Total 715 Engineering job vacancies in PASIR GUDANG

Position Summary

The Process Engineer (Lithography) is responsible for the development and establishment of production process.

Responsibilities

• Review and accept machine buyoff, setup pilot line process and transfer from pilot line to production line for lithography process
• Establish, review and update specifications, workflow, quality and safety related documentation for production line.
• Troubleshoot process issue and improve process capabilities, yield and cycle time from customer NPI stage to LVM/HVM stage.
• Process sustaining and control through SPC and periodic defect Pareto Analysis.
• Lead and drive SPC control towards zero defects. Review and update FMEA, Control plan OCAP with cross-functional teams.
• Coordinate and liaise with vendor/suppliers on process issue or quality issue.
• Support customer NPI activities and internal engineering activities.
• New material, process & machine development and qualification.
• Handle and manage customer audits and 8D reports.
• Provide disposition for engineering and production lots.
• Conduct process characterization and qualification to establish process baseline.
• Any other ad-hoc duties as assigned.

Requirements

• Minimum Bachelor’s Degree in Materials Science, Microelectronics, Chemical Engineering or relevant engineering degrees.
• Minimum 3-years hands-on Lithography process experience in area of in the Wafer-level Fanout packaging production line or LCD/FPD production line.
• Knowledge in process engineering, process control engineering and yield enhancement.
• Experience in SPC, DOE, FMEA, and 8D reports

About the Role

We are seeking a talented and driven Data Engineer to join our team. The ideal candidate will be responsible for designing, developing, and maintaining robust data pipelines and architectures that support business analytics and data science initiatives. As a Data Engineer, you will work closely with data analysts, AI engineers, and other teams to ensure the efficient flow of data across the organization and enable data-driven decision-making. The role requires strong technical expertise in data systems, databases, and cloud infrastructure.

Responsibilities:

• Design, implement, and maintain scalable data pipelines to collect, process, and store large volumes of data from various sources.

• Develop and optimize ETL (Extract, Transform, Load) processes to integrate data from internal and external systems.

• Work with data analysts and other teams to ensure data is accessible and prepared for analysis and modelling.

• Manage and maintain databases, data lakes and warehouses, and other data storage systems.

• Collaborate with cross-functional teams to ensure data integrity, quality, and security.

• Implement data governance best practices to ensure data consistency and reliability across platforms.

• Optimize and troubleshoot data storage and query performance for large-scale datasets.

• Stay current with emerging data engineering technologies and methodologies to continuously improve processes and systems.

• Automate data collection and processing tasks where applicable to enhance operational efficiency.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or a related field.

• 5 years’ experience in data engineering, architecture, or relevant software development.

• Proficiency in programming languages such as Python, Java, or Scala.

• Strong experience with SQL and NoSQL databases (e.g., MySQL, PostgreSQL, SQL Server, MongoDB).

• Expertise in data modelling, ETL processes, and data warehousing solutions.

• Experience with big data tools and frameworks (e.g., Hadoop, Spark, Hive, Kafka).

• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).

• Familiarity with data visualization tools (e.g., Power BI, Tableau) and business intelligence concepts.

• Strong problem-solving skills and the ability to work with large and complex datasets.

• Excellent communication skills and ability to work in a collaborative environment.

• Knowledge of AI/ML techniques and integration of AI/ML into production data pipelines.

• Knowledge of banking systems and financial data.

• Knowledge of data privacy, security, and compliance regulations.

By submitting your application, you have given your consent for us to collect, use and retain your data for a year as according to our prevailing data retention and PDPA policies. Should you have any enquiries on our data policy, please contact us at CustomerSupport@glbank.com

Position Summary

The Engineer, Product Development is responsible for the development and establishment of new product and transfer process into production.

Responsibilities

• New product development as requested by customer and internal roadmap, and transfer into production
• New material, process & machine development and qualification, and transfer into production
• Troubleshoot process issues and improve process capabilities, yield and cycle time from customer NPI stage to LVM/HVM stage.
• Establish, review and update specifications, workflow, quality and safety related documentation for new products and transfer to production line.
• Coordinate and liaise with vendor/suppliers on process issue or quality issue.
• Support customer NPI activities and internal engineering activities.
• Handle and manage customer audits and 8D reports.
• Any other ad-hoc duties as assigned.

