Total 10 software architect job vacancies in Education / Training category

Product area

Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.

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

In this role, you will be advancing fundamental capabilities of AI to drive significant benefits to humanity. You will pioneer AI research in Singapore, focused on delivering the most performant, efficient and capable generative AI models.

Qualifications

Job responsibilities

• Abstract out key problems, design elegant and deep solutions for these problems through theoretical or empirical insights.
• Prototype, profile and benchmark solutions to showcase effectiveness.
• Lead and collaborate with research teams located across the globe.
• Drive and grow collaborations with product teams to land product innovations.
• Collaborate with hardware architects/infrastructure teams to inform design and algorithm decisions.
  

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.
• 1 year of experience with software programming in Python or C++.
• 1 year of experience with data structures and algorithms.
• 1 year of experience implementing core Machine Learning (ML) concepts.

Preferred qualifications

• Master's degree or PhD in Computer Science, or a related technical field.
• Experience in a university or industry labs, with emphasis on AI research.
• Experience developing accessible technologies.
• Understanding of transformer architecture internals.
• One or more AI/ML research publication in peer reviewed research conference.

EOS is a University Research Institute at Nanyang Technological University that conducts fundamental research on earthquakes, volcanic eruptions, tsunamis, and climate change in and around Southeast Asia, towards safer and more sustainable societies. For more information on EOS please visit http://www.earthobservatory.sg.

We are looking for a Research Associate or Research Fellow to conduct research on the development of AI or AI-enabled software and tools to support nature-positive business transformation in ASEAN. The research will contribute to a new venture aiming to support Southeast Asian businesses in their sustainability transition.

We are looking for a motivated, entrepreneurial researcher who is not only technically strong but also passionate about developing a long-term research vision at the interface between AI and sustainability. The position offers the chance to build a new line of activity, secure follow-on funding, and establish a leadership role within a dynamic, internationally connected research ecosystem.

Key Responsibilities:

• Review recent developments in the field of Large Language Models, agents, and world models for sustainability applications

• Design and develop AI or AI-enabled software and tools tailored to sustainability and nature-positive business contexts, using curated datasets on sustainability reporting in Southeast Asia.

• Implement, test, and benchmark tool performance using open-source frameworks and tools

• Collaborate with sustainability researchers, data scientists, and industry partners to ensure model relevance and usability.

• Develop user-facing prototypes or APIs that demonstrate the model’s practical applications in reporting, analysis, or decision support.

• Contribute to academic publications, open-source releases, and capacity-building activities.

Job Requirements:

• MSc or PhD in Computer Science, Data Science, Artificial Intelligence, or a related field.

• Proven experience in large/small language model development or AI-enabled software development

• Strong programming skills in Python, and familiarity with key libraries such as PyTorch, TensorFlow, or Hugging Face Transformers.

• Experience with data engineering (e.g., preprocessing, annotation, pipelines).

• Strong analytical and problem-solving skills, with attention to reproducibility and open-source best practices.

• Experience or demonstrated interest in applied NLP for related contexts (e.g., finance, ESG, corporate sustainability, environmental data)

EOS seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status, family responsibilities, or disability.

We regret to inform you that only shortlisted candidates will be notified.

· Analysing and detailing the project idea, assessing the project idea in terms of feasibility, cost-effective-ness, risks and success factors in consultation with Business and IT stakeholder

· Develop the project proposal with objectives, resources, milestones, schedule, costs, expenses and project structure

· Drive project proposal through demand governance process

· Set up appropriate project management processes, measure project performance and report status to senior stakeholders

· Initiate escalations to senior stakeholders if needed

· Develop detailed project plan and create work break down structure (subprojects, work packages, etc)

· Set up an appropriate project organization, including identification and management of stakeholders and team members

· Actively lead the team/squad in various project meetings i.e. SIT / UAT checkpoint calls, BRD walkthroughs, Solution Walkthroughs.

