Total 485 Engineering job vacancies in George Town

About Company

Founded in 2022, XG Tech is driving the future of smart vehicles. Its mission is to empower the digital transformation of automobiles, moving from distributed computing to a centralized, cross-domain platform.

XG Tech focuses on the intelligent cockpit—the next frontier of differentiation—while seamlessly integrating advanced driving systems. By reimagining cars as mobile living spaces, XG Tech aligns with the evolving trend of vehicles becoming the “third living space.”

Role Summary

As an IC Design Engineer, you will develop and implement micro-architectures and RTL designs for complex digital IPs and SoCs. You will work across the full ASIC flow, from RTL coding to synthesis, timing closure, and validation, ensuring high-quality, efficient, and reliable designs.

Key Responsibilities

• Develop and implement micro-architecture for complex digital blocks.
• Write synthesizable RTL code in Verilog/SystemVerilog for various IPs and SoCs.
• Perform linting, CDC (Clock Domain Crossing), and low-power checks (UPF/CPF).
• Conduct logic synthesis, timing constraints generation, and timing closure support.
• Collaborate with verification engineers to define test plans and ensure design quality.
• Support pre-silicon validation and post-silicon bring-up and debug activities.
• Create and maintain technical documentation.

How you will stand out

• Bachelor’s or Master’s degree in Electrical/Electronics Engineering or a related field.
• Proven experience in ASIC design flow and methodologies.
• Strong proficiency in RTL coding using Verilog or SystemVerilog.
• Hands-on experience with synthesis, timing analysis, and scripting languages (e.g., TCL, Python).
• Knowledge of low-power design techniques and power integrity issues is a plus.
• Familiarity with industry-standard EDA tools from Synopsys, Cadence, or Siemens.
• Excellent problem-solving skills and a strong team-oriented mindset.
• Effective communication skills and the ability to work in a dynamic, global team environment.

XG Tech is committed to providing equal employment opportunities by country, state, and local laws. XG Tech does not discriminate against employees or applicants based on conditions such as race, color, gender identity and/or expression, sexual orientation, marital and/or parental status, religion, political opinion, nationality, ethnic background or social origin, social status, disability, age, indigenous status, and union.

Responsibilities

• Perform preventive and corrective maintenance of runway, taxiway, apron lighting systems, approach lighting systems, PAPI systems, stop bars, airfield guidance signs, Airfield Lighting Control Centre (AFLCC), and associated M&E systems.
• Ensure high availability and reliability of airfield lighting systems to meet operational safety and regulatory requirements.
• Conduct routine inspections, testing, and maintenance activities in compliance with CAAS regulations, ICAO Annex 14, Airport Operational and Safety (AOS) requirements, Airside Work Procedures (AWP), and Airfield Lighting (AFL) Standard Operating Procedures.
• Troubleshoot and rectify faults related to Constant Current Regulators (CCR), field circuits, transformers, lamps, AFLCC systems, and associated electrical and control equipment.
• Monitor and achieve maintenance service levels and KPIs specified under maintenance contracts.
• Lead or support the installation, modification, upgrading, testing, and commissioning of airfield lighting systems, AFLCC systems, and associated infrastructure.
• Review engineering drawings, technical specifications, method statements, and project documentation to ensure compliance with operational and technical requirements.
• Coordinate with airport authorities, consultants, contractors, vendors, and stakeholders to facilitate maintenance and project execution activities.
• Supervise site works, contractors, technicians, testing activities, and commissioning processes to ensure quality, safety, and timely completion.
• Ensure compliance with ICAO, FAA, CAAS, and other applicable technical standards and regulatory requirements.
• Manage project schedules, resources, quality standards, and cost control to achieve project objectives.
• Prepare and maintain test reports, commissioning records, technical documentation, as-built drawings, and project close-out documents.
• Implement and comply with Workplace Safety and Health (WSH) requirements, risk assessments, method statements, permit-to-work systems, and airside safety procedures.
• Participate in audits, inspections, safety reviews, and continuous improvement initiatives to enhance system performance and operational safety.
• Provide standby and on-call support for critical system failures and emergency maintenance requirements.
• Respond promptly to airfield lighting faults and outages to minimise operational disruptions.
• Conduct root cause analysis (RCA) and implement corrective and preventive actions to improve system reliability.
• Maintain accurate records of maintenance activities, asset performance, fault history, downtime, and lifecycle management data.
• Utilise maintenance and asset management systems such as CMMS, ALIS, AIMS, and FMS for planning, tracking, and reporting purposes.
• Prepare technical reports, performance analyses, and management updates on system status and maintenance activities.
• Supervise and provide technical guidance to technicians, subcontractors, and junior engineering staff.
• Coordinate with airport operations teams to plan and execute airside works with minimal impact on airport operations.
• Work closely with procurement and supply chain teams to ensure timely availability of spare parts, materials, and equipment.
• Support technical training, knowledge sharing, and competency development initiatives within the team.

