Total 109 Engineering job vacancies

Job Overview

We are a Semiconductor Equipment company.

These high precision machines are built, tuned and tested in house before shipping out.

You are responsible for the beginning (Preparation) & ending (Pre-Shipment) stages.

You will get to learn more on Windows OS, IPC, motor controllers, drivers, barcode scanners, vision camera and more.

Responsibility and Duties

Preparation:

• Prepare the software driver & application versions required in a PC; which is the heart of the machine.

• Once a system is firstly power up, configure its controllers & Drivers.

• Check through all the Inputs/Outputs, correspond to sensors & actuators.

• Check through all the motor axes, perform necessary tunning.

• Able to troubleshoot on the component level.

Pre-Shipment:

• Backup machine data.

• Perform antivirus scanning.

• Update setup procedures & user manual, if changes were made.

Skill Requirement

• Diploma or Degree in Electrical / Electronics / Computer Engineering or its equivalent ( students on vacation or students looking for a creditable internship to apply)

• Programming experience in dotnet C# is a plus.

• Good hands-on knowledge and interest in self improving job knowledge.

·      5 Work Days, 8.30am-5.30pm / 9am-6pm

·      Office Near to Kaki Bukit MRT, Singapore

·      Medical Benefits Provided

·      Entitled to Yearly Bonus & Performance Bonus

Responsibilities ( Site Reliability Engineer | SRE Engineer)

High Availability and Stability Maintenance of Application Systems:

• Includes daily monitoring, alert response, emergency handling, on-call duties, regular system health checks, and performance optimization.

Compliance and Secure Access Construction for Application Systems:

• Ensure operational design, processes, and data management comply with relevant privacy and data protection laws.
• Ensure compliance with full auditing and regulatory checks and provide auditing materials as required.

Change and Release Management:

• Best practices for application system changes, including change control, version management, and rollback strategies, while ensuring operational duties during release windows.

Automation and Infrastructure Optimization:

• Drive operational automation by designing and implementing automated tools and processes, ensuring resource allocation is optimized and supporting business scalability.

Other Operational Practices and Work Arrangements:

• Providefeedback and suggestions for business architecture design and continuously produce operational technical documentation.

Qualifications

1. Bachelor’s Degree or above; a degree in computer science or a related field is preferred.
2. At least 2 years of experience in cloud services products and application operations.
3. Familiar with cloud platform deployment and management (AWS, Azure, Google Cloud, etc.).
4. Experience with automation operations and container technologies (Docker, Kubernetes).
5. Familiarity with CI / CD processes and tools (e.g Jenkins, GitLab CI).

Reolink, a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions.

Our Products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe.

Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most.

• 5 Work Days, 8.30am-5.30pm / 9am-6pm 

• Office Near to Kaki Bukit MRT, Singapore 

• Medical Benefits Provided 

  Entitled to Yearly Bonus & Performance Bonus 
  

Job Requirements: 

1. Preferable Master's Degree in Computer Science, Applied Mathematics, Electrical Engineering, Pattern Recognition, Artificial Intelligence, Automatic Control, Operations Research, Biology, Physics / Quantum Computing, Neuroscience, Statistics or a related field. 

2. Familiar with common machine learning and deep learning algorithms and keeping track with the latest SOTA implementations. 

3. Strong programming skill in Python, C / C++, proficient in mathematical / statistical concepts and exceptional coding skills 

4. Hands-on experience with AI / ML frameworks be familiar such as Caffe, PyTorch, TensorFlow, MxNet etc. 

5. Have rich project experience in machine learning and deep learning, be familiar with common algorithm models, such as CNN, RNN, LSTM, Transformer, ViT, etc., and be able to improve and innovate models according to actual problems. 

6. Experience in familiar the design, parameter tuning and optimization methods of neural network models is a plus 

7. Experience in model compression and in the transplantation and optimization of deep learning forward inference on various platforms, including NPU / GPU / DSP / ARM on mobile platforms and CPU / GPU on server platforms is also a plus. 

8. Strong logical thinking and problem-solving ability, able to independently undertake the research and tackling of complex problems and team spirit are highly valued traits. 

Job Responsibilities: 

• Algorithm Development: Development and optimization of machine learning and deep learning algorithms to solve complex business problems. 

• Model Training and Evaluation: Participate in the construction and training of artificial intelligence models, including but not limited to neural networks, decision trees, etc., evaluate and optimize the models to improve their performance and accuracy. 

• Data Analysis and Preprocessing: Conduct data collection, cleaning, preprocessing and feature engineering, provide high-quality data for model training, and arrange and guide data labelers to carry out data labeling and other work. 

• Collaboration and Deployment: Collaborate with team members to integrate algorithm models into actual business systems, promote the implementation of projects, and realize the intelligent upgrading of products. 

• Research and Innovations: Stay up to date with the latest advancements in AI and ML technologies. Explore and deploy new technologies, drive innovations to create value to market needs, and enhance the company’s competitiveness. Audio and video algorithms for surveillance/monitoring applications which also include the research and implementation of algorithms involving target detection, feature extraction, tracking, and recognition. 

• Documentation and Reporting: Maintain comprehensive documentation of algorithms, experiments, and project workflows. Communicate results and findings to technical and non-technical stakeholders. 

Reolink, a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. 

Our Products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. 

Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. 

·      5 Work Days, 8.30am-5.30pm / 9am-6pm

·      Office Near to Kaki Bukit MRT, Singapore

·      Medical Benefits Provided

·      Entitled to Yearly Bonus & Performance Bonus

Job Responsibilities (Senior / Backend Engineer)

Design & Development

• Take ownership of the design, development, refactoring, and performance optimization of core system components, delivering high-quality and maintainable code.

