Responsibilities

• To manage the office internal maintenance including Electrical, Air-con Plumbing and Building issue.
• Report to owner on the defect and closed back the loop when completed.
• Manage external sub-contractor and ensure the monthly preventive maintenance is carried out accordingly.
• Prepare monthly meeting minutes and submit to owner.
• Prepare monthly report.
• Prepare quotation for minor and A&A works.
• Manage or oversee a team of maintenance workers, custodians, or other facility personnel.
• Required to do some minor trouble shooting and hands on works if required.
• Any other ad-hoc as and when required by Superior or HOD.

Requirements

• Min. Diploma or Higher NITEC in Facilities Management, Building, Electrical, Mechanical or Aircon Maintenance qualification.
• Min. 3 years working experience in Facilities Management, Building, Electrical, Mechanical or Aircon Maintenance.
• Good interpersonal skill and able to establish good rapport with clients.
• Good written and verbal communication skills in English.
• Must be comfortable working 5.5 and/or 6 days work week.
• Must be comfortable to be deployed to different work sites.

ABOUT AirLab

The Aviation Innovation Research (AIR) Lab

The joint CAAS-Thales innovation lab known as ‘AIR Lab’ started to operate on 1st November 2019 with the objective to develop Proof of Concepts (POCs) or Minimum Viable Products (MVPs) of advanced and open technologies for future Air Traffic Management (ATM). Currently, the joint lab employs a team of 40 Thales engineers and 12 CAAS engineers and air traffic controllers operating in a vibrant ecosystem involving several Singaporean SMEs and start-ups, as well as key research institutes.

Thales engineers include 10 domain experts – with more than 10 years of experience – coming from Thales ATM centers of competence in France and Australia. These experts are coaching both the local Thales and CAAS engineers.

ROLE DESCRIPTION SUMMARY

As a Backend Software Engineer at AIR Lab, you will thrive if you have a passion for coding, designing, and engaging in discussions about APIs and data processing, including areas like data modeling, stream processing, and data quality control. You take pride in both the quality of your technical implementations and the overall delivery. You enjoy collaborating with a diverse team, bringing together various ethnic and cultural perspectives.

You are eager to dive deep into technical challenges, identify solutions, and effectively communicate your findings, helping the team learn and grow. You are enthusiastic about exploring new technologies and finding innovative ways to apply your knowledge. You also inspire and motivate your teammates to embrace continuous learning and take an active role in all aspects of engineering activities at AIR Lab.

KEY ACTIVITIES AND RESPONSIBILITIES

As aSoftware Backend Engineer, you are accountable for:

• Design and build APIs to provide data for the stream-aligned squads.

• Implement features and associated automated unit and integration tests. If appropriate implement security and load tests.

• Improve and maintain the DataLake cybersecurity posture w.r.t data governance and cybersecurity standards by working with other stakeholders (e.g., Data Architect, Data Assessment Office, Cybersecurity Office).

• Improve and maintain the DataLake service levels for reliable data flow, health of infrastructure (i.e., compute and storage) and security.

• Improve and maintain the total cost of ownership of data; this activity includes raising efficiencies around FinOps, CloudOps.

• Improve and maintain the architecture transforming data between the DataLake and a distributed search and analytics engine (e.g., ElasticSearch).

• Lead the technical evolution of the DataLake by exploring new methods, techniques, algorithms (e.g., data meshes, AI/MLOps infrastructure).

• Work with the Data Architect to effect best practices to the engineering organization.

• Write and review the necessary technical and functional documentation in documentation repositories (e.g., backstage.io, JIRA, READMEs).

• Work in an agile, cross-functional multinational team, actively supporting the team's success.

KEY KNOWLEDGE AND EXPERIENCE

To be successful in your role, you will have demonstrated and/or acquired the following knowledge and experience:

Education

- Bachelor's degree in Computer Science or Information Technology with a minimum of 3 years of working experience.

- Master's degree in Computer Science or Data Science, if applicable

- Mid-career switchers are encouraged to apply if you demonstrate relevant working experience of at least 3 years.

Essential Skills/Experience

• Working knowledge of designing and building software applications using Java and/or Kotlin as a main programming language; a bonus is if you have experience designing and deploying RESTful and/or GraphQL APIs

• Familiar with development and deployment technologies for cloud (e.g., Azure Cloud, AWS, GCP), Kubernetes and container workloads (e.g., Kaniko, Docker) in general.

• Proficient in designing and implementing data processing and business Logic

• Demonstrated application of working with Continuous Integration and/or Continuous Delivery models; you are expected to be familiar with using Linux (e.g., shell commands)

• Proficiency in distributed source code management tools like GitLab, Github and practice GitOps

• Effective communication skills in English

Desirable Skills/Experience

• Working knowledge of designing application with a “shift-left” cybersecurity approach.