· Manage scope, time, budget, risks and issues on an operational level

· Identify the impact of change requests, issues and changes to underlying assumptions; for project plan variances, develop solution proposals and reconcile them with the demand governance stakeholders

· Manage roll-out / go-live and for the hand-over of the solution to the Operations organizations

· Establish and implement project-related quality assurance processes and measures; ensure the quality of the outcomes and drive their respective acceptance and approval

Stakeholder Management

· Represents IT Asia as an ITPL/ Scrum Master when facing off with internal and external stakeholders

· Work with team members to proactively mitigate risk and provide clear communication plan in a timely manner.

· Provide regular project/program updates to stakeholders.

· Present to stakeholders on progress as well as problems and solutions

· Communicate key insights and findings to IT and business counterparts and work closely with them. Lead knowledge sharing with RTB team for newly implemented modules or functionalities.

· Ensure delivery is predictable i.e. stakeholder are updated regular on the progress and the risks

Regulatory Responsibilities &/OR Risk Management

· Demonstration of appropriate values and behaviours including but not limited to standards on honesty and integrity, due care and diligence, fair dealing (treating customers fairly), management of conflicts of interest, competence and continuous development, adequate risk management, and compliance with applicable laws and regulations.

· Ensure appropriate ethical and compliant behaviour within the function by clear demonstration of appropriate values and behaviours including but not limited to standards on honesty and integrity, due care and diligence, fair dealing (treating customers fairly), management of conflicts of interest, competence and continuous development, adequate risk management, and compliance with applicable laws and regulations

SKILLS REQUIREMENT

· Bachelors degree in Engineering/Information Technology/Computer Science/Related Field

· 12-15 years of IT experience in Project Management in running Waterfall/ Agile projects

· Deep understanding of T24 Core Banking, Temenos wealth suite would be preferred.

· Proven experience in successful delivery of major projects, on time and with quality and within matrix team structures

· Experience in Senior stakeholder management running projects STCs

· Experience in managing project financials (forecast v actual)

· Good understanding of technology trends in banking is preferred

· Working experience of SDLC and Agile methodology

· Strong analytical and problem-solving skills to challenge business/technical requirements to build good and scalable solutions.

· Good written and verbal communication skills including technical writing skills.

· Having very high quality standards for the service delivered to business and have an Eye for attention to detail.

· Ability to work under pressure and manage multiple, concurrent / conflicting priorities with business and IT stakeholders.

The Alibaba-NTU Global e-Sustainability CorpLab (ANGEL) represents a key collaboration between Alibaba Group and Nanyang Technological University (NTU). Supported by the Singapore RIE2025 Fund, ANGEL creates and deploys impactful green digital technologies for global sustainability.

ANGEL’s mission aligns seamlessly with Singapore’s national objectives, such as the Singapore Green Plan 2030 and the Singapore Smart Nation Initiative. ANGEL’s work in developing sustainable and equitable digital solutions and promoting a sustainable and green lifestyle will contribute to a smaller carbon footprint. Its holistic approach will help to secure a brighter, more sustainable future for humanity. 

We are looking for a motivated Research Scientist to conduct innovative research and develop intelligent algorithms and system frameworks that optimize cost, performance, and scalability. The role focuses on leveraging machine learning and reinforcement learning to enhance storage and service efficiency under dynamic workloads, while bridging theoretical research with practical implementation through close collaboration with cross-functional teams.

Job Description:

• Conduct cutting-edge research in cloud computing, edge computing, service computing, and distributed storage systems.

• Design and develop novel algorithms and system frameworks for cost optimization, latency reduction, auto-tiering, caching, and cloud-edge collaborative data management.

• Apply advanced machine learning and reinforcement learning methods to optimize storage and service systems under dynamic workloads.

• Collaborate with researchers and project teams to translate theoretical advances into practical, scalable computing systems.

Job Requirements:

• PhD in Computer Science, Software Engineering, Distributed Systems, Cloud Computing, or a related field.

