Total 2,903 design engineer job vacancies in D23 Hillview, Dairy Farm, Bukit Panjang, Choa Chu Kang

• Knowledge on HVAC fundamentals (chillers, pumps, cooling towers, air handling units)
• Identify, design, and propose energy conservative measures (ECM) on the chilled water system which includes:

1. Instrumentations selection and design on the measurements and verifications (M&V) system (temperature sensors, flow meters, pressure sensors, weather stations, power meters)
2. Centrifugal water pumps energy optimizations strategy
3. Chillers energy optimizations strategy
4. Cooling tower energy optimizations strategy
5. Heat balance substantiating test

• Operating system efficiency (OSE) report preparation
• Documentation of the chiller system optimization design

We prefer full time interns who can commit at least 5 months between January 2025 to July 2025.

ROLE:

A*Star-IME is currently working on establishing a hybrid fabrication platform for 150mm and 200mm Silicon Carbide (SiC) power MOSFETs as a new pillar on Singapore"s Future of Microlectronics in wide-bandgap. The main objective of this SiC RnD program is to advance 200mm SiC technologies in various areas, such as epitaxy, device design, process integration & fabrication, and power module packaging. The ultimate aim is to drive disruptive innovations in power device research, specifically focusing on >1.7KV power MOSFETs. These innovations will have significant applications in enhancing automotive technologies, vehicle electrification, safety measures, sustainable energy grids, data centers, and industrial & aerospace automation. Key aspects for this role to be successful include the development and integration of several process modules, such as gate oxidation, implantation, implant activation, layout design verification, lithography, and ohmic contact formation. We are actively looking for individuals with extensive industry experience in device physics and process integration to join our team. The candidate will contribute to process integration, E-test and module process related data analysis, yield enhancement, and device physics.

RESPONSIBILITIES:

• Lead develop process technology for SiC power MOSFETs and ensure it meets the requirements for prototyping manufacturing

• Collaborate with advanced process module development team to establish a process flow for fabricating specific MOS devices

• Responsible to develop and improve test structures that enable fast and rigorous characterization of process

• Accountable to improve device performance and yield through the design, execution, and analysis of experiments for each specific device and product

• Work with cross-functional teams to minimize defects and address technical and yield concerns

• Drive CIP (Continuous improvement plans) to deliver integrated process modules and specific device per project goals

• Make decisions regarding the delivery of process, active and passive devices to multiple customers

REQUIREMENTS:

• MS/PhD Degree in Electrical Engineering or related field

• >3 years industrial experience for MOSFET process integration and device physics

• Proactive, self-motivated, and results-oriented professional with the ability to make efficient contributions to and lead technical discussions

• Extensive expertise in material and process integration

• Comprehensive understanding of semiconductor materials and the physics of MOSFET devices

• Strong communication skills to effectively communicate information about module integration for device fabrication and with customers

• Excellent analytical skills for interpreting process and device data, coupled with strong presentation abilities

Job Description:

Candidate will be part of Far-Backend Of Line (Far-BEOL) team of process module engineers, advancing specialty technologies at IME. His or her main roles and responsibilities include:

• Develop and support Chemical Mechanical Planarization (CMP) unit process capabilities for silicon photonics, flat optics, advanced packaging, MEMS, and wide bandgap semiconductor applications.
• Deliver innovations involving process methodologies, materials, or approach, and generate intellectual property related to various aspects of CMP.
• Participate as team member with process integration teams to actively support CMP process development, optimization and troubleshooting for various industry and grant projects.
• File patents/know-hows on new development activities.
• Publish research findings in prestigious journals and conferences.

Job Requirement:

• Masters with specialization in Electronics / Microelectronics / Materials Engineering / Chemical Engineering / Materials Science/ Chemistry / Physics or equivalent.
• Minimum 5 years of experience in CMP technologies, preferably in an industrial setting.
• Prior hands-on experience working on industry-scale 200 mm or 300 mm CMP equipment platforms (e.g., AMAT or Ebara platforms), with in-depth technical knowledge in process development, materials, and inline process control related to CMP.
• Knowledge of silicon photonics, advanced packaging, MEMS, or wide bandgap semiconductor technology platforms would be a plus, but not mandatory.
• Strong experimental design (DOE) and data analysis skills is preferred.
• Good interpersonal and strong demonstrated skills in collaborating with internal and external stakeholders.
• At least 2 years of demonstrated experience in managing projects of moderate complexity is preferred
• Good analytical skills and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.
• Self-driven with strong interest in next-generation applications of CMP technologies and industry trends.

Job Description:

• Developing and optimizing thin film processes, such as Physical Vapour Deposition (PVD) and e-Beam Evaporation for Micro-Electro-Mechanical-Systems (MEMS), Wide-Band-Gap (WBG) and Photonics applications.
• Thin film property characterization and process issue troubleshooting.
• Develop film defect reduction and yield improvement strategies.
• Act as a subject matter expert and resource for colleagues in integration teams.
• Work with Fab team in establishing statistical process control for thin film module.
• Generate and present reports to both internal and external customers.

