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

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

Responsibilities

• Undertake detailed design in Building Structures
• Execution of projects and liaison with the Client, Client’s Consultants, Contractors, and authorities to provide technical support for design
• Checker to obtain approval of design and drawings
• Prepare design report & attend meeting to resolve technical issue

Requirements

• Degree in Civil and Structural Engineering or its equivalent that is recognized by the Professional Engineers Board of Singapore
• Well versed with local authority codes and regulations
• Minimum 4 years of relevant building structure with civil experience
• Involve in large scale building (HDB/ Condominium/ Commercial) structural design project
• Good exposure in the analysis and design of PPVC, Precast and concrete structures, steel structures
• Good knowledge of the various engineering design software and analytical tools
• Applicant who has lesser experience will consider for Engineer role

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.

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.

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]

Duties to be Performed:

Senior Mechanical Engineer for HVAC Systems shall be handling on designing and delivering mechanical systems for industrial properties in semiconductors, electronics, biopharma, and related industries.

The mechanical systems include Cleanroom, HVAC, Process exhausts, vacuum, condenser, chilled water, process and process cooling water, fire protection, diesel fuel, natural gas and associated, equipment, ducts and pipe works.

The Duties/ Responsibilities of the Prospective Candidate are,

• Responsible for Engineering of Concept / Basic / Detail design for Mechanical systems with the focus of HVAC systems.
• Shall perform system related engineering calculation including heat load calculation, equipment sizing, distribution system sizing from fundamentals with spreadsheet tools.
• Shall develop design drawings including, but not limited to, PFD, Schematics and Layout for required HVAC systems.
• Engineering design of HVAC and Process Exhaust systems for new/ existing production buildings.
• Conduct feasibility study and conceptual design of Mechanical Systems throughout all technological aspects
• Review of HVAC system in preparation for testing and commissioning and validation
• Coordination and engineering in regards of R&D Equipment requirements
• Provision of engineering service for tendering, conduct site show round and brief bidders
• Develop a detailed project plan to monitor and track progress
• Create and maintain comprehensive project documentation
• Meet with clients to take detailed ordering briefs and clarify specific requirements of each project
• Coordinate internal resources and third parties/vendors for the flawless execution of projects
• Clearly define and align inter-discipline technical interfaces and scope demarcation
• Work with CAD drafters and BIM modeler to guide, check and carry out field verification with them.
• Prepare SOW (Scope of work) for bid package, including BOM for form of tender.
• Calculate system OSE (Operating System Efficiency) of chilled water system to meet MEES requirements.
• Frictional loss calculation for fan and pump head and estimation of power requirements.
• Perform psychrometric analysis on system design
• Trouble shooting of design and construction related problems and develop solutions accordingly
• To promote safe working practices and to protect the health and well-being of Employees, contractors and Customers.
• Liaising with QA / QC Engineers to ensure they are aligned with the requirements of the specification.
• Support during construction stage

Job / Skills Requirement:

• You should have a bachelor's degree in mechanical.
• You should have sound experience in mechanical systems in designing and installation works related to semiconductors, biopharma, laboratories, data centers, or process buildings.
• You should be familiar with both Singapore and Malaysia’s latest codes, standards, guidelines, regulations, and authorities requirements. Your familiarity with available equipment, modern technology, construction methods, and CAD/ BIM is an added advantage.
• You should be able to advise clients and engineers on project execution, supervising progress, and quality of work.
• Able to Travel/ Relocate

JOB DESCRIPTION

This job focuses on software development for Software as a Medical Devices. System engineer will be working closely with Project Managers and project teams to ensure the software as a medical device product management Lifecyle is followed thoroughly.

• Support project manager to plan and execute Software as a Medical Device (SaMD) projects including AI applied to healthcare.
• Support technical team in product development, design verification and validation of medical devices including software as medical device.
• Prepare, design and development documentation by working together with software developers, quality and regulatory personnel.
• Prepare project agreements, procurement specifications and technical documents.
• Follow-up on project milestones.

