The key functions of Process Engineer is to:

1. Applies Engineering principles and techniques to optimise production process in the fab to meet department and organization goals and objectives

2. Analyse and troubleshoots process engineering, manufacturing, and maintenance issues, and recommend engineering solutions or developed work instructions for out of control processes

3. Leads production and manufacturing systems, improvement projects and develop operation plans in accordance with department and organization objectives alighn with regulatory requirements.

Tasks:

• Analyze SPC charts using SPACE. Know all the PR rules and their significance. Do proper annotation to maintain quality troubleshooting rate for SPC OOC. Understand Cp and Cpk indices.
• Analyze split lot, DOE data, ET, sort yield using JMP, Klarity ACE.
• Create SPC charts, DCOP and modify SLDB using PROMIS (Si-View).
• Upload recipe, check recipe and ensure recipe content compliance using RMS.
• Follow up on SPSR, MRB, 8D, TECN, or spec update with ECN. Provide guidance to junior Engineers.
• Setup and troubleshoot issues in recipes/ job files in all metrology tools within the Module.
• Analyze data from passed down to identify chronic process issues, establish improvement programs and lead engineers to resolve them. Establish CAS / procedures to be followed and work with other departments for resolution if required.
• Work as a team with both Equipment and Manufacturing Engineers to meet Module objectives. Drive team to meet key indices of Uptime and OEE as per the goals set for these indices.
• Take on leadership roles to drive a small cross functional task team to address yield improvement/ excursion issues.
• Facilitate/ initiate CIP programs to optimize process window, cost, yield, and productivity. Establish plans and strategies to optimize process capability to meet operational requirements.
• Resolve complex technical issues in own Module or yield related issues
• Follow up with cross-fab benchmarking activities to engage the best-in-campus practices across fabs.
• Self audit and update specifications / documentation to meet TS16949 Quality Standard requirements.

Requirements:

• Degree in Electrical / Electronics / Microelectronics / Chemical Process / Chemistry / Physics / Material Sciences / Mechanical
• Min 3 years of relevant work experience in Thin Film CMP Process
• 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

Job Descriptions:

Using levitation, we aim to isolate and control physical systems with unprecedented precision. The rapidly evolving field of levitodynamics explores how such systems can be used as quantum sensors and for testing fundamental physics. Most current levitated systems are limited to small masses (nano/microgram) and rely on incoherent optical interactions, which scatter rather than reflect light.

By leveraging platforms such as diamagnetic, superconducting, and optical levitation, we aim to create ultra-precise quantum sensors and explore profound questions in physics, including quantum collapse mechanisms and quantum gravity.

The successful candidate will contribute to activities such as:

· Modeling the dynamics of levitated systems.

· Learning to operate advanced cryogenic systems.

· Designing, constructing, and characterizing optical systems.

· Exploring novel techniques to exceed the standard quantum limit using correlated spin systems.

Key Responsibilities:

· Modeling: simulate the dynamics of magnetically and optically levitated systems.

· Fabrication: Develop advanced materials and components for levitation systems.

· System Design: Build and test optical systems and feedback-control mechanisms.

· Research & Innovation: Investigate groundbreaking applications in quantum sensing and fundamental physics.

Job Requirements:

· Bachelor/Master degree in Physics, Applied Physics, Precision Instrumentation, or related fields.

· Strong motivation for multidisciplinary research in quantum technologies and fundamental physics.

· Experience in one or more of the following is highly preferred:

Superconductivity

Quantum sensing

Cryogenic systems

Feedback-control systems

Optical systems design

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.

About VSMC

VisionPower Semiconductor Manufacturing Company Pte Ltd (VSMC) is a new joint-venture 300mm semiconductor wafer manufacturing facility to be built in Singapore. We are looking for committed, resilient and passionate talents to launch a promising future that power the next generation devices and systems. If you share the same passion to pursue excellence, join us to make an impact and be part of something special!

Role Summary

You are responsible for identifying, assessing and advising on risks arising from the workplace health, environmental and/or work processes, recommending measures to eliminate or minimize and control the risks and implementing the measures.

Key Responsibilities

• Conduct job and environment hazard and risk assessments, perform workplace evaluations, and implement corrective and preventive actions
• Apply relevant licenses, conduct tests and provide necessary inspection reports on environment and safety to drive improvement
• Lead and continually review existing and new Fab processes and equipment for EHS compliance, including managing waste, air, water, chemicals, gas and others
• Manage semiconductor process safety, establish Environment, Health and Safety (EHS) culture, implement and enhance the EHS program for employees and contractors
• Perform regular and ad-hoc inspections. audits and supervise hazardous operations safely
• Lead and facilitate ERC (Emergency Response Committee) related activities such as factory emergency response, fire, gas leak and others
• Collaborate with relevant departments for ISO14001, ISO45001, ISO14064, and ISO50001 management systems certification and compliance
• Provide technical, regulatory and process guidance to address emerging EHS issues

Education Qualification & Essential Experiences

• A bachelor’s degree or higher in Engineering or Science background including Occupational Safety, Chemical Engineering or Chemistry, environmental science and emergency response or management
• Minimum of 3 years of experience in semiconductor, electronics manufacturing, or other chemically intensive manufacturing industries and regulatory compliance preferred.
• Possess industrial safety, environmental protection, and fire protection related certificates
• Must be available to travel to Taiwan for a training period lasting 6 to 9 months

Key Skills and Attributes

• Strong analytical skills and able to work under pressure in a fast-paced environment
• Good interpersonal, leadership and communication skills to work effectively across functions and geographical teams with diverse background
• Goal driven and an excellent team player that can work under pressure in a dynamic and fast-paced environment
• Has a growth mindset, prioritizing adaptability, resilience, innovation, and ongoing learning to support business needs

VSMC promotes diversity and inclusivity in our workforce; and hiring will be conducted in phases

POSITION SUMMARY:

This role is responsible for building and maintaining a robust data foundation to drive commercial growth, operational excellence, and data consolidation within the region. Reporting to the Senior Lead, Data & Analytics and collaborating closely with the Corporate team, you will be instrumental in designing, developing, and implementing data pipelines, data models, and AI algorithms to optimize commercial performance, improve forecasting, enhance supply chain visibility, and reduce data redundancy.

The overarching objective is to transform data into actionable insights to drive business growth and efficiency. You will work closely with cross-functional teams across the region to establish and streamline data processes, ensuring data quality and consistency. Your role will involve managing and optimizing diverse data sources, including sales, marketing, supply chain, finance, customer, and operational data, to derive actionable insights for business decision-making. By harnessing the power of data and AI, you will contribute to defining the future of customer experience and driving overall business success.

KEY RESPONSIBILITIES:

• Design, develop, and maintain efficient data pipelines to extract, transform, and load data from various sources, including ERP, CRM, supply chain systems, third-party platforms, e-commerce platforms (via APIs), and omnichannel engagement platforms into a centralized data warehouse and on-premise systems.
• Identify opportunities to consolidate data sources and reduce redundant data subscriptions, including from omnichannel engagement platforms.
• Develop and maintain a data catalogue to improve data accessibility for commercial teams and enhance data-driven insights from omnichannel customer journeys.
• Create and manage master data related to products, customers, suppliers, inventory, and third-party data to ensure data consistency and accuracy for commercial analysis and data consolidation efforts, including data from omnichannel engagement platforms.
• Develop and implement data models to support sales forecasting, customer segmentation, pricing optimization, and other commercial initiatives while aligning with the company's data consolidation strategy and leveraging data from omnichannel engagement platforms.
• Build and maintain a scalable and secure data infrastructure to accommodate increasing data volumes and variety to support commercial growth, data centralization, and integration of omnichannel engagement data across both cloud and on-premise environments.
• Collaborate with commercial teams and other departments to identify data-driven opportunities, including leveraging third-party data insights and data from omnichannel engagement platforms, and translate business requirements into actionable data solutions that contribute to data consolidation.
• Develop and implement a strategy to create a unique customer identifier across all omnichannel touchpoints.
• Identify and prioritize new data sources within the region, including data from emerging omnichannel engagement platforms, to enhance commercial intelligence and support business growth while considering opportunities for data consolidation and cost reduction.
• Conduct exploratory data analysis, including analysis of third-party data and data from omnichannel engagement platforms, to identify patterns and trends that can drive revenue growth, improve profitability, and inform data consolidation efforts.
• Ensure data quality and integrity, including validation of third-party data and data from omnichannel engagement platforms, through data profiling and cleansing to support accurate commercial reporting and data consolidation initiatives.
• Optimize data pipelines and query performance to handle diverse data sources, including data from omnichannel engagement platforms, efficiently and enable timely commercial insights while maximizing data utilization across both cloud and on-premise environments.
• Provide technical support to commercial teams and data analysts in utilizing data-driven insights, including those from omnichannel engagement platforms, to improve business performance and contribute to data consolidation goals.
• Collaborate with the Corporate team on data strategy, standards, and best practices to align regional data initiatives with overall commercial objectives, data consolidation efforts, and the effective utilization of omnichannel engagement data.
• Design, develop, and deploy AI models on-premise to address data privacy and security concerns.
• Manage data governance and compliance requirements for both cloud and on-premise data environments.