Job Requirements:

• Bachelors/Masters in Materials Science and Engineering, Physics, Electrical Engineering, or closely related fields are welcome to apply.
• 3+ years direct industry experience in PVD and evaporation is preferred.
• Good understanding of thin film deposition techniques, defect reduction methodologies, yield improvement and thin film property characterization is desired.
• Understanding of thin film tool hardware, especially PVD and evaporation, is advantageous.
• Knowledge and prior hands-on experience on basic process characterization techniques such as SEM/TEM, EDX, SIMS, FTIR, XPS, ellipsometry is advantageous.
• Good understanding of thin film deposition techniques, defect reduction methodologies, yield improvement and thin film property characterization is desired.
• Possess good interpersonal and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.

Job Description:

• Developing and optimizing thin film processes, such as Physical Vapour Deposition (PVD) and e-Beam Evaporation for Micro-Electro-Mechanical-Systems (MEMS), Wide-Band-Gap (WBG) and Photonics applications.
• Thin film property characterization and process issue troubleshooting.
• Develop film defect reduction and yield improvement strategies.
• Act as a subject matter expert and resource for colleagues in integration teams.
• Work with Fab team in establishing statistical process control for thin film module.
• Generate and present reports to both internal and external customers.

Job Requirements:

• Bachelors/Masters in Materials Science and Engineering, Physics, Electrical Engineering, or closely related fields are welcome to apply.
• 3+ years direct industry experience in PVD and evaporation is preferred.
• Good understanding of thin film deposition techniques, defect reduction methodologies, yield improvement and thin film property characterization is desired.
• Understanding of thin film tool hardware, especially PVD and evaporation, is advantageous.
• Knowledge and prior hands-on experience on basic process characterization techniques such as SEM/TEM, EDX, SIMS, FTIR, XPS, ellipsometry is advantageous.
• Good understanding of thin film deposition techniques, defect reduction methodologies, yield improvement and thin film property characterization is desired.
• Possess good interpersonal and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.

As the Research Engineer (Equipment/Operations), you are directly involved in tool installation activities for semiconductor process tools. You would need to work proactively to coordinate with the contractor on the ground for the execution and take corrective and preventive actions of lessons learned, due diligently to prevent reoccurrence. You are responsible for performing utilities turn-on after installation is completed. You must perform the activities per ASTAR site procedure and safety policies to ensure all tool-install-related activities are completed, meeting safety, quality, schedule and budget requirements. You will also be required to perform other activities such as operations for the different semiconductor modules (Diffusion, Litho, Dry/Wet Etch, Thin Film, Implant, etc).

Responsibilities:

• Coordinate with all tool-install base contractors to execute equipment hookup for new tools, to meet the high-quality standards, dynamic schedule, and forecasted budget.
• Coordinate with the Project owner (NGTC/APM) to facilitate utility release as per the planned schedule and update tool release status timely
• Follow all safety and environmental procedures to ensure compliance with EHS-related regulations, risk assessment, safe work procedures, and permit-to-work system.
• Play an active role in safety, actively participating in safety discussions and safe work practices.
• Establish regular area walks to identify opportunities for improved safety, cleanliness, housekeeping and efficiency
• Establish regular, working interaction with peers as well as vendors in tool installation & facilitation, communicating clearly and respectfully all relevant information.
• Keep the reporting officer informed regarding the progress of assigned work and any abnormalities observed in your area.
• Demonstrate ability to understand drawing and highlighting discrepancies
• Follow area-specific procedures and documentation
• Prioritize work tasks to meet schedule and expectations, minimum guidance
• Perform tool tool-relativities and cleanroom systems troubleshooting during the hookup phase
• To perform equipment trouble-shooting of the equipments in NGTC when the need arises
• To perform utility-on after installation completion and to work closely with LCAM for complete closure
• To perform tests balancing of exhaust for new tools whenever necessary
• To perform measures for tool consumption during the hookup phase and to work closely with LCAM
• Use methods to organize, calculate, and display data accurately for utility and flowrate measurement
• Perform site activities in accordance to the Discipline

Requirements:

• Degree/Diploma in Mechanical/Electrical/Chemical engineering or equivalent
• Semiconductor experience (Equipment & Process)
• Facilities field or Wafer Fab Manufacturing equipment background will be an advantage.
• AutoCAD

About the role

We are looking for a LEAN Programming Engineer to take a hands-on implementation approach in designing, implementing, and optimizing our theorem-proving AI system. You will contribute to research and development of critical components of our AI architecture: (a) formalizing mathematical, scientific and engineering problems into a domain knowledge model and representation, and (b) independent validation of outputs via formal verification systems. The ideal candidate will have a strong background in functional programming languages, which we believe is the foundation for developing a logical reasoning AI system. We are especially interested in candidates who have worked in developing and using automated theorem provers, formal verification systems or applications, and symbolic computation/algebra systems extensively. A strong academic or research foundation in logic systems (higher/first-order logic, etc.) will be invaluable.

KEY RESPONSIBILITIES

▪Implement and optimize algorithms for automated theorem proving, including but not limited to, proof search, term rewriting, and logical inference.

▪Incorporate advanced mathematical concepts and formal methods into the design and development process.

▪Utilize knowledge of various logic systems and frameworks such as HOL, FOL, DL, Modal Logic, and Temporal Logic in algorithm development.

▪Leverage Computer Algebra Systems (CAS) such as Mathematica, Maple, SageMath, Maxima, or SymPy for symbolic computation and algebraic manipulation.

▪Collaborate with AI researchers and mathematicians, and other engineers to write good quality code and ensure seamless integration and interoperability of different system modules.