Requirements

• Bachelor’s Degree in Materials Science, Microelectronics, Electrical, Chemical engineering or similar disciplines
• At least 3 years of experience in product development or NPI work in area of Wafer-level Fanout packaging production line or LCD/FPD production line, focusing on processes such as:

1. Die Preparation/ Recon
2. AOI/ Lithography/ Wet etch
3. Backend

• Knowledge in process engineering, process control engineering and yield enhancement
• Experience in DOE, FMEA, and 8D reports

Senior Engineer, Clean

Singapore Headquarters | Full-Time | Hybrid Model HOYA Electronics’ primary focus is on the development of optical and extreme ultraviolet (EUV) photomask blanks, which are critical components in the manufacturing process of the latest-generation chips used in various applications such as artificial intelligence, high-performance computing, and 5G, as well as the production of various memory, logic, and power devices.

Life at HOYA Electronics

HOYA strives to create innovations for a better future for people.

At HOYA Electronics, we are dedicated to innovation in the information technology segment, envisioning a world where all can thrive in harmony with nature. Our people are guided by our mission along with principles of commitment and innovation, influence every decision and action we take. We prioritize environmental protection, safety, and human rights, fostering diversity, inclusion, and employee well-being.

Be Empowered to Innovate and Develop for a Better Tomorrow with Us

• Experience an empowering and inclusive workplace that fuels your growth and development.
• Unlock your potential with abundant opportunities for skill-building and career advancement.
• Thrive in an environment that supports work-life balance and values your well-being.
• Receive fair and competitive rewards – your success is our success.
• We believe in recognizing excellence and celebrating your contributions.
  

Get to Know the Role

As a cleaning process engineer, you will be part of our Engineering Clean team in maintaining and improving mask blank manufacturing cleaning process. In this role, you will monitor & analyse cleaning process data, conduct troubleshooting & experiments to sustain and improve the process. Effective communication across departments is essential as you will work cross-functionally to maintain process to meet production requirements & quality standards.

Essential Responsibilities

• Process owner of Mask blank cleaning machines.
• Monitor and troubleshoot tool process performance to maintain process quality to meet production requirements & quality standards.
• Liaise with vendors & production team to ensure work is carried out efficiently to meet module objectives.
• Maintain stock level of essential spare parts and consumables to support mass production.
• Investigate & analyse process issue root cause and drive for effective resolutions.
• Monitor & optimize procedures and implement necessary changes or improvements.
• Drive improvement to optimize processes to enhance quality, cost & productivity.

Skills and Competencies Profile

Required Qualifications

• Bachelor’s degree in chemicals, materials or relevant engineering field.
• Minimum 2 years Wet Clean or CMP polishing experience in semiconductor industry.

Technical Skills:

• Basic proficiency in Microsoft Office and familiarity with Excel for data analysis.
• Good knowledge of statistical analysis, with experience of using data analysis related tools Klarity, SPC & JMP, etc.

Soft Skills:

• Proactive team player and positive attitude.
• Good interpersonal and analytical skills.
• Comfortable working in a cleanroom environment.
• Proven track record of problem solving and process improvement in a semiconductor manufacturing.

Job description

Like Google's own ambitions, the work of a Software Engineer goes way beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of engineers. You not only optimize your own code but make sure engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.

With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.

Additional job description

As the Software Engineering Manager for Enterprise Data Protection in Singapore, you will be the foundational lead for a new security team. You will act as a technical leader to hire and manage security engineers to establish our security engineering function. You will coordinate with peers in Enterprise Data Protection's software engineering team to achieve our risk reduction goals. You will lead and have the ability to drive security engineering outcomes, build and lead effective security teams, and foster a collaborative environment to achieve collective goals.

Qualifications

Job responsibilities

• Lead a team of software engineers to implement holistic security controls across all systems at Google that process or store our intellectual property.
• Work with a wide variety of cross-functional roles within Core or Privacy, Safety & Security (PSS) and with stakeholders in our Product Areas (PAs) to implement controls that prevent or reduce the risk of data ex-filtration events.
• Define the security requirements for the next generation of security controls that are context aware and help mitigate the risk of Google's increased use of agentic AI.
• Partner with security engineers within Enterprise Data Protection to define requirements for the systems and infrastructure needed to achieve our data protection goals, including AI-based classification systems.
• Build a team in Singapore that has excellent culture and engineering standards.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience programming in Java, Python, Golang, C++ or equivalent codebases.
• 3 years of experience building software for data privacy or security (e.g., identity and access management).
• 3 years of experience in a technical leadership role.
• 2 years of experience in a people management or team leadership role.

