Total 495 process development engineer job vacancies in George Town

What you'll be doing:

• Performance Profiling & Optimization: Utilize profiling tools (e.g., Nsight, PyTorch Profiler) to identify bottlenecks in data loading, gradient computation, and communication. Implement optimizations like kernel fusion, sharding, and tiling to improve step time.
• Distributed Training: Optimize distributed training pipelines using frameworks such as PyTorch Distributed.
• Kernel Development: Design and maintain high-performance GPU kernels in Triton or CUDA for state-of-the-art ML workloads.
• Data Pipeline Engineering: Optimize robust data loading pipelines that maximize training throughput.
  

What we're looking for:

• Education: Bachelor’s, Master’s degree, or PhD in Computer Science, Computer Engineering, or a related technical discipline.
• Software Engineering: Strong proficiency in Python.
• ML Frameworks: Extensive hands-on experience with PyTorch.
• ML Knowledge: Experience optimizing machine learning model execution during training and inference, alongside a strong understanding of fundamental machine learning concepts, architectures, and processes.
• Problem Solving: Exceptional analytical and problem-solving skills, with a bias for action and a data-driven approach to technical challenges.

Job responsibilities:

• Understand and interpret project specifications, philosophies, and drawings
• Perform the tasks in a project, as assigned by the lead or senior engineer.
• Carry out structural analysis and calculations using standard technical software packages like Staad.Pro and SACS as directed by the Lead or Senior Engineers.
• Perform Local design calculations (like design of deck plate, secondary beams / stringers, design of joint nodes and equipment support structures, etc.) using spreadsheets in Mathcad or Excel
• Prepare of Structural Design Input (SDI) for 3D Modelling
• Develop/update of tools such as spreadsheets for performing routine Structural Engineering calculations
• Review of the 3D model and Checking of Structural Drawings
• Develop / Update Structural Calculation Reports
• Collaborate closely with other Engineering disciplines to provide and receive inputs, for further engineering activities.
• Work closely with team members across disciplines within the organization to have a better understanding of processes and systems in the Company.
• Perform interdisciplinary checks on documents and drawings.
• Attend project meetings and actively participate in technical discussions
• Produce work packages for installation.
• Ensure that work is carried out in accordance with the specified QHSE requirements.
• Maintain a positive and safe working environment at work location.
• Comply strictly with Company’s code of conduct and always ensure ethical behaviour.
• Take ownership of your career by continually upgrading the competence level.

Work experience requirements:

• NA

Qualifications:

• Degree in Civil or Structural Engineering

Other skills:

• Strong analytical skills, systematic and structured approach
• Self-motivated, willingness to learn new skills and tools.
• Ability to communicate openly and directly.
• Ability to demonstrate responsibility and reliability.
• Excellent written, verbal and presentation skills
• Ability and willingness to work in a team environment to achieve project goals
• Computer Literacy in Microsoft Office

We regret that only shortlisted candidates will be notified.

Job Description:

• New business development and existing customer management in hospitality, logistics, commercial building sectors
• Key account management for strategic clients as assigned by supervisor.
• Build and strengthen good relationships with clients, prospects, and associations
• Coordination of regional / global contracts
• Provide market information and participate in direct marketing strategy / planning
• Attend to clients' enquiries as well as to manage and resolve issues and complaints
• Do tele-sales when required and assist the other sales teams in identifying the contacts and leads when required
• Preparation of brochures and track records
• Weekly reporting on sales activities
• Update visual presentation materials
• Preparation and coordination of seminars for the business
• Perform other duties as assigned by direct superior from time to time

Job Requirements:

• Diploma/Degree in Engineering, Business, or related fields.
• Experience in hospitality, logistics, commercial building sectors
• At least 2 years of experience in sales, customer service, or technical support 
• Basic understanding of inspection services is an advantage
• Strong communication skills, customer-focused attitude, and willingness to learn.
• Ability to multitask and manage deadlines

Technical Sales Engineer - Battery Expert

• Office Location: Clementi Area
• Working Hours: Mon – Fri 8.30am – 6pm
• Monthly Salary: Base up to $3400 + Allowance + Commission + Variable Bonus (VB)
• Employment Type: Full time, Permanent Contract

Company Overview
The company is a well‑established Singapore‑based organization with a strong presence in both local and international markets. Recognized for the company’s commitment to quality, reliability, and innovation, the company provide effective solutions and services to a diverse range of clients across industries.