MUST-HAVE QUALIFICATIONS

▪Masters / Ph.D. in Computer Science or Mathematics (or Advanced Master’s degree)

▪6+ years experience in at least one of Lean, Coq, Agda, or Isabelle.

DESIRABLE SKILLS

▪Strong understanding of functional programming principles and paradigms.

▪Familiarity with automated theorem proving techniques and tools.

▪Knowledge of formal methods and formal verification.

▪Understanding of category theory, type theory, or other advanced mathematical concepts.

▪Familiarity with logic theories such as Higher-Order Logic (HOL), First-Order Logic (FOL), Description Logic (DL), Modal Logic, and Temporal Logic.

▪Understanding of algebraic structures and symbolic computation.

▪Experience with AI and machine learning frameworks is highly desirable.

▪Contributions to open-source projects in the functional programming, AI, or formal verification communities.

Hummingbird Bioscience is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all Singapore and US federal, state and local laws and/or guidelines that prohibit employment discrimination on the basis of age, race, color, gender, sexual orientation, gender identity, ethnicity, national origin, citizenship, religion, genetic carrier status, disability, pregnancy, childbirth or related medical conditions, marital status, protected veteran status and other protected classifications.

Overall Job Purpose

Lead or assist a team in the development and building of CMMS databases for new or existing projects, provide support to the team(s) to ensure contractual/specification functionality and business objectives are achieved.

Take part in other activities assigned or designated by the manager relating to the current role.

Core Responsibilities

• Execution of the delivery for the CMMS Database build as per planned schedule and milestones.
• Lead and oversee work execution of a CMMS database build or data mining/gathering activity for use with a CMMS.
  Vetting on the quality of final data to be included in the CMMS build as per project specification.
• Coordination of data information requirement with EPCI group, project managers and client. Serves as the main point of contact on CMMS database project and/or remediation work.
• Identifying maintainable equipment/items to be marked for the CMMS from various sources.
• Meet with project groups in relation to data acquisition and delivery to the build team.
• Provide monthly reports on the status of assigned CMMS database build project.
• Guides and ensures database build team members follow project specification standards.
• Ensure CMMS database handover acceptance as per agreed specifications and functionality with client.
• Implementation of CMMS database remediation projects as per agreed work scope.
• Support and assist in implementation of change requests in the CMMS for the company’s internal operating assets when requested.
• To manage and update project schedules and progress diligently.
• To give feedback and suggest improvements to current CMMS database build or data mining/gathering processes.
• Ensure constant communication flow to the Information Management team and individuals involved in the project.

Educational Qualification:

• Preferable with a 4-year Bachelor Diploma in Marine or Mechanical or Electrical engineering.

Relevant Work Experience (Mandatory):

• At least 1.5 years working on CMMS plant maintenance database or from a marine vessel or onshore plant maintenance related background.
• Exposure to onshore production plant or Marine or Oil and Gas industry.
• User and operating knowledge to at least one Computerized Maintenance Management System (CMMS). E.g., SAP-PM, Maximo, NSE, AMOS, TM Master, Star Systems, etc.
• Practical exposure to data acquisition and manipulation to facilitate a secure, complete, and accurate data gathering and processing.
• Identifying tags, boundary mark ups, location and its boundaries from P&ID’s and other source materials. ***
• Able to identify maintainable equipment from tags and P&ID’s. ***

*** Mandatory requirement

Desirable Traits:

• Experience in being a member of or acted as a lead in a CMMS database building project.
• Working knowledge in reliability and maintenance analysis methodologies.
• General working knowledge on planned maintenance and project engineering specific to the oil and gas and/or marine industry.
• Familiarity with sea going vessel or onshore plant equipment and maintenance.
• Familiarity with industry standards such as ISO 9001 / 14001 / 14224.
• Strong analytical and evaluation capability.
• Excellent people management skills. Able to lead and motivate team members.
• Self-motivated with a strong drive to innovate and propose processes that will enhance work output.
• Excellent report writing and presentation skills.

Certifications:

• CMMS user training certification.

Computer Software:

• Advance Microsoft Excel operation and manipulation.
• Microsoft Office Suite operations.
• Knowledge in effective use of Microsoft Project for scheduling and planning.
• Good to have but not mandatory: Knowledge in Structured Query Language (SQL) / Python scripting / Visual Basic for Applications (VBA).

Ref ID: JT

A world empowered by autonomy. We build robotic vehicles to improve logistics safety, forge a greener Earth, and enhance human lives.

We are a closely-knit team aspiring to change the world through disruptive technology. We are innovators. We are tinkerers. We are problem-solvers. And we have a fair amount of magic dust up our sleeves. We have a plan for fleet-level deployment of autonomous vehicles, and we are looking for the best-of-the-best to join us in making this a reality.

About Venti Technologies

Based in the U.S. and Asia, Venti Technologies is the leader in safe-speed autonomous logistics systems, developing the future of goods transportation. Using rigorous mathematics, deep learning, and theoretically-grounded algorithms, Venti has a proprietary collection of autonomy technologies including a suite of powerful logistics algorithms. Venti’s proven value proposition of saving costs, increasing vehicle utilization, and improving safety is recognized by customers and driving growth. Launched in 2018, Venti brings together an unsurpassed team internationally. The company has autonomous systems deployed in Asia for industrial and logistics sites and a growing pipeline. Venti has offices in Cambridge (Massachusetts, USA), Suzhou (China), and Singapore – our Asian headquarters.