Preferred qualifications

• Master's degree or PhD in Computer Science or a related technical field.
• Experience with building, deploying and using automation for security workflows, including both AI-driven and traditional automation tools.
• Experience in managing an engineering team, with knowledge of security domains, particularly in threat modeling and data protection controls.
• Ability to manage a phased program rollout, transitioning operational ownership and scaling technical infrastructure.
• Ability to partner with global stakeholders to align team goals with broader organizational objectives.

Product area

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

Job description

The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

Additional job description

As a Practice Customer Engineer (CE) with a specialty in infrastructure migrations, you will partner with Technical Sales teams and other CEs to differentiate Google Cloud to our customers. You will serve as a technical expert responsible for accelerating technical wins for the migration of complex, enterprise workloads, in partnership with platform CEs, Google Cloud Consulting, and partners. You will leverage your expertise in our most strategic product areas to direct migrating pilot workloads as proof-of-concepts and demos to sell complex migrations of large enterprise workloads to customers. You will solve migration-centered customer issues and provide a critical feedback loop to influence customers, partners and product development. With your organizational, communication, and presentation skills, you will engage with customers to understand their business and technical requirements, and present practical and useful solutions to facilitate and de-risk the migration to Google Cloud.

Qualifications

Job responsibilities

• Drive the technical win for complex workloads within migrations to ensure rapid and successful adoption, primarily supporting the business cycle from technical evaluation through customer ramp.
• Combine sales strategies and direct development and prototyping to provide functional, customer-tailored solutions that secure buy-in from customer domain experts.
• Provide deep technical consultation to customers, acting as a technical advisor and building lasting customer relationships.
• Leverage learnings from customer engagements to contribute to reusable solutions and assets with the Go-to-Market team.
• Work within product and engineering management systems to document, prioritize and drive resolution of customer feature requests and issues.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 10 years of experience with cloud native architecture in a customer-facing pre-sales role.
• Experience with enterprise architectures and migration strategies for technologies such as cloud to cloud or on-premises to cloud.
• Experience engaging with, and presenting to, technical stakeholders and executive leaders.

Preferred qualifications

• Experience with data centers consolidation, relocation, migration, or virtualization projects.
• Experience in migrating, architecting and developing software or infrastructure for scalable, distributed systems.
• Experience in configuration management (e.g., Puppet, Chef, CFEngine, Salt), and functional operations of server, storage, and network functions.
• Experience with networking concepts (e.g., Routing, VPNs, load balancers, and firewalls).
• Experience migrating Linux workloads across private, public, or hybrid cloud environments.
• Experience with enterprise approaches for business continuity, disaster recovery, and backup and restore.

We are seeking a highly motivated and talented system engineer to join our team at ALIRA Technology. This role will provide an exciting opportunity to work with the intelligent IOT SOC and solutions, like IOT Camera chip, Bluetooth audio chip and application processors. We are located in Science Park Drive.

· Engage customers during presales to gather requirements and explain our technology

· Elaborate solutions to be proposed to prospective clients

· Participate for designing, developing and test the device drivers and application software for the solutions based our chips.

· Engage with clients for requirement gathering, solution presentations, and supports.

· Collaborate with internal engineering and sales teams.

· Bachelor/Master’s degree in Electrical/Electronic/Computer Engineering (EE/EEE/CE), or equivalent experience.

· Have experience in ICs IoT, sensors, embedded systems, or related product development.

· Hardware: PCB, sensors, micro controllers

· Software: C/C++ for MCUs, RTOS, Linux device drivers

· Background in semiconductors, sensors, IoT solution development preferred.