• Working knowledge of other languages (e.g., Python3, Scala2 or Scala3, Go, TypeScript, C, C++17, Java17)

• Experience in designing ETL or event-driven processing pipelines (with structured or unstructured data) using frameworks like Spark/ Apache Beam, Kafka Streams, Flink; proficient in deploying these data pipelines into Kubernetes cluster in Azure cloud either as virtual machines or containerized workloads.

• Familiar with cloud deployment models (e.g., public, private, community and hybrid) and service models (Software as a Service, Platform as a Service and Infrastructure as a Service).

• Familiar with designing and/or implementing AI/MLOps pipelines in public cloud (e.g., Azure, AWS, GCP)

Essential / Desirable Traits

• Possess learning agility, flexibility and pro-activity

• Comfortable with agile teamwork and user engagement

YOUR CAREER AT THALES

Future opportunities will allow you to discover other domains or sites. You will be able to evolve and grow your competencies in different areas:

• Room and attention to personal development

• Build your talents in another domain of Thales Group, discovering new products, new customers, new country or go to a more complex Solution.

• Choose between a technical expertise or a leadership path

• Build an international career within a leading Engineering Group

Roles & Responsibilities :

• Assists the Project Manager in supervision of all civil and structural works at Project Site.
• Ensure works carried out by subcontractors are in accordance with specifications and drawings.
• Ensure work programme, quality requirement, standards and construction materials requirements are carried out.
• Coordinate all civil & structural works with the consultants, sub-contractors, C&S and M&E coordinators to resolve any technical issues.
• Attend safety meetings and ensure works are carried-out safely on site.
• Any ad-hoc duties instructed.

Requirements:

• Bachelor's Degree in Civil Engineering or equivalent.
• Knowledge in the use of BIM, AutoCad and other relevant softwares.
• Able to read and understand construction drawings.
• Highly motivated, meticulous, independent with good written and verbal communication skills.
• At least 8-10 years of local experience.

The candidate is part of the Data Loss Prevention (DLP) project and operation team. He/she will be reporting to the DLP Lead and be assigned with project and operational work and responsibilities which includes but not limited to, processing requests, investigate operational issues and facilitate security investigation by providing the necessary information in accordance with approved policy and procedures as well as process improvement.

• Plan, deploy and implement Data Loss Prevention on security projects and initiatives
• Responsible for management, advanced configuration, monitoring and fine tuning of Data Loss Prevention solution
• Configure, develop and maintain DLP tools & platform, SIEM and threat detection tools
• Diploma/Degree in Computer Science, Engineering or equivalent
• At least 8 years of experience in IT Incident Management, DLP Operations or SOC
• Experience in multiple channels of DLP implementation and operations
• Good team player as well as strong communications skills
• Strong analytical skills and ability to work independently

About the Team:

Our team builds the recommender system at Shopee, and strives to provide the best online shopping experience for our users. You will have the opportunity to participate in designing and implementing advanced technical solutions with high performance, availability and scalability. If you are passionate in technology, then we welcome you to join us to build a high-performing recommender system.

Job Description:

• Design and implement backend services / systems / tools used by our products and users
• Write high-quality, clean and maintainable code using engineering best practices (unit testing, source control, continuous integration, automation, design patterns, etc.)
• Analyse requirements, design and develop features in C++/Go
• Understand and constantly optimise our products, identify and fix problems, improve stability and user experience
• Design and implement distributed systems that are optimised for performance, scalability and availability
• Build reusable code and libraries
• Collaborate with fellow developers, product managers,designers, and operation engineers to build products with cutting-edge technologies

Requirements:

• Bachelor's or higher degree in Computer Science or related fields, graduating in 2024
• Passionate about coding and programming, innovation, and solving challenging problems
• In-depth understanding of computer science fundamentals
• Strong and hands-on experience with at least one of the programming languages: C++, Golang
• Familiar with performance tuning, massive concurrency handling, and caching mechanisms
• Familiar with Linux development environments and multi-threaded programming
• Experience and knowledge in dealing with big data (Hadoop/Spark/Flink) is highly preferred

• In-house Support IT
• Support and maintain WAN/LAN network links and equipment's
• Administration of the Servers
• Support and maintain the Firewall System
• Fault diagnosis and resolution of software and system errors on the desktop
• Fault diagnosis of desktop hardware and co-ordination of repairs and replacements
• Software installation and decommissioning of desktop hardware
• Outdoor / Onsite Project Support for IT Related Products
• Interactive Panel Firmware update
• Network Devices Firmware update
• IP configuration of network devices
• Support Product Preventive Maintenance
• Support Interactive Panel Set up
• Any other task assign by Superior

