
• Experience in software engineering best practices.
• Familiarity with Linux, Git, and software development workflows.
• Strong problem-solving and system design skills.

Preferred

• Experience with:Large Language ModelsMultimodal AIComputer VisionMLOps platformsCloud Computing (AWS, Azure, GCP)Containerization (Docker, Kubernetes)Distributed ComputingGPU Computing

What We Offer

• Opportunity to work on cutting-edge AI technologies with real-world impact.
• Access to world-class computational infrastructure and research facilities.
• Collaboration with leading researchers, clinicians, scientists, and industry partners.
• A dynamic environment supporting innovation, learning, and career growth.

About the Team:

As part of the Search, Recommendation, Ads (Engineering & Architecture) team, We build and operate the search engine that powers retrieval and ranking across the company. The system is built on Vespa (a ~1.7M-line C++/Java codebase) and runs at scale across hundreds of nodes. Our work spans the full stack: cluster orchestration, HNSW-based vector indexing, rank expression evaluation, capacity planning, and the developer tooling that keeps all of it shippable. We care a lot about correctness, latency tails, and operational simplicity.

Job Description:

• Design, implement, and operate components of the search engine — indexing, query execution, ranking, or storage using C++

• Improve indexing and retrieval performance: SIMD-friendly data layouts, cache-aware algorithms, lock contention

• Extend vector search capabilities (HNSW and beyond) and integrate them cleanly with traditional inverted-index retrieval

• Build tooling and automation that makes the team faster — capacity models, fault-injection tests, deployment checks, AI-assisted workflows

• Participate in design reviews, code reviews, and on-call rotation

Job Requirements:

• Bachelor's Degree or higher in Computer Science or related field

• At least 5 years of full time backend development experience using C++/Go/Python

• Experience working on Vespa Search Engine is preferred

• Familiarity with vector search and ANN algorithms (HNSW, IVF, PQ).

• Solid foundation in data structures, algorithms, and systems. You can reason about cache behavior, memory layout, and concurrency..

• Experience operating non-trivial services in production: profiling, debugging core dumps, reading flamegraphs, tracing distributed requests.

• Comfortable working in a large existing codebase. 

• Strong written communication. You write design docs and PR descriptions that the next on-call can actually use.