Responsibilities:

• Develop and manage detailed construction plans and programmes for underground structure projects to ensure timely and efficient project execution

• Coordinate planning activities for major civil infrastructure projects, aligning schedules with project milestones and stakeholder requirements

• Utilize Primavera and MS Project software to create, update, and monitor project schedules, identifying and mitigating risks to maintain progress

• Plan and coordinate complex traffic and utility diversions, ensuring minimal disruption and compliance with regulatory standards

• Collaborate with project teams and stakeholders to support project delivery aligned with Land Transport Authority (LTA) requirements

• Commit to sustained involvement in assigned projects through to successful completion, ensuring continuity and accountability

Preferred competencies and qualifications:

• Experience with LTA projects

• Willingness to commit to project duration until successful completion

• Microsoft office (PPT, Word, Excel), Primavera6 available user.

Please apply via this link - https://beex.breezy.hr/p/b6b7275b897f-robotics-autonomy-software-engineer

BeeX is seeking an experienced and innovative Robotics Autonomy Software Engineer to join our fast-growing deep-tech startup.

WHY JOIN US?

We're pioneering the world's most advanced Hovering Autonomous Underwater Vehicles (HAUVs) and Autonomous Robotics-as-a-Service (ARaaS) to safeguard critical underwater infrastructure in the maritime, energy, and defense sectors while drastically reducing carbon emissions. The industries we serve needs new ways to overcome their current challenges, and BeeX is delivering exactly that.

Creating anything new is very hard. To achieve this, we need outstanding people. At BeeX, everyone is united by enthusiasm for bold innovation. Our multi-disciplinary team thrives in dynamic environments, driving transformative advancements globally.

What you can achieve at BeeX depends on what your goals are. By joining our fast-growing startup, you will be exposed to different aspects of Deeptech, from design to commercialisation. Join us to make a meaningful impact on the world!

If you thrive in a dynamic, fast-paced environment and are excited about using cutting-edge robotics to make a meaningful global impact, we want to hear from you.

What You'll Be Doing (Job Scope)

You will be working on the core autonomy stack for our HAUVs. You will report directly to the Software Lead and frequently collaborate with hardware and operational teams.

• Develop mission-critical and safe autonomous mission planning software.
• Develop perception and fusion algorithms utilising sensors such as monocular cameras and Sonar/Multibeam.
• Train deep learning models (e.g., semantic segmentation networks) for the detection and tracking of targets to enable advanced robotic maneuvers and intervention.
• Implement optimal path planning strategies to ensure efficient inspection coverage, adhering to standards like CSWIP 3.3U/3.4U.
• Develop middleware drivers to link hardware with the robotics software stack.
• Mentor and guide junior engineers in achieving their technical outcomes.
• Test and debug robotics algorithms using Software-in-the-Loop (SITL) simulation.

What We're Looking For (Desired Qualities & Skillsets)

We are looking for an outstanding individual who is united by enthusiasm for bold innovation and has a proven background in complex robotic systems.

• PhD/Msc in Computer Engineering or Computer Science.
• Proficiency in C++ and Python within a Linux environment.
• Extensive experience writing code for complex robotic systems and familiarity with the Robot Operating System (ROS1) framework.
• Proficiency in the usage of Deep Learning frameworks such as Pytorch.
• Experience with 3D computer vision techniques.
• Experience with SLAM for localisation methods and various path planning algorithms.
• Experience with sensor and actuator hardware integration.
• Testimonial of 2 other engineers who have worked with you

Remuneration & Benefits

We are committed to recognizing and rewarding outstanding talent.

• Market competitive salary.
• ESOP / equity participation.
• Growth opportunities aligned with your direct contribution to the company, not an arbitrary corporate ladder.
• Healthcare support
• Support for skills upgrading/learning credits
• Special access to industry events.
• Well-stocked pantry with great snacks

Please apply via this link - https://beex.breezy.hr/p/b6b7275b897f-robotics-autonomy-software-engineer

Position Overview

We are seeking an experienced Test Engineer with a strong background in software quality assurance and Agile delivery. The successful candidate will be responsible for designing, executing, and improving test strategies across the development lifecycle to ensure the delivery of high‑quality, reliable, and secure software products.

You will work closely with developers, product owners, and business stakeholders to test early, test often, and uphold quality at every stage of the Agile process.

Key Responsibilities

Quality Engineering & Test Design

• Design, develop, and execute test strategies, plans, and test cases to ensure software quality throughout the Agile development lifecycle.
• Design and execute test cases based on acceptance criteria, ensuring new features meet defined quality standards.

Testing & Automation

• Contribute to the automation of test cases and continuous testing processes using relevant tools and frameworks.
• Perform manual and automated testing across functional, integration, system, and UAT stages.