Job Description :

We are looking for a skilled and proactive AV/IT Engineer who can take the lead on AV/IT initiatives and offer expert advice on AV/IT design and project plans, ensuring project needs are met, maintain, and monitor project timelines, intervening when necessary, onsite installation, upgrades, troubleshooting, take ownership and coordinate with others to support daily audio visual technical requests. Supervise and assist in the setup, troubleshooting and maintenance of audio visual systems. Perform preventative maintenance to ensure equipment is ready for use. Identify defective or failed equipment and resolve issues as they arise. Compile and analyze weekly reports, incident reports, and service report submissions, networking, and other in-house projects at customer premises. Programming, and basic construction setups Manage, test, and commission necessary devices. Ensure timely completion of testing, configuration, staging, and upgrades for assigned projects.

Requirements :

*Pass experience with working with Telcos is a must.

As an Equipment Engineer, you will own all assigned toolsets. The preferred candidate can troubleshoot difficult and poorly defined problems related to mechanics, electronics, and processes using tool knowledge/experience, SPC, schematics, and other available resources. The candidate will collaborate extensively with the area maintenance team and process engineering. Some collaboration will be with tool vendors, other area engineers/managers, procurement, and production.

Responsibilities:

• Provide technical leadership and management of 200MM and 300MM Semiconductor processing equipment in Support of Main Stream Semiconductor Processes and Advanced Packaging processes. Highly desirable for a candidate to have a background in at least one of the following areas: Photolithography, PVD and CVD Thin Films, Dry Etch, Wet Etch /Wafer Clean, Diffusion, Bond, Electroplate (ECD), CMP, or Metrology (some areas may be combined).
• Work with process engineering to drive root-cause corrective actions for equipment failures, implement permanent solutions, and eliminate chronic and long-term down events.
• Lead continuous improvement teams to drive tool matching, availability, and throughput improvements and reduce risk.
• Management of new tool installation, start-up, and tool upgrades to increase fab capability and capacity, lower costs, and improve yields.
• Work with minimal supervision, balancing competing priorities, to serve the needs of the Maintenance, Production, and Development organizations.
• Participate in cross-functional teams that create efficiencies across all layers of the organization.

Required Qualifications

• Degree / Diploma with 10+ years of relevant Semiconductor Industry Experience in Mechanical, Electrical, or Chemical Engineering, Materials Science, Physics, or another relevant Engineering discipline.
• 6+ years of experience within the respective areas of expertise. Experience should include one or more: Semiconductor Wafer Handling, RF Power, High Vacuum, Toxic Gas Delivery systems, Precision Optics, and Wet Chemistry.
• Demonstrated experience with the application of structured problem-solving methodology.
• Positive interpersonal skills, highly energetic and self-motivated.
• Demonstrated ability to meet requirements and deliver results.
• Ability to manage and execute multiple projects simultaneously and shift priorities to meet business needs.

Preferred Qualifications

• Diploma or Bachelor of Science/Engineering in Mechanical, Electrical or Chemical Engineering or Materials Science, Physics or other relevant Engineering discipline.
• Semiconductor Wafer Handling, RF Power, High Vacuum, Toxic Gas Delivery systems, Precision Optics, Wet Chemistry.
• Positive interpersonal skills, highly energetic and self-motivated.
• Experience with Automated Fault Detection and Classification Systems (FDC).
• Strong background with utilizing SPC.
• High level of understanding of equipment component behaviour.
• Experience Integrating Equipment Maintenance Management Software

As an Equipment Engineer, you will own all assigned toolsets. The preferred candidate can troubleshoot difficult and poorly defined problems related to mechanics, electronics, and processes using tool knowledge/experience, SPC, schematics, and other available resources. The candidate will collaborate extensively with the area maintenance team and process engineering. Some collaboration will be with tool vendors, other area engineers/managers, procurement, and production.

Responsibilities:

• Provide technical leadership and management of 200MM and 300MM Semiconductor processing equipment in Support of Main Stream Semiconductor Processes and Advanced Packaging processes. Highly desirable for a candidate to have a background in at least one of the following areas: Photolithography, PVD and CVD Thin Films, Dry Etch, Wet Etch /Wafer Clean, Diffusion, Bond, Electroplate (ECD), CMP, or Metrology (some areas may be combined).
• Work with process engineering to drive root-cause corrective actions for equipment failures, implement permanent solutions, and eliminate chronic and long-term down events.
• Lead continuous improvement teams to drive tool matching, availability, and throughput improvements and reduce risk.
• Management of new tool installation, start-up, and tool upgrades to increase fab capability and capacity, lower costs, and improve yields.
• Work with minimal supervision, balancing competing priorities, to serve the needs of the Maintenance, Production, and Development organizations.
• Participate in cross-functional teams that create efficiencies across all layers of the organization.