JOB REQUIREMENT

• Preferred to have one year of experience in software development or medical device product development.
• Educational background of computer engineering or bio medical engineering.
• Knowledge in software development, experience in software development environment will be an added advantage.
• Knowledge / willingness to learn the ISO 13485 documentation practices and drive project teams for adherence.
• Good follow up skills.

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

Product area

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

Additional job description

The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware.

In this role, you will be helping our customers, developers, small and large businesses, educational institutions and government agencies, see the benefits of our technology come to life. You will be understanding the needs of our customers and helping shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

You will be the technical expert and trusted advisor for our customers, helping them design, deploy, and optimize AI solutions using cutting-edge hardware and software. Your focus will be on Graphics Processing Units (GPUs), accelerators (including Field-programmable Gate Array (FPGA) and Application-Specific Integrated Circuit (ASIC)), and Google Tensor Processing Units (TPUs). You will work closely with sales, product management, and engineering to ensure our customers achieve maximum value from their AI investments. You will be responsible for scaling and helping accelerate GCP AI Infrastructure business growth.

Qualifications

Job responsibilities

• Serve as a trusted advisor to customers, helping them in understanding and incorporate AI accelerators into the overall cloud strategy by recommending migration paths, integration strategies, and application architecture that incorporate Google Cloud AI optimized infrastructure.
• Demonstrate how Google Cloud is differentiated, highlighting the power of accelerators by working with customers on proof-of-concepts, demonstrating features, optimizing model performance, profiling, and bench-marking.
• Build repeatable assets to enable other customers and internal teams.
• Influence Google Cloud strategy at the intersection of infrastructure and AI/ML by advocating for enterprise customer requirements.
• Lead business and Workload acceleration on AI Infrastructure products and solutions for GCP.

Minimum qualifications

• Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
• 10 years of experience with cloud infrastructure.
• 5 years of experience in a technical role focused on AI infrastructure or related areas.
• Experience building and operationalizing machine learning models.
• Experience with GPU programming (CUDA, OpenCL) and optimization techniques.

Preferred qualifications

• Experience with high-performance computing (HPC) environments and contributions to open-source projects related to AI or infrastructure.
• Experience training and fine-tuning large models (i.e., image, language, segmentation, recommendation, genomics) with accelerators.
• Experience with performance profiling tools (i.e., Tensorflow profiler, PyTorch profiler, Tensorboard).
• Experience designing/architecting large-scale infrastructure farms for specialist AI use cases.
• Experience with running MLPerf benchmarks, distributed training and optimizing performance versus costs.
• Excellent communication and presentation skills.

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 will be responsible to deliver robust and efficient semiconductor manufacturing process with data driven analytics and systemic problem-solving skills in the Wet Etch modules.

Key Responsibilities

• Maintain smooth daily manufacturing operations and problem solve issues promptly
• Actively collaborate with equipment and material suppliers and partners to identify technology deficiencies; develop, evaluate, and validate corrective and preventive solutions
• Qualify and sustain manufacturing processes to scale up capacity swiftly and maintain with quality and urgency
• Continuously improve process stability and capability, enhance quality, reliability, yield, productivity, and safety standards
• Design and execute experiments, analyze complex data sets, and derive actionable insights to optimize manufacturing processes and precise controls
• Implement statistical process control methods to establish and uphold robust manufacturing processes

Education Qualification & Essential Experiences

• Bachelor’s or higher degree in Electrical and Electronics Engineering, Chemical Engineering, Material Science, Physics or STEM related fields
• Must be available to travel to Taiwan for a training period lasting 6 to 9 months
• Fresh graduates welcome to apply

Key Skills and Attributes

• Good interpersonal and communication skills to work effectively across functions and geographical teams with diverse background
• Strong analytical and problem-solving skills to achieve positive results and outcome
• 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.

Roles & Responsibilities

About HOYA Surgical Optics (HSO)

HOYA Surgical Optics (HSO) is the globally leading Preloaded Intraocular Lens (IOL) focused company that provides technologies and solutions that exceed expectations, enabling ophthalmic surgeons to focus on restoring sight. We are dedicated to improving the vision and quality of life for millions of people suffering from cataract, and helping them celebrate life visually.