Responsibility

• Drive sales growth by achieving profitability targets and expanding distribution channels.
• Prepare quotations, proposals, and manage sales administration with accuracy and efficiency.
• Troubleshoot and resolve technical issues related to industrial batteries to ensure reliable product performance.
• Collaborate with the logistics team to coordinate timely deliveries and maintain high standards of customer satisfaction.

Requirement

• Minimum Diploma in Electrical/ Electronics/ Mechanical Engineering and recognized by relevant authority
• Minimum 3 year of proven relevant sales experience in Battery manufacturers or distributors/ AWP or MEWP rental companies/ Generator or power rental companies/ Industrial equipment rental or solution providers
• Strong interpersonal and communication skills
• Access to own/rent a personal vehicle for work-related travel
• Candidate who can start immediately or within short notice will be preferred

We regret to inform you that only shortlisted applicants will be notified.
Recruit Lync Pte Ltd | EA License Number: 22C1000
Chen Hoe Nam | EA Personnel License: R25158678

We are seeking a highly driven Business Operations & Programme Development Executive to support the growth and operational excellence of our martial arts academy. This role combines programme development, student experience management, and business operations, requiring both strategic thinking and hands-on execution.

Key Responsibilities

1. Programme Development & Curriculum Support

• Assist in developing structured training programmes aligned with international Taekwondo standards
• Work closely with senior instructors to refine class flow, student progression, and engagement strategies
• Support implementation of specialised programmes (e.g. competition training, early childhood classes, fitness-based martial arts)

2. Student Experience & Retention Strategy

• Monitor student progress and engagement across different branches
• Identify gaps in student retention and propose improvements
• Coordinate trial classes and onboarding experience to improve conversion rates

3. Business Operations & Process Optimisation

• Streamline internal workflows (scheduling, attendance tracking, grading coordination)
• Support branch operations and ensure consistency in service delivery
• Assist management in implementing new systems and SOPs across locations

4. Marketing & Growth Support

• Work with the team to execute marketing campaigns (events, partnerships, promotions)
• Analyse customer feedback and market trends to support business growth
• Assist in positioning the academy as a premium, high-performance training centre

5. Events & Partnerships

• Coordinate competitions, workshops, and external collaborations
• Liaise with partners, vendors, and stakeholders for events and programmes

Requirements

• Diploma/Degree in Business, Sports Management, or related field
• Experience in operations, programme coordination, or education/sports industry preferred
• Strong organisational and problem-solving skills
• Ability to manage multiple projects in a fast-paced environment
• Passion for youth development, sports, or martial arts is a strong advantage

Why Join Us

• Opportunity to be part of a growing academy with international exposure
• Work alongside experienced coaches and industry professionals
• Involvement in programme development and strategic growth

Position Overview:

In this role, you will be the cornerstone of our hardware team, defining the micro-architecture and executingthe RTL implementation for our next-gen AI engines. You will tackle the industry's toughest challenges: balancing massive throughput with ultra-low latency. You will lead the design of complex datapaths, integrate RISC-Vsubsystems, and push the limits of PPA to deliver world-class silicon.