Required Qualifications

• Degree / Diploma with 10+ years of relevant Semiconductor Industry Experience in Mechanical, Electrical, or Chemical Engineering, Materials Science, Physics, or another relevant Engineering discipline.
• 6+ years of experience within the respective areas of expertise. Experience should include one or more: Semiconductor Wafer Handling, RF Power, High Vacuum, Toxic Gas Delivery systems, Precision Optics, and Wet Chemistry.
• Demonstrated experience with the application of structured problem-solving methodology.
• Positive interpersonal skills, highly energetic and self-motivated.
• Demonstrated ability to meet requirements and deliver results.
• Ability to manage and execute multiple projects simultaneously and shift priorities to meet business needs.

Preferred Qualifications

• Diploma or Bachelor of Science/Engineering in Mechanical, Electrical or Chemical Engineering or Materials Science, Physics or other relevant Engineering discipline.
• Semiconductor Wafer Handling, RF Power, High Vacuum, Toxic Gas Delivery systems, Precision Optics, Wet Chemistry.
• Positive interpersonal skills, highly energetic and self-motivated.
• Experience with Automated Fault Detection and Classification Systems (FDC).
• Strong background with utilizing SPC.
• High level of understanding of equipment component behaviour.
• Experience Integrating Equipment Maintenance Management Software

We're seeking a seasoned Senior Software Engineer to design, build, and integrate complex software components. As a Senior Software Engineer, you'll play a key role in delivering quality solutions and harnessing emerging technologies to drive business value.

Key Responsibilities

• Design, develop, and maintain complex software components, adopting design thinking and customer-oriented approaches.
• Build prototypes and design system architectures to demonstrate technology opportunities.
• Collaborate with cross-functional teams to deliver enterprise engineering products in a fast-paced environment.
• Provide technical consultancy and expertise in the systems development process, contributing to defining technical specifications and configuring solutions.
• Stay updated on emerging technologies, such as Artificial Intelligence, to drive business value and enhance service experience.

Requirements

Essential Qualifications

• Relevant qualifications in Computer Science, Information Systems, Computer Engineering, or related fields.
• Good knowledge of Agile software development, DevOps, and cloud technologies.
• Experience in modern web and application technologies (e.g., Nuxt JS, Vue JS, Node JS, Next JS).
• Excellent analytical and problem-solving skills.

Nice to Have

• Past experience working with Ruby on Rails.
• Experience in architecting and developing solutions to complex and ambiguous problems.
• Strong communication and interpersonal skills.
• Past work experience in large software teams.

Job Summary:

As a Senior Piping Engineer, he/she shall act as key person of the project as designated by Piping Department Manager and Lead Piping Engineer and performs the function inherent to this position. Responsible for the preparation of major piping layout, MTO sketch, and 3D CAD model review on piping system, equipment and structure, and interference detection. Has the technical responsibility for interpreting and evaluating stress/ vibration result, for reviewing piping layout, and piping information. He/She will also be responsible for reviewing piping engineering progress against approved schedule, for evaluating changes and taking corrective action when required, for providing technical guidance, and for organizing, executing and coordinating these responsibilities to ensure timely completion and meets project schedule and budget.

Duties & Responsibilities:

• To study ITB, project and design basis such as scope of work, overall project schedule, basic design data, client specification, client standard drawings, existingdrawings, and plot plan.
• To assist in planning and organizing piping engineering activities and manpower requirement for the project.
• To assist in developing piping engineering and design schedule, manpower requirements, manhour distribution and execution plan based on the scope of work and approved budget manhour/schedule.
• To coordinate piping design and engineering effort with other area Lead Engineers and disciplines of the project as directed by Piping Design Supervisor.
• To prepare piping information list and layout and document list following standard procedure created for the project.
• To prepare piping general specification inclusive of specification for piping arrangement, piping support standards.
• To interpret and evaluate stress/vibration analysis result and provides necessary recommendation on resolving the method of analysis.
• To develop conceptual routing, piping layout and piping information of major critical equipment of the project such as tower/column, airfin coolers, heaters, compressors and reactors, preferably in 3D CAD format.
• To check and review all work such as piping layout and information prepared by Engineers, 3D model, MTO, BQ and other deliverables of the project for compliance to project standards or specifications, applicable codes, contract requirements, quality standards and accepted engineering and construction practices.
• To provide field engineering support/advice towards piping installation and testing at construction site.
• To perform thefunction inherent to Piping Key Person as designated by Piping Department Manager and Lead Piping Engineer.
• To evaluate the performance of and provide counseling and guidance to members of the project.
• To prepare lesson learned upon completion of the project and recommend preventive actions to avoid recurrence on future projects to Piping Design Supervisor.
• To perform other tasks that may be assigned by the Department Manager and Lead Piping Engineer.
• To carry out engineering support work during the construction phase of the project.

