Total 495 process development engineer job vacancies in george town

DUTIES AND RESPONSIBILITIES

• Provide on-site and/or remote technical assistance to customers, diagnosis and troubleshooting of technical problems
• Deployment, maintenance, upgrading and support of client computer systems (hardware, software, OS, network, etc.)
• Windows OS, AD, Office 365, Intune configuration and administration, patching & file server management
• Maintain a high level of user satisfaction with excellent customer service, offering solutions to meet clients’ needs
• IT asset management and other adhoc duties as assigned

QUALIFICATIONS

• Bachelor’s degree in computer science, IT or related field or equivalent in education and experience
• Knowledge in Microsoft O365, Teams, AD and management tools
• Knowledge in Logitech and Poly products video conference systems
• Knowledge in PC and IOS mobile devices
• Good coordination and communication skills with internal and external customers
• Strong analytical and issue resolution skills
• Strong collaborative and team coordination skills
• Able to work in a fast-paced environment
• Be well organized and able to work under pressure
• Good interpersonal skills with a service orientated approach
• Be able to work well individually as well as with a team

DUTIES AND RESPONSIBILITIES

• Provide on-site technical support in customers office, diagnosis and troubleshooting of technical problems
• Provide technical support to VIP users
• Deployment, maintenance, upgrading and support of client computer systems (hardware, software, OS, etc.) