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.

Welcome to the dynamic world of LAI Games, a leading Singapore-based game studio at the forefront of revolutionizing arcade entertainment. As a key player in the industry, we pride ourselves on crafting immersive and thrilling gaming experiences that captivate players worldwide.

We develop our games in house, often in collaboration with top-tier video game creators and integrating the newest hardware from renowned technology suppliers in our arcade games. We are dedicated to pushing the boundaries of innovation.

Join us on this exhilarating journey as we seek a hands-on Senior Software Engineer to strengthen our team in creating the next generation of thrills!

The ideal candidate is somewhat of a jack of all trades, not afraid to venture into new topics. You are experienced in game development in Unity or Unreal, but you are also not afraid to architect and implement the software for a physical game that includes contributions from several technology suppliers and game creators. You can interact with our firmware and hardware engineers to come to an overall design that meets expectations.

What You’re Responsible For

• Lead all software development aspects of arcade games, from concept to completion.
• Collaborate with cross-functional teams to gather requirements and define software specifications for our products.
• Work closely with our own hardware and firmware engineers and external contributors to integrate our software to ensure seamless functionality.
• Develop software for physical arcade games integrating motion systems, VR headsets, lighting, sound effects, computer vision and haptic feedback to a seamless experience for our customers.
• Ensure high-quality, reliable, and innovative software solutions for a captivating player experience.
• Design and develop robust and efficient software solutions that meet our standards to guarantee a safe, positive user experience.
• Perform thorough testing and validation of software components to ensure reliability, safety, and performance under arcade conditions.
• Participate in DevOps activities, including continuous integration, deployment automation, and security enhancements.
• Document the design processes: development, testing, analytics, and troubleshooting.

What We’re Looking For

• Ability to lead a team and drive software development projects from start to finish.
• At least five years of experience in game development, where contributions from several parties are combined under your guidance.
• Bachelor's or master's degree in computer science, Computer Engineering, or equivalent field.
• Proficient in C/C++, C#, Python, experience with Unity, Unreal.
• Familiar with programming micro controllers like Arduino or Raspberry pi.
• Familiarity with software development methodologies including Agile, and experience working in Agile environments, version control systems, software test frameworks, and software testing techniques.
• Strong analytical thinking and problem-solving skills and a commitment to delivering high-quality results.
• Excellent communication skills and the ability to collaborate effectively with multidisciplinary teams.
• Able to work under tight deadlines and respond to changing business and technical conditions.

Special Requirements

• Experience in integrating functions like motion systems, VR technology, and other interactive elements into a final product.
• Experience with electrical or mechanical engineering.

Besides working with an awesome team, in an arcade, and making games, we also offer:

• Competitive salary
• Performance bonus
• Training and education programs
• Private medical, dental, and life insurance coverage
• Flexible working hours
• Quarterly self-directed personal development days
• Finish work early every Friday afternoon for social drinks and games
• Work in a dynamic, creative arcade/workspace
• Team events - being a part of the out-of-home entertainment industry, we like to have frequent team events and enjoy what the industry has to offer

LAI Games is a global company committed to growing our employees along with the business. We’ve worked hard to foster an intensely collaborative and creative environment, a diverse and inclusive employee culture, and training and opportunities for professional growth.

About Cynapse

Cynapse is an awarded AI Software Product company specializing in Enterprise-grade Vision AI in highly challenging environments. cynapse’s software platform is leveraging cutting-edge cloud/on-premise/edge platforms, advanced computer vision algorithms, advanced ML concepts & models, and more.

The company's Headquarter is located in Singapore (one-north Area)

Job Description

Cynapse is looking for a talented and highly motivated Computer Vision & Machine Learning Developer to join our AI team that delivers a challenging, enterprise-scale Video Content Analytics solutions to global customers. You will conform to high standards of design and coding, working in a cutting-edge, dynamic and professionally challenging environment.