Responsibilities:

• Architectural Leadership: Translate high-level AI algorithms into robust micro-architecture specifications for high-performance compute engines.
• Core Design: Own the RTL implementation of critical modules, focusing on low-latency and high-throughput datapath optimization.
• Advanced Compute Units: Design and optimize high-efficiency ALU and specialized arithmetic units tailored for AI workloads.
• PPA Mastery: Drive the design through synthesis and timing closure, ensuring the silicon meets aggressive power and area targets.
• Technical Mentorship: Work closely with architecture and software teams to define the hardware-software interface and mentor junior engineers.

Qualifications / Requirements:

• Education: BS/MS/PhD in EE, CS, or related field with 10+ years of deep experience in ASIC Design and successful tape-outs.
• #Mastery of SystemVerilog/Verilog and a proven track record of designing complex, high-frequency digital logic. 
• Extensive experience in Datapath optimization, including pipeline balancing and advanced handshaking protocols.
• Expert knowledge of high-performance bus protocols and interconnect architectures. Proficiency in scripting (Python, Perl, or C/C++) for automation and modeling.

Preferred Skills:

• GPU/ALU Pedigree: Prior experience in designing GPU shaders, execution units (EUs), or high-performance ALUs. we value your expertise in complex arithmetic pipelines.
• RISC-V Expertise: Deep familiarity with RISC-V cores, custom instruction extensions, or vector processors.
• Leadership DNA: Proven experience as a Technical Lead, with the ability to build and inspire high-performing engineering teams.

Job description

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Additional job description

Enterprise Data Protection (EDP) is focused on protecting Google from exfiltration of intellectual property. 

In this role, you will work on an engineering team that builds software systems that implement an array of security controls to prevent accidental or malicious data exfiltration. This will include threats that originate from human or autonomous AI agentic actions. You will lead large parts of the systems involved, independently designing and guiding other engineers on implementation. You will be a critical part of creating a culture of engineering excellence in the team. You will work with cross-functional stakeholders across geo locales.

Qualifications

Job responsibilities

• Implement holistic, next generation security controls that are context aware across all Google systems storing intellectual property.
• Work with Security Engineers, Product Managers, Technical Program Managers, and partner teams to implement preventive data exfiltration controls.
• Lead other engineers on designing and building controls for systems, including workspace, chrome, bug manager, corporate endpoints, and access management.
• Lead the engineering effort to design and implement automatic AI-based classification systems, ensuring controls are effective against threats from agentic AI.
• Help onboard other engineers and foster a culture of engineering excellence across the team.
  

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience with full stack development, across back-end such as Java, Python, Golang, C++ or equivalent codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.
• Experience with designing and operating large-scale distributed systems.
  

Preferred qualifications

• Master's degree or PhD in Computer Science or a related technical field.
• Experience in AI-driven large-scale data reasoning and inference processes.
• Experience in AI, specifically in agentic software engineering.
• Proven track record of supervising teams of 4-5 engineers, providing direct coaching and professional mentorship.
• Familiarity with cybersecurity solutions and related product landscapes.
• Ability to integrate rapidly into new team environments while facilitating the onboarding of fellow engineers.

Product area

Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.

Job description

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Additional job description

In this role, you will be advancing fundamental capabilities of AI to drive significant benefits to humanity. You will pioneer AI research in Singapore, focused on delivering the most performant, efficient and capable generative AI models.

Qualifications

Job responsibilities

• Abstract out key problems, design elegant and deep solutions for these problems through theoretical or empirical insights.
• Prototype, profile and benchmark solutions to showcase effectiveness.
• Lead and collaborate with research teams located across the globe.
• Drive and grow collaborations with product teams to land product innovations.
• Collaborate with hardware architects/infrastructure teams to inform design and algorithm decisions.
  

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.
• 1 year of experience with software programming in Python or C++.
• 1 year of experience with data structures and algorithms.
• 1 year of experience implementing core Machine Learning (ML) concepts.

Preferred qualifications

• Master's degree or PhD in Computer Science, or a related technical field.
• Experience in a university or industry labs, with emphasis on AI research.
• Experience developing accessible technologies.
• Understanding of transformer architecture internals.
• One or more AI/ML research publication in peer reviewed research conference.