• Strong research background in service computing, cloud computing, edge computing, and distributed storage systems.

• Solid knowledge of optimization algorithms, system design, and intelligent resource management methods.

• Ability to work independently and effectively in collaborative research environments.

We regret to inform that only shortlisted candidates will be notified.

The Alibaba-NTU Global e-Sustainability CorpLab (ANGEL) represents a key collaboration between Alibaba Group and Nanyang Technological University (NTU). Supported by the Singapore RIE2025 Fund, ANGEL creates and deploys impactful green digital technologies for global sustainability.

ANGEL’s mission aligns seamlessly with Singapore’s national objectives, such as the Singapore Green Plan 2030 and the Singapore Smart Nation Initiative. ANGEL’s work in developing sustainable and equitable digital solutions and promoting a sustainable and green lifestyle will contribute to a smaller carbon footprint. Its holistic approach will help to secure a brighter, more sustainable future for humanity. 

We are looking for a motivated Research Scientist to conduct innovative and impactful research in advanced machine learning, with a focus on recommendation systems, graph neural networks, and multimodal AI, by designing novel models and methodologies, and leveraging large-scale structured and unstructured data to enhance intelligent decision-making and real-world application performance.

Job Description:

• Conduct high-quality research in recommendation systems, graph neural networks, and multimodal machine learning.

• Design and develop novel AI models for sequential recommendation, cross-domain learning, self-supervised learning, and knowledge distillation.

• Analyze large-scale structured and unstructured data, including user behavior, graph data, and multimodal content such as text and images.

Job Requirements:

• PhD in Computer Science, Software Engineering, Artificial Intelligence, or a related field.

• Strong research background in recommendation systems, graph neural networks, and multimodal representation learning.

• Solid programming and model development skills in machine learning and deep learning frameworks.

• Ability to work independently and collaboratively in academic and interdisciplinary research environments.

We regret to inform that only shortlisted candidates will be notified.

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-Assistant-%28PLSE%2C-Software-Security%29%2C-School-of-Computing/32279-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Assistant in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.
 
The successful candidates will be responsible for working closely with the incoming Assistant Professor Dr. Chengpeng Wang (https://chengpeng-wang.github.io/) and lab members on one or more research projects in the area of intelligent code auditing. He/she should possess experience or interest in at least one of the following research areas:

• Software Engineering
• Programming Languages
• Software Systems Security

Only shortlisted candidates will be notified.

Qualifications

• Bachelors or fresh Master’s degree in a relevant area for research assistant position
• Experience in research in program static analysis, testing, or verification.
• Candidates with publications in top-tier conferences in Software Engineering, Programming Languages, or Security are preferred
• Familiarity with program analysis frameworks such as LLVM, Soot, etc., is preferred

The Centre for Advanced Technologies in Online Safety (CATOS; https://www.catos.sg) was established in 2023 to host Singapore's Online Trust and Safety (OTS) Programme, a national research programme that leads the advancement of whole-of-nation technology capabilities to monitor and tackle online harms. The Systems Engineering Pillar of CATOS focuses on translational research and development, including evaluating, testing and integrating research output into needle-moving applications. One of the major outcomes will be a technological platform with an integrated suite of deep tech OTS engines, which analyses various internet sites and platforms for fast-trending harmful online content, such as non-factual claims, deepfakes, and hateful and toxic content. Different combinations of OTS engines can then be integrated and adapted to address the specific requirements of various stakeholders.

This role will be responsible for translating research outcomes (e.g., CATOS technologies and OTS engines) into meaningful applications to address the specific needs of various user groups, including public and private agencies, as well as the general public.

The candidate will assume the following roles and responsibilities:

• Explore and apply (Multi-Modal) Large Language Models and emerging AI technologies to solve practical problems.
• Code, develop, and test back-end components that integrate AI capabilities into end-user applications.
• Work with software developers to enhance core platforms and solutions.
• Develop documentation for the implemented solution.
• Follow Agile project management framework.
• Work and communicate well with other team members.
• Stay updated with advancements in AI to evaluate and apply relevant technologies for new challenges.