Technical Innovation & Problem-Solving

• Research, design, and implement innovative solutions to address complex business and technical problems, particularly in high-concurrency scenarios.

System Architecture

• Contribute to system architecture decisions, focusing on scalability, high availability, and fault tolerance.

Full-Lifecycle Participation

• Actively participate in the entire software development lifecycle, from requirements analysis and system design to testing, deployment, and operational monitoring.

Collaboration & Knowledge Sharing

• Work effectively with local and regional team members, as well as business unit partners.
• Share knowledge, promote best practices, and help elevate the team's overall technical capabilities.

Job Requirements

1. Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical discipline
2. 3+ years of relevant software development experience.
3. Strong understanding of computer science fundamentals (operating systems, network principles, data structures, and algorithms)
4. Programming Languages: High proficiency in Java (including JVM internals and performance tuning) or Node.js (including its event-driven architecture and asynchronous programming model). Proficiency in both is a significant plus.
5. Frameworks & Middleware: Proficient with common open-source frameworks and tools such as Kafka, RocketMQ, Dubbo, Zookeeper, and Redis.
6. Deep knowledge of MySQL, including schema design, SQL optimization, and database scaling strategies.
7. System Experience: Proven, hands-on experience in building, deploying, and maintaining high-concurrency, high-performance, and high-availability systems.

Reolink, a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions.

Our products are now trusted by millions of users acrossmore than 110 countries and regions worldwide. Building on this trust, wecontinue expanding our presence and bringing our innovations to more markets around the globe. 

Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most.

*For Singapore Applicants Only: PC Partner Technology Pte Limited will be prioritising applicants who have a current right to work in Singapore, and do not require PC Partner Technology Pte Limited's sponsorship of a visa.

Overview

PC Partner is a leading manufacturer of computer electronics. Our key products are video graphics cards, motherboards and mini-PCs. We are also offering one-stop electronic manufacturing services to reputable brands all over the world. As one of the leaders in the industry, we leverage our extraordinary research and development capabilities and state-of-the-art production facilities to constantly bring new product ideas and leading-edge innovations to the market. We endeavour to stay ahead of the industry to ensure success and competitiveness in serving the needs of our customers.

Position Summary

We are building a team of AI Engineers to drive the design and deployment of advanced AI solutions. The role involves selecting and implementing optimal AI models, as well as building data engineering pipelines to support machine learning model training, evaluation and deployment. You will collaborate closely with cross-functional teams to innovate, execute and deliver AI technologies, ensuring project success through strong technical expertise, effective teamwork and clear communication.

Key Responsibilities

• Collaborate with cross-functional teams to define technical specifications for AI-driven software solutions.

• Build and maintain robust, scalable data pipelines to support machine learning and AI model training.

• Design and manage data architectures that enable efficient and reliable AI workflows.

• Prepare, clean, and integrate large datasets; design and implement vector databases to support training and inference of machine learning models.

• Design and develop AI models and APIs, integrating them seamlessly into both application software and embedded hardware systems.

• Review codes developed by team members, driving continuous improvement of AI models through algorithm refinement, code optimisation, and stakeholder feedback.

• Develop comprehensive test cases; conduct rigorous testing, debugging and bug fixing to ensure high quality, performance and system reliability.

• Train, evaluate and fine-tune machine learning models to achieve optimal efficiency and low latency.

• Implement MLOps best practices to manage the end-to-end software and machine learning lifecycle, including version control, CI/CD pipelines, and documentation.

• Collaborate with project leaders to plan, execute, monitor, and deliver multiple projects using Agile methodologies.

• Work closely with project teams to deploy machine learning models into production environments and support post-deployment operations.

• Analyse data to extract meaningful insights and present results to stakeholders to support product and business decisions.

• Conduct research and collaborate with external stakeholders to stay up to date with the latest AI technologies and industry standards, continuously enhancing development and evaluation processes.
  

Requirements

• Min. Degree in Computer Science, Computer Engineering, Data Science, Artificial Intelligence or related fields.

• Min. 2 years of relevant experience in a similar role, with hands-on experience in designing, developing and deploying machine learning in real-world applications.

• Proficient in machine learning frameworks and libraries such as TensorFlow and PyTorch, particularly for computer vision tasks including object detection, classification and tracking.

• Familiarity with relational database management systems (RDBMS) such as PostgreSQL and Microsoft SQL Server, as well as experience with vector databases.

• Experience in application software development across multiple platforms including Windows, Linux, mobile operating systems (iOS, Android) and embedded systems.

• Strong programming skills in Python, Java and C++, with experience in GPU-accelerated computing using CUDA and TensorRT.

• Knowledge of edge computing platforms and hardware accelerators such as NVIDIA Jetson, Google Coral, and ARM Cortex.

• Fluency in Chinese is a plus for effective interaction with Chinese-speaking stakeholders.

• Candidates must meet legal requirements to work in Singapore without sponsorship.

Job Objectives

1. To provide assistance to Engineer in the area maintenance, repairs and installation and to assist
2. Document for the Engineer and for the client.

Duties/ Functions/ Responsibilities

• Undertake 24x7 operational health/ maintenance/ troubleshooting/ installation/ repairs according to Data Centre ‘best practice’
• Supervision and escort of term contractors to ensure that installation/ maintenance repairs adhere to their due diligence
• Ensure that customer’s premises is tidy up and all equipment's are operational before leaving the client’s premises
• Follows and adhere to customer’s facilities’ rules and regulations
• Observe operational health, safety and environment (HSE) requirements
• Propose and recommend customer’s Data Centre improvement/ replacement of aged equipment's
• Maintain good relations with customers by providing technical/ facilities support
• Involve in promoting team cohesiveness
• Preparing & updating of Maintenance schedule to the customer and vendors
• Promote and maintain company professional image in Data Centre maintenance & management.
• Ensure the term vendor is on time for Maintenance.
• To assist in vetting Vendor PTW, MOS & RA and submit to safety department and client for approval.
• Prepare Monthly duty rooster for in house shift technician.