KEY REQUIREMENTS:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
• At least 3 years of experience in data engineering, including data ingestion, transformation, and modeling, with a focus on integrating diverse data sources across cloud and on-premise environments. Experience with pharmaceutical industry data and regulations is a plus.
• Strong proficiency in SQL and data warehousing concepts for both cloud and on-premise platforms.
• Experience with Python for data manipulation and analysis, including API integration and model development.
• Experience with on-premise data management and security best practices.
• Understanding of cloud-based data platforms (e.g., AWS, GCP, Azure) and on-premise data infrastructure. Experience in Google Cloud Platform is preferred.
• Knowledge of supply chain management principles and processes is preferred.
• Able to process datasets in Mandarin language, and to interact and work closely with Mandarin- speaking stakeholders.
• An innovative mindset combined with an agile way of working and adaptability to a fast-paced environment.
• Strong analytical and problem-solving skills.
• Strong documentation skills.
• Excellent communication and interpersonal skills - Ability to communicate with both technical and business teams.
• Strong time management and organizational skills - Ability to manage multiple projects and prioritize tasks.
• Attention to detail and accuracy.
• Ability to work effectively both independently and as part of a team - Ability to work cross-functionally and across local markets within APAC region.
• Able to commit for 1 year contract.

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

IC Designer, designing high frequency circuits targeting for transceiver applications, employing CMOS technology. The candidate needs to come up with novel architecture with speed, power, and area advantage compared to existing architecture.

The job also includes circuit design, pre and post-layout simulation, mask layout and PCB testing.

Qualifications

• Bachelor or Master degree in Electrical Engineering.
• Experience in EDA tools usage, including Cadence, Spectre, EMX, Synopsys, as well as Matlab.
• Some knowledge on communication system, such as BER, eye diagram, modulation/demodulation, pre-emphasis and etc.
• Open to Fixed Term Contract.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a highly motivated Research Engineer to join our team, specializing in the hands-on experimentation and characterization of materials. The successful candidate will work closely with the research team to conduct materials characterization, perform electrochemical testing, and contribute to the development of innovative solutions for lithium battery recycling. This role requires a candidate with hands-on experience in material science techniques and electrochemical methods.
Key Responsibilities:

1. Perform experiments and characterization of materials using analytical techniques such as ICP, XRD, and FTIR.
2. Conduct electrochemical analysis, including cyclic voltammetry, LSV and other related techniques.
3. Prepare samples for testing and ensure proper calibration and maintenance of equipment.
4. Analyze and interpret experimental data, providing clear and concise reports to the research team.
5. Collaborate with cross-functional teams to ensure experimental objectives are achieved.
6. Maintain accurate records of experiments and uphold laboratory safety protocols.
7. Assist in troubleshooting and optimizing experimental procedures as needed.
8. Assist in lab procurement activities.

Qualifications

1. Bachelor’s or Master’s degree in Materials Science and Engineering, Chemical Engineering, or a related field.
2. Hands-on experience with material characterization techniques such as ICP, XRD, SEM and FTIR.
3. Proficiency in electrochemical methods is highly preferred.
4. Strong analytical and problem-solving skills with attention to detail.
5. Effective communication skills, both written and verbal, to document and present findings.
6. Ability to work independently as well as collaboratively within a team.
7. Knowledge of laboratory safety protocols and best practices.
8. Experience in data analysis and interpretation software (e.g., Origin).
9. Familiarity with additional characterization techniques is an added advantage.
10. Prior experience in an R&D or industrial laboratory setting.

Wärtsilä is a world leader in marine technology and leading the industry's transformation towards a decarbonised and sustainable future. With the world’s widest portfolio and service network, we – Wärtsilians - deliver efficient, safe and sustainable integrated products and solutions to enhance the business of our customers. The opportunities presented through digitalisation and new technologies are offering a new era of shipping. Did you know that shipping is the world’s most efficient mode of transportation and that approximately 90% of world trade is carried by sea?

We want to change the course towards an interconnected and cleaner maritime future and are constantly on the lookout for future-oriented talent to join our team and to work towards enabling sustainable societies through innovation in technology and services - together. Are you ready to jump onboard?

We are now looking for a Service Engineer to strengthen the Field Service Resource team in Singapore. This position requires travelling to locations in and around South East Asia – approximately 50- 100 travel days a year.

This is a permanent opportunity, and its location is Pandan Cresent, Singapore.

What will you be doing as Service Engineer?

Your work will focus on these responsibilities:

• Perform Field Service activities according to the work plan.
• Perform overhauls and repairs on assemblies on site and/or in workshops.
• Interact professionally with customers during the work execution.
• Perform internal and external progress status of the assigned work.
• Create the Service Work Reports.
• Ensure that the work is executed according to QSHE guidelines and site procedures and policies
• Follow-up and report on the status of work orders to customer and/or internal stakeholders.
• Continuously seek for solutions in according to best practices.

To be successful in this role, we expect you to have:

• Mechanical knowledge in propulsion equipment
• Self-motivated, analytical & fault-finding skills
• Mature, hardworking, have good anticipation with a problem-solving attitude
• A team player with a positive mindset & ability to adapt / work in a challenging environment
• Good written & communication skill
• Diploma or NITEC in Mechanical Engineering
• At least 2 year working experience in related field

At Wärtsilä we value, respect and embrace all our differences, and are committed to diversity, inclusion and equal employment opportunities; everyone can be their true self and succeed based on their job-relevant merits and abilities.