Responsibilities

• Assist in the development and training of computer vision models using state-of-the-art machine learning techniques.
• Work with large datasets for model training.
• Collaborate with engineers to implement and fine-tune models, focusing on performance, accuracy, and scalability.
• Contribute to the deployment and monitoring of trained models in production environments, ensuring robustness and reliability.
• Participate in the development and maintenance of MLOps pipelines, automating the process of model training, deployment, and monitoring.
• Conduct research to explore and implement the latest computer vision and MLOps techniques and technologies.
• Maintain and update model pipelines, ensuring they meet project requirements and deadlines.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Artificial intelligence, mathematics, Electrical Engineering, or a related field.
• Solid understanding of machine learning concepts, particularly neural networks and their applications in computer vision (e.g., convolutional neural networks, transfer learning, and deep learning architectures).
• Proficient in one or more popular machine learning frameworks such as TensorFlow, PyTorch, or similar.
• Experienced with computer vision libraries like OpenCV, scikit-image, or equivalent.
• Strong programming skills in Python, with expertise in using tools like NumPy, Pandas, and Matplotlib for data manipulation and visualization.
• Knowledge of data preprocessing techniques, including image augmentation, normalization, and resizing.
• Basic understanding of MLOps practices, including version control, continuous integration, and continuous deployment (CI/CD).
• Strong analytical and problem-solving skills with attention to detail.
• Good communication skills, both written and verbal, with the ability to work collaboratively in a team environment.
• Eagerness to learn and adapt to new tools and technologies in the rapidly evolving fields of machine learning, computer vision, and MLOps.
• (Optional) Experience with cloud platforms like AWS, GCP, or Azure is a plus.
• (Optional) Knowledge of Docker or other containerization tools for model deployment.
• (Optional) Familiarity with MLOps tools like MLflow, Kubeflow, or similar is a plus.

Personal Competencies

• Innovative, motivated and a quick learner
• Ability to work well in a small team and take end-to-end ownership of problems and their resolution
• Attention to detail, curiosity, and passion for technology

Benefits

• Competitive base salary and a generous stock option package
• Unique opportunity to work with a talented global team on cutting-edge technologies
• informal and exciting work environment with flexible hours

Due to the nature of the role, the position is considered for candidates that are only based in Singapore

Job Type: Full-time

Benefits:

• Health insurance

Schedule:

• Monday to Friday

Supplemental Pay:

• 13th-month salary

Work Location: In person

Position Overview:

Looking for a skilled Data Analytics and Visualization Specialist to perform data analysis, create insightful Visualizations, and manage data workflows using Tableau, Databricks and AWS. The ideal candidate will have a strong analytical mindset, excellent problem-solving skills, and a passion for turning data into actionable insights.

Roles and Responsibilities:

The Cloud Engineer applies extensive technical knowledge of cloud technology and infrastructure to develop and deploy hybrid/multi cloud solutions aligned with business objectives and security requirements. He/She plans and executes migration of infrastructure from on premise servers to the cloud and implements security controls.

He/She builds and maintains auditing and reporting tools that provide information on the current and historical status of infrastructure. He/ She develops Proof of Concept (PoC) and performs production engagements on the demo cloud. Monitors the performance through various APM / Cloud analytics tools to ensure infrastructure workload runs in high performance without errors.
Creative and comfortable in dealing with the diversity of tasks. Ensures that the proposed solution is feasible from multiple perspectives in the areas of ease of migration, affordability and security. You are proficient in CI/CD tooling as well as well setting up release pipelines.

Define Business requirements
• Liaise with stakeholders to understand business needs and technical requirements
• Advise stakeholder on industry trends and how new technologies can be leveraged to meet business objectives
• Translate high level technical requirements into infrastructure changes
• Define scope and feasibility of projects

Develop cloud solutions
• Design cloud infrastructure components in accordance with approved guidelines
• Recommend design improvements across areas such as cost savings, security, ease of use and reliability
• Develop Proof of Concept (POC)
• Identify key issues and priorities
• Develop plans to ensure successful recovery of operating systems during disaster
• Prepare detailed architectural and installation plans

Implement cloud solutions
• Implement cloud solutions and technology
• Develop plans to monitor and administer cloud management platform and associated tools
• Develop tools to deploy, manage, monitor and troubleshoot cloud based systems on or off premises
• Set up system-monitoring tools

Maintain cloud solutions
• Perform capacity and performance management analysis
• Maintain appropriate controls and documentation to ensure compliance with audit requirements and qualifications
• Provide ongoing support to users of cloud services
• Respond to incident tickets to troubleshoot and resolve problems with cloud solutions
• Participate in cloud audits and metric collection exercises

Requirements:

• Bachelor in Data Science, Computer Science, Information Technology, or a related field.

• Strong experience on web application solution
• Proven experience in data analytics and visualization using Tableau, Databricks, Sagemaker and AWS Fargate.

• Good to have experience in tableau, dashboard, reactjs
• Strong proficiency in SQL and data manipulation languages.
• Experience with ETL processes and data pipeline development.
• Excellent analytical and problem-solving skills.
• Strong communication and collaboration skills, with the ability to convey complex data insights to non-technical stakeholders.
• Ability to work independently and manage multiple projects simultaneously.
• Familiarity with healthcare data and regulations is a plus.
• Skilled in data acquisition and management with proficiency in data ingestion, storage, processing, and analysis using relational and non-relational databases and cloud-based data platforms.
Preferred Skills:
• Experience with Python or R for data analysis.
• Knowledge of machine learning techniques and tools.
• Ability to design and implement data models and data architecture.
• Certification in Tableau, Databricks, Sagemaker or AWS is a plus.
• Good interpersonal skills, a detail-oriented & flexible person who can work across different areas within the team.
• Experience in cloud -based data platform.
• An understanding of finance data is a plus.