Education:

• Bachelor degree of any four years BS Engineering course preferably Mechanical Engineering or at least ten (10) years related experience and/or training; or equivalent combination of education and experience.
• Minimum of ten (10) years in the field of piping design involving detailed design, stress evaluation, production work, 3D model review, and construction engineering support, three (3) years of which in a supervisory capacity.

Skills:

• Ability to use computer equipment and peripherals to carry out routine computing tasks.
• Good Knowledge of AutoCAD.
• Good knowledge of SP3D.
• Basic knowledge of 3D Model review through Naviswork or SPR.
• Interpretation of stress/vibration analysis report.
• Ability to read, analyze, and interpret common technical information, contracts reports and instructions.
• Ability to respond to common inquiries or complaints from clients and ability to write effective minutes of meeting and other related business communications.
• Strong leadership qualities and analytical and reasoning abilities.
• Good interpersonal and communication.

He/She will be responsible for conversion of signal processing concepts (theoretical or prototyped in MATLAB or C-Language) into algorithms to be implemented into embedded DSP or ARM processors. He/she will also work together with audio research team members to evaluate, benchmark internally developed cutting edge proprietary speech/hearing algorithms which will be implemented in a range of high-volume audio product lines for customers. He/she will be responsible for understanding DSP hardware structure such as memory management and processor pipeline. He/she will be responsible for DSP software development & validation including requirement analysis for algorithm implementation, support patent applications efforts and support internal or external customer developments.

Job Responsibilities:

• Design, document and implement DSP audio software modules based on allocated requirements of the DSP architecture
• Develop novel DSP based algorithms for embedded audio systems
• Work with and particpate in research activities together with research team members on the implementation of speech/hearing algorithms
• Collaborate with Sales/Engineering teams in productization, verification, testing and patent application of newly developed algorithms
• Perfom Design and Code reviews with members of the development team
• Perform Defect Analysis and remove defects on developed solutions
• Adhere to software development process defined for the develpment team
• Enhance or update existing software algorithms as required or effective algorithm function improvements
• Writing effective code, making it more streamlines & readable
• Work well with company's partners and vendors

Job Requirements:

• Minimum with a Degree in Engineering with exposure to Signal processing applications
• At least 5 years of experience in embedded real-time firmware development with emphasis on computaional complexity
• Prior experience in DSP development and implementation with an emphasis on audio implementations is preferred
• Proficient in C/C++, Shell scripting

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

One Research Engineer position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.

Product area

Whether it is paying online with Autofill, using tap and pay in stores, or using the Google Pay app, the Payments team at Google is focused on making payments simple, seamless, and secure. In addition to consumer payment technologies, the Payments team also powers the money movement between Google and its consumers and businesses.

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.

Qualifications

Job responsibilities

• Develop Google Wallet Application (including GMSCore and the Wallet App) across phones and devices.
• Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
• Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Perform full cycle feature development and launch.

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with large scale application design and architecture.
• 3 years of experience with Android application development.
• 3 years of experience writing code in Kotlin or Java

Preferred qualifications

• Master's degree or PhD in Computer Science or related technical field.
• Experience building for Android, particularly AOSP or GMSCore changes.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

One Research Engineer position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.

We're seeking a skilled Engineer, Quality Assurance to join our team in Singapore. Reporting to the Engineering Manager, you'll play a critical role in ensuring the quality assurance aspects of our technical areas.

Key Responsibilities

• Participate in our shift-left testing process and entire Software Testing Life Cycle (STLC) to ensure high-quality products.
• Collaborate with Product Managers to define, test, and validate product requirements.
• Design, execute, and automate tests for web applications and backend APIs, ensuring comprehensive coverage.
• Produce detailed test reports and serve as the sign-off authority for feature releases.
• Work closely with Development teams to identify and resolve issues, ensuring seamless collaboration.
• Contribute to the evaluation and adoption of testing automation frameworks.
• Mentor junior QA engineers, sharing expertise and promoting growth.

Essential Qualifications

• Bachelor's or Master's degree in Computer Science or a related field.
• Excellent communication skills, with the ability to explain technical concepts to diverse audiences.
• 2-5 years of experience in web application testing and automation.
• Strong foundation in Software Engineering concepts and STLC life cycle.
• Ability to write test plans and test strategy documents.
• Good knowledge of API and Web testing, Networking, and Operating System concepts.
• Strong troubleshooting, debugging, and analytical skills.

Preferred Qualifications

• Experience with testing automation tools.
• Background working in product companies.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

One Research Engineer position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.