Requirements

• Degree in Electrical/Electronics Engineering or equivalent
• At least 5 years relevant working experience
• Good communication skills, positive mindset and strong willingness to learn
• Has a good safety mindset and displays good WSH behaviour

At ENGIE, every talent has a role to play in accelerating the energy transition. Make a difference and enjoy a fulfilling professional experience. Take on exciting challenges and build a career path that reflects who you are.

Join us and be part of the adventure of the century!

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/AI-Engineering-Lead%2C-Automation-and-Platforms/33261-en_GB/

We regret that only shortlisted candidates will be notified.

Key Responsibilities

1. Technical Architecture and Solution Design

• Define the technical architecture for AI automation, workflow automation, data integration and platform capabilities across ETP.
• Determine how the data lake, AI inference layer, vector database, workflow automation tools, SaaSplatforms and ETP Hub should connect.
• Translate business requirements and operational pain points into technical solution designs, delivery plansand prioritised build tasks.
• Ensure technical solutions are secure, maintainable, reusable and aligned with ETP’s longer-term digital operating model.

2. AI Engineering Delivery Leadership

• Lead the AI Engineers in delivering AI agents, automation workflows, data pipelines, reporting automation and integration components.
• Review technical outputs including scripts, workflows, data logic, API integrations, AI-assisted tools and deployment approaches.
• Set delivery standards for code quality, testing, documentation, release readiness and post-launch sustainment.
• Support the use of AI coding tools to accelerate development while ensuring appropriate technical review and quality control.

3. Data, AI and Workflow Automation

• Provide technical oversight for data cleanup, data transformation, reconciliation logic, reporting automation and AI-enabled reporting.
• Guide the development of AI inference-layer capabilities for extraction, classification, validation,summarisation and report generation.
• Lead workflow automation approaches using tools such as n8n and related integration platforms.
• Guide AI-enabled features within ETP Hub, including search, knowledge retrieval, agent workflows and user-facing automation.

4. Platform, SaaS and Infrastructure Integration

• Ensure automation solutions integrate properly with ETP’s platforms, SaaS applications, workflow tools, datasources and infrastructure.
• Work with platform, SaaS and infrastructure workstreams to align technical dependencies, implementation sequencing and support arrangements.
• Assess vendor and professional services proposals for technical soundness, scalability, maintainability and handover readiness.
• Surface risks, constraints and trade-offs early, including security, data access, infrastructure, integration and sustainment considerations.

5. Governance, Documentation and Sustainment

• Establish technical standards for automation workflows, data pipelines, scripts, AI agents, prompts,integrations and reusable components.
• Ensure documentation of architecture, data flows, business rules, workflow logic, prompts, APIs, dependencies and support arrangements.
• Put in place testing, monitoring and issue-resolution processes for deployed automation and AI-enabled tools.
• Drive continuous improvement based on user feedback, adoption, operational performance and changing business needs.