JOB REQUIREMENT:

• A Bachelor / Master degree in Computer Science / Information Technology / Computer Engineering / Information Systems / Data Engineering / Computational Social Science or equivalent.
• At least 5 years of relevant work experience.
• Demonstrable experience in using machine learning / deep learning frameworks and models.
• Experience in using (Multi-Modal) Large Language Models is valued.
• Demonstrable and relevant commercial and/or enterprise software project management experience and skills.
• Programming skills in Python are essential.
• Experience with the Linux platform is essential.
• Experience with web servers (e.g., Apache), browser-based applications, and databases such as MySQL.
• Able to create complex and interactive UI using HTML5, CSS3, and JavaScript that function across multiple platforms and environments.
• Experience with web libraries and frameworks such as Flutter, ReactJS, Bootstrap, Jquery, and CSS pre-processing frameworks like Sass or Less.
• Solid understanding of HTTP protocols, AJAX, and RESTful services.
• Solid understanding of networking concepts, including TCP/IP and HTTP protocols.
• Hands-on experience with cloud environments, preferably Digital Ocean, AWS, Azure, or GCP.
• Good knowledge on CI/CD pipelines. (e.g. Bitbucket, GitLab)
• Proactive team player with strong communication skills.
• Strong understanding and experience with Agile methodologies and processes.
• Good communication and interpersonal skills for working in a multicultural work environment.
• Strong understanding of algorithms. (i.e., The Art of Programming by Donald Knuth)
• Proficient in clean coding principles. (i.e., Clean Code by Robert Martin)

If you have accomplished any of the following, please include them in your cover letter:

1. You have won a programming competition.
2. You have independently built a software project. (any programming language)
3. You enjoy solving challenging programming problems. Please describe one problem you've solved. (max 1 page)
4. You have been trained under Agile Software Development framework.

Our research and engineering work is highly interdisciplinary, agile, and pragmatic. The candidate will collaborate closely with a team that embraces agile software development.

• We expect everyone to take ownership of their role, responsibilities, and tasks.
• We encourage everyone to speak up when they have feedback or ideas for improvement.
• We provide honest feedback to one another, which can be tough at times, but it fosters rapid learning.
• We care about each other's professional growth and well-being.

When applying, please share with us one project you have built fully on your own or a challenging technical problem you have solved (max 1 page).

Please note that only shortlisted candidates will be notified.

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.

The Centre for Advanced Technologies in Online Safety (CATOS; https://www.catos.sg) was established in 2023 to host Singapore's Online Trust and Safety (OTS) Programme, a national research programme that leads the advancement of whole-of-nation technology capabilities to monitor and tackle online harms. The Systems Engineering Pillar of CATOS focuses on translational research and development, including evaluating, testing and integrating research output into needle-moving applications. One of the major outcomes will be a technological platform with an integrated suite of deep tech OTS engines, which analyses various internet sites and platforms for fast-trending harmful online content, such as non-factual claims, deepfakes, and hateful and toxic content. Different combinations of OTS engines can then be integrated and adapted to address the specific requirements of various stakeholders.

This role will be responsible for translating research outcomes (e.g., CATOS technologies and OTS engines) into meaningful applications to address the specific needs of various user groups, including public and private agencies, as well as the general public.

The candidate will assume the following roles and responsibilities:

• Explore and apply (Multi-Modal) Large Language Models and emerging AI technologies to solve practical problems.
• Code, develop, and test back-end components that integrate AI capabilities into end-user applications.
• Work with software developers to enhance core platforms and solutions.
• Develop documentation for the implemented solution.
• Follow Agile project management framework.
• Work and communicate well with other team members.
• Stay updated with advancements in AI to evaluate and apply relevant technologies for new challenges.