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.
The Role

We are seeking a hands-on Machine Learning Engineer Intern to join our Model Engineering Team with a focus on Computer Vision and modern AI. This role is designed for builders who are passionate about training deep learning models, refining architectures, and scaling real-world vision systems.

You will work closely with experienced engineers on production-grade models, ranging from standard object detectors to cutting-edge zero-shot and open-vocabulary architectures. This is an ideal role for those who enjoy running experiments, analysing model behaviour, and driving measurable performance improvements.

What You’ll Do

• Model Training & Fine-Tuning: Train, evaluate, and improve deep learning models across a variety of tasks, including classification, object detection, segmentation, and action recognition.
• Architecture & AI Exploration: Research and experiment with CNNs, Transformers, and Foundation Models. You will explore the integration of modern AI to enhance open-vocabulary detection and zero-shot capabilities.
• Failure Analysis & Data Refinement: Debug model failures (false positives/negatives) and implement solutions through targeted data annotation, cleaning, or improved inference strategies to ensure model robustness.
• Data & ML Engineering: Manage large-scale datasets, including preprocessing and versioning, to ensure high-fidelity and reproducible experiments.
• Pipeline Automation: Contribute to the development and optimization of automated training and evaluation pipelines to improve reliability and deployment efficiency.

Who This Role Is For

• Builders: You prefer hands-on engineering and practical implementation over purely theoretical research.
• Experimenters: You enjoy the iterative process of testing different architectures, hyperparameters, and datasets to maximize performance.
• Problem Solvers: You are curious about root causes and enjoy the "detective work" required for model debugging and data-driven improvements.
• Pragmatists: You are excited to see your models and automated systems successfully deployed in real-world production environments.

Requirements

• Pursuing or completed a degree in Computer Science, AI, Machine Learning, or a related technical field.
• Strong interest in deep learning model training, experimentation, and data-centric AI.
• Proficiency in Python and experience with PyTorch or TensorFlow.
• Competency in a Linux environment (SSH, shell scripting, and CLI-based file management).

Bonus Points

• Hands-on Experience: Previous work with specialized CV frameworks or comparing multiple architectures.
• Modern AI Knowledge: Familiarity with vision-language models or zero-shot detection.
• MLOps Tools: Experience with Git, Docker, or experiment tracking tools (e.g., Weights & Biases, MLflow).
• Video Processing: Knowledge of OpenCV, FFmpeg, or handling video streams.

Internship Details

• Duration: Minimum 6 months (flexible).
• Commitment: 4–5 days per week.
• Location: Singapore-based

Note: Kindly note that only shortlisted candidates will be notified.

Established in 2011 in a joint effort by the Maritime and Port Authority (MPA), the Agency for Science, Technology and Research (A*STAR) and the Singapore Economic Development Board (EDB), SMI develops strategies and programmes to achieve its mission with key focus areas in sectors such as port, shipping and maritime services. SMI charts the maritime research strategy and promotes greater industry-academia R&D collaborations to be undertaken in Singapore.

Roles and responsibilities

We are seeking for a Senior Manager, to be part of our R&D team, to strive towards our Mission in establishing Singapore as a leading global maritime research centre of excellence in Next Generation Port, Smart Shipping, and Green Technologies.

You will support the Deputy Executive Director and work with a team of R&D managers to strengthen R&D collaborations between our maritime industry and academia partners.

What you will be working on:

The key responsibilities will include:

Strategy Planning

· Map out latest developments and carry out gap analyses in science and technologies relevant to maritime domain, and identify new emerging areas for Singapore’s maritime strategic interests;

· Develop strategies, initiatives and programmes for the translation, deployment, commercialisation, and internationalisation of maritime R&D through engaging government agencies, Institutes of Higher Learning (IHLs), Research Institutes (RIs), maritime companies and other relevant stakeholders

Initiatives and Programmes

· Plan and implement R&D programs and initiatives;

· Evaluate R&D proposals submitted or led by IHLs/RIs;

· Oversee and manage performances of maritime Centres of Excellence and Programme Partners;

· Manage awarded projects and budgets, including variations to budget/ project duration/ project-lead, collation of reports, and review of completed projects.