Qualifications

• Degree in Computer Science, Software Engineering, Data Science, Information Systems, Engineering or a related technical discipline; equivalent practical experience may be considered.
• Typically 8 or more years of relevant experience in software engineering, AI engineering, data engineering, platform integration or digital solution delivery.
• At least 3 years of experience leading technical delivery, solution architecture, engineering teams or cross-functional automation workstreams.
• Strong hands-on understanding of Python or similar languages, APIs, data pipelines, system integration and deployment practices.
• Practical experience with AI agents, LLM workflows, RAG, embeddings, vector databases, knowledge retrieval or AI inference-layer design.
• Experience with workflow automation tools such as n8n, Airflow, Zapier, Make or similar platforms.
• Ability to guide engineers, review technical work, challenge vendors, make architecture decisions and translate business problems into scalable technical solutions.
• Strong communication and stakeholder management skills, with the ability to explain technical trade-offsclearly to both technical and non-technical stakeholders.

Good to Have

• Experience with AI-assisted development tools such as Claude Code, Cursor, GitHub Copilot or similar tools.
• Experience with Google Workspace, Monday.com, Slack, Xero, Workable or similar SaaS applications.
• Experience building internal automation platforms, knowledge search tools, dashboards or operational applications.
• Familiarity with local or cloud-based AI infrastructure, data vectoring, RAG pipelines and knowledge retrieval systems.
• Experience in corporate services, operations, grants, finance, HR, administration or similar internal operating environments.

Product area

Android is Google’s mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. We believe computing is a super power for good, enabling access to information, economic opportunity, productivity, connectivity between friends and family and more. We think everyone in the world should have access to the best computing has to offer. We provide the platform for original equipment manufacturers (OEMs) and developers to build compelling computing devices (smartphones, tablets, TVs, wearables, etc) that run the best apps/services for everyone in the world.

Job description

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Additional job description

Our team's mission is protecting billions of Android users from abusive apps, including malware, content abuse, impersonation, and behavioral abuse. We develop products and services to ensure a safe and high quality experience for users of Android apps across the Android ecosystem. We also protect Google's brand and business. Our work spans our production infrastructure and novel research (publishing in security conferences). Our efforts sit in the areas such as supervised/unsupervised ML and generative AI for detecting content, privacy, and security violations, static program analysis of multiple languages used by Android apps, dynamic program analysis on secure environments in both real devices and Virtual Machines (VMs), enhancing and automating reverse-engineering and threat mitigation, and agentic AI threat models and defense.

Qualifications

Job responsibilities

• Develop and scale virtualized and physical device-based analysis platforms for large-scale app execution and monitoring.
• Write system-level code to perform deep inspection and instrumentation of apps while defeating evasion techniques.
• Lead design reviews and collaborate with cross-functional stakeholders to architect defense strategies for agentic AI threat models.
• Triage and resolve complex system issues by analyzing impacts on hardware, network, and service quality.

Minimum qualifications

• Bachelor's degree in Computer Science, or a related technical field, or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
  

Preferred qualifications

• Master's degree or PhD in Computer Science, or a related technical field.
• Experience with data structures and algorithms.
• Experience in Android system/app development and app dynamic analysis.
• Experience in network infrastructure, including implementing monitoring features that support different protocols.
• Experience working in the area of security, privacy, and cloud/virtual machine technologies.
• Familiarity with AI/ML understanding or agent-powered systems and their associated safety threats.

Key Responsibilities

Participation in Industry Standards and Technical Engagement

· Participate in technical discussions and meetings related to AI-RAN Alliance, 3GPP, O-RAN, and other relevant industry organizations.

· Track the latest technological developments in AI-RAN, 6G, and wireless communications.

AI-RAN Core Algorithm Research and Development

· Lead the research, design, and development of core AI-RAN algorithms.

Technology Strategy and Product Delivery

· Contribute to technology roadmap planning and drive the commercialization and deployment of innovative solutions.