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 seeking a curious and passionate AI Algorithm Engineer to help build the next generation of AI Native product experiences.

You will work closely with real-world product scenarios, deeply integrating large language models and multimodal AI technologies into user interactions, driving engineering excellence and continuous evolution of core AI capabilities.

Key Responsibilities

• Responsible for adapting, fine-tuning, and accelerating mainstream large models in intelligent operation scenarios, focusing on core algorithm development for AI Agents to "understand operations and replicate processes"
• Explore the practical application of multimodal AI and model optimization technologies in cross-terminal automation and natural language instruction execution
• Participate in the development of core systems for intelligent operation spaces, optimizing the experience and efficiency of AI-human interaction
• Build AI evaluation systems and benchmark frameworks for intelligent operation scenarios to ensure model reliability in real office environments
• Based on real user operation data, handle AI data construction, automated processing, and quality optimization to support model iteration
• Independently or primarily lead full-cycle algorithm projects, tackling technical bottlenecks such as low latency and high fidelity, supporting collaboration across hundreds of millions of devices.

Requirements:

• Master's Degree in Computer Science, Artificial Intelligence, Electronic Engineering, Mathematics, or related fields. Outstanding fresh graduates and early-career professionals with strong background alignment are welcome
• Solid Python programming skills, able to independently develop and optimize AI tasks. Preference for candidates with full algorithm project implementation experience
• Proficiency in deep learning frameworks such as PyTorch/TensorFlow, with research or project experience in NLP, CV, multimodal AI, or model optimization, particularly related to intelligent operations and large-model applications
• Deep understanding of Transformer architectures and LLMs, proficient in LoRA/QLoRA fine-tuning, model quantization, and optimization technologies
• Strong foundation in algorithms, data structures, and mathematics; familiar with Linux, Docker, and CUDA, capable of handling computing resource scheduling and large-scale device connections
• Preference for candidates with AI top conference publications, open-source contributions, competition awards, or experience in intelligent office, remote operations, and AI Agent projects
• Long-term thinker with a pursuit of technical excellence, able to independently solve problems, and deeply engage in cross-field areas of remote connection, computing resource scheduling, and AI Agents.

Language & Communication

• Fluent/Business level English
• Fluent Mandarin communication skills for daily technical discussions and teamwork with internal Mandarin-speaking stakeholders in China

What You Will Gain

• The opportunity to co-create AI Native products with top-tier engineers and designers, delivering real impact to global users
• A frontier challenge environment — where no standard answers exist, and the code you write could shape industry milestones
• Strong ownership and accelerated growth: from exploration to product decision-making and full-stack delivery, you will actively expand both product and technology boundaries

Job Summary

The CI engineer is responsible for implementing continuous improvement initiatives, analyzing existing processes, identifying areas for improvement, and leading kaizen activities to optimize operations and increase efficiency . They will collaborate with plant management to drive alignment, gain support, train personnel, and implement improvement initiatives. This high energy person should enjoy hands on participation and be able to development and coach others in the principles, practices, tools, and techniques of Lean/CI.

Essential Duties and Responsibilities:

Lean COMPETENCES

• Develop his/her own competences and skills in tools and methodologies useful for the operation area.

• Train operation team members to lean tools, standards & methodologies & ensure that lean standards are known and applied properly.

• Participant regional/global kaizen week, share good practice kaizen workshops.

• Participant lean tool improvement working group, contribute the lean standard/tool improvement.

Lean STRATEGIES

• Ensure that lean rules are considered in new projects at an appropriate phase.

• Help the plant / production Manager to keep a continuous improvement mindset, behavior & policy, whatever the operational situation.

• Organize annual VSM going through the production and propose the yearly workshops list, as input of plant productivity saving projects/workshops.

• Help to define the lean strategy of the production and prepare the operation budget concerning lean targets & budget.

• Manage the deployment of lean system within the production: manage production self-assessment with production team members and improvement action plan.

• Deploy lean standards & best practices within the production team.

Lean GENBA ACTIVITIES

• Coach operation team members on application of lean tools and methodologies through On Job Training.

• Support workshop pilots, lead workshops and implement improvement proposals.

• Permanently help plant/production Manager to detect and react to non-conformances against lean standards.

• Manage the maintenance of lean tools through appropriate audits (like 5S, Kanban audits, leader standard work) : audit organization, performance & follow up.

• Prepare & organize the weekly production lean committee (incl. agenda proposal) lead by the Production Manager, review kaizen workshop progress on Gemba and write the minute.

• Check regularly in-depth the proper deployment of lean in the operation area.

• Support kaizen workshop pilots on methodology and results achievement.

• Lead himself/herself permanently workshops and implement improvement proposals.

• Permanently promote the lean principles.

Lean RESULTS

• Ensure a lean reporting, Tier metrics are correct. Support plant manager establish productivity score cards accountability

• Quarterly lean mission report, share with site management team kaizen workshop status and saving achievements. Last quarter completed workshop, next quarter planned workshop, year to day saving summary, etc.

• Sharing and deployment of best practices from internal / external Sites / Plants.

Qualification/Requirements:

• A minimum of 3 years teaching, coaching, and Hands-on applying Lean principles, tools, and techniques within a manufacturing environment and achievement of significant results.

