Total 655 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 Verification Engineer, you will lead the functional verification of complex IPs and SoCs. You will design and implement verification plans, build reusable testbenches, and collaborate closely with design teams to ensure high-quality, bug-free silicon.

Key Responsibilities

• Develop and implement comprehensive verification plans for IP and SoC levels.
• Architect and build reusable testbenches and verification environments using UVM (Universal Verification Methodology).
• Create directed and constrained-random tests to identify design bugs.
• Develop functional coverage and assertion checks to ensure verification completeness.
• Analyze simulation results, debug test failures, and work with design teams to resolve issues.
• Automate verification flows and regressions using scripting languages.
• Support emulation and FPGA prototyping efforts.

How you will stand out

• Bachelor’s or Master’s degree in Electrical/Electronics Engineering, Computer Science, or a related field.
• Solid experience in functional verification of ASICs/SoCs.
• Strong proficiency in SystemVerilog and UVM methodology.
• Experience with verification tools and simulators (e.g., VCS, Xcelium, Questa).
• Programming and scripting skills (e.g., C/C++, Python, Perl, TCL) are highly desirable.
• Knowledge of formal verification techniques is a plus.
• Strong analytical and debug skills with a keen attention to detail.
• Ability to work effectively in a collaborative, cross-functional team.

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.

This role focuses on building, integrating, and automating security systems to strengthen detection and response capabilities across on-premise, cloud, and network environments.

Core Responsibilities

1. Design, implement, and integrate security tools across enterprise environments

2. Build and maintain telemetry pipelines into SIEM and detection platforms

3. Support onboarding of systems into security monitoring

4. Implement and manage vulnerability scanning and remediation workflows

5. Work with SOC teams to translate operational gaps into engineering improvements

6. Support incident response and post-incident remediation

Core Requirements

1. Degree in Cybersecurity, IT, Computer Engineering or related field

2. At least 5 years of experience in Security Engineering, DevOps, or platform engineering

3. Experience with enterprise security technologies (e.g. SIEM, SOAR, EDR, cloud security)

4. Proficiency in scripting or automation (e.g. Python, PowerShell)

5. Strong understanding of networking and security telemetry

6. Experience implementing or integrating security platforms (e.g. SIEM, telemetry, cloud security tools)

7. Experience working in multinational or large enterprise environments

8. Ability to deliver engineering outcomes independently

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 SoC/Chip Architect, you will define and drive the architecture of next-generation semiconductor products. You will require a broad technical understanding to deliver optimal, high-performance designs, balancing performance, power, area, and cost.

Key Responsibilities

• Work with product management, marketing, and customers to define product requirements and specifications.
• Perform high-level modeling and analysis to explore architectural trade-offs and define optimal micro-architectures.
• Develop detailed architecture specifications for SoCs, CPUs, GPUs, or other complex IPs.
• Provide technical guidance and leadership to design and verification teams throughout the product development cycle.
• Research and evaluate emerging technologies and industry trends.
• Collaborate with software, system, and hardware teams to ensure a cohesive system architecture.
• Author and present technical documents and proposals to stakeholders.

Qualifications and Skills:

• Master’s or PhD degree in Electrical/Electronics Engineering, Computer Engineering, or a related field.
• Significant proven experience in chip architecture, micro-architecture, or a senior design role.
• Deep understanding of computer architecture concepts (e.g., CPUs, GPUs, memory hierarchies, interconnects, coherency).
• Experience with performance modeling and analysis tools.
• Strong knowledge of software and hardware interactions.
• Proficiency in scripting languages (e.g., Python, C++) for modeling and analysis.
• Excellent leadership, communication, and presentation skills.
• Ability to think creatively and solve complex, multi-dimensional problems.

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 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.

Position Overview
 

Autodesk, Inc. (NASDAQ: ADSK) makes software for people who make things. We are a global leader in design and make software for architecture, engineering, construction, manufacturing, and media and entertainment industries. If you’ve ever driven a high-performance car, admired a towering skyscraper, used a smartphone, or watched a great film, chances are you’ve experienced what millions of Autodesk customers have built with our software. At Autodesk, we exist to turn ideas into new realities that shape a thriving future.

Our software and services harness emerging technologies—such as additive manufacturing (3D printing), artificial intelligence, generative design, and robotics—that give companies and individuals the power to work more quickly, effectively, and sustainably throughout the entire project lifecycle.  Fusion is the first 3D CAD, CAM, CAE, and PCB tool of its kind, unifying design, engineering, electronics, and manufacturing to connect your entire product development process into one cloud-based platform. We are looking for a Senior Engineering Manager for Fusion Manufacturing Data Model (MFGDM) team who will manage local team including engineers from Senior to junior. MFGDM is the foundation of Manufacturing Cloud and the core Data Framework for Autodesk Cloud Flagship Product - Fusion.

Our objective is to build manufacturing data model and cloud services to shift from traditional file to granular data and to enable concurrency, integration, automation and collaboration throughout the entire product lifecycle, making it possible to empower customers to design and make better products faster.