This is a new role within our Operations Team where you will be responsible for autonomous vehicle operations in our customer sites where you will be responsible for Remote Vehicle Operations, Maintenance and Systems testing. where you will be cross-deployed to both the testing and operations team. This role will operate on a shift-based schedule. You will play a crucial role in ensuring the safe and efficient operation of autonomous vehicles, monitoring and controlling real-time vehicle operations, conducting general maintenance and executing testing procedures.

On a day to day, you will be collaborating with cross-functional teams while integrating new technologies, troubleshooting technical issues and contributing to continuous improvement initiatives. Your expertise will be vital in the success of maintaining compliance with safety regulations, optimizing vehicle performance, and fostering innovation in autonomous vehicle operations.

Role responsibilities

Vehicle Maintenance and Testing.

• Conduct diagnostics and maintenance on autonomous vehicles.
• Collaborate with engineering teams to integrate new technologies and features into autonomous vehicle systems.
• Execute testing procedures for autonomous vehicle systems in an operational environment.
• Provide technical support to on-site and remote teams during autonomous vehicle operations.
• Troubleshoot and resolve technical issues promptly to minimize downtime.

Operations Control:

• Monitor and control the real-time operations of autonomous vehicles.
• Execute and manage autonomous vehicle operations to ensure safe and efficient performance.
• Respond promptly to system alerts and emergencies, taking corrective actions as necessary.

Shift Operations:

• Work on a shift-based schedule to ensure 24/7 coverage for autonomous vehicle operations.
• Collaborate with cross-functional teams to maintain continuous and reliable system functionality during all shifts.

Safety and Compliance:

• Ensure strict adherence to safety protocols and compliance with regulatory requirements.
• Collaborate with safety and compliance teams to implement and maintain best practices.

Required experience

• Diploma in relevant field or equivalent experience.
• Proven experience in vehicle/transport operations and testing.
• Strong analytical and problem-solving skills.
• Experience with vehicle/transport technologies and systems.
• Hands-on experience in mechanical systems and electrical/electronic wiring
• Hands-on experience with Linux OS environment.
• Knowledge and background in Robotics/Automation.
• Hands-on experience in Bash, Python, C++ and ROS is a plus.
• Possession of a Class 3 Driving licence is a plus.
• Excellent communication and collaboration skills.
• Ability to adapt in a shift-based and 24/7 working environment.

Salary is commensurate with experience. We also offer world-class benefits, fantastic culture, flexible working arrangements, and a great international working environment. Come and join us!

Rapsodo Inc. is a sports technology and analytics company that uses computer vision and machine learning to help all athletes maximize their performance. Our proprietary technology applications range from helping golfers of all abilities, including PGA professionals, to optimize their launch conditions, to allowing MLB pitchers to increase the efficiency on their breaking balls. Current partners include all 30 MLB teams, MLB, USA Baseball, Golf Digest, PGA of America, and over 1,000 NCAA athletic departments.

We are seeking a highly skilled and experienced Senior Engineer, Perception, to lead the development and implementation of our cutting-edge perception systems focused on tracking multiple objects using camera and radar technologies. This role is critical to advancing our capabilities in object detection and tracking, contributing directly to the success of our innovative projects.

Key Responsibilities

• Lead the development of advanced perception systems for real-time, multi-object tracking using camera and radar data.
• Innovate and improve camera pipeline processes to enhance image quality and system performance.
• Design and implement sensor fusion algorithms to accurately integrate data from radar and camera sensors.
• Apply deep learning and computer vision techniques to improve detection and tracking accuracy.
• Develop and optimize tracking algorithms, including Kalman filters and Multiple Hypothesis Tracking (MHT), for enhanced tracking performance.
• Collaborate with cross-functional teams to ensure seamless integration of perception systems into the overall project architecture.
• Provide technical leadership and mentorship to junior engineers, fostering a culture of innovation and excellence.
• Stay updated with the latest advancements in perception technology, applying cutting-edge research to practical applications.

Skills & Qualifications

• Advanced degree (MS or PhD) in Computer Science, Electrical Engineering, Robotics, or a related field.
• A minimum of 10 years of experience in perception system development, with a focus on multi-object tracking using camera and radar technologies.
• Deep understanding of computer vision, signal processing, and sensor fusion.
• Proven experience in designing and implementing deep learning models for computer vision applications.
• Expertise in developing and optimizing camera pipeline and tracking algorithms, such as Kalman filters and MHT.
• Proficiency in programming, particularly in C/C++.
• Exceptional analytical and problem-solving skills, with the ability to lead complex technical projects.
• Strong communication and teamwork skills, with a track record of successful cross-functional collaboration.

If you are excited about the prospect of contributing to a dynamic, innovative, and driven environment while also being able to work independently, we invite you to submit your application.

Get to Know the Team

As a Lead Engineer in our team, you would architect, implement, and roll out our next generation of Grab platform for merchants.

Get to Know the Role

The Business Platform tech family is an engineering team which is responsible for multiple key products for Grab Merchant Partners (e.g GrabMerchant App, GrabMerchant Portal). We are running on a micro-service architecture in backend and are also providing multiple frontend techniques (e.g. IOS, ADR, Flutter, Web) for our end users (e.g. Merchants, to-B partners) across 7 countries. We are aiming to provide a high quality, stable, and efficient platform for merchants, and extend our platform to support offline transactions for merchants.