• Excellent communication, presentation, and facilitation skills. Must have facilitated multiple Kaizen events and delivered results against stated objectives

• A change agent that possesses the ability to influence decision making and build critical relationships in a manufacturing organization.

• Passion and enthusiasm for driving improvement and leading change

• Proven track record for developing, training, and coaching teams

• Strong analytical and problem-solving skills.

• Strong leadership, ability to engage people and motivate them to meet/exceed goals and objectives; and the ability to develop others.

• Experience with automation applications and implementation a plus

• At least 2 years with demonstrated success in manufacturing and /or supply chain experience plus lean training. Knowledge and practice experience of the following tools:

o   5S & Zoning, visual management

o   Standard work and cycle time measurement

o   Muda Hunting

o   SMED

o   TPM

o   Excel, PowerPoint

Desired Qualifications:

• Bachelor’s degree in Mechanical or Industrial Engineering, or related manufacture experience.

• Car automotive (Toyota, etc.) lean experience is preferred

WORKING : 6 DAYS WORK WEEK, 9AM-6PM

Roles & Responsibilities

• Conduct site visits, site feasibility, solar system design, and complete execution.
• Conduct engineering site audits to collect structural, electrical, and related site information for use in the design of commercial and utility-scale solar power systems.
• Design the arrangements of the solar panels for Rooftop, Ground-mounted, Floating, and other various supported electrical equipment and selection of cables for plant including layouts and schematic diagrams and calculation of technical sizing, BOQ/BOM.
• Perform computer simulation of solar photovoltaic (PV) generation system performance or energy production to optimize efficiency.
• Create checklists for review or inspection of completed solar installation projects.
• Analyse costs and benefits of proposed designs or projects and performing cost reduction analyses for solar systems.
• End to end execution of solar projects.

Requirements

• Willing to travel and will be working in Singapore.
• Minimum a Bachelor’s Degree in Engineering, renewable energy or relevant field
• Minimum two (2) years of relevant work experience
• Experience and knowledge of reviewing Financial Modelling is preferred
• Preferably with Energy Industry or Renewable Products background
• Preferably to have a good track record of solar PV projects
• Assertive to achieve the KPIs and adaptable both as individual and team player
• Technical advisors, EPC contractors, BD related roles are welcome to apply
• Proficiency in autocad

Job Summary:We are seeking a skilled Senior Engineer to lead the design, development, and implementation of our trading systems. The ideal candidate will have a strong background in software engineering and a passion for financial technology.

Key Responsibilities:

• Design and develop high-performance trading applications and systems.
• Collaborate with cross-functional teams to gather requirements and provide technical solutions.
• Optimize existing systems for performance and scalability.
• Conduct code reviews and mentor junior engineers to ensure best practices.
• Troubleshoot and resolve technical issues in a timely manner.
• Stay updated with industry trends and advancements in technology.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or related field.
• Minimum of 5 years of experience in software development, preferably in a trading or financial environment.
• Proficiency in programming languages such as Java, C++, or Python.
• Strong understanding of algorithms, data structures, and design patterns.
• Experience with database management and optimization.
• Familiarity with low-latency systems and high-frequency trading concepts is a plus.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills and the ability to work collaboratively in a team.

(This role is hired on a 1-year contract)

About MyJourney Platform

MyJourney@SUTD is an innovative credentialed story-building platform that empowers students to discover, reflect on, design, and showcase their authentic university journeys by transforming their academic, co-curricular, and personal experiences into meaningful, impactful, and shareable chapters that sparks inspiration and creation of further stories across the SUTD community and beyond.

Who We're Looking For

We are seeking an experienced and skilled Mid-Level Front-End Engineer with approximately 2–4 years of experience to:

• Develop and evolve the user-facing (front-end) experience of MyJourney, a comprehensive web application serving students, faculty, university staff, prospective employers, and offices supporting postgraduate or further studies.

• Understand constraints from various stakeholders and deliver a seamless, industry-grade interactive front-end solutions that balance feasibility (technology), viability (business), and desirability (design).

• Collaborate with the UI/UX designer, product manager to provide front-end–specific input on effort estimation, development timelines, and feature prioritization. Additionally, work with other back-end developers to ensure efficient data exchange and seamless integration of systems.

• Design, develop, and maintain scalable, reusable front-end components, structure, and architecture, leveraging available modern frameworks and tooling.

• Establish front-end build and deployment workflows to streamline the dev-ops and deployment pipelines, and improve overall team productivity.

• Design, implement thoughtful front-end code patterns following best practices, and translate complex university processes and domain knowledge into responsive, mobile-ready accessible, and intuitive web interfaces.

Why You'll Love This Role

As part of the MyJourney team, you will play a key role in shaping a modern web platform that transforms students’ educational milestones and experiences into meaningful digital narratives of their university journeys.

 What You Will Do

1.Front-End Development

• Develop and maintain high-quality, responsive, and accessible web interfaces for the MyJourney platform.

• Build reusable UI components and scalable front-end architecture that supports features such as quest views, portfolio building, reflections, and asset submissions.

• Translate UI/UX designs, wireframes, and prototypes into clean, production ready code.

• Ensure cross-browser compatibility and consistent performance across modern devices of varying screen sizes.

2.User Experience Implementation

• Collaborate closely with UI/UX designers to implement interaction patterns and visual designs accurately.

• Contribute to the development and maintenance of a shared component library and design system.

• Ensure storytelling features - such as portfolios, reflections, and submissions are intuitive and engaging for users.

3.Platform Integration with Backend APIs

• Integrate front-end interfaces with backend APIs and services.

• Work with backend engineers to define efficient data flows and API contracts.