HSO empowers cataract surgeons all over the world with innovative ophthalmic devices and services, with an attention to detail that helps them achieve better surgical outcomes and better practice results. Our commitment to delivering these results is grounded upon a quality management system that is continuously improving to meet changing global regulatory requirements and our entrepreneurial drive to be the brand of first choice.

At HSO, People is the key factor to our success. We aim to create a conducive work environment for our employees around the globe, and to promote an inclusive culture based on our core values – Excellence, Passion, Innovative, Collaboration, and Accountability.

HSO way of working

In fulfilling our roles, we are

• Accountable for our own capabilities and development,
• Focused on delivering results without excuses, and
• Alive to the sensitivities, risk, and impact we have on others and work in a way that helps others do their work effectively.

We are looking for people who

• See beyond themselves and are impact-focused,
• Consider the needs, challenges, and objectives of every person with whom they interact, and
• Exhibit positive reinforcement to help others succeed.

About the role

Works closely with and has impact on: Support production and operational functions.

Reports to: Global Service Lead, Cloud & Data Centre

Function: Global IT

Work Location/Site: Singapore, Global Headquarters

Role Overview

The Senior Global Infrastructure Engineer is part of the Global Infrastructure and Operations Team to ensure the stability, security, and efficiency of IT infrastructure services globally. The role is responsible for overseeing and managing Organization’s Azure cloud and on-premises IT Infrastructure. This role requires a proactive individual with strong technical skills and project management.

Duties and Responsibilities

1. Azure Cloud Management

• Deploy, configure, and maintain Azure Virtual Machines to meet organizational requirements.
• Design, implement, and manage Azure virtual networks, subnets, and connectivity solutions.
• Deploy, configure, and maintain Azure storage.
• Manage Azure Backup and disaster recovery to protect critical data and systems.
• Administer and secure access to Azure resources using IAM best practices, policies, and RBAC configurations.
• Set up, manage, and optimize AVD environments.
• Configure and utilize Azure Monitor for performance tracking, log analytics, and proactive issue resolution.
• Develop and enforce governance standards using Azure Policy to maintain compliance across the organization.
• Monitor and optimize Azure resource utilization and cost.
• Ensure timely patching and updating of Azure-based resources to maintain security and compliance.

2. Window Server Administration

• Install, configure, and maintain Windows Servers in VMware environment to ensure service delivery.
• Continuously monitor and optimize windows server performance, perform configuration changes to ensure optimal functionality and minimize downtime.
• Manage server roles and features such as AD, DNS, DHCP and file services.
• Implement and enforce Group Policies to maintain security and compliance across systems.
• Perform regular system updates, apply patches and backups to keep systems secure.

3. Storage and backup

• Implement, maintain, monitor and troubleshoot storage issue for SAN and NAS.
• Monitor storage performance and capacity, perform optimizations to maintain efficiency.
• Implement, maintain, monitor and troubleshoot Veeam backup.
• Ensure compliance with data retention policies and regulations.

4. Project Management

• Leading the implementation of IT Infrastructure projects.
• Deliver project scope, and deliverables as per agreed schedule.
• Proactively coordinate and communicate with stakeholders and team members.

5. Documentation and Reporting

• Maintain comprehensive documentation of IT infrastructure and processes.
• Prepare regular reports on IT infrastructure availability, performance and project status.

Experience

• 8+ years of experience in IT infrastructure management.
• Professional certifications e.g. Azure Administrator Associate, Window Server Administration, and VCP are highly desirable.
• Strong technical expertise and hands-on experience in Azure infrastructure solutions.
• Strong technical expertise and hands-on experience in Window Server services, Domain Controller, VMware, Netapp storage, Veeam backup.
• Experience in Linux environment is a plus.
• Ability to express thoughts and complex IT solutions clearly and in a simplified manner.
• Excellent problem-solving and analytical skills.
• Proven experience managing infrastructure projects and out of the box thinking to resolve challenges.
• Strong communication and interpersonal skills.