Cross-Functional and Customer Collaboration

· Collaborate effectively with internal cross-functional teams and external customers to deliver technical solutions.

Patent Development and Advanced Research

· Conduct forward-looking technology research and contribute to patent applications and intellectual property development.

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Qualifications

· Solid foundation in wireless communications and algorithm development, with strong knowledge of 4G/5G NR, 3GPP specifications, and O-RAN architecture.

· Familiarity with AI technologies, including machine learning and deep learning.

· Strong technical innovation capability and system architecture design skills.

· Excellent communication skills in both English and Chinese, with the ability to participate in international technical exchanges and standardization activities.

· Experience with telecom operators, network equipment vendors, or the telecommunications industry is preferred.

· Minimum of 5 years of relevant experience in related fields.

About Company

Founded in 2022, XG Tech is driving the future of smart vehicles. Its mission is to empower the digital transformation of automobiles, moving from distributed computing to a centralized, cross-domain platform.

XG Tech focuses on the intelligent cockpit—the next frontier of differentiation—while seamlessly integrating advanced driving systems. By reimagining cars as mobile living spaces, XG Tech aligns with the evolving trend of vehicles becoming the “third living space.”

Role Summary

As an R&D Engineer (Multimodal AI Agents), you will lead the development of next-generation AI agents capable of perceiving, reasoning, and acting within real-world graphical user interfaces. You will work at the intersection of Computer Vision, Natural Language Processing, and Reinforcement Learning to transform cutting-edge research into scalable, production-ready systems for Android and cross-platform environments.

Key Responsibilities

• Design, train, and optimize Large Multimodal Models (LMMs) for GUI understanding, including screen parsing, grounding, and action prediction
• Build end-to-end agent pipelines covering perception, planning, reasoning, and execution loops across dynamic UI environments
• Track, reproduce, and improve cutting-edge research in GUI agents (e.g., DroidRun, Surfer, AutoGLM) and adapt them to real-world use cases
• Develop robust evaluation frameworks to measure agent performance, reliability, and safety in complex software environments
• Translate research concepts into working prototypes and production-ready systems with strong engineering rigor
• Contribute to patents, technical publications, and internal knowledge building aligned with company innovation goals

How will you stand out:

• Master’s or PhD in Computer Science, Artificial Intelligence, Robotics, or a related field
• Demonstrated research or technical impact through publications, open-source contributions, or significant projects -- (Please include a link to your Google Scholar profile or portfolio in your application)
• Proficiency in Python, with experience in large-scale model training, data processing, and system implementation
• Solid understanding of Vision-Language Models, Transformer architectures, or multimodal learning systems
• Familiar with agent optimization or training techniques, such as Reinforcement Learning (e.g., PPO, RLHF) and agent evaluation frameworks or benchmarking environments
• Experience in UI understanding tasks, such as object detection and OCR
• Proficiency with deep learning frameworks such as PyTorch or JAX

XG Tech is committed to providing equal employment opportunities by country, state, and local laws. XG Tech does not discriminate against employees or applicants based on conditions such as race, color, gender identity and/or expression, sexual orientation, marital and/or parental status, religion, political opinion, nationality, ethnic background or social origin, social status, disability, age, indigenous status, and union.

About Company

Founded in 2022, XG Tech is driving the future of smart vehicles. Its mission is to empower the digital transformation of automobiles, moving from distributed computing to a centralized, cross-domain platform.

XG Tech focuses on the intelligent cockpit—the next frontier of differentiation—while seamlessly integrating advanced driving systems. By reimagining cars as mobile living spaces, XG Tech aligns with the evolving trend of vehicles becoming the “third living space.”

Role Summary

As a Senior Agent Researcher, you will design and build evaluation-driven Agent and multi-agent systems for complex real-world applications. You will focus not just on making Agents work, but on understanding, measuring, and continuously improving their behavior, combining research depth with strong engineering execution in an AI-native development environment.