This is Wärtsilä

Wärtsilä is a global leader in innovative technologies and lifecycle solutions for the marine and energy markets. Our team of 17,800 professionals, in more than 280 locations in 79 countries, shape the decarbonisation transformation of our industries across the globe. Read more on www.wartsila.com.

We are seeking a skilled and proactive Network Maintenance Engineer to provide comprehensive support for multiple customer network environments. This role involves maintaining and troubleshooting a wide range of network devices, including routers, switches, access points (APs), Wireless LAN Controllers (WLCs), Cisco Identity Services Engine (ISE), as well as supporting Windows servers and laptops. The ideal candidate will have a strong background in helpdesk support, network and system maintenance, with a customer-focused and solution-oriented mindset.

Key Responsibilities:

• Helpdesk and Troubleshooting:
  • Act as the primary point of contact for support requests across multiple customer environments.
  • Investigate and resolve network and system-related issues, such as connectivity problems, faulty devices, or server issues.
  • Provide laptop and Windows server support, addressing common problems like login failures, configuration errors, and hardware issues.
  • Simulate customer environments to replicate and diagnose complex issues.
  • Document resolutions and create knowledge-based articles for future use.
  • Stay updated on changes across all supported customer environments.
• Maintenance and Change Request:
  • Replace or repair faulty network and system equipment, such as access points, switches, and laptops.
  • Implement minor network and system configuration changes, including enabling switch ports, changing VLANs, onboarding new devices to Cisco ISE, or updating Windows server configurations.
  • Firmware and OS patching for network and system equipment.
  • Ensure all network and system devices are operating optimally and securely.
• 24x7 Standby and Incident Response:
  • Participate in a 24x7 standby rotation with a duty phone for handling urgent incidents.
  • Respond promptly to calls and emails, diagnosing and resolving issues to restore normal operations.
  • Manage multiple incidents simultaneously, ensuring effective communication and resolution for all customers.
• Testing and Collaboration:
  • Test product updates, patches, and integrations to ensure compatibility and stability.
  • Collaborate with internal teams and external vendors to resolve complex issues.
• Documentation:
  • Maintain detailed and accurate documentation of network configurations, system setups, incident responses, and maintenance procedures.
  • Ensure all team members have access to up-to-date customer system information.

Required Qualifications:

• Education: Bachelor's degree in Computer Science, Information Technology, or a related field.
• Experience: Minimum of 1 year of experience as a maintenance engineer, with a focus on maintenance of enterprise environments, preferably in customer-facing roles.

Technical Skills:

• Proficiency in working with various network products, including Cisco, Juniper, Alcatel, and Aruba.
• Strong expertise in maintaining and troubleshooting network components such as routers, switches, APs, WLCs, and Cisco ISE.
• Experience in supporting Windows servers and laptops, including hardware and software troubleshooting.
• Familiarity with common system administration tasks like user account management, group policies, and server configuration.
• Ability to simulate customer environments for diagnostic purposes.
• Excellent communication and problem-solving skills with a customer-centric approach.
• Detail-oriented with the ability to manage multiple tasks simultaneously

Preferred Qualifications:

• Certifications in networking related technologies.
• Experience in a maintenance-focused role serving multiple external customers.

Soft Skills:

• Strong problem-solving and analytical skills.
• Excellent communication and customer service abilities.
• Ability to work under pressure and manage critical incidents effectively.
• Detail-oriented with a commitment to maintaining high standards of network and system reliability.

We are seeking a skilled AWS Data Engineer to join our team and support our data initiatives within the Singapore Public Sector. The ideal candidate will have extensive experience in ETL processes, data loading, and data management using AWS services.

Responsibilities

• Perform end-to-end data loading using AWS Glue and Lake Formation.
• Develop and manage ETL workflows using AWS Lambda, Step Functions, PySpark, and Python scripts.
• Load data into AWS RDS and manage data storage in S3 Buckets.
• Provide data for BI reporting using Tableau, leveraging data from S3 Buckets and RDS.
• Implement and manage AIML workflows in AWS using SageMaker, including model building and deployment.
• Utilize AWS Bedrock for advanced data processing and analytics (knowledge and experience with AWS Bedrock is a plus).
• Install and configure native AWS services as required.

Requirements

• Proven experience with AWS Glue, Lake Formation, Lambda, Step Functions, PySpark, and Python.
• Strong understanding of AWS RDS, S3 Buckets, and data management best practices.
• Experience with BI reporting tools, particularly Tableau.
• Familiarity with AIML workflows and model building using AWS SageMaker.
• Knowledge of AWS Bedrock is a plus.
• Experience with the installation and configuration of AWS native services is a plus.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

Preferred Experience

• Previous experience working within the public sector.
• AWS certifications related to data engineering and machine learning.