Skills/Accreditations

• Fluency in Mandarin language is a plus.

Academic Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or any diploma with an IT background

Travel requirements

• Occasional

*Position title and salary will be commensurate with relevant experience and qualifications.

By submitting your application, you consent to HOYA Group collecting, disclosing, and retaining your personal data for employment assessment and verification purposes.

If you are shortlisted, we will contact you within three weeks of your application. Thank you for your application and understanding.

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.

About the Centre for Quantum Technologies (CQT)

The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing.
CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science, Technology and Research, Nanyang Technological University, Singapore, and the Singapore University of Technology and Design. With some 200 staff and students, it offers a friendly and international work environment

Learn more about CQT at www.quantumlah.org

Job Description

The Centre for Quantum Technologies (CQT), National University of Singapore is looking for researchers and engineers to develop next generation quantum computers based on trapped ions. There are multiple positions available at different levels with a diverse set of expertise. This program is funded under the National Quantum Processor Initiative, a flagship program under the National Quantum Office Singapore. The aim of the program is to develop a full stack quantum processor based on Yb-Ba ions. This program brings together the unique capabilities of the existing ion trap groups in CQT expertizing on these two-ion species to explore scalability of the system.

The Centre for Quantum Technologies is a pioneering quantum centre in the world offering a diverse research culture at the intersection of three different fields namely, theoretical, experimental Physics and computer science. We offer competitive salary and enriching intellectual experience in a city state known for its forward outlook. This program also allows strong collaboration with leading academic and industrial groups within and outside the country.

The team members will work to build hardware for the next generation of the ion trap quantum processor. This includes design and implementation of the modular and compact optical system for the laser beam modulation using acousto-optical and electro-optical modulators, delivery of the beams to the inside the vacuum chamber, and implementation of the diffraction limited optical system for ion imaging and addressing of the individual ions with the laser beams.

The successful candidate will be involved in all stages of the development cycle: collaborate with team members to define technical requirements, design, test and integrate the optical systems in the final product.

Job Requirements

We are looking for several optical engineers to join the small team of scientists and engineers working on the next generation of the ion trap quantum processor. The candidate should have:

• Ph.D. in optical engineering, physics or related areas;
• At least 1-2 years of experience in optical design, implementation and testing of the optical or laser systems is preferred.
• Experience in optical design, familiar with optical (for example, Zemax or OSLO) and mechanical (Autodesk or Solidwork) CAD software, able to assemble and test complex optical systems.

Responsibilities

• Responsible for the quality management of machined products to ensure that product quality
• Ensuring that our internal management systems are well defined and relevant in meeting international standards and customer requirements.
• Lead and monitor the QMS incl. ISO9001 & ISO 14001 quality system certification and promote continuous improvement.
• Lead the quality team to implement quality inspection and control and manage non-conforming products.
• Participate in supplier evaluation and management to ensure the quality of raw materials and purchased parts.

Requirement

• Minimum Bachelor Degree in Mechanical or Industrial Engineering
• At least 7 years of quality management experience in the machining industry
• Proficient in using office software and mintab statistical analysis software, and possessing Six Sigma quality management knowledge and skills, e.g. SPC tools & 8D reports.
• Strong knowledge and experience in leading ISO9001 & ISO 14001 quality system certification.
• Proficiency in English and Chinese, with the ability to communicate effectively with stakeholders in China.

Job Description

• Deep dive into development lines, learning and understanding the mechanism of every application component, and promoting product scalability, stability and performance.
• Setup, manage and maintain product, middleware, big-data applications and services.
• Perform regular and ad-hoc server-side deployments, performance fine-tuning and troubleshooting.
• Design and develop automations for workflows.
• Capacity and Resource management.
• Responsible for the full-chain stress test to enhance the performance and remove redundancy of applications.
• Prepare routine operation documentation.