Key Responsibilities

• Build and evolve evaluation-driven Agent systems, using evaluation as the core mechanism for behavior improvement and iteration
• Design Agent architectures that are observable, maintainable, and optimizable under real-world constraints
• Develop scalable evaluation infrastructure, including automated testing, benchmarking, and experimentation frameworks
• Optimize Agent performance across architecture, model selection, context management, memory, and tool usage, balancing performance and cost
• Rapidly prototype Agent systems and demos, integrating research insights with engineering and product validation
• Continuously explore and apply advancements in LLMs, multimodal models, multi-agent systems, and context engineering

How You Will Stand Out

• Proven experience designing, building, or deploying Agent systems, LLM-based applications, or complex AI systems in production environments
• Strong understanding of AI/ML fundamentals and system design, including models, inference, training, context, and evaluation
• Hands-on experience with Agent evaluation frameworks, automated experimentation, or A/B testing
• Ability to translate cutting-edge research (LLMs, MLLMs, multi-agent systems) into practical, production-ready solutions
• Strong systems thinking with a research-oriented mindset and solid engineering execution
• Publications, open-source contributions, or experience in automotive, chip, or intelligent cockpit systems are advantageous

XG Tech is committed to providing equal employment opportunities by country, state, and local laws. XG Tech does not discriminate against employees or applicants based on conditions such as race, color, gender identity and/or expression, sexual orientation, marital and/or parental status, religion, political opinion, nationality, ethnic background or social origin, social status, disability, age, indigenous status, and union.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28AI-Assisted-Polymeric-Memristor-with-Homogenous-Switching-Enables-In-situ-Neurom/33269-en_GB/?st=C6A47C97803351A6289A799639FE792AEAB10BB6

We regret that only shortlisted candidates will be notified.

Job Description

•    Investigation into using AI for material selection and design
•    Investigation into model construction for neuromorphic computing of materials and device
•    Mentor Master students
•    Draft grant proposals
•    Oversee lab safety
•    Draft review article 
•    Assist the research group and PI in group logistics and travel reimbursements

Job Requirements

•    Master degree in chemistry, materials science and engineering, or chemical engineering. 
•    Ample research experience in AI for Science
•    Solid background/experience in  Neuromorphic Computing
•    Excellent communication and writing skills
•    Prior undergraduate mentoring experience
•    Assist in chemicals and supplies ordering for research group
•    Assist in travel reimbursements

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28Machine-Learning-and-Optimization-in-Chemical-Engineering%29%2C-ChBE/33284-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Research Engineer 

•    will work closely with the Principal Investigator on several research projects on using machine learning in chemical and optimization problems 

•    will help to develop machine learning models for both theory and applications in advanced control systems 

Job Requirements

•    B.S. or M.S degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science,  Chemistry, etc.
•    Experienced in machine learning, optimization and programming languages (e.g., python, Matlab, C++, etc)
•    Any experience with 1) advanced control and optimization, 2) machine learning theory and applications, and 3) chemical engineering and chemistry is a plus

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28Machine-Learning-and-Optimization-in-Chemical-Engineering%29%2C-ChBE/33281-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Research Engineer 

•    will work closely with the Principal Investigator on several research projects on using machine learning in chemical and optimization problems 

•    will help to develop machine learning models for both theory and applications in advanced control systems 

Job Requirements

•    B.S. or M.S degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science,  Chemistry, etc.
•    Experienced in machine learning, optimization and programming languages (e.g., python, Matlab, C++, etc)
•    Any experience with 1) advanced control and optimization, 2) machine learning theory and applications, and 3) chemical engineering and chemistry is a plus

Responsibilities:

• Understand & familiarize with the process, practices and ITSM platform related to Support Operations

• Man Ticketing Platform and Support Email during office hours, gather relevant information from customer during initial call.

• Ensure that all correspondence with customers is performed in a prompt and courteous manner.