About Cognizant

Cognizant (NASDAQ-100: CTSH) is one of the world's leading professional services companies, transforming clients' business, operating and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant is ranked 195 on the Fortune 500 and is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com or follow us @Cognizant.

Summary

Equipment Engineer is responsible for the installation, troubleshooting and maintenance of production equipment.

Responsibilities

• Initiate meeting within the team or with cross functional counterparts to resolve complex integration issues and chronic hardware issues.
• Manage and plan new equipment start-up to support production, from facilities hook-up, vendor startup, to acceptance of equipment for production.
• Establish Preventive Maintenance (PM) plans for all equipment taking into account safety and optimize PM for quality, cost, and productivity. Including spare review, planning, budgeting and tracking.
• Establish and document work process and conduct self-audit to ensure specifications meet company Quality Standard requirements.
• Possess knowledge on SPC, DOE, FDC, ECMS and all the statistical analysis tools to help optimizing equipment robustness.
• Familiar and follow up on SPSR, MRB, 8D, TECN, ECN ISO9001/QS9000/TQM documentation for closure of issues / setup system.
• Any other ad-hoc duties as assigned.

Requirement

• Minimum bachelor's degree in Electrical / Electronics / Mechanical / Mechatronics Engineering
• Hands-on experience in equipment maintenance or troubleshooting
• Experience in a semiconductor/electronics/electrical manufacturing industry preferred
• Fresh graduates are welcome to apply

As a Cloud DevOps Engineer, you will run and support the company’s software application infrastructure in the cloud, ensuring the optimized use of resources to scale.

What will you do

• Design, develop, and implement cloud infrastructure as code using Terraform.
• Manage and optimize cloud resources for cost-efficiency and performance.
• Secure infrastructure by implementing best practices and adhering to security compliance standards.
• Implement robust monitoring and alerting systems for infrastructure resources.
• Collaborate with developers and operations teams to integrate infrastructure changes seamlessly into the software development lifecycle.
• Champion DevOps best practices for cloud infrastructure management.
• Setup, monitor and support CI/CD pipeline on premise or in the cloud.
• Stay up to date on the latest AWS services and Terraform features.

What do we expect

• Proven experience as a DevOps Engineer with at least 3 years of experience (with a focus on AWS cloud infrastructure).
• Implementation proficiency in service control policy and account governance (Control Tower, OU management, etc.).
• Enable and configure AWS VPC flow logs, load balancer logging, direct connect, AWS VPN, TGX etc.
• Experience managing Unix/Linux environments.
• Extensive experience in scripting in languages such as Python/Ruby/Perl and shell scripting.
• In-depth knowledge and experience with AWS services (EC2, S3, VPC, IAM, etc.).
• Expert-level proficiency in Terraform, including writing reusable modules and leveraging best practices.
• Able to troubleshoot infrastructure issues in cloud, identify root cause and implementation improvement and fixes.
• Good knowledge of microservices architecture, container technologies (Docker, Kubernetes).
• Expertise in Git and GitOps philosophy.
• Good people skills, teamwork, collaboration with cross function and cross-geo teams.
• Self-motivated, willing to learn new technologies continuously.
• Maintain documentation for design, integration, testing, and deployment.

Good to have

• Relevant DevOps certifications (e.g. AWS).
• Some experience with other cloud providers like Azure and GCP.
• Experience with CI/CD pipelines and integrating infrastructure provisioning with development workflows.
• Knowledge on mobile and web applications development.
• Knowledge of big data and data analytics infrastructure in cloud.

Job Descriptions

• Pre Project site evaluation of electrical product/meter location and perform range test
• Develops wiring diagrams, layout drawings, and as built drawings for system or equipment modifications or expansion and directs personnel performing installation and maintenance duties.
• Installation, testing and commissioning of repeaters or wireless devices
• Follow safe work procedures to remove/ Install electrical products/meter on site
• Conduct Testing and commissioning of installed electrical products
• Ensure Testing and Commissioning reports in proper order
• Preventive Maintenance (Thermoscan/ Eeprom Downloading/ Data/System Backup)
• Perform troubleshooting and perform appropriate corrective solutions for operational equipment where appropriate
• Soldering of electronics parts
• Internal wiring/ assembly of electrical products/meter
• Burning of firmware
• Testing of defective meters
• Project Coordination to ensure works being carry out as per schedule given by working with partners or contractors
• Manage enquiries, feedback and any other operational issues
• Carries out Site survey, Project management, documentation, testing, user training and commissioning
• To ensure timely completion of schedules and new projects start up through efficient coordination of all function groups both internal and external.
• Team player

Requirements:

• Minimum ITE, NTC/ITC, NITEC in Electrical Engineering or any similar qualifications
• Ability to read and comprehend electrical drawings
• Knowledge of firmware is a plus
• Ability to multi-task and effectively manage concurrent initiatives
• Strong interest in electronics engineering and firmware
• Ability to work effectively in a dynamic working environment.
• Applicant must be willing to work during weekend when required.
• Able to draw Autocad (Would be advantage)
• Minimum 3 years relevant experience

Only shortlisted candidates will be notified.