You are expected to understand the requirements from different partners, and work with the team to design and improve the system architecture which could adapt to multiple business flows, and also serve high throughput (thousands of QPS) at millisecond latencies. You will report to the Senior Engineering Manager and be based onsite in our Singapore One North Office.

The Critical Tasks You Will Perform

• Develop APIs, interfaces, and database schemas to ensure scalability, maintainability, and performance across the Business services domain.
• Design, implement, instrument, and deploy available services with tight Service level agreements, and champion for operational excellence across projects.
• Collaborate with partners across teams and roles, to resolve ambiguous, multi dimensional business, legal, and product needs to ensure Business Platform architectures are not just performant and usable, but also compliant.
• Lead architecture reviews, code reviews, design reviews, postmortems, and improve for engineering best practices across teams and tech families.
• Identify process gaps and establish engineering processes — project management, collaboration, code quality.
• Mentor and be a role model for junior engineers.
• Participate in interview loops to help Grab continue hiring top industry talent.

Qualifications

What Essential Skills You Will Need

• 7+ years of relevant experience.
• Prior experience designing, implementing and maintaining critical backend services with tight SLAs, at scale.
• Proficient in at least one programming language for backend services Go, Java or C++.
• Knowledge in distributed systems design and internals.
• Prior experience with any / all of Kafka, ElasticSearch, Redis, MySql, Aurora, and managed cloud services (specifically, AWS and Azure).
• Experience approaching a problem from different angles, analyzing pros and cons of different solutions.
• Strong written and verbal communication skills in English.

You will drive R&D initiatives to make our autonomous vehicles operate at superhuman capabilities for comfortable, safe driving. On a daily basis, you will:

• Define and influence the direction of the team, organization, and/or department
• Advise leaders on technology problems and solutions
• Connect and drive business impact through technology solutions
• Formulate problems, architect solutions, and design processes
• Prototype, evaluate, implement, and iterate on solutions
• Pioneer research into state of the art solutions and systems for autonomous vehicles
• Productionize and deploy solutions onto autonomous vehicle fleets
• Mentor and grow junior and experienced engineers and researchers
• Help create and reinforce a culture of inclusion, innovation, and excellence

What We’re Looking For:

• Masters or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience
• In-depth understanding of common Machine Learning and Deep Learning algorithms
• Experience designing, training, and analyzing neural networks for at least one of the following applications: object detection, semantic/instance segmentation, visual classification, motion/gesture recognition, sensor fusion, multitask learning, motion prediction, and/or multi-object tracking
• Effectiveness at leading and executing large, complex technical initiatives
• Strong track record of tackling ambiguous problems, creating clarity from it, and driving it to successful outcomes
• Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods
• Fluency in Python, including standard scientific computing libraries and Python bindings development experience
• Experience with PyTorch or other deep learning frameworks
• Experience working with large data sets and deriving insights from data
• Experience mentoring and leading others

Job Description:

• Experience in data center deployments and building large-scale infrastructure.
• Strong knowledge of network routing and switching concepts and protocols, including BGP, TCP/IP, VLAN, ISIS, OSPF, and MPLS.
• Proficiency in performing basic tasks using the Linux/Unix command line interface.
• Proven ability to analyze complex situations and apply troubleshooting skills, systems, tools, and creative problem-solving abilities under pressure.
• Preferred experience with Service Provider network hardware platforms and architectures, including routers, switches, and data center switching platforms.
• Prior experience with field-based work in data centers.

Education:

Bachelor’s in computer science, Computer Engineering or equivalent/higher

Language:

Fluent written and spoken English

Get to Know the Team

When you’re an engineer at Grab, you'll help shape the heart and soul of the company. Our team's mission is to create amazing services and tools that impact hundreds of millions of consumers, driving partners, and fellow Grabbers every day.

The applications we develop are core to our business. Your contributions will touch millions of lives, and you'll be recognised when you exceed our high expectations. You'll work in an international team of experienced developers who prioritise quality and new ideas. In our agile, test-driven development environment, you'll not only build new features and platforms but also evaluate the latest in mobile technology.

We're constantly improving our food delivery and supermarket platforms, handling tens of millions of bookings daily. New code reaches hundreds of millions of users quickly. You'll enhance features for our consumer and delivery-partner facing app, focusing on Deliveries, but we'll always welcome your fresh ideas. You'll work on one of the largest codebases in Southeast Asia, making an impact.

Get to Know the Role

We are looking for individuals with experience working within distributed environments to join our big data engineering group. You will report to the Senior Engineering Manager and be based onsite in Singapore. You will automate multiple big data flows, performance engineering, and building the internal big data pipeline platform to maintain the quality of our critical data. We offer the opportunity to work with a world-class engineering team managing petabytes of data in Southeast Asia.

The Critical Tasks You Will Perform

• Design the data warehouse schema in Bigquery and also be able to write code to process data from heterogeneous sources like APIs, PubSub, Transactional Databases.
• Lead, design, develop and manage data pipelines on the data ecosystem.
• Be hands on development in designing and developing ETL/ELT processes to ingest data into the data warehouse with focus on data quality and profiling.
• Participate in collaborations in external and team members and build SLAs.
• Take ownership of not just the Data Platform but also building the right
• Practise to lead the way forward for the team.
• Collaborate across teams and translate the requirements into actual workable
• Technical solutions.
• Ensure data quality and governance and participate in code reviews with focus on high quality technical documentation.