Job Description:

- Perform Civil, Structural Analysis and Design to meet project specifications

- Coordination and Liaise with Clients, Authority and Other Consultants, Contractors on Projects

- Ensuring Good Project Documentation and Submission to Authority and Clients

- Attend Project Meeting and Perform Inspections on Designed Works

- To Lead and Mentor Junior Engineer in Performing Engineering Task

- Reporting to Principal Engineer / Management

Job Requirements:

- Candidate must possess at least a Master's Degree /Bachelor's Degree / Post-Graduate Diploma / Professional Degree in Engineering (Civil/ Structural) or equivalent, recognized by Professional Engineering Board of Singapore

- At least 4 Year (s) of working experience in the related field is required for this position

- Good Working Attitude, Self-Motivated, Positive Thinking, Independent, Discipline, Attention to Details and Ownership of Tasks

- Familiar with Local Design Standard and Code

- Knowledge of Design Software, e.g., STAAD Pro, Plaxis, AutoCAD will be added advantage

Key Responsibilities:
Provide day-to-day technical support and maintenance services, including troubleshooting and problem resolution
Monitor and maintain IT infrastructure, including servers, networks, and software applications
Assist in the implementation and upgrade of new IT systems and solutions
Communicate with vendors and clients to ensure technical needs are met
Write and update technical documentation and operation manuals
Participate in project planning and execution to ensure project goals are met on time
Track and report IT support incidents and problem resolution progress
Continuously learn and update technical knowledge to stay industry-competitive

Basic Requirements:
1-2 years of relevant work experience
Diploma in Computer Science, Information Technology, Computer Engineering, or a related major

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EA Registration Number: R22108564

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Business Registration Number: 201735941W.

Licence Number: 18S9037

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a motivated and skilled Research Assistant to join our team, focusing on the development and characterization of advanced 2D materials. The successful candidate will play a key role in supporting projects related to the growth, optimization, and detailed analysis of thin films for next-generation electronic devices.

Key Responsibilities:

• Materials Growth and Synthesis: Conduct thin-film deposition using techniques like Chemical Vapor Deposition (CVD) to synthesize 2D materials like MoS2 and other materials. Optimize growth parameters to achieve desired thickness, crystallinity, and uniformity.
• Characterization and Analysis: Utilize Atomic Force Microscopy (AFM), Scanning Electron Microscopy (SEM), and Raman spectroscopy for in-depth material characterization, focusing on morphology, surface roughness, grain size, and crystallinity.
• Data Collection and Analysis: Systematically document experimental procedures, collect data, and analyze results. Interpret findings to drive improvements in synthesis protocols and optimize film properties.
• Research Documentation: Prepare comprehensive reports, summarize research findings, and present data to support ongoing projects and publications.
• Collaboration and Lab Support: Work closely with team members, provide support for collaborative experiments, and maintain laboratory equipment.

Qualifications

• Master’s degree in Materials Science, Chemistry, Physics, or a related field.
• Demonstrated experience with CVD, AFM, SEM, and other characterization tools for thin films and nanomaterials.
• Proficiency in handling 2D materials with a strong focus on growth and sulfurization processes.
• Ability to work independently and collaboratively, with excellent attention to detail and problem-solving skills.

This position offers a unique opportunity to contribute to cutting-edge research in materials science, focusing on 2D materials for advanced electronics. If you have a strong foundation in materials synthesis and characterization and are eager to develop innovative solutions, we encourage you to apply.

Ackcio Pte Ltd builds reliable wireless monitoring solutions for industrial applications. Our Ackcio Beam suite of products runs off our core technology, a long-range, low-power radio wireless mesh communication to reliably transmit industrial sensor data in real-time both underground and above ground. Currently our technology is widely used in construction, mining, infrastructure, and rail industries to automate the monitoring process, improve productivity, and make the activity safe. We now help major clients in over 40 countries across 6 continents monitor their projects with our technology.

Ackcio was incorporated in Singapore in 2016, and has drawn investments from prominent investors including Atlas Ventures, Wavemaker Partners, Enterprise Singapore, Accelerasia, Aletra Capital Partners, Foundamental, and EF.

Job Description

Our business is growing rapidly, and we are looking for a self-motivated Senior Electronics Engineer to drive our electronics R&D efforts, design new products, and bring them to market that would be deployed across the globe in the harshest imaginable environments like hot gold mines in Australia to freezing temperatures of Scandinavia.

You would be responsible for timely execution of features and releases. We expect you to be engineering innovative capabilities to our product and ensure integration of our system with external partners from ideation to execution.

Core Responsibilities

Product Architecting

• Understand the product requirement in detail and capture all functionality requirements.
• Work with the relevant stakeholders and team members in obtaining a deep understanding of the products that are to be built.
• Architect the products’ electronics design while incorporating all functionality requirements.