As a Software Engineer (C++ / C#), you will be a critical team member and fully responsible for developing graphics components for our products. In this role, you will work closely with product managers, UI-UX designers and the R&D team to collaboratively solve real-world problems.

What will you do

• Design, build and maintain efficient and reliable software modules for Screening Eagle software products.
• Develop tools for real-time interactive 3D graphics applications.
• Assist other team members to implement next generation NDT solutions.
• Collaborate with team members to integrate the components to desktop, mobile and web platforms end products.

What do we expect

• BA/MA/MS/PhD degree in Computer Science, Computer Graphics, or strong experience in 3D Games / 3D experiences.
• Proficiency in C++11 and above.
• Proficiency in C# and Unity.
• Good understanding of software design patterns.
• Good knowledge of data structures and algorithms for OOP.
• Good understanding of memory management in non-garbage collected environments.
• Familiar with memory and CPU usage optimization.
• Familiar with 3D graphics pipelines and optimization techniques.
• Solid linear algebra knowledge.Experience in developing for and integrating third party software on desktop, mobile and web tech stacks.

ROLE DESCRIPTION SUMMARY

Thales is seeking suitable candidate for the position of Engineer (System Security).

You will be looking after the governance of the infrastructure and systems for mission-critical Command and Control (C2) system that Thales Solutions Asia (TSA) have developed for government agency. You will be part of a team to manage the security of system, to ensure the system adhere to the security policies, and is well protected from any threats, risks or exploits.

KEY ACTIVITIES AND RESPONSIBILITIES

As aSystem Security Engineer, you are accountable for:

Provide security expertise and management services to support Authority in activities such as:

· Internal / external audits (IM8, Cybersecurity, etc)

· Policies compliance (IM8, Cybersecurity, etc), work with vendor on:

- Vulnerability management compliance reports and patch reports

- Filing of documents and Security Scorecard for audit purpose, to produce it as required

- Monthly logs review. E.g., privilege user activities

- Vulnerability/ Compliance Assessments

- Penetration Tests and Source Code Reviews

· Disaster Recovery (DR) and Business Continuity Planning (BCP):

- All relevant activities related to the DR and BCP planning

- Checks on system backup completion by vendor and datacentre

- Document update and implementations.

· ICT/Threat Risk Assessments (TRA)

· Monthly reviews of privileged accounts and non-privileged account, disable inactive accounts

· Seek security waivers (IM8, Cybersecurity Act, Circulars etc)

· Circulate security notifications/alerts to vendors and ensure status updates too all stakeholders including cybersecurity centre

· Security monitoring/tracking:

- Monitor alerts from SOC

- Update stakeholders regarding SOC alerts

- Review compliance reports with vendors to ensure that system is compliant

- Manage, track and update any security incidents/ issues to all stakeholders

- Review Incident Report (if any)

· Patching:

- Ensure patches are tested and verified before seeking approval for patching downtime

- Communicate system downtime to all stakeholders

- Ensure system availability after patching is completed

· Obsolescence management for software licenses, hardware, operating systems and certificates

· Security enhancement/ integration

· Support the submission of security clearance for related vendors

· Perform other related duties as assigned or requested

KEY KNOWLEDGE AND EXPERIENCE

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

· Working hours will be 0830 hrs to 1800 hrs (for Monday to Thursday) and 0830 hrs to 1730hrs (for Friday), excluding weekends and Public Holidays

· Outside of working hours, to provide online support via emails and group chats when required based on the priority and severity of issues related to the system

· Able to cope in a highly pressured fast-paced environment

· Prior working experience in cyber security and vulnerability management is preferred

· Strong knowledge of security principles, best practices, and industry standards, such as NIST, ISO 27001, and CIS Critical Security Controls

· Able to understand security posture of systems

· Prior working experience in Project Management is a plus point

· Able to understand the system and software architecture, and user operations environment

· Willingness to pick up any new technologies

Education

Diploma or Bachelor’s Degree in Cybersecurity/ InfoSec/ Information Technology / Information Systems / Business IT or its equivalent

Relevant professional certifications, such as CISSP, CISM, CEH, or other security certifications

Experience

Minimally 1-2 years of experience in cybersecurity and supporting mission critical systems with very stringent SLA e.g. 99.9%

Well-versed in cybersecurity best practices and establishing of its policies

Well-versed in IT Service Management (ITSM) standards, processes, guidelines and best practices

• Involve revese enginnering based on part given.
• Create the part drawing from the component by measuring and prepare the new cnc program.
• Lead a programmer and machinist to successfully deliver the cam program for precision machined component projects
• Work closely with senior management to prepare quotation and concept dedign for new projects
• Prepare and track schedules for live projects - manage deliverables targets by designers and drafters
• Train and groom new Cnc 3d cam programmer / machinist in company
• Create, maintain and enforce workflow processes to enhance design department efficiency
• Manage team KPIs

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]

On our Perception and Prediction team, you have the opportunity to work with world-class ML engineers and research scientists, whose mission is to make self-driving vehicles a reality and to create positive social impact. Our team works on the tech stack responsible for perceiving the dynamic scenarios and predicting the future behavior of agents around our robo-taxi. We are looking for engineers who are passionate about Level 5 autonomous driving, excited by intellectual challenges, and interested in pursuing career growth with a fast growing company.