Defect Management

• Identify, document, prioritise, and track defects through resolution.
• Collaborate closely with developers to triage issues, verify fixes, and ensure timely closure.

Agile Collaboration

• Work alongside developers and product owners to test early and frequently within each sprint.
• Ensure quality is maintained consistently throughout the Agile lifecycle.
• Support UAT efforts through preparation of evidence, test artefacts, and functional validation.

Documentation & Reporting

• Ensure test results, logs, and evidence are properly documented and audit‑ready.
• Produce clear, comprehensive, and structured test plans, test cases, and bug reports.

Requirements

• Bachelor’s Degree in Computer Science, Information Systems, Engineering, or a related field.

Extensive professional experience with demonstrated expertise may be considered in lieu of formal qualifications.

• At least 5 years of experience in software quality assurance or testing roles within Agile teams.
• Proficient in manual and automated testing techniques, including unit, integration, system, and UAT testing.
• Experience with test automation frameworks and tools (e.g., Selenium, Cypress, JUnit, TestNG, or similar).
• Familiarity with Agile testing methodologies and continuous testing in CI/CD environments.
• Strong ability to collaborate with developers, business analysts, and users to ensure high‑quality deliverables.
• Highly proficient in writing detailed test plans, test cases, and bug reports with strong attention to detail.

What We Offer

• Opportunity to work on impactful public sector digital platforms.
• Team-first culture with collaborative Agile practices.
• Access to modern testing tools and cloud-based DevOps environments.
• Structured career progression and skills development support.

Manage technology yield and performance of the products. Provide advice on aspects of semiconductor process technology and maintain and repair semiconductor equipment.

Job Requirement:

• To own, maintain and improve the following indices: Quality, Uptime and Cost.
• Sustain equipment KPI and make continuous improvements to enhance the performance.
• Monitor and control equipment performance indices. Optimize PM procedures to make it more effective and efficient.
• Coordinate with both process and manufacturing Engineers to ensure work is carried out efficiently to meet module objectives.
• Manage the logistics for parts so as to prevent prolonged uptime losses in the case of equipment failure.
• Manage the expenditure allocated for equipment maintenance without compromising on quality output.
• Continuous improvement of equipment KPI in terms of quality, uptime and costs.
• Plan and implement an effective Preventive Maintenance program on equipment.
• Coach and Mentor subordinates to ensure that skill level and knowledge are up to date, and continuously give feedback on their work performance.
• Document Corrective Action and Best Known Methods, and Fan it out to all for maximum ROI and learning.
• Participate in CIP programs to optimize equipment utilization and cost of maintenance.
• ecome the technical Expert for the respective machine specialization.
• Know how to use SPACE to monitor and analyze SPC charts. Know how to use measurement instruments effectively in data collection.
• Understand FMEA and be able to generate FMEA analysis for new tool. Able to utilize it to identify tool weaknesses and derive the top 3 to 5 risk factors.
• Able to create PROMIS (SiView) DC OP and SPC charts.
• Coordinate new equipment start-up to support production, from facilities hookup, vendor startup, to acceptance of equipment for production.
• Wafer scrap reduction awareness and mindset.
• Follow up on SPSR, MRB, 8D, TECN, and ECN documentation for closure of issues / events. Provide guidance to Junior Engineers.
• Self audit and update specifications to meet TS16949 Quality Standard requirements.
• Set Expectation and carry out performance appraisal for Technician or AE as instructed by Section Manager.

Job Requirements:

• Degree in Electrical / Electronics / Mechanical / Mechatronics / Microelectronics / Materials / Material Sciences Engineering
• Min 3 years of relevant work experience in Etch Equipment with LAM tools experience in the semiconductor industry.
• An excellent team player with good interpersonal, communication and written skills
• Strong logical thinking capability and good analytical skill
• High level of integrity with strong leadership attributes to lead and coach a team
• Highly committed with good ownership and accountability
• Able to adapt in a fast pace environment and work under pressure
• Proficient in MS Office Applications

Project background

FHT2 is an NRF-CREATE programme co-funded by the National Research Foundation (NRF), ETH Zurich, and NHG-NTU, and represents the second phase of the FHT initiative launched in 2020. The programme brings together psychologists, neuroscientists, computer scientists, engineers and clinicians to develop next-generation digital health solutions.