Design and Implementation

• Along with the other Engineers, design the products’ electronics circuits.
• Ensure that the product design complies with requirements such as EMC emissions, power constraints, industrial usage, etc.
• Work through the product development cycle all the way from schematic design to prototype to production.
• Verify the designs through simulations and tests to ensure that all functional and non-functional requirements are captured correctly.
• Optimize the product design to reduce the cost of manufacturing and ensure that it is designed for manufacturing.
• Compile the PCB layout diagrams and other associated documents with our contract manufacturer.

Product Validation, Testing and mass production

• Work with our contract manufacturer to bring the product to life.
• Build prototypes and conduct full functionality tests.
• Oversee the production process of the products with our contract manufacturer to ensure we can manufacture the products at scale.
• Design automated test procedures and documentation for remote troubleshooting.
• Component sourcing and evaluation for alternate sourcing and cost reduction.

Qualification Required

• Master’s/Bachelor’s Degree in Electrical/Electronic Engineering
• At least 5 or more years in designing and productization of electronic products.
• Proven track record in designing analog and digital circuits for industrial electronic products.
• Experience with PCB design software such as Altium.
• Good problem-solving skills.
• Excellent analytical skills with a proven ability to think innovatively and resourcefully.
• Team player with a no ego and collaborative attitude.
• Self-motivated and driven to excel and deliver, able to handle stress with a positive attitude.
• Proven track record in leadership and project management.
• Strong communication and presentation skills especially in technical topics.
• Flexible, no 9 to 5 mentality.
• Experience with Mechanical design software such as SolidWorks will be a plus.

Perks

• Work with a talented team of a fast-growing, deep-tech startup.
• Cool working space with lots of friendly people.
• Be part of a deep-tech startup that is disrupting the market
• Open and supportive leadership team
• Flexible work arrangements

Our Awards

2021

• Great Place To Work certified
• Techblazer Bronze Award - Singapore highest accolade for tech innovation
• Forbes Asia 100 To Watch
• Top Singapore Wireless Companies and Startups
• Top Singapore Construction Companies and Startups
• Finalist - Ground Engineering Awards
  -Award for Equipment Innovation
  -Specialist Geotechnical Supplier of the Year
• Finalist - New Civil Engineer Tunneling Festival
  -Innovation in Instrumentation & Monitoring

2020

• Top 50 Contech Startups
  - Productivity Category

Find us at https://www.ackcio.com/

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The Institute of Operations Research and Analytics (IORA) is seeking a dedicated and skilled Research Engineer to support our research projects focused on the implementation and analysis of machine learning (ML) algorithms. The successful candidate will be instrumental in providing coding expertise, data management, and analytical support to a range of projects in operations research and analytics.

This is an excellent opportunity for recent graduates passionate about applying their technical skills to real-world problems, particularly in the field of machine learning and data analytics.

Key Responsibilities

• Coding and Implementation: Develop and implement machine learning algorithms and models to support IORA’s ongoing and new research projects.
• Data Analysis: Conduct data processing, exploration, and visualization, delivering insights that guide research conclusions.
• Model Evaluation: Collaborate with researchers to evaluate model performance, optimizing algorithms for robustness and efficiency.
• Documentation: Ensure thorough documentation of code, data pipelines, and research findings to facilitate reproducibility and project continuity.
• Collaboration: Work closely with research teams to understand project objectives, gather requirements, and provide technical support in the form of coding and data analysis.
• Maintenance and Troubleshooting: Manage and troubleshoot issues in codebases and data pipelines as they arise, ensuring smooth and efficient project progress.

Requirements

• Education: Bachelor’s degree in Computer Science, Data Science, Engineering, Statistics, or related field.
• Programming Skills: Proficiency in Python (preferred) or R, with experience in relevant libraries for ML and data processing (e.g., Scikit-Learn, Pandas, TensorFlow, PyTorch).
• Data Management: Familiarity with data extraction, cleaning, and preprocessing methods; experience with SQL or other database management tools is a plus.
• Machine Learning Knowledge: Understanding of machine learning fundamentals, including supervised and unsupervised learning, model selection, and evaluation techniques.
• Analytical Mindset: Strong analytical and problem-solving skills with attention to detail in data analysis and algorithm implementation.
• Team Collaboration: Ability to work collaboratively within a research environment, with effective communication skills to convey technical information clearly.

Preferred Experience

• Experience with version control systems, such as Git.
• Prior research experience or involvement in machine learning or data science projects is advantageous.
• Exposure to cloud computing platforms like AWS or GCP for ML model deployment (optional but a plus).