• Design and implement asynchronous workflows to support responsive user experiences, including handling long-running background processes such as large or bulk file uploads.

4.Code Quality & Performance

• Write clean, maintainable, and well-documented code following modern front-end best practices.

• Participate in code reviews and maintain consistent development standards.

• Implement testing approaches for front-end functionality and optimize application performance and load times.

5.Collaboration & Product Development

• Participate in product discussions, sprint planning, and technical design reviews.

• Provide front-end input on feature feasibility, development effort, and implementation strategies.

• Continuously improve front-end architecture, developer workflows, and platform usability.

What You Bring

• Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience).

• At least 2 - 4 years of professional front-end development experience, building web applications.

• Strong proficiency in JavaScript, knowledge in at least one JavaScript framework, and TypeScript (along with strong fundamentals in HTML and CSS).

• Familiarity with RESTful APIs and asynchronous data flows and event handling.

• Experience implementing responsive, mobile-ready, and accessible web interfaces.

• Familiarity with modern front-end bundling tooling or build pipelines such as Vite, Webpack, or similar build systems.

• Proficiency with Git-based version control workflows.

Preferred Skills

• Experience working with design systems and component-driven development.

• Knowledge of Alpine.JS (on Django)/React, or familiarity with state management libraries (strongly preferred, but not required).

• Experience with front-end testing frameworks.

• Basic understanding of web accessibility standards (WCAG).

• Experience working on portfolio platforms, content platforms, or educational technology products.

• Demonstrate flexibility in contributing to back-end development where required, in response to evolving project needs and stakeholder contexts.

Need to know how to use AutoCAD
Have experience in the construction industry.
Need to be fluent in Chinese
Must be able to read drawings
No age limit
At least have diploma or degree certificate
Those who are frequently late will not be accepted
Diligent and conscientious attitude
Be brave to express oneself

Job Description:

1. Define, implement, and maintain a cybersecurity engineering process & Cybersecurity management system across the product lifecycle, from concept to decommissioning.

2. Responsible of Cyber Security Manager in project and Cyber Security Architecture.

3. Collaborate closely with cross-functional process stakeholders to ensure alignment & consistency with the cybersecurity process.

4. Support internal and external audits and assessments, including preparation of evidence for ISO/SAE 21434 and other relevant standards.

5. Identify gaps, risks, and improvement opportunities within the cybersecurity process and drive continuous improvement initiatives.

6. Collaborate with the IT department to establish a Cyber security key management system to meet the needs of project development and manufacturing.

7. Manager Cyber security testing and verification for products

8. Oversee ongoing cyber security monitoring and handle cyber security incidents after project mass production

Requirements:

1. Solid undestanding of Cybersecurity Automotive standards and regulations such as ISO21434, R155, GB44495.

2. Experience defining, maintaining and improving engineering processes, work products, and lifecycle documentation.

3. Familiarity with Tier 1 supplier cybersecurity management, including requirements definition and compliance assessment.

4. Practical experience with performing & coordinating the TARA analysis for automtoive items/components.

5. Ability to work independently and take ownership of process definition and governance.

6. Proven experience collaborating with cross-functional teams across diverse cultural backgrounds and multiple time zones.

7. ISO 21434 Certification (or other equivalent certifications) is highly appreciated.

8. Experience/familiarity with the incident response process is a plus.

9. Proficiency in python scripting.

Executive Summary

Smart IMS Inc provides Digital technology & Cloud transformation services, Application & Infrastructure Management Services, Unified Communications, and Insurance implementation services to customers across the Americas, Europe, Middle East, and Asia-Pacific regions. As the trusted technology and business partner of leading MNCs, including Global Investment Banks, Smart IMS is also a Microsoft Gold Certified Partner, Oracle Platinum Partner and AWS MSP Partner.

We are looking to hire a motivated AI Automation Engineer / Specialist in Singapore to support our client, a top global investment bank. You will be responsible for developing, testing, and maintaining automation solutions to enhance efficiency, reduce manual efforts, and improve system performance.

Responsibilities:

• Develop and implement automation using programming or scripting (such as Python) or other relevant technologies.
• Collaborate with teams to identify automation opportunities in workflows, systems, and processes.
• Leverage AI/ML-based tools or frameworks to enhance automation capabilities, improve efficiency, and enable intelligent process automation.
• Design, test, and maintain automation frameworks for software, infrastructure, or operational tasks.
• Troubleshoot and resolve automation-related issues to ensure seamless execution.
• Document automation processes, best practices, and technical solutions for future reference.

Requirements:

• Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field.
• Knowledge of any automation programming or scripting language (such as Python)
• Basic understanding or exposure to AI/ML concepts or AI-driven automation tools (e.g., NLP, intelligent automation platforms)
• Past relevant internship or work experience in programming or scripting will be highly advantageous
• Possess interest to pursue a career in the Data Centre / IT Infrastructure domain
• Strong analytical and problem-solving skills with a passion for automation.
• Eagerness to learn and apply new technologies in automation and system optimization.