The team we are building in multiple locations globally will focus on building fundamental data model and data services in MFGDM, supporting multi-seat growth for Fusion business, enabling product team using the granulized data to fulfil critical customer workflows, building intelligence/insights from the data, and releasing full values buried in files. The whole effort is an essential part for achieving corporate business strategy. The team will develop, deploy, maintain and support core data model & services. The team need to collaborate with other MFGDM teams cross GEOs. This position will be located in Singapore to further grow local team with other Asian teams.

Responsibilities

• Recruit, coach and develop an effective and highly motivated team to deliver data services solution and/or features to internal consumers and external customers

• Strategically build talents and leadership pipeline in team, build sustainable and healthy team structure to support short term and long-term business growth need

• Acute at detecting potential risks and gaps in projects development and in team development, and guide team to take proactive actions to resolve risks/gaps before they become real problems, save cost and improve team effectiveness

• Strongly drive team to build Customer Trust in the service solutions, including best in class resiliency, performance, scalability, and reliability. Advocate and build engineering excellence and service excellence in our development

• Lead team to support customers and solve customer incidents and issues with sense of urgency. Help team to understand the importance of customer-centricity and build customer empathy

• Collaborate with Product Managers, Product Owners, Software Architects, User Experience Designers and key stakeholders to build viable delivery plan for achieving business objectives

• Coach team to understand corporate vision, the product strategy and what part the team is making impacts to. Help team see the link between their work and corporate/business success and see the path realizing strategies

• Rally team behind the vision, boldly drive team for high quality deliveries while building healthy team atmosphere and work life balance

• Champion teams’ accomplishments and promote teams’ best practices and learnings to adjacent teams and in broader organization

• Find the right approach while facing uncertainties and support teams in navigating changes

• Foster open communication and collaboration cross teams/groups/organizations to achieve common goals. Wear bigger hat and break silos

• Manage team’s performance to ensure successful project completion. Inspire and motivate team members to achieve maximum productivity and optimal creativity. Support each team member in their pursuit of career development paths and opportunities

Minimum Qualifications

• BS/MS in engineering, computer science, or equivalent industry experience

• 12+ years working experience in software industry with 5+ years in leading development teams (managing team members from Junior engineers to Principal engineers, from Developers to QAs)

• Proven experience on leading team to successfully deliver for multiple releases for commercial software or services. Had solid understanding of full software development lifecycle, principles, practices, and methodologies

• Must have fundamentals in technology with Server-side development, preferably JavaScript (NodeJS, lambda, REST API) and AWS services

• Must have experience on working in a scrum team developing cloud services; fully understand services architecture, development, and testing; understand Agile and Scaled Agile. Can work with the team to break down complex technical requirements into logical execution slices

• Have insights about common engineering practice challenges and had experience of leading team to fix/improve them, e.g. automation framework, Feature Flag practice, CI/CD

• Strategic thinking to influence project decisions and develop teams for long term success

• Strong analytical and problem-solving skills. Experienced in using data to detect problems and make data-driven decision

• Demonstrated maturity in handling conflicts within team or cross teams. Hold good balance between being aggressive and being practical

• Comfortable at dealing with ambiguities. Be able to learn fast and grasp necessary key information in short time to build judgement for timely decision making

• Strong interpersonal skills to work with various stakeholders

• Have experiences on developing organization health, building talents, and coaching people

• Proactive communicator who can always communicate risks/concerns/changes/accomplishments to right stakeholders and with impacted teams/people actively

• Great presentation skills. Had experiences to present to senior leadership and to lead group activities

• A multitasker capable of prioritizing and managing time and multiple priorities simultaneously in a fast-paced, time-sensitive, results-oriented environment

• Collaborative, respectful, and thoughtful leader who is interested to work in a diverse and global team. Willingness to collaborate with colleagues across different time zones which may require limited work outside normal working hours

• Willingness to adapt to changing business needs and priorities and acceptance of changing requirements, even late in the development cycle

Responsibilities

• Interpret electrical and ELV schematic diagrams to guide project execution and ensure technical accuracy.

• Coordinate and liaise with sub-contractors to facilitate smooth site work progress and timely issue resolution.

• Review contract specifications and prepare variation orders to align with project requirements and changes.

• Perform engineering design tasks including load and fault calculations to support project planning and safety.

• Diagnose and resolve technical issues during installation, commissioning, and testing phases to maintain project quality.

• Verify installation works comply with approved shop drawings, method statements, project specifications, and relevant standards.

• Participate in regular site meetings with clients and sub-contractors to discuss progress and collaboratively resolve site matters.

• Support Project, Site, and Construction Managers by monitoring project progress and assisting in project management activities.

Requirements:

• ITE/Diploma/Degree or equivalent in Electrical Engineering.

• Experience managing projects for industrial or commercial purposes.

• Experience in MRT projects is advantageous.

• Strong communication and interpersonal skills to effectively engage with diverse teams and stakeholders.

• Demonstrated problem-solving, coordination, and team collaboration skills.

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