• Work with vendors, clients, carriers and technical staff on maintenance, optimization, and security of Cisco Unified Communications (UC) system.  This includes but is not limited to troubleshooting infrastructure and services including CUCM, Unity, IMP, Jabber, Voice gateways, UCCX, PCCE, Webex CC,Webex Calling, Telepresence, Expressway, CMS and all other UC application.

• Take ownership/leadership during remediation and troubleshooting sessions. Provide remediation direction, insight and/or recommendations to drive resolution.

• Identify opportunities for expanding the use case, features, and functionalities of the existing system

• Stay updated with the industry trends, new product and services, security issues, and any other information related to the UC system

• Develop and maintain user guides, technical guides, project plans and any other system related documentation for respective system.

• Support for 3rd party integration (Verint, Nexlab, Efax, SMS Gateway, Calabrio, etc..) with the Cisco Systems.

• Adhere to the design, programming, and application standards as setup by the company. Including compliance with all firm and departmental policies and procedures

• Maintain detailed knowledge (and be sensitive) of clients’ environments, where applicable, by maintaining and updating relevant documentation.

• Perform onsite/remote site surveys and/or inventory audit for selected customers.

• Responsible for opening and closing of support tickets when applicable and providing timely updates to user for support cases that has been allocated to you

• Work closely with various team of engineers (internal & external) for troubleshooting.
   

Qualifications:

• Experience Managing & Troubleshooting UC & Contact Centre Solutions

• Experience working with CUCM, Unity Connection, Cisco IMP, Jabber, Expressways, UCCX, CMS, Webex CC, UCCE & PCCE is a must

• Knowledge of Cisco Telepresence (Endpoints, VCS, MCU, TMS, TCS, etc and VC endpoints (MX, DX, SX, Webex Boards, Room Kit)

• Knowledge of handling wireless endpoint (Cisco Wireless Phone 8821, 840, 860)

• Strong knowledge of DNS, TFTP, DHCP including end to end integration with Unified Communications Platform

• Knowledge in SSL Certificate regeneration, renewal and certificate lifecycle management.

• Experience working with Cisco Voice Gateways (ISR G2 / 4K), CUBE

• Experience working with MGCP, H.323 and SIP implementation within voice network

• Experience in troubleshooting Voice routing and call quality issues.

• Deep knowledge for Advanced CUCM Dial Plan

• Experience of 3rd part application integration with CUCM.

• Knowledge of advanced Cisco voice troubleshooting and resolution.

• Knowledge of Voice recording system (AQM/Calabrio/Verint etc)

• Graduates in relevant fields of studies (IT, Infocomm, Comp Science, Etc..)

• Candidates with the relevant certificates (eg. CCNP/CCIE Collab) are preferred.

• Looking for candidates will a strong interest/passion to learn and grow in the technology space.

• Candidate should be customer oriented and able to communicate in a clear and concise manner.

• Candidates should be willing to perform after office hours activities and standby duties

Interested applicants please submit your application with your expected salary and notice period to be considered for the role.

We regret that only shortlisted candidates will be notified.

As part of any recruitment process, we collect and processes personal data relating to job applicants. We are committed to being transparent about how we collect and use that data and to meeting our data protection obligations. By applying to this post and sending us your resume, you agree to the collection, use and/or disclosure of your personal data in the manner as set out in our Data Protection Notice for Job Applicants which can be found

Logicalis is committed to protecting your privacy.

Click below to view the data protection notice.

https://ap.logicalis.com/sites/default/files/2022-10/PIMS-A7.3-01%20Attachment%20I%20DP%20Notice%20for%20Job%20Applicants_updated9sept22.pdf

About DNO Engineers Pte Ltd

DNO Engineers Pte Ltd is a growing MEP consultancy firm providing professional mechanical and electrical engineering services for residential, commercial, and industrial developments in Singapore. We work closely with clients, architects, and contractors to deliver practical, compliant, and cost-effective engineering solutions.