Job Requirements

• Bachelor’s or higher degree in Computer Science, Engineering, Information Systems or related fields.
• Minimum 3 years of working experience in Site Reliability Engineer roles.
• Extensive and hands-on knowledge with Linux operating systems (Ubuntu, CentOS, etc.).
• Knowledge of Computer Network(TCP/IP, DNS, etc.) and OS.
• Hands-on experience with at least one of the programming languages: Bash, Python, Go.
• Strong analytical and problem-solving skills with the ability to thrive under difficult and stressful situations.
• Passion and high sense of responsibility for work.
• Fast learning ability and a good team player.
• Detailed-oriented, cautious and prudent.

Skills below are optional but preferable:

• Experience with automation tools like Ansible, Jenkins.
• Experience with monitoring tools like Prometheus, Zabbix, Grafana etc.
• Experience with load balancing tools like LVS, Nginx, Openresty or HAProxy.
• Experience with container technology such as Docker, Kubernetes.
• Experience with Kafka and Codis

Job Summary:
We are seeking a motivated and detail-oriented Fab Reliability Engineer to join our dynamic team. The ideal candidate will play a crucial role in ensuring the reliability and performance of our manufacturing processes. This position involves process qualification, conformance, process change management, new process development, and wafer-level reliability testing to enhance our production capabilities.

Key Responsibilities:

• Process Qualification: Conduct thorough evaluations and validations of manufacturing processes to ensure they meet reliability standards and specifications.
• Conformance: Monitor and analyze process performance to ensure compliance with established quality and reliability metrics.
• Process Change Management: Lead and manage process changes, ensuring that all modifications are documented, validated, and communicated effectively to relevant stakeholders.
• New Process Development: Collaborate with development teams to design and implement new manufacturing processes.
• Wafer-Level Reliability Testing: Design and execute wafer-level reliability tests to assess the performance and durability of semiconductor devices under various conditions.
• Data Analysis: Utilize statistical tools and methodologies to analyze process data, identify trends, and recommend improvements.
• Collaboration: Work closely with engineering, production, and quality assurance teams to drive continuous improvement initiatives.
  
  Qualifications:
• Education: Bachelor’s degree in Electrical Engineering, Physics, or a related field. Advanced degrees are a plus.
  Experience: Previous experience in a semiconductor manufacturing environment or related field is preferred.
  
  Skills:
• Strong analytical and problem-solving skills.
• Proficiency in statistical analysis and data interpretation.
• Familiarity with process qualification, reliability engineering principles, and wafer-level reliability testing.
• Excellent communication and teamwork abilities.
• Knowledge of industry standards and best practices in manufacturi年

Responsibilities

• Support and provide mechanical engineering design
• Handle design works and/or project management relevant to ACMV, Fire Protection, Sanitary and Plumbing.
• Supervise and coach a team of engineers in mechanical services for the project from concept stage, design development, contract documentation, authority submissions, site administration to project completion
• Act as either Project Manager or Team Leader in projects.
• Act as mentor to new employees.
• Provide technical assistance to engineers.
• Advise engineers on the project administration and contractual issues.
• Conduct technical discussion on common design problems with engineers

Requirements

• Recognised Degree in Mechanical Engineering with PEB Singapore
• Candidate must have min 6 years of relevant working experience in design engineering of ACMV / HVAC, Fire Protection and Plumbing services with Engineering Consultancies in Singapore
• Proven track record of working across organization boundaries to define requirements, solve complex problems and drive programs to successful completion
• Good understanding of Singapore Code of Practice and local authority submission process (LTA / PUB / BCA)
• BIM and CAD capabilities (REVIT / Microstation / Autocad) will be added advantage

Job Description

• Attend to customer enquiry on Industrial Automation products
• Work with design team on conceptual design
• Prepare periodical sales report
• Project management support for the entire project cycle
• Work with marketing team to explore new business opportunities

Job Requirement

• Diploma/Degree in any Engineering discipline
• Positive work attitude, willing to put in extra effort during peak period
• Strong communications skills
• Exposed to Project Management, Industrial Automation and/or Robotic Systems
• Working knowledge of Auto CAD

We regret that only shortlisted candidates will be notified.