Key Responsibilities

• Design, build, and deploy scalable AI and machine learning solutions, supporting the full lifecycle from data ingestion to production deployment
• Develop and maintain end-to-end pipelines, including model training, validation, and serving
• Work with advanced AI technologies such as Large Language Models (LLMs), embeddings, multi-agent systems, and RAG-based architectures
• Manage model lifecycle processes, including experimentation,versioning, validation, and release into production environments
• Support the development of reliable and scalable infrastructure using containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines
• Collaborate closely with data scientists, engineers, and other stakeholders to translate research and prototypes into production-ready applications
• Integrate AI solutions into existing systems while ensuring performance, scalability, and reliability
• Monitor and improve model performance, including tracking data drift and optimizing system efficiency
• Contribute to engineering best practices through code reviews, testing, and continuous improvement initiatives

Qualifications

• Degree in Computer Science, Data Science, Mathematics, Statistics, or a related field, or equivalent practical experience
• Strong programming skills in Python, with experience writing clean, maintainable, and testable code
• Hands-on experience developing and deploying machine learning models and pipelines in production environments
• Familiarity with ML Ops practices and tools such as ML flow, Weights & Biases, or similar platforms
• Experience working with Large Language Models (LLMs) and modern AI frameworks
• Understanding of agent-based systems, orchestration frameworks, or related AI architectures
• Experience with containerization (Docker) and working knowledge of Kubernetes
• Familiarity with CI/CD tools such as GitLab, Jenkins, or similar
• Solid understanding of data preparation, feature engineering, and model evaluation techniques
• Knowledge of core statistical and mathematical concepts relevant to machine learning
• Experience working with cloud platforms and GPU-based workloads is an advantage
• Strong problem-solving skills and the ability to work effectively in cross-functional teams

This isa permanent role in Singapore.

Description:

Join this team focused on RF Front End Modules for the Cellular and Wireless Data markets.  You will be part of the Business Unit Engineering organization and work directly with and support multiple product development teams.  

Position requires a senior technical specialist who can provide leadership in the development of new and sustainable technology platforms for the company using a solid background in materials, device physics, front end or back end processes, and supplier interactions.

Responsibilities:

• Exhibit skill and confidence in working cross-functionally across a matrix organization in a very dynamic and fast-paced environment.

• Support development of advanced technologies for Si / GaAs backend interconnect, passivation, RDL, bump and flip chip packaging (CPI).

• Monitor and improve existing processes to improve yield, quality, and throughput, thereby increasing efficiency and product reliability. Support new pioneering singulation development.

• Utilize expertise in process integration between Fabrication (FAB) facilities and Outsourced Semiconductor Assembly and Test (OSAT) companies to anticipate and address potential integration challenges.

• In-depth knowledge of Backend-of-the-Line (BEOL) processes, with an additional benefit on experience in photolithography techniques.

• Conversant with substrate and assembly packaging processes for RF-SiP (Radio Frequency-System in Package) applications.

• Formulate industry-leading design guidelines which involves a comprehensive approach that incorporates lessons from past failures and acknowledges manufacturing constraints.

• Create, conduct, and analyze Design of Experiments (DOE) for development activities, especially those that relate to bump/die sort quality, yield and impact on CPI.

• Interface with foundries and OSATs for direct project management of critical programs.

• Understand process details, SPC, Control plans, OCAPs, FMEAs, PCN, CARs and Quality metrics. Conduct audits, benchmarking and drive best practice methodologies to proactively prevent quality excursions as the technology ramps.

• Resolve quality, yield and manufacturing problems with structed methods of problem solving.

• Lead all aspects technology integration into products, perform technical risk assessment, launch mitigation plans and ensure yield and reliability metrics are met and are in line with product release schedules. 

• Team cross-functionally with, Design, Device process development, Packaging, FEA and global NPI teams to support technology readiness for new products

• Ideate, Sketch and Participate in value engineering and cost reduction plans along with Qualcomm Packaging and Sourcing teams.

• Ensure product readiness for ramp. Protect product integrity post ramp.

Qualifications:   

• Master’s Degree or equivalent in Mechanical / Materials / Chemical Engineering. PHD Preferred

• 10+ years of experience desired in electronics packaging in related environments, especially RF module industry

• At least 5 years direct experience in process engineering, product integration or quality management at tier 1 foundries, or assembly sub-contractors.

• Solid technical understanding of full range of Semiconductor packaging materials, material interactions, processes, dominant failure mechanisms and analytical techniques.

• Good knowledge of packaging industry standards (IPC, JEDEC, IEEE, ISO, ANSI).

• Understanding of package/product qualification and reliability methods and failure analysis is required.

• Familiarity with PCB design and layout tools preferred.

• Understanding of statistics, control methodology, FMEA, analytical trouble shooting in a factory environment is required.

• Excellent communication skills.

• Willingness to travel internationally, typically once per quarter.

Job Summary:

The NPI Engineer is responsible for managing and executing the introduction of new products into manufacturing. This role bridges the gap between design and production, ensuring that new products are launched efficiently, cost-effectively, and with high quality. The NPI Engineer collaborates cross-functionally with R&D, Quality, Procurement, and Operations teams.

Job Description

• Prepare work instructions (WI, OMS), technical write-ups for production
• Liaise with the sales team and the customer to highlight issues with the prints or manufacturing through the supplier problem sheet (SPS)
• Liaise with suppliers and contractors on technical purchases requiring engineering review to meet the requirements
• Coordinate and follow-up on engineering activities for production and new product implementation
• Provide engineering support, advice and direction to production sections on manufacturing and testing requirements
• Work with production to review, analyze and resolve quality issues
• Support production on productivity improvement, cost reduction and other continuous improvement projects from time to time
• Support qualification activities including FAI
• Design and develop toolings to improve efficiency and effectiveness of manufacturing the parts
• Review processes to analyze, control and minimize deviations using statistical tools
• Follow-up on new processes to ensure processes are tested and stable before and during production
• Review process timings for new products and existing production operations to ensure that they are updated and current
• Initiate cost or productivity improvements projects

Job Requirement

• NITEC in Mechanical Engineering or equivalent
• We are open to candidates with no experience
• Able to work under pressure with tight deadlines
• Positive attitude and ability to communicate well with all levels
• Good communication and interpersonal skills in a multi-cultural work environment
• Meticulous and detailed in job assignments
• Relevant manufacturing experience in a production environment
• Candidates with extensive experience will be considered for a senior position
• Project management skills will be advantageous

Basic Mechanical Engineering knowledge
Electrical Engineering knowledge
Troubleshooting skills
soldering skills
Reading of electrical schematics

Will be trained on semiconductor machine, specifically scanning electron microscope. To understand how the machine works and to troubleshoot issues with the machine. Will also be exposed to skills required to repairs parts of the machine.