The Software Engineer will join the Monitoring and Supporting Cognitive Health in the Community project. This project focuses on the development and deployment of an AI-powered mobile platform designed to assess, monitor, and support cognitive health during real-world navigation. The platform integrates cognitive and navigation assessments, smartphone sensor data, and AI-driven conversational agents.

A central component of the project is the development of a robust, scalable, and user-friendly mobile application ecosystem across iOS, Android, and web platforms. The Software Engineer will play a key role in building and maintaining this system, enabling real-time interaction, data collection, and AI-driven feedback. The project is closely aligned with Healthier SG and the Action Plan for Successful Ageing, with clear pathways for real-world deployment in Singapore.

Job description

The successful candidate will be responsible for the design, development, and maintenance of a cross-platform mobile and web application for cognitive health monitoring and support.

Working within a highly multidisciplinary team across the Singapore-ETH Centre (SEC), NUS, and NTU, the Software Engineer will collaborate closely with researchers, designers, and clinicians to translate research prototypes into reliable and scalable software systems.

Key responsibilities include developing and maintaining mobile applications for iOS (Swift) and Android (Kotlin), as well as contributing to the web-based frontend (ReactJS) and backend services (NodeJS). The candidate will implement features enabling user interaction with AI-driven conversational agents, integrate APIs and sensor data pipelines, and ensure smooth communication between frontend and backend systems.

The role also involves optimizing app performance, ensuring data security and privacy, and supporting deployment and testing in real-world environments. The Software Engineer will contribute to system architecture decisions and help establish best practices for scalable and maintainable software development.

Given the translational nature of the project, the position offers the opportunity to work on impactful real-world applications at the intersection of AI, mobile computing, and digital health.

Selection Criteria

Applicants should hold a Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. Salary commensurates with educational qualifications and work experience.

Strong programming skills and hands-on experience in modern software development are essential. In particular, candidates must have experience in:

• ReactJS for web frontend development
• NodeJS for backend development and API design
• Swift for iOS application development
• Kotlin for Android application development

Experience with full-stack development and building end-to-end applications is highly desirable. Familiarity with RESTful APIs, cloud services, and database systems is expected. Experience with mobile app deployment, testing, and maintenance on both iOS and Android platforms is required.

Experience in user interface (UI) design and user experience (UX), particularly for mobile or interactive applications, is considered a strong advantage.

Exposure to integrating AI components (e.g., LLM-based services), handling real-time data, or working with sensor data is beneficial but not required.

The successful candidate should demonstrate strong problem-solving skills, a structured and pragmatic approach to software engineering, and the ability to work independently as well as in a collaborative, interdisciplinary team. Good communication skills in English are required. An interest in developing impactful applications in healthcare, human-computer interaction, or AI-driven systems is highly valued.

Why SEC is your employer of choice?

• Accredited with 5 Tripartite Standards by Tripartite Alliance for Fair & Progressive Employment Practices (TAFEP) Singapore.
• A diverse workplace with 32 nationalities, offering ample opportunities for mutual learning.
• Positive and inclusive working environment.
• 25 days of annual leave for fixed-term contracts.
• 1 day of Birthday Leave.
• Annual dental benefits.
• Committed to being a supportive employer as you prioritize your physical and mental wellness.
• Comprehensive healthcare insurance coverage.
• Flexible hybrid work arrangement (up to 2 days per week from home).
• Abundant networking opportunities across various disciplines.
• Accredited with NS mark certification.

The Singapore-ETH Centre is an equal opportunity and family-friendly employer. All candidates will be evaluated on their merits and qualifications, without regards to gender, race, age or religion.

Curious? So are we.

We look forward to receiving your online application with the following documents:

• A cover letter with a specific statement of your motivation for the project.
• Your CV including the name and contact information of at least 3 references.
• A copy of your university transcripts as PDFs.

Applications via email or postal services will not be considered.