Qualifications

What Essential Skills You Will Need

• Bachelors/Masters in mathematics, computer science or other related quantitative discipline.
• 5+ years experience in data engineering roles.
• Familiarity with Hadoop, Hive, HBase, Spark, Flink, Airflow, Kafka, and Cloud software such as
• Redshift, EMR, BigQuery, Dataflow, Cloud Composer, BigTable, PubSub etc.
• Exposure to big data solutions from various data sources such as AWS, GCP, Microsoft Azure, Alibaba Cloud.
• Familiar with CI/CD and automating the deployments from dev to staging to production
• platforms.
• Experience with Data Warehouse concepts - Fact/Dimension Tables, CDC, SCD,
• partitioning and bucketing strategies.
• Proficient in writing complex SQLs, and experience in at least anyone of Java/Python/Golang.
• Experience in Metadata management, data discovery and creating data lineages.
• High personal code/development standards (peer testing, unit testing, documentation, etc).

JOB DESCRIPTION

We are looking for highly-motivated and skilled programmers to join us in Biomed DAR (BII A*Star), to work on a new initiative in the development and deployment of software tools for data management support systems/biomedical data repository. Our work supports BMRC-wide research programmes and industry collaborations.

Successful candidates will work with a team of data scientists, data engineers and UI designers to program a web-application stack for automated data integrity checks, data curation, data annotation, and data imputation for structured data generated by research programmes. Successful candidates will have the opportunity to tap into a large pool of biomedical data from different disciplines and to interact with the companies/researchers to understand their real data needs.

JOB REQUIREMENT

· Minimum bachelor’s degree or diploma in the field of computer science, computer engineering, or other web programming intensive course. With expertise in at least one of the following areas: creating, maintaining, implementing APIs, front-end development, microservices architecture

· Possess minimum 2 - 3 years or more of relevant work experience.

· Ability to work independently to translate design templates and ideas into programs with efficient coding.

· Basic knowledge in data analytics and proficient in Python, Node.js, React, SQL

· Prior industry experience with engineering, financial services, healthcare is a plus.

· Able to deliver under tight schedule.

· Good team player with understanding of best practices and cybersecurity.

· Good interpersonal and communication skills.

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

JOB DESCRIPTION

We are looking for highly-motivated and skilled programmers to join us in Biomed DAR (BII A*Star), to work on a new initiative in the development and deployment of software tools for data management support systems/biomedical data repository. Our work supports BMRC-wide research programmes and industry collaborations.

Successful candidates will work with a team of data scientists, data engineers and UI designers to program a web-application stack for automated data integrity checks, data curation, data annotation, and data imputation for structured data generated by research programmes. Successful candidates will have the opportunity to tap into a large pool of biomedical data from different disciplines and to interact with the companies/researchers to understand their real data needs.

JOB REQUIREMENT

· Minimum bachelor’s degree or diploma in the field of computer science, computer engineering, or other web programming intensive course. With expertise in at least one of the following areas: creating, maintaining, implementing APIs, front-end development, microservices architecture

· Possess minimum 5 years or more of relevant work experience.

· Ability to work independently to translate design templates and ideas into programs with efficient coding.

· Basic knowledge in data analytics and proficient in Python, Node.js, React, SQL

· Prior industry experience with engineering, financial services, healthcare is a plus.

· Able to deliver under tight schedule.

· Good team player with understanding of best practices and cybersecurity.

· Good interpersonal and communication skills.

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

Job Description

1. Perform research in the following areas:

a. Global performance analysis, and/or

b. Global structural response analysis

2. Assist in conducting physical model tests, field experiments and numerical simulations to support the development of integrated physical-numerical modelling and simulations.

3. Collaborate with industry partners, affiliated research institutes and other relevant stakeholders to contribute to grant proposals for research funding consistent with the strategic goals of TCOMS.

4. Any other duties as assigned by supervisor.

Job Requirements

· Bachelor's/Master's Degree in Civil Engineering, Mechanical Engineering, Marine Engineering, Naval Architecture, Applied Mathematics or other related disciplines.

· Preferably having relevant research/industry experience with competent knowledge in some of the following areas: Offshore engineering, marine engineering, hydrodynamics, naval architecture and ocean engineering.

· At least 5 years of experience

· Prior knowledge in the following numerical methods/software/programming languages will be an advantage:

o CAD software such as SolidWorks, Rhino, AutoCAD

o Engineering tools such as WAMIT, SESAM and OrcaFlex

o Finite Element analysis tools such as SESAM, ABAQUS, Ansys

o Programming codes such as FORTRAN, Python, MATLAB, C++ or equivalent.

· Good interpersonal and communications skills.

· Ability to adapt and work effectively as members of a team.

· Good command of written and spoken language.

· Resourceful and self-driven with a high degree of professional integrity.