The key functions of Process Engineer is to:

• Applies engineering principles and techniques to optimise the production processes in a manufacturing environment to meet organization objectives
• Analyse and troubleshoots process engineering, manufacturing and /or maintenance issues and recommends engineering solutions, and develops work instructions for out of control processes
• Leads production and manufacturing systems improvement projects, and develops operation plans in accordance with organization objectives and other regulatory requirements.

Job Description:

• 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
• Monitor critical SPC charts daily. Perform process window study and provide improvement plan to reduce OOC and improve CPK
• 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.
• Setup and troubleshoot in recipes/ job files in all metrology tools within the Module.
• Follow up on passdown to troubleshoot process issues. Establish CAS / procedures to be followed and work with other departments for resolution if required.
• Startup and qualify new process and new equipment within scheduled timeline. Work closely with the Equipment Engineer on new equipment acceptance. Know the concept of repeatability and reproducibility (R&R) run.
• Work on reducing process constraint so that Mfg can have more flexibility.
• Perform process matching between equipments to reduce variation and analysis / DOE to find factors for better tool matching.
• Participate in CIP programs to optimize process window, cost, yield, and productivity.
• Work as a team with both Equipment and Mfg Engineers to meet Module objectives. Work to meet the key indices of Uptime and OEE goals.
• Represent own Module to attend cross-functional task team to address yield improvement/ excursion 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.
• Follow good housekeeping and safety rules in office and FAB.
• Provide feedback/ training to AEs or Techs on their troubleshooting skills, understanding of processes, decision making, risk assessment.

Requirements:

• Degree in Electrical / Electronics / Mechanical /Microelectronics / Chemical Process / Chemistry / Physics/ Material Science/Material Engineering
• Min 5 years of relevant work experience in Thin Film CVD Processs
• An excellent team player with good interpersonal, communication and written skills
• Strong leadership capabiity to lead and guide junior engineers
• 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

Responsibilities:

• The Mixed-Signal IC (MEMS Interface) Design Engineer will be responsible for the design and development of capacitive and/or piezoelectric MEMS interface ASICs, including the required amplifiers, ADCs, filters and control logic, with characteristic high impedance inputs, ultra low power, low noise circuits etc .
• The responsibility of the Mixed-Signal IC Design Engineer includes scheduling, design, simulation and layout of mixed-signal circuit blocks, including pre- and post-silicon verification.
• It is also expected that you will conduct periodic design reviews, including with application engineers.
• It is also expected that you will support test development and product development teams in bringing projects to production.

Requirements:

• PhD/Master’s Degree in Electronics/Electrical Engineering.
• Minimum 6 years’ experience in Analog or Mixed-signal IC design.
• Very good knowledge of CMOS processes.
• Highly proficient in analog and mixed-signal IC design EDA tools.
• Experienced in analog and mixed-signal circuit designs, such as regulators, DC-DC converters, low-power, low-noise biasing circuits and amplifiers, sigma-delta modulation and ADCs, etc
• Experience in design of high resolution, low power sigma-delta modulation preferred.
• Experience in design of ultra low power ADC preferred.
• Skilled in laboratory testing of IC prototypes.
• Knowledge of Linux operating system required.
• Experience in MEMS interface ASIC design advantageous.

Position: Senior/ Junior Software Engineer

Campus: DigiPen (Singapore)

Description:

We are hiring a team of software engineers to design and develop software platforms for supporting multi-user AR/VR applications.

Salary Package for 2 years:

• Salary range: $4,000 - $8,000 per month
• 13th-month bonus
• Health and dental insurance

Role:

• Design and develop AR/VR software solutions for online education, team collaboration, and workplace training with a focus on real-time interactive simulation.
• Build infrastructure for real-time interactions, scripting tools, backend web services, and frontend applications.
• Design and implement spatial interactions using 3D game engines, modelling animation tools and shader programming

Educational and Experience Requirements:

• A degree in Computer Science or relevant field
• Strong knowledge in C++
• 3D engine development experience
• Familiarity with core engine technologies such as engine architecture, multi-threading, streaming, computer graphics and advanced real-time rendering techniques
• Experience developing optimized modules in C#/C++ within Unity and/or Unreal Engine
• Experience with database management systems
• Experience with software development life cycle
• At least 5 years of work experience in a similar capacity to qualify for the senior position

Application:

To apply, please submit your updated resume and relevant portfolio with the subject line “Senior/ Junior Software Engineer” sent to:

Dr. Tang Liang

Associate Dean of Academic

Email: singapore-jobs(at)digipen.edu