Work location: 1 Create Way, CREATE Tower, Singapore 138602 (NUS University Town)
Contract Duration: 1 Year

Further information about The Singapore-ETH Centre can be found on our website: https://sec.ethz.ch/

For further information, please contact: Dr. Rafael Wampfler (ETH Zurich) at rafael.wampfler@inf.ethz.ch, (strictly no applications)

The primary role of Engineering function within Product Development team is to create specifications and designs for new products or improvements and enhancements to existing products. Works closely with customers, developers and other stakeholders to understand and define customer needs in these designs. Features are aligned to a timetable and areas of responsibility. Developers may solicit customers for feedback regarding product usability and desired future enhancements. Software Engineers who design, write and test code for the product should be matched in the either Software Engineering Applications or Systems. Product developers who specialize in hardware systems should be matched to Hardware Engineering.

Let’s talk about Responsibilities

• The primary objective of Design Engineering specialization within Engineering (PD) Job Family is the research, design and development of thoughtful products that solve complex problems through an innovative and thorough approach to product development.

• Key responsibilities include integrating ideas that take into account the needs of our customers, usability, therapy, technology trends, intellectual property, environmental factors and design for high volume manufacturing; Building relationships that foster passion for design and delivery of ground breaking products; Understanding people and producing thoughtful products that make their lives better

• Performs work in a specialized area of expertise that requires knowledge of fundamental themes, principles and concepts. Typically requires a university degree or equivalent work experience.

• Responsibilities might include:
  
  (1) Performing routine professional-based activities (early in career)
  
  (2) Contributing to and managing projects (mid-career)
  
  (3) Providing advice/direction in primary areas of expertise (specialist and expert)
  
  (4) Leveraging professional expertise and relationships to contribute to strategy and drive business results (principal)relationships to contribute to strategy and drive business results (principal)

• Networks with contacts outside own area of expertise.

• Leads a cooperative effort among members of a project team.

• Works independently, with guidance in only the most complex situations.

• Frequently leads sub-functional teams or projects and train and mentor junior team members.

• Serves as a best practice resource within own area of work.

Let’s talk about Qualifications and Experience

Required:

Preferred:

• Bachelor’s degree.

• Minimum of 2 years of related experience.

• Applies functional knowledge and existing methodologies to solve complex problems or execute specialized projects.

• Exercises judgment in selecting methods, techniques and evaluation criteria for obtaining results.

• Determines methods and procedures on new assignments.

Position Summary:

The Sr. Infrastructure Engineer is responsible for the provision of the infrastructure platform: network equipment (switches, routers, firewalls) and compute equipment (servers and workstations), including the deployment of the SOE (Standard Operating Environment) for the respective project and/or bid activity. The Engineer is a key member of the Hardware and Infrastructure discipline team that provides:

• Technical and resource supervisory input to network integration and infrastructure deployment engineering activities,

• skilled input to the network integration and deployment activities within the respective project engineering segment, and

• assistance to the Integration Group for bid response activities.

Responsibilities:

The Sr. Infrastructure Engineer provides effort and expertise in two areas: Projects and Bids.

For Projects:

• Revising solution architecture drawings and diagrams, cost templates (devis), the List of Supplies (LoS) / Bill of Materials (BoM), and interfaces at the start of the project.

• Create and/or update network integration engineer contributions to the Solution Specification and Design documentation, Network Acceptance Test Procedures, and other associated network integration documents.

• Reviewing definition documents, solution specifications, design documentation, acceptance test procedures and other associated documentation to align with project objectives, and participating in the product integration and verification phases

• Defining equipment configuration for the ATM solution(s) and coordinating with Hardware Deployment and Integration management for the assembly of the ATM system. Also interface with Tools Engineering, Customer Service and Site Services departments where necessary to accomplish this task.

• Load, configure, validate, and hand over equipment to Software Integration in the factory and on customer sites.

• Support configuration changes to system platforms in factory and customer sites.

• Attend Design Reviews with customers.

• Provide customer training.

• Identify risks at solution architecture level and propose where possible alternate validated solutions.

• Provide system and networking expertise useful in the design.

• Follow and contribute to the development and enhancement of engineering processes.

For Bids / Tenders:

• Definition of system hardware architecture and interfaces.

• Develop and peer review of the system Architecture Diagrams.