JOB REQUIREMENT:

• A Bachelor / Master degree in Computer Science / Information Technology / Computer Engineering / Information Systems / Data Engineering / Computational Social Science or equivalent.
• At least 5 years of relevant work experience.
• Demonstrable experience in using machine learning / deep learning frameworks and models.
• Experience in using (Multi-Modal) Large Language Models is valued.
• Demonstrable and relevant commercial and/or enterprise software project management experience and skills.
• Programming skills in Python are essential.
• Experience with the Linux platform is essential.
• Experience with web servers (e.g., Apache), browser-based applications, and databases such as MySQL.
• Able to create complex and interactive UI using HTML5, CSS3, and JavaScript that function across multiple platforms and environments.
• Experience with web libraries and frameworks such as Flutter, ReactJS, Bootstrap, Jquery, and CSS pre-processing frameworks like Sass or Less.
• Solid understanding of HTTP protocols, AJAX, and RESTful services.
• Solid understanding of networking concepts, including TCP/IP and HTTP protocols.
• Hands-on experience with cloud environments, preferably Digital Ocean, AWS, Azure, or GCP.
• Good knowledge on CI/CD pipelines. (e.g. Bitbucket, GitLab)
• Proactive team player with strong communication skills.
• Strong understanding and experience with Agile methodologies and processes.
• Good communication and interpersonal skills for working in a multicultural work environment.
• Strong understanding of algorithms. (i.e., The Art of Programming by Donald Knuth)
• Proficient in clean coding principles. (i.e., Clean Code by Robert Martin)

If you have accomplished any of the following, please include them in your cover letter:

1. You have won a programming competition.
2. You have independently built a software project. (any programming language)
3. You enjoy solving challenging programming problems. Please describe one problem you've solved. (max 1 page)
4. You have been trained under Agile Software Development framework.

Our research and engineering work is highly interdisciplinary, agile, and pragmatic. The candidate will collaborate closely with a team that embraces agile software development.

• We expect everyone to take ownership of their role, responsibilities, and tasks.
• We encourage everyone to speak up when they have feedback or ideas for improvement.
• We provide honest feedback to one another, which can be tough at times, but it fosters rapid learning.
• We care about each other's professional growth and well-being.

When applying, please share with us one project you have built fully on your own or a challenging technical problem you have solved (max 1 page).

Please note that only shortlisted candidates will be notified.

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.

You will lead / support efforts to scale and shape a comprehensive learning ecosystem that embeds a strong Tech Risk mindset across our technologist population. You will lead / support the design, delivery, and continuous enhancement of trainings, scenario-based modules, peer-learning forums, and digital-first campaigns in alignment with the Tech Risk Culture (TRC) framework.

You will also be responsible for in-house creativeexecution and copywriting of related internal communications, translating complex risk concepts into engaging multimedia assets without reliance on external creative agencies.

Key Responsibilities

1. Curriculum Strategy & Design

- Core Tech Risk Culture Content: including Tech Risk Culture Statement & Behaviours, Red Lines, Accountability Framework,
Tech Risk KPIs, RISE Framework, 3 Lines of Defence, etc.

- Scenario-Based Learning: Lead / support development and rollout of Tech Risk case-study modules.

- Tech Risk Culture Training: Support thecontent development or refresh with a focus on Tech Risk topics.

2. Delivery & Execution

- Directed Unit Learning: Partner with Tech Unit leads to tailor ongoing, role-based learning (e.g. Workplace Hygiene, Desired Behaviours, Risk Appetite, Accountability & Ownership) and track completion.

- Social & Peer Learning: Curate and facilitate monthly incident-based learning sessions, turning real-world case studies into collaborative knowledge exchanges.

3. Digital & Campaign Management

- E-Learning & Gamification Platform:Leverage gamification engine and e-learning authoring tools to deploy digital learning at scale and measure platform engagement.

- In-House Creative Production:Independently design, develop, and deploy a wide range of visual and multimedia communication assets (e.g., eDMs, digital signage / lift banners, infographics, SharePoint / microsite content, and short-form videos).