How to Apply

Interested applicants should submit their resume, a cover letter detailing their interest in the role, and any relevant project portfolios or coding samples that demonstrate their experience with ML and data analysis.

What you do:

• Generative AI: Language/Multi-modal Model Algorithm Development
  - Transformer-based architecture (LLaMa etc.)
  - RNN and SSM-based architecture (Mamba etc.)
• AI Vison/Voice/NLP/Algorithm Development
• Edge AI (APU) Algorithm Development and Optimization
  - Neural network optimization (Quantization/Pruning/Speculative Decoding)
  - Neural network design automation
• Advanced AI Algorithm: Reinforcement learning (RL), On-device learning

What you bring:

• Familiar with deep learning framework: Tensorflow, Pytorch.
• Familiar with on-device framework for mobile/embedding devices: TFLite, ExecuTorch
• Required programming language: Python, C/C++, Java.
• Knowledge in deep learning and generative AI algorithm/model development/optimization, model training methodology preferred
• It is nice to have experience in developing deep learning and generative AI algorithms for mobile/embedding devices.
• Candidates with more years of experience will be considered for a senior role.

Location: One North, Singapore

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

About the company

MediaTek Incorporated (TWSE: 2454) is the world’s 5th largest global fabless semiconductor company. Joining MediaTek means becoming part of a team that powers over 2 billion ICs worldwide, enriching and enhancing everyday life. Our chipsets are integral to a wide range of products, from smartphones, mobile devices to home and IoT devices, in entertainment and multimedia products, and provide connectivity and communication solutions that keep people connected with friends and their families with access to online resources. Working at MediaTek offers you the opportunity to contribute to the world through the devices we use in our daily lives – it’s more than just a job, it’s a chance to make a meaningful impact.

Our Philosophy:

Albert Einstein once said, "Creativity is intelligence having fun." At OutcomesAI, we embrace this idea by tapping into the creativity and problem-solving abilities of our team members. Our work is guided by the principles of clarity, discipline, and consistency. We view our employees as true partners, bound by mutual respect and accountability.

We need optimists and idea generators. Happiness is a driving force behind our passion for excellence. We believe that meaningful and fulfilling work leads to happiness by providing a sense of accomplishment, purpose, and strong social connections. Our aim is to uplift individuals, both within our team and among our customers in the healthcare industry, through the positive outcomes we deliver.

We're seeking an experienced AI engineer to develop cutting-edge generative AI applications in healthcare. The ideal candidate will combine deep technical expertise to create innovative AI solutions that improve patient care and outcomes. You will have the chance to work with a world-class team to shape the future of healthcare with GenAI. You will work on and own ambitious projects with large impacts.

Key Responsibilities

• Research, evaluate, implement and deploy cutting edge GenAI technologies
• Model pre-training, fine-tuning, evaluation, deployment, monitoring and feedback
• Build algorithms and agentic frameworks, laid foundation for scalable AI systems

Requirements

• PhD/Masters in AI, Computer Science, Data Science, or related quantitative field
• 3+ years of experience as individual contributor on AI product (e.g., AI/ML engineer, SDE, DS)
• Deep understanding of concepts and algorithms underlying deep learning, including LLM/LMM
• Hands-on experience in LLM/LMM pre-training, fine-tuning, data curation and synthesis
• Experienced in agent frameworks such as Langchain and/or building custom agentic frameworks
• Strong coding skills in Python and experience in PyTorch or other deep learning frameworks
• Experience in MLOps, system integration and monitoring of ML models in production
• Hands-on experience building LLM-based solutions to solve domain-specific problems
• Excellent communication skills and ability to clearly articulate complex problems

Preferred Qualification

• Experience in healthcare industry and familiarity with healthcare data
• Ability to implement and deploy latest GenAI research into production system
• Publications in AI journals/conferences or contributions to open-source GenAI projects

We are a Marine Communication Equipment and Service Provider based in Singapore, providing marine electronic equipment and marine communication integration solutions for offshore vessels arriving in Singapore or around the Asia region.

We are looking for a dedicated Service Engineer (Marine) to be responsible for repair and maintenance of ship Navigation, Communication, Satcom, VSAT/TVRO, PAGA/PABX and GMDSS system. Reporting to the Head of Marine Electronics, and working closely with our business partners, he/she will be involved in the installation and testing if navigation and communications equipment on shipping vessels.

Responsibilities

• Involve in project for installation of marine electronics equipment.
• Liaise/co-ordinate with shipyard for related project.
• Assist in the repair works in the workshop.
• Brief business partners on various navigational/communication system setup.
• Provide technical support for business partners.
• Prepare reports on equipment to business partners.

Requirements

• Diploma / Degree in Electronics/Communication Engineering
• 1- 4 years of Marine Experience