• Develop and peer review of the List of Supplies (LoS) / Bill of Materials (BoM)

• Develop hardware integration engineering estimates (devis)

Requirements (key knowledge and experience):

• Bachelor’s degree in Electronic Engineering or Computer Science discipline or any other relevant fields, with at least 5 years of relevant experience

• Good level of knowledge of, and experience with Linux Operating System (Red Hat Enterprise Linux distribution preferred)

• Experience in scripting and programming languages (Shell, Python)

• Experience in large and distributed networked computer systems is a highly desirable

• Good understanding of networking protocols (e.g., IPSEC, HSRP, BGP, OSPF, 802.11, QoS) and Hands-on experience with monitoring, network diagnostic and network analytics tools

• Familiarity with a wide range of compute (HP, HPE, Lenovo, Dell) and networking (Cisco, Juniper) hardware from major manufacturers

• Work experience in a mission-critical environment (ATC-related is highly desirable)

• Solid understanding of hardware integration and testing processes

• Practical experience of validation and integration of hardware components on large, complex, software-based systems

• Strong communication skills, with the ability to write clear and concise documents that clearly articulate complex technical detail

• Able to work on multiple activities concurrently and effectively self-manage (autonomy)

• Able to work under pressure

• Cisco formal certifications (CCNP, CCNA etc) is desirable

• Cisco/Juniper NW automation desirable

General/Special Requirements:

• Assist in ensuring a harmonious work environment in all departments that you are working with by upholding Thales' key values.

• An advocate for diversity and inclusion who will be actively involved in implementing change initiatives to achieve our diversity goals

• An advocate for a culture of continuous improvement

• An advocate for Accountability, transparency and curiosity

• Comply with all relevant company Occupational Health, Safety and Environmental policies and framework and work practices with the intent of preventing or minimising accidental exposures to self, colleagues, visitors and/or the environment and to ensure a safe work practises at all times.

• Comply with all relevant Company policies and procedures.

• Be eligible for Security Clearance from the Singapore Ministry of Home Affairs (CAT2)

Job Responsibilities :

We are seeking skilled AI Software Engineers to design, develop, and deploy AI-powered solutions. This role involves building scalable AI systems, integrating AI / Machine Learning (ML) models into applications, and optimizing AI workflows for production. You will collaborate closely with data scientists, software engineers, and DevOps teams to bring cutting-edge AI capabilities to life.

• Implement and optimize AI / ML models in production, via containerization (Docker, Kubernetes), for speed, accuracy and cost-effectiveness
• Deploy AI models using RESTful APIs, gRPC, or edge computing solutions.
• Implement monitoring, logging, and error-handling mechanisms to track AI performance.
• Design APIs and microservices to integrate AI capabilities into software systems to ensure that they are secure, performant and well-documented
• Monitor and optimize model performance in production environments, ensuring API latency and availability meet the required SLAs (Service Level Agreements).
• Build scalable, high-performance AI pipelines for real-time and batch processing.
• Implement MLOps best practices, including CI/CD for machine learning workflows on both local machines and cloud platforms
• Work closely with data scientists to turn research models into deployable solutions.
• Collaborate with DevOps and cloud engineers to ensure seamless AI model deployment.
• Stay up to date with the latest AI/ML frameworks, tools, and industry trends in API, plugins development to continuously improve and enhance API solutions.
• Identify opportunities to improve existing AI API / plugins architectures and suggest new features or services to add value to AI products.

Pre-Requisites :

• 6+ years of experience in AI/ML software development.
• Proven track record of deploying AI solutions in production environments.
• Strong experience in deploying AI models and API development using RESTful APIs, gRPC, or edge computing solutions.
• Strong programming skills in Python, Java, or C++.
• Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• In depth understanding of containerization (Docker, Kubernetes) and DevOps practices.
• Experience in developing and deploying AI applications running both edge deployment (TensorRT, ONNX, TFLite) and on cloud infrastructure (AWS, Azure or Google Cloud Platform) using Infrastructure as code tools such as Terraform and also cloud AI services (AWS SageMaker, Google Vertex AI, Azure ML).
• Experience with database management (SQL, NoSQL, and vector databases).
• Knowledge of distributed computing (Spark, Dask) and parallel processing.
• Ability and willingness to learn any new technologies and apply them at work in order to stay ahead, in a fast paced, high pressure, agile environment
• Excellent written and verbal communication skills for coordinating across teams.

Education & Experience

• Has a Bachelor’s or Master’s degree in computer science, AI or similar discipline from an accredited institution

Travel Requirements

• Role based in Singapore office and may require up to 1 travel trip per year.