- Copywriting: Draft compelling, jargon-free, and behaviourally informed copy for internal campaigns, newsletters, and leadership talking points that resonate with a highly technical audience.

- Internal Marketing: Support marketing and communications campaigns to reinforce key learnings and call out desired riskbehaviours.

4. Measurement & ContinuousImprovement

- KPI Tracking: Define and monitor adoption, knowledge-retention, and behaviour-change metrics across all learning streams.

- Feedback Loops: Solicit learner feedback, conduct periodic content audits, and refine modules iteratively to stay aligned with evolving Tech Risk Culture priorities.

Qualifications & Experience

- 10+ years in corporate Learning & Development,
Internal Communications, or equivalent.

- Proven track record designing and scaling adult learningprograms – especially scenario-based, behavioural science–informed,and risk-related curriculum.

- Good working knowledge of digital learning tools: LMSplatforms, gamification engines, e-learning authoring software (e.g., Articulate Storyline), email-marketing systems, and intranet content management systems (e.g., SharePoint).

- Experienced in Corporate Communications, Internal Comms, or Digital Marketing, with a strong portfolio demonstrating self-produced visual and written campaigns.

- Good understanding of risk frameworks (3 Lines of Defence, RISE, KPIs) and change management best practices.

- Strong stakeholder management skills; comfortable partnering with senior technologists, risk leaders, and sponsors.

- Hands-on proficiency with creative design and multimediatools (e.g., Adobe Illustrator, Photoshop, Canva, Figma, or videoediting software).

- Excellent copywriting and editorial skills, with the ability to adapt tone and voice for different internal channels and leadership personas.

- Experience in applied behavioural science or equivalent would be an advantage.

Core Competencies

- Strategic Learning Design:Translate complex risk concepts into compelling, bite-sized learningexperiences.

- Creative Execution & Storytelling:Ability to independently craft visually appealing and engaging narratives.Skilled at using visual design and storytelling as tools to reduce"friction-cost" and cognitive load for the learner.

- Behavioural Science Application:Leverage nudge techniques, scenario realism, and social proof to drive mindset shifts.

- Data-Driven Mindset: Use analytics and learner feedback to continuously optimize content and delivery.

- Collaborative Leadership: Build high-performing L&D teams and foster cross-functional partnerships.

- Change Advocacy: Act as a visible champion for Tech Risk Culture, inspiring technologists to own and sustain safe practices.

This job advertisement is posted by:

Tan Geok Khim (Deng Yuqin) (R22107857)

A-IT Software Services Pte Ltd

EA License No: 24C2345

We are seeking to appoint a Research Associate to contribute to NTU’s mission of advancing cutting-edge research and industry translation in software engineering and cybersecurity. The successful candidate will work on the industry project focusing on the automated open-source component detection and emulation-based fuzz testing technologies for automotive software systems.

The role involves developing scalable binary analysis frameworks, AI-driven program understanding techniques, and automated security testing pipelines for embedded MCU and SOC platforms. The candidate will collaborate closely with academic researchers and industry engineers to transform research prototypes into deployable, high-performance solutions aligned with industrial requirements.

Key responsibilities:

• Develop and optimize automated binary analysis and open-source component detection systems.

• Design and enhance emulation-based fuzz testing frameworks for embedded environments.

• Apply AI and large language model (LLM)-based techniques to improve program analysis and vulnerability assessment.

• Support system integration, benchmarking, deployment, and technical documentation.

Requirements:

• A Masters degree in Computer Science, Software Engineering, Artificial Intelligence, or a related discipline.

• Strong research track record in software engineering, AI for code, or software security (e.g., publications in reputable international venues).

• Experience in program analysis, intelligent software systems, or LLM-based code intelligence.

• Strong programming skills in Python and/or C/C++.

• Ability to work independently and collaboratively in academia–industry joint projects.

We regret to inform that only shortlisted candidates will be notified.