What You’ll Be Doing:

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

Bonus Points:

• Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.)
• PhD in machine learning or computer vision
• Experience working on autonomous vehicles, or related fields
• Experience in deploying models into real-world environments
• Strong programming skills in C++ and/or CUDA programming

On our Perception and Prediction team, you have the opportunity to work with world-class ML engineers and research scientists, whose mission is to make self-driving vehicles a reality and to create positive social impact. Our team works on the tech stack responsible for perceiving the dynamic scenarios and predicting the future behavior of agents around our robo-taxi. We are looking for engineers who are passionate about Level 5 autonomous driving, excited by intellectual challenges, and interested in pursuing career growth with a fast growing company.


What You’ll Be Doing:

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

Bonus Points:

• Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.)
• PhD in machine learning or computer vision
• Experience working on autonomous vehicles, or related fields
• Experience in deploying models into real-world environments
• Strong programming skills in C++ and/or CUDA programming

Mission Summary:

As a Senior Backend Software Engineer in Map Creator, you will develop backend services supporting the construction of high-definition maps that support our AV’s needs. This includes handling and maintaining large mapping datasets, and collaborating with other teams on the best approach to efficiently access map data.

What you’ll be doing:

• Design, develop, and deploy scalable backend solutions for our web-based map visualizations and editors.
• Write clean, idiomatic, and maintainable code that adheres to best practices.
• Optimize applications for peak performance and scalability to handle huge-scale data.
• Collaborate with machine learning teams to improve ML pipelines that consume mapping data.
• Mentor and guide less experienced engineers and those from other specialties, fostering their growth and collaboration.
• Exhibit proactive initiative and ownership in achieving goals, enhancing processes, and driving innovative solutions.
• Work cross-functionally with diverse teams and disciplines to develop cutting-edge map solutions and achieve shared objectives.

What we're looking for:

• Bachelors or Masters in Computer Science or related field
• 5+ years of experience in backend development, designing and building applications with ASP.NET Core, EF Core, C#, and PostgreSQL
• Experiences in designing and developing RESTful API and gRPC-based services
• Solid understanding of cloud technologies such as AWS and Kubernetes
• Experience with CI tools such as Gitlab CI and utilizing source control tools such as Git

Bonus points:

• Proficient in Python and C++
• Experience in big data tools such as Apache Spark
• Experience in geospatial tools and knowledge of GIS
• Familiarity with IaaC such as Terraform

We are looking for a Systems Engineer to support the institute’s IT infrastructure and operations. The candidate will provide level 2 and level 3 support for IT services, assist with new setups, as well as review and implementation security and compliance measures.

Requirements:

• Minimum Diploma or Bachelor’s degree in computer-related studies
• At least 5 years of relevant work experience
• Strong knowledge in servers and hardware technology
• Experience with open-source software packages and IT infrastructure services
• Good understanding of best practices and cybersecurity concepts
• Experience or strong knowledge in Linux system administration, scripting, storage, and security
• Experience with Virtualization and Containerization
• Knowledge in networking, firewalls, and routing
• Good interpersonal and communication skills
• Ability to work independently and as part of a team

Good to Have

• Familiarity with local scientific research environment.
• Experience with computational clusters (e.g., SLURM).
• Familiarity with Linux-based scientific tools and software.
• Experience with automation tools like Ansible or similar.

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.

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 researcher will assist PI in developing innovative algorithms to model and predict the failures in the spatial temporal distributed systems. Programming is required, with skills in scientific computing.

Job Requirements

At least 3-4 years experience in research; track records in publishing top research paper; experience in programming

A qualified candidate will be self-motivated with strong technical and analytical skills as well as possess practical and hands-on approach to engineering control in the areas of metrology management

Responsibilities:

• Recipe creation and optimisation for new R&D applications requirement.
• Preventive and corrective maintenance planning cum execution and vendor management.
• To take charge of new tools technical assessment and tender creation (equipment cum process application startup) and service contract tender set-up
• Drive continuous improvement projects (CIP) to achieve better measurement repeatability (MSA, GR&R, SPC etc).
• To set-up appropriate process and product control plan and out of control action plans (OCAP)
• Provide technical training to related staff on best-known practices in terms of application metrology recipe creation.