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

Responsibility:

1. Collect and summarize product demand, participate in product demand assessment and optimization;
2. Competitor information collection& analysis;
3. Planning product promotion according to R&D and marketing research;
4. Provide customer support and product solutions training;
5. Participate in important project product selection, solution providing, bidding scheme and implementation plan evaluation;

Requirement:

1. Bachelor degree or above, major in computer, communications, electronics or related
2. More than 5 years working experience in security industry, 1 year experience in product or pre-sale
3. Good communication ability, can work under pressure

What you will do

1. DFT architecture exploration & evaluation for next-gen process node & package technology of MediaTek:

• Scan chain insertion & ATPG pattern generation
• Pattern validation through simulation & silicon analysis(pass/fail, shmoo, fail log, etc.)
• Diagnosis to help manufacture process improvement

2. Co-work with SoC architect, RTL designer, physical design engineer, and package engineer to define best architecture for 3D-IC:

• PPA(Performance/Power/Area) impact analysis & mitigation via DFT innovation
• Develop & integrate DFT-related RTL design modules to test chip

What you will bring

1. Master's Degree in EEE/ EE/ CE
2. Expertise in Synopsys and/or Mentor DFT tools, and HDL simulators like Synopsys VCS
3. Fluency in script language including but not limited to TCL/Perl/Python
4. Experience about MBIST with state-of-the-art SRAM structure & EDA tools is big plus
5. Skill for RTL design & integration, and physical failure analysis(PFA) will also be plus
6. Ability to think and work independently with different teams
7. Interest in understanding more details in entire design flow
8. Ability to use English for discussing technical details
9. More than 4-year industrial work experience is preferred

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 job holders are to work with PI and the research team to process air quality data and study small-scale dispersion of airborne pollutants in urban environment.

Qualifications

One or more of (but not limited to) the following:

• Bachelor Degree in Engineering or relevant field
• Experiences of (small-scale) simulations of air pollutant dispersion, meteorology modelling, data processing
• Demonstrating as a fast learner of conducting literature study and literature summary
• Experiences of handling big data via R, Python, Matlab, etc.
• Experience with UNIX-based operating systems and bash script or similar
• Strong interests in applying machine learning models and applications to atmospheric research
• Proactive in assisting and contributing to quality scientific research publications
• Proficient in technical presentation, slide making, report writing, etc.
• Proven rounded and effective team player with strong initiative and ownership of the research project

Job Title: Senior Maintenance Engineer (ID8358)
Location: Bukit Batok, Singapore
Working hour: Monday to Saturday, 8am to 8pm, however sometimes may required to work at off duty hours according to operation arrangement
Salary: $5500 - $6000

Job Description:
-Coordinate maintenance activities for facilities and equipment to ensure optimal performance and minimize downtime.
-Ensure the proper functioning and maintenance of machinery and equipment (such as genset, excavator etc) to support production and operational requirements.
-Coordinate tasks and resources across machinery & equipment maintenance team, and logistics & operations team to meet operational goals and deadlines.
-Oversee and ensure the Operations and Logistics adhere to safety measures during operations.
-Address operational issues and challenges, implementing solutions to maintain efficiency and productivity.
-As team leader in performing daily task, inclusive of daily reporting.
-Prepare & maintain machinery reporting & documents.

Requirement:
- Minimum of 2 – 5 years of experiences in excavator, heavy land machinery and equipment field.
· Possess knowledge on the procedures in maintenance of equipment & land machinery.
· Possess knowledge in logistics and operations will be advantages.
· Basic IT knowledge on software operating.
· Proficient in Microsoft Office application (Word, excel, powerpoint etc).
· Valid class 3 driving license (optional).
· People oriented, task oriented and possess positive work attitude.
· Strong organisational and communication skills.
· Ability to multitask, prioritize tasks, and manage time effectively.
· Problem-solving abilities and attention to detail.
· Willingness to travel to various project sites as required.

Job Title: Marine Technical Engineer (ID8359)
Location: Bukit Batok, Singapore
Must have technical and operations knowledge on marine vessel operations & maintenance
Salary: $3400 - $5000

Job Description:
- Managing and Overseeing daily vessel operations, including movements, documents and risk management.
- Ensuring compliance for Port state.
- Handling and checking ship and cargo documents, including customs compliance for international shipment, raise purchase procurement and purchase order for vessel request maintenance and repair.
- Tracking and reviewing of approved purchase requisition for all vessel.
- Assisting relevant departments with claims such as demurrage, cargo shortage, and commercial.
- Submitting monthly statistical reports, including operating rate statistics, demurrage and voyage reporting.
- Improving ship efficiency and reduce operational risk
- Engaging and deploying sea staff for vessel assignments.
- Managing planned maintenance system (PMS) repairs and maintenance activities documentation and report filling into marine department archive.

Requirement:
- Bachelor’s degree in Marine & Offshore Engineering, Mechanical Engineering, or a related field.
- Knowledge of international maritime regulations and environmental standards.
- Minimum 3-5 years hands-on experience with vessel operations, maintenance, or technical troubleshooting.
- Willingness to travel and work in challenging environments (e.g., shipyards or offshore).
- Proficient in English (Spoken and Written) & Microsoft Office.
- Team player and able to work within time constraints.
- Strong sense of integrity and professionalism.

Fabrica AI Full time Electrical Engineer - Invention of Automatic Tile Grouting Robots

Fabrica AI is reinventing how robots are developed. Currently novel robots take 5-20 years. We are building a design automation platform to bring it down to a month, and have already demonstrated significant progress by developing tile grouting robots in record time. Robotics simulation and reinforcement learning has been advancing a lot making it 1000x cheaper to train robots compared to 5 years ago, and as Jensen Huang said at Nvidia GTC 2024, "the ChatGPT moment for robotics may be just around the corner." A couple other companies are building on the same paradigm shift but we are the only ones using it to automate hardware design, not just software.