To be acclimatized with semiconductor work environment, cleanroom practices and better understanding of semiconductor machines.

Individual needs to be eager to learn, able to analyze situations and make sound conclusion knowledge in basic mechanical and electrical engineering

Fresh graduate from ITE or Polytechnic are welcome to apply

Responsibilities:

• Lead the end-to-end delivery, deployment, and configuration of enterprise backup and recovery projects according to customer requirements and industry best practices.
• Engage with clients to assess business continuity requirements, design tailored backup policies, schedules, and retention strategies aligned with compliance and regulatory standards.
• Collaborate with project managers, vendors, and cross-functional teams to ensure seamless execution of backup solutions.
• Act as the technical escalation point for complex implementation or recovery challenges across multiple concurrent projects.
• Deploy and configure enterprise backup solutions such as Avamar, Commvault, Veeam, NetBackup, and Networker, including integration with storage, servers, and virtualization environments.
• Conduct regular recovery drills, disaster recovery simulations, and compliance audits to validate resilience and adherence to governance frameworks (e.g., MAS TRM, ISO 27001).
• Provide knowledge transfer, training, and mentoring to client IT staff and junior engineers to strengthen operational readiness.
• Document solution designs, configuration standards, and runbooks for long-term operational sustainability.
• Support pre-sales by providing technical consultation, feasibility assessments, and effort estimation for backup and recovery solutions.

Requirements:

• Proven expertise in deploying and managing enterprise backup tools (e.g., Avamar, Commvault, Veeam, NetBackup, Networker).
• Strong understanding of system, storage, and network concepts, with ability to design integrated backup strategies for hybrid environments.
• Degree / Diploma in IT / Computer Studies or equivalent.
• 3 to 6 years of experience in backup engineering, with exposure to large-scale enterprise or regulated industry environments.
• Familiarity with compliance requirements (e.g., data residency, GDPR, MAS, ISO) is an advantage.
• Excellent problem-solving, communication, and client-facing skills.

Reolink, a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. 

Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe.  Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. 

Key Highlights: 

• 5 Work Days, 8.30am-5.30pm / 9am-6pm 

• Office Near to Kaki Bukit MRT, Singapore 

• Medical Benefits Provided 

• Entitled to Yearly Bonus & Performance Bonus 

Job Responsibilities: 

• Algorithm Development: Development and optimization of machine learning and deep learning algorithms to solve complex business problems. 

• Model Training and Evaluation: Participate in the construction and training of artificial intelligence models, including but not limited to neural networks, decision trees, etc., evaluate and optimize the models to improve their performance and accuracy. 

• Data Analysis and Preprocessing: Conduct data collection, cleaning, preprocessing and feature engineering, provide high-quality data for model training, and arrange and guide data labelers to carry out data labeling and other work. 

• Collaboration and Deployment: Collaborate with team members to integrate algorithm models into actual business systems, promote the implementation of projects, and realize the intelligent upgrading of products. 

• Research and Innovations: Stay up to date with the latest advancements in AI and ML technologies. Explore and deploy new technologies, drive innovations to create value to market needs, and enhance the company’s competitiveness. Audio and video algorithms for surveillance/monitoring applications which also include the research and implementation of algorithms involving target detection, feature extraction, tracking, and recognition. 

• Documentation and Reporting: Maintain comprehensive documentation of algorithms, experiments, and project workflows. Communicate results and findings to technical and non-technical stakeholders. 

Job Requirements: 

1. Bachelor's or master's degree in computer science, Applied Mathematics, Electrical Engineering, Pattern Recognition, Artificial Intelligence, Automatic Control, Operations Research, Biology, Physics / Quantum Computing, Neuroscience, Statistics or a related field. 

2. Familiar with common machine learning and deep learning algorithms and keeping track with the latest SOTA implementations. 

3. Strong programming skill in Python, C / C++, proficient in mathematical / statistical concepts and exceptional coding skills 

4. Hands-on experience with AI / ML frameworks be familiar such as Caffe, PyTorch, TensorFlow, MxNet etc. 

5. Have rich project experience in machine learning and deep learning, be familiar with common algorithm models, such as CNN, RNN, LSTM, Transformer, ViT, etc., and be able to improve and innovate models according to actual problems. 

6. Experience in familiar the design, parameter tuning and optimization methods of neural network models is a plus 

7. Experience in model compression and in the transplantation and optimization of deep learning forward inference on various platforms, including NPU / GPU / DSP / ARM on mobile platforms and CPU / GPU on server platforms is also a plus. 

8. Strong logical thinking and problem-solving ability, able to independently undertake the research and tackling of complex problems and team spirit are highly valued traits. 

Reolink, a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions.

Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most.

Key Highlights:

·      5 Work Days, 8.30am-5.30pm / 9am-6pm

·      Office Near to Kaki Bukit MRT, Singapore

·      Medical Benefits Provided

·      Entitled to Yearly Bonus & Performance Bonus

Responsibilities (SRE Operations Engineer)

High Availability and Stability Maintenance of Application Systems:

• Includes daily monitoring, alert response, emergency handling, on-call duties, regular system health checks, and performance optimization.