Engagement

· Engage potential overseas IHLs/RIs to identify synergies, coordinate maritime R&D collaborations, and facilitate multilateral R&D engagements for impactful joint initiatives.

· Engage companies in the maritime industry to understand their technology and business needs, partnering with key stakeholders to showcase local R&D capabilities, and facilitating research opportunities by harmonizing industry needs with local R&D capabilities;

· Drive partnerships between the research ecosystem and industry, and to catalyse technology commercialisation, focusing on industry collaboration projects and translation platforms in the maritime domain

· Plan and organise engagement visits to project partners

Other Duties:

· Oversee R&D processes to ensure compliance with established funding policies and procedures;

· Manage internal R&D capability development and resourcing;

· Represent SMI in R&D matters, when required or any other ad hoc duties assigned.

Qualification and Experience

a. Background in science and engineering fields with 5 years of relevant working experience, of which 3 years are in supervisory and developmental capacity;

b. Experience in R&D strategy formulation, technology fore-sighting / road mapping, technology translation, and/or good working knowledge of the R&D landscape in Singapore.

c. Experience with grant governance and administration e.g. funding guidelines or compliance requirements;

d. Strong interest in applied science and technology R&D and research community engagement;

Skills

a. Proficient in Microsoft Office and grant management software (e.g. Oracle Netsuite);

b. Good analytical skills, with an ability to take a strategic perspective when formulating proposals and recommendations;

c. Excellent interpersonal, communication and presentation skills for effective engagement of senior stakeholders, partner agencies, IHLs/RIs and companies;

Proven planning and organisational abilities.

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-Fellow-%28Living-Materials-Design-and-Development%29/26872-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

•    The Research Fellow will work closely with the Principal Investigator, Dr. LIN Yiliang, on the research project of bio-interface design between living systems and materials for healthcare and sustainable applications.
•    The Research Fellow will help to develop living materials system integrating functional hydrogels with microorganisms, perform material characterization, and investigate the real-world applications.

Job Requirements

•    A PhD degree in a relevant area, e.g., Chemical Engineering, Material Science and Engineering, Chemistry, Biomedical Engineering;
•    Good publication record;
•    Experienced bio-interface design, construction of living materials, materials characterization, and cell culture.
•    Any experience with 1) animal experiments, 2) advanced characterization techniques, and 3) soft matter mechanics and physics, is a plus
•    This position is available from Jan 2025

Product area

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

 Job description

The High Touch Support team focuses on solutions and customer-centric supportability and helps to avoid issues, build customer trust, and enable customer's growth and success on Google Cloud Platform (GCP). 

In this role, you will be a part of a global team that provides support to help customers make the switch to Google Cloud. You will provide a dedicated service to the customers, aiming to anticipate their needs, optimize product performance, and enable customer success. You will troubleshoot technical problems for customers with debugging, networking, system administration, updating documentation, and coding/scripting. You will make the products easier to adopt and use by making improvements to the product, tools, processes and documentation.