Building robots and a design automation platform together brings great synergy - the platform helps us develop robots faster than anyone else and the robots allow us to gather data and do experiments at scale. Data gathering can be done through partnerships with other robotics companies, but doing experiments is crucial for grounding the platform in reality and ensuring its usefulness. The grouting robots are already deploying daily at construction sites and bringing value to clients. We are currently negotiating sales worth around 500k USD. With manufacturing cost multiple times lower than companies using a traditional robotic arm, our robots have an ROI in weeks. Our robot is also small and simple to use, operating from a single button without the need to upload floorplans or do any complex setup. Soon we would be expanding into other simple and valuable robots for the construction industry.

We’ve raised over 2.5m USD from Hoxton Ventures, Credo Ventures, our Professor from Cambridge University, Woh Hup, and the owner of BHCC (listed construction company). We’ve 2500sqft of space in Singapore where we have over 20 team members, and 1200sqft of space in Czechia where we have our software team.

Jakub Suchanek (CEO) has an engineering degree from the University of Cambridge and experience working on self-driving cars at Wayve and machine learning at Granta Innovation and Wacker. He is a worldwide winner of NASA SpaceApps and has won bronze medals in International Olympiads in Informatics and Physics.

Ronald Luc (CTO) earned a degree in Math and Computer Science from Masaryk University, where he was a teaching assistant, and supervised several deep learning theses. He has years of industry experience in both machine learning and self driving cars. With Jakub he won TechFest Munich, one of the EU’s top hackathons; and represented Czechia at the International Olympiad in Informatics.

Keefe Wayne Teo (COO & CFO), a University of Cambridge engineering graduate, served as president of Hackbridge.io, promoting entrepreneurship in tech. He has 100+ citations in research journals and four papers on sustainable energy. He previously worked at Entrepreneur First and has business development experience from other companies.

Website: https://www.fabrica.ai/ (and various press releases, awards, etc.)
Latest Grouting Robot Demo: https://www.youtube.com/watch?v=AVWjmaMuYM0

Fabricator videos

https://www.youtube.com/watch?v=4aoQ4QaEOPQ

https://www.youtube.com/watch?v=xnENP7zWzEM

https://youtu.be/qXpkFeEidac

https://www.youtube.com/watch?v=5SBiEBLMQ9k

Your role would revolve around real-world industry deployments taking us from a TRL of 7 to 9. You may be remunerated with a combination of salary and share options. The following tracks are available:

Core responsibilities:

• PCB, electronics design
  • Working with both hobbyist and industrial microcontrollers, single board computers, motor drivers etc.
  • Integrating motor systems of different types (DC, BLDC, with encoder feedback…), sensor modules etc.
  • PCB design
• Embedded programming

Possible additional responsibilities:

• Testing our robot on construction sites
• Managing external PCB production
• Harness design
• Overseeing a team doing all the above

Requirements:

• Experience with electronics design and embedded software at at least one industrial level project
• Value the direct impact on the product and proximity to clients at a startup and the growth potential of a startup more than having a stable job at a reputable company
• Willing to work without a very well defined job scope and willing to adapt to changes week on week
• Ability to think of metrics to measure progress and deciding based on back on the envelope calculations
• Keenness to do more than is expected, impact driven, past side projects
• Excited about robotics and similar technical areas and exploring them in work and other projects
• Growth mindset driven

Our development process is very iterative and agile. Thus your role/tasks is/are likely to evolve over time. You would play a significant part in deciding how your work would contribute to our overall goals. If you like this process, you’d be a good fit for us.

Check out the link above for more information, and send your CV to [email protected]

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

• Build out data infrastructure and data pipelines in a secure and privacy compliant manner.
• Work with feature teams to provide reliable data and infrastructure.
• Maintain existing data infrastructure and ensure critical data is available and reliable.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 1 year of experience with software development in one or more programming languages (e.g., Java, C++).

Preferred qualifications

• Experience working with large data and creating and making available data cubes for other teams.
• Experience in optimizing data processing pipelines and data serving.
• Experience with data analysis and visualization tools (e.g., SQL, Colab).

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 Coastal Protection and Flood Resilience Institute (CFI) Singapore is actively seeking a Research Engineer to contribute to a groundbreaking research project. This research explores the efficacy of integrated nature-based solutions in sediment erosional control and coastal protection. The goal is to develop innovative, physically based models that quantify the protective benefits a vegetation meadow can offer to shorelines.

The Research Engineer will participate in experimental research, with a specific focus on studying sediment flux in hybrid solutions to coastal protection. He/she will lead and execute flume experiments, data analysis and field sampling as well as specific tasks which includes planning and conducting experiments, running laboratory analyses, collection and analysis of data, and performing basic administrative duties.

He/she will work need to work with Assistant Professor Gary Lei from Civil and Environmental Engineering and Dr. Ow Yan Xiang from the Tropical Marine Science Institute (TMSI) at NUS. Ideally, we are interested in candidates with prior experience with laboratory experiments.

Job Requirements

• Possess a bachelor’s degree in environmental engineering /Environmental Science/ Mechanical Engineering, or a closely-related field.
• Priority will be given to applicants who have prior research experience in coastal engineering, aquatic plants science, eco-hydraulics, and/or environmental fluid mechanics.
• Strong verbal and written communication skills.
• Proficient with Microsoft Suite and R, or other equivalent analytic software.
• Open to fixed-term contract.