Compliance and Secure Access Construction for Application Systems:

• Ensure operational design, processes, and data management comply with relevant privacy and data protection laws.
• Ensure compliance with full auditing and regulatory checks and provide auditing materials as required.

Change and Release Management:

• Best practices for application system changes, including change control, version management, and rollback strategies, while ensuring operational duties during release windows.

Automation and Infrastructure Optimization:

• Drive operational automation by designing and implementing automated tools and processes, ensuring resource allocation is optimized and supporting business scalability.

Other Operational Practices and Work Arrangements:

• Providefeedback and suggestions for business architecture design and continuously produce operational technical documentation.

Qualifications

1. Bachelor’s Degree or above; a degree in computer science or a related field is preferred.
2. At least 2 years of experience in cloud services products and application operations.
3. Familiar with cloud platform deployment and management (AWS, Azure, Google Cloud, etc.).
4. Experience with automation operations and container technologies (Docker, Kubernetes).
5. Familiarity with CI / CD processes and tools (e.g Jenkins, GitLab CI).

Responsibilities:

• Lead the end-to-end delivery, implementation, and configuration of enterprise IT infrastructure projects according to customer requirements outlined in technical proposals.
• Engage directly with clients to gather technical requirements, provide deployment recommendations, and ensure project scope aligns with business needs.
• Collaborate with internal teams, end users, clients, suppliers, and stakeholders throughout the project lifecycle.
• Provide regular project reporting and risk/issue escalation to the project manager and senior stakeholders.
• Work closely with product principals (e.g., Dell, HPE, VMware, Microsoft) to troubleshoot, resolve deployment challenges, and validate solutions.
• Design, deploy, and configure enterprise storage systems, virtualization platforms (VMware/Hyper-V), and Windows/Linux servers across multi-site environments.
• Conduct system acceptance testing, performance validation, and security compliance checks; prepare comprehensive technical documentation and runbooks for client handover.
• Serve as the technical escalation point for complex implementation issues across multiple concurrent projects.
• Provide knowledge transfer and mentoring to junior engineers, ensuring project continuity and skills development within the team.
• Support pre-sales teams by providing technical input on solution feasibility, deployment timelines, and resource planning.

Requirements:

• Strong hands-on expertise in enterprise Storage, Virtualization, Windows, and Linux Server Implementation.
• Additional knowledge of networking, backup solutions, and security frameworks is an advantage.
• Degree / Diploma in IT / Computer Studies or equivalent.
• 3 to 6 years of relevant experience in systems and/or network engineering, with proven track record of handling complex, large-scale deployments.
• Demonstrated ability to manage multiple projects, stakeholders, and vendors in a fast-paced environment.
• Strong communication skills with the ability to present technical solutions to both technical and non-technical stakeholders.

Reolink, a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions.

Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most.

Key Highlights:

·      5 Work Days, 8.30am-5.30pm / 9am-6pm

·      Office Near to Kaki Bukit MRT, Singapore

·      Medical Benefits Provided

·      Entitled to Yearly Bonus & Performance Bonus

Responsibilities (SRE Operations Engineer)

High Availability and Stability Maintenance of Application Systems:

• Includes daily monitoring, alert response, emergency handling, on-call duties, regular system health checks, and performance optimization.

Compliance and Secure Access Construction for Application Systems:

• Ensure operational design, processes, and data management comply with relevant privacy and data protection laws.
• Ensure compliance with full auditing and regulatory checks and provide auditing materials as required.

Change and Release Management:

• Best practices for application system changes, including change control, version management, and rollback strategies, while ensuring operational duties during release windows.

Automation and Infrastructure Optimization:

• Drive operational automation by designing and implementing automated tools and processes, ensuring resource allocation is optimized and supporting business scalability.

Other Operational Practices and Work Arrangements:

• Providefeedback and suggestions for business architecture design and continuously produce operational technical documentation.

Qualifications

1. Bachelor’s Degree or above; a degree in computer science or a related field is preferred.
2. At least 2 years of experience in cloud services products and application operations.
3. Familiar with cloud platform deployment and management (AWS, Azure, Google Cloud, etc.).
4. Experience with automation operations and container technologies (Docker, Kubernetes).
5. Familiarity with CI / CD processes and tools (e.g Jenkins, GitLab CI).

Executive Summary

Smart IMS Inc provides Digital technology & Cloud transformation services, Application & Infrastructure Management Services, Unified Communications, and Insurance implementation services to customers across the Americas, Europe, Middle East, and Asia-Pacific regions. As the trusted technology and business partner of leading MNCs, including Global Investment Banks, Smart IMS is also a Microsoft Gold Certified Partner, Oracle Platinum Partner and AWS MSP Partner.

We are looking to hire a motivated Automation Engineer / Programmer in Singapore to support our client, a top global investment bank. You will be responsible for developing, testing, and maintaining automation solutions to enhance efficiency, reduce manual efforts, and improve system performance.

Responsibilities:

• Develop and implement automation using programming or scripting (eg. Python) or other relevant technologies.
• Collaborate with teams to identify automation opportunities in workflows, systems, and processes.
• Design, test, and maintain automation frameworks for software, infrastructure, or operational tasks.
• Troubleshoot and resolve automation-related issues to ensure seamless execution.
• Document automation processes, best practices, and technical solutions for future reference.

Requirements:

• Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field.
• Knowledge of any automation programming or scripting language (for eg. Python)
• Past work or internship experience in automation / programming will be an advantage
• Strong analytical and problem-solving skills with a passion for automation.
• Possess interest to pursue a career in the Data Centre / IT Infrastructure domain
• Ability to work independently and in a team-oriented environment.
• Eagerness to learn and apply new technologies in automation and system optimization.