We are currently looking for an Engineer to join our team. Fresh graduates with the right attitude and strong fundamentals are welcome to apply.

Key Responsibilities

• Assist senior engineers in the design and coordination of Mechanical and Electrical (M&E) building services.

• Support preparation of engineering drawings, calculations, and technical documentation.

• Assist in design development for HVAC, electrical, plumbing, fire protection, and ELV systems (exposure will depend on discipline).

• Coordinate with architects, other consultants, and contractors during design and construction stages.

• Attend project meetings, site inspections, and technical discussions.

• Assist in ensuring designs comply with local codes and authority requirements (e.g. BCA, SCDF, SP Group, NEA).

• Support submission of drawings and documents to relevant authorities.

• Perform other engineering and administrative tasks as assigned.

Requirements / Criteria

• Degree in Mechanical Engineering, Electrical Engineering, Building Services Engineering, or related discipline.

• Fresh graduates are welcome; prior internship or site experience will be an advantage.

• Basic understanding of MEP systems in building services.

• Familiar with AutoCAD; knowledge of Revit/BIM will be an advantage.

• Proficient in Microsoft Office (Word, Excel, Outlook).

• Willing to learn, proactive, and able to take instructions well.

• Good communication and interpersonal skills.

• Able to work independently as well as in a team environment.

• Singaporeans or PR preferred.

What We Offer

• Structured on-the-job training and mentorship from experienced engineers.

• Exposure to a wide range of building projects in Singapore.

• Career development and progression opportunities.

• Friendly and supportive working environment.

• Competitive salary commensurate with experience.

Product area

It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours. 

Job description

As a Generative AI (GenAI) Forward Deployed Engineer (FDE) at Google Cloud, you are an embedded builder who bridges the gap between frontier AI products and production-grade reality within partners for our customers. Unlike traditional advisory roles, you will function as an innovator-builder, moving beyond high-level architecture to code, debug, and jointly ship bespoke and scalable agentic solutions directly with our partners, for and within the customer’s environment. This role is designed for high-agency engineers with a founder’s mindset. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with strategic partners, you will serve a dual purpose: providing white glove deployment of complex AI systems and acting as a critical connector and feedback loop for the partner to Google, transforming real-world field and partner insights into Google Cloud’s future product roadmap. You will serve as the agent engineer bridging the gap between AI prototypes and production-grade reality for our strategic AI partners and their own FDE teams.

Qualifications

Job responsibilities

• Serve as a team lead and developer within the strategic AI partner for AI applications, working with the partner’s own teams to transition from rapid prototypes to production-grade, replicable agentic workflows (multi-agent systems, MCP servers) that drive measurable ROI.
• Build high-performance evaluation pipelines and observability frameworks to ensure partner developed agentic systems meet requirements for accuracy, safety, and latency.
• Identify repeatable partner and field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.
• Cobuild with strategic AI partner’s own Forward Deployed Engineering teams to instill Google-grade development best practices, ensuring long-term project success and end-user adoption.
• Help partners to build their own agentic delivery capabilities to set them up for long-term success, focusing on the ROI at customer engagements ensuring customer activation.

Minimum qualifications

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• 8 years of experience with software development using Python or similar coding languages.
• Experience architecting AI systems on cloud platforms (e.g., Google Cloud Platform).
• Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.
• Experience taking production-grade AI-driven solutions from conception to launch for customers.
• Experience leading technical discovery sessions with customers.

Preferred qualifications

• Master’s degree or PhD in AI, Computer Science, or a related technical field.
• Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).
• Knowledge of Large Language Model native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.

We are seeking a hands-on Technology Lead with strong full-stack engineering expertise to drive the design, development, and enhancement of our mobile and web applications.

This role will play a critical part in strengthening our digital capabilities, bringing deep technical expertise, and elevating engineering standards across the application stack.