Qualifications

Job responsibilities

• Work with customers on their production deployments to resolve issues and achieve product readiness, availability, and scale.
• Develop an in-depth understanding of Google Cloud's product technology and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer-reported issues, building tools, and faster diagnosis.
• Act as a consultant and subject matter expert for internal stakeholders in engineering, sales, customer organizations to resolve technical deployment obstacles and improve Google Cloud.
• Understand customer issues, advocate for their needs with internal teams, including Product and Engineering teams, to find ways to improve the product, and drive production.
• Participate in rotating on-call schedules including during nights, weekends and holidays, to ensure prompt and proper resolution of customer-impacting technical challenges, as well as travel up to 15% in-region for meetings and onsite delivery activities as needed.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 3 years of experience troubleshooting and advocating for customers' needs, triaging technical issues, or software development.
• Experience creating content for technical audiences, and with web technologies (e.g., HTTP, HTML, DNS, TCP, etc.).
• Experience writing, reading, and debugging code in Java, C, C++, Python, or Go, including working with distributed systems, solutions, design patterns, or best practices.
• Ability to communicate in English and Mandarin fluently to support client relationship management in this region.

Preferred qualifications

• Experience working with any public cloud services and infrastructure (e.g., Google Cloud Platform).
• Experience developing developer tools (e.g., automation, testing, debugging).
• Experience with cloud computing and debugging complex workload issues across large-scale, multi-node environments.
• Experience as a system/network administrator working with Linux/Unix systems, from kernel to shell, file systems, and client-server protocols.
• Experience in crisis response or escalation management across multiple teams, with the ability to influence momentum of incident response for critical customer issues.
• Experience with one or more of the following solutions: system virtualization, on-premise or hybrid cloud computing.

Product area

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

 Job description

The High Touch Support team focuses on solutions and customer-centric supportability and helps to avoid issues, build customer trust, and enable customer's growth and success on Google Cloud Platform (GCP). 

In this role, you will be a part of a global team that provides support to help customers make the switch to Google Cloud. You will provide a dedicated service to the customers, aiming to anticipate their needs, optimize product performance, and enable customer success. You will troubleshoot technical problems for customers with debugging, networking, system administration, updating documentation, and coding/scripting. You will make the products easier to adopt and use by making improvements to the product, tools, processes and documentation.

Qualifications

Job responsibilities

• Work with customers on their production deployments to resolve issues and achieve product readiness and availability.
• Develop an understanding of Google Cloud's product technology and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer-reported issues, build tools, and diagnosis.
• Serve as a consultant and subject-matter-expert for internal stakeholders in engineering, sales, and customer organizations to resolve technical deployment obstacles and improve Google Cloud.
• Understand customer issues, advocate for their needs with internal teams, including Product and Engineering teams, to find ways to improve the product, and drive production.
• Participate in rotating on-call schedules including during nights, weekends and holidays, to ensure prompt and proper resolution of customer-impacting technical challenges, as well as travel up to 15% in-region for meetings and onsite delivery activities as needed.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 3 years of experience troubleshooting and advocating for customers' needs, triaging technical issues, or software development.
• Experience writing, reading, and debugging code in Java, C, C++, Python, or Go, including working with distributed systems, solutions, design patterns, or best practices.
• Experience creating content for technical audiences, and with web technologies (e.g., HTTP, HTML, DNS, TCP, etc.).
• Ability to participate in on-call rotation, including non-standard working hours, nights, weekends and holidays.
• Ability to communicate in English and Mandarin to support client relationship management in this region.

Preferred qualifications

• Experience using techniques such as packet capture/packet analysis, artificial packet creation, load testing, and traffic path analysis to troubleshoot network latency, packet loss, and other performance issues at the packet level.
• Experience in developing developer tools (e.g., automation, testing, debugging).
• Experience working with any public cloud service and infrastructure.
• Experience in crisis response or escalation management across multiple teams, with the ability to influence momentum of incident response for critical customer issues.
• Knowledge of networking fundamentals (e.g., load balancing, cloud storage, peering, TCP/IP, etc.).
• Knowledge of Linux or Unix systems at a system/network administrator level.

Job Description

We are seeking a highly skilled Middleware SystemsEngineer to play a pivotal role in modernizing and standardizing our supplychain technology stack. You will be responsible for designing, implementing,and maintaining middleware solutions that facilitate seamless communication anddata exchange between:

● MiddlewareArchitecture: Support the designing andimplementation of a robust and scalable middleware architecture that addressesthe challenges of fragmented systems, integration issues, and legacyinfrastructure.

● SystemIntegration: Develop and manageintegrations between WMS, SAP, TMS, DBP, WES, and other relevant systems toensure efficient data flow and process automation.

● MessageExchange: Enablereliable and secure message exchanges between systems using appropriatemessaging protocols and technologies.

● Collaboration: Workclosely with the business units and project managers, IT team, external vendorsand other stakeholders to gather requirements, design solutions, and ensuresuccessful implementation.

● Monitoringand Troubleshooting: Implementmonitoring and logging mechanisms to proactively identify and resolve issues.

● PerformanceOptimization: Continuously optimizethe performance and scalability of the middleware infrastructure.

● TechnologyEvaluation: Stay abreast ofemerging middleware technologies and evaluate their potential for improving oursupply chain operations.

● ProfessionalInsight: Providetechnical advice to project managers/leaders and give technical direction toteam members.

JOB REQUIREMENTS

● Bachelor'sor Master's degree in Computer Science, Engineering, or a related field.

● 5-7years of experience in middleware systems engineering or a similar role.

● CertifiedMulesoft or equivalent middleware tools.

● Strongunderstanding of middleware concepts, integration patterns, and messagingprotocols.

● Hands-onexperience with middleware platforms such as MuleSoft, Apache Kafka,Boomi, orsimilar.

● Experiencewith Grocery and supply chain platforms like ERP, WMS, is a plus.

● Excellentproblem-solving and analytical skills.

● Abilityto work independently and as part of a team.

● Strongcommunication and interpersonal skills.

Benefits:

● Opportunityto work on challenging and impactful projects.

● Adynamic and collaborative work environment.

● Opportunitiesfor professional growth and development.

Job Description

The National Quantum Federated Foundry (NQFF) is seeking a research engineer to join a multidisciplinary team developing essential quantum hardware and device components. The candidate will join our efforts spanning multiple quantum technology platforms ranging from trapped ions to integrated photonics and superconducting devices.

About the role

You will be embedded in a team of research scientists and engineers, contributing hands-on to the development and characterisation of quantum hardware. Based on your strengths and experience, your work will be shaped around one or more of the following focus areas:

• Device Fabrication & Engineering — Perform device fabrication and support the development and optimisation of the processes: this may include cleanroom-based nanofabrication work, electrical assembly (wirebonding, soldering, etc), and prototyping (machining, 3D printing, etc).
• Optical & Photonics Engineering — Perform optical & electrical characterization of photonics devices; construct and maintain optical measurement setups for device testing; data analysis and feedback towards improved device designs.
• Cryogenic Systems & Measurements — Set up, operate, and maintain cryogenic systems (incl. dilution refrigerators, cryostats); integrate and test quantum devices at (down to) millikelvin temperatures; develop automated testing workflows, acquire and analyse experimental data.

What we’re looking for:

• Bachelor’s degree in physics, applied physics, electrical engineering, material science & engineering, mechanical engineering, or a related discipline.
• Hands-on laboratory experience relevant to one or more of the focus areas above
• Familiarity with experimental data acquisition, analysis, and presentation
• Strong communication skills and a collaborative working style

Experience in any of the following would set you apart:

• Optical setups and laser systems
• Electrical/RF electronics and associated test equipment
• Cleanroom nanofabrication
• Mechanical design with CAD software
• Programming (especially in Python) lab equipment for testing automation

About NQFF:

The National Quantum Federated Foundry (NQFF) is a national quantum programme supporting Singapore's quantum R&D ecosystem and industry partners. Functioning as a research foundry, NQFF covers the full device development cycle — from design to fabrication and characterisation — with the goal of translating next-generation quantum devices towards real-world applications.

NQFF is hosted at A*STAR IMRE, with teams operating across A*STAR IME and the National University of Singapore (NUS).

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.