Requirements:

• Bachelor degree in Electrical and Electronics, Material, Physics or Chemical engineering
• Minimum 3~5 years of hands-on semiconductor experience (preferably in metrology application and equipment maintenance)
• Possess computer soft ware skills (i.e. JMP, Minitab, SQL, Visual basic, etc)
• Knowledge in problem solving and quality control skills (i.e. LEAN 6sigma, RCA, DOE, etc)

Product area

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

Job description

Our thirst for technology is a part of everything we do. The Data Center Engineering team takes the physical design of our data centers into the future. Our lab mirrors a research and development department -- cutting-edge strategies are born, tested and tested again. Along with a team of great minds, you take on complex topics like how we use power or how to run state-of-the-art, environmentally-friendly facilities. You're a visionary who optimizes for efficiencies and never stops seeking improvements -- even small changes that can make a huge impact. You generate ideas, communicate recommendations to senior-level executives and drive implementation alongside facilities technicians.

With your technical expertise, you ensure compliance with codes and standards, develop infrastructure improvements and serve as an expert in your specialty (e.g., cooling, electrical).

Qualifications

Job responsibilities

• Define data center system-level, product architecture, and Research and Development, while helping to develop operations and maintenance procedures for systems/processes.
• Conduct engineering analysis and research designs and methods of data center equipment and facilities.
• Ensure designs and installations meet requirements (e.g., predicted cooling, structural, operational concerns, etc.).
• Serve as Technical Lead in the region. Collaborate with Operations, Execution, and Construction teams to develop new data center (DC) mechanical infrastructure products and systems.

Minimum qualifications

• Bachelor's degree in Mechanical or Industrial Engineering, related discipline, or equivalent practical experience.
• 10 years of experience in mission critical facility design and construction environments.
• Experience in mission critical facilities and their mechanical infrastructure.

Preferred qualifications

• Master's degree in Engineering, Business or relevant field, or professional engineering license.
• Experience in estimating, mechanical design, operation, and commissioning of mission critical data center mechanical equipment.
• Experience in design, construction, and commissioning of mechanical cooling plants, fire suppression systems, fuel oil systems, domestic water systems, and sanitary sewer systems in mission critical facility design and construction environment.
• Experience designing modular building scale assemblies, with an understanding of mechanical tolerances and tolerance analysis.
• Knowledge of mechanical engineering and design principles with expertise in medium-scale production, structural beams/elements, and international building codes.
• Operational knowledge of construction safety procedures.

We are seeking a highly skilled AI Engineer specializing in Large Language Model to contribute to the development of a scalable and optimized South-East Asia foundation language model. In this role, you will collaborate with multi-region teams, adopting the advanced AI technologies and applying AI models and strategies to enhance business models. Your primary focus will be on following and crafting the advanced AI algorithms for South-East Asia language in the ecommerce domain.

Job Description:

• Contribute to the research and implementation of pre-training and alignment algorithms include ultra-large-scale multilingual pre-training technology, Mixture-of-Experts model training, Instruction Pretraining, SFT, and RLHF.
• Contribute to the explanation and safety improvement of AI, especially in trustworthy Large language models.
• Follow the frontier technologies and make comparisons about the advanced technologies to apply in business scenarios.
• Conduct experiments to test the performance of different AI models, identifying areas for improvement and exploring new directions for enhancement.
• Work collaboratively in a team environment, applying expertise in statistics, scripting, and relevant programming languages.

Requirements:

• Doctorate degree in Computer Science, Information Technology, Programming & Systems Analysis, or other related disciplines
• Excellent coding skills, data structure and basic algorithm skills, proficiency in Python/Pytorch coding.
• Minimum 1 year of research experience in basic principles and training methods of industry-leading LLM (such as GPT, LLaMA).
• Have research experience in text generation or dialogue systems
• Excellent problem analysis and solving skills, able to deeply solve problems in large model training and application.
• Good communication and collaboration skills, able to explore new technologies with the team and promote technological progress.

Job Description:

• General Failure Analysis Engineer, 12 hours night shift
• Perform sample preparation (cross section, delayering, decapsulation) using FIB and other preparation techniques;
• Perform failure analysis using various tools and instruments such as CSAM, SEM/EDX, and X-ray;
• Communicate with customer for selecting proper analytical technique and data interpretation;
• Prepare analytical reports;
• Document new failure analysis operating procedures, training and certification specs;
• Participate/assist in new failure analysis techniques development;
• Perform routine instrument preventive maintenance and laboratory housekeeping;

Job Requirements:

• Diploma/Degree in Electrical / Electronic Engineering; Material Science Engineering; Science & Technology;
• Candidates with 2-3 years’ experience are preferred, candidates without experience are welcome to apply too;
• Must be able to perform FA study individually and work well in teams;
• Experience in other FA techniques including: Sample preparation (cross section, delayering, decapsulation) X-Ray and FIB would be a bonus;
• Experience in Wafer Fab/Semiconductor/LED/Solar/HDD industries would be useful;
• A team player who can be independent, hardworking with a persevering attitude; must be willing to perform night shift duty.