1. Full-Stack Engineering Leadership

• Lead end-to-end development across frontend, backend, and mobile application layers
• Drive the design, development, and deployment of scalable, high-performance applications
• Contribute hands-on to coding, architecture, and technical problem-solving

2. Mobile & Web Application Enhancement

• Enhance and modernize existing mobile and web applications to improve performance, scalability, and user experience
• Apply best practices in responsive design, API integration, and cross-platform development
• Ensure alignment with business requirements and digital product roadmap

3. Technical Expertise & Solution Design

• Provide deep technical expertise in system design, architecture, and engineering patterns
• Review and guide technical decisions to ensure robust, maintainable, and secure solutions
• Identify opportunities to optimize performance and reduce technical debt

4. Engineering Excellence & Delivery

• Enforce engineering best practices across development lifecycle (coding standards, testing, CI/CD, DevOps) 
• Ensure high-quality delivery through code reviews, testing practices, and automation
• Drive adoption of modern development frameworks and tools

5. Team Collaboration & Mentorship

• Collaborate with cross-functional teams including product, design, platform, and infrastructure
• Mentor engineers and contribute to capability uplift within the team
• Foster a culture of continuous learning, innovation, and knowledge sharing

Requirements

• At least 12 years experience with minimum 5 years of experience in Mobile App building and maintenance
• Strong hands-on experience in full-stack development (frontend + backend + APIs)
• Experience building and scaling mobile and web applications - customer facing application experience is mandatory
• Proficiency in modern application frameworks and languages (e.g., ReactNative, ReactJS, Java, Python, MySQL, Redis, Azure or GCP)
• Familiarity with cloud platforms and DevOps practices (CI/CD pipelines, containerization, monitoring)
• Strong problem-solving and technical decision-making capabilities
• Ability to balance hands-on engineering with leadership responsibilities
• Strong stakeholder communication and collaboration skills
• Passion for innovation and continuous improvement
• Familiarity with reporting, visualization, and data analytic software packages
• Working knowledge of common wealth management platforms available in market
• Proficiency with Project tracking tools like JIRA, Oneview etc.
• Good in MS Office tools
• Familiarity with MS Visio

Product area

The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.

Job description

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Additional Job Description

The Platforms and Devices Engineering, Infrastructure & Operations (PDEIO) Security team reviews and verifies critical components of Android, Chrome, and ChromeOS production infrastructure and its security controls. Our focus is on building solutions using AI Agents to help with the ambitious goal of securing the Supply Chain, including build environments, engineering productivity tools, source code, and third-party components for Android, Chrome and ChromeOS. Our goal is to ensure these components are trustworthy against the AI "Vulnpocalypse".

We build Agentic solutions to help us achieve these goals.

Qualifications

Job responsibilities

• Research, design and develop AI-driven software, tooling, processes and configuration to protect all parts of our supply chain (infra, build pipelines, third-party dependencies) against compromised insider accounts and upstream dependencies.
• Participate in team planning and strategy with ideas, proposals, and initiatives to strengthen supply chain security i.e. to protect source code, builds, and tools from malicious changes, to audit critical infrastructure access, and harden systems so that no person can act alone in making production changes.
• Perform security reviews and design engagements with a broad set of stakeholders from across Android, Chrome, and ChromeOS.

Minimum qualifications

• Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages (e.g., C, C++, Java, Python or Go).

Preferred qualifications

• Experience leveraging AI-assisted tools (e.g., Gemini Cli, Jetski Web) to develop systems, particularly using distinct agents for specialized tasks.
• Experience in security, including malware analysis and defending against open-source project attacks.
• Experience developing and deploying multi-agent solutions in production using frameworks like Agent Development Kit (ADK) or Antigravity/Jetski SDK.
• Experience with non-Google3 development environments and working directly on build infrastructure.
• Experience working within complex codebases like Android and Chrome.
• Experience with Git and associated ecosystems (Gerrit, Gitiles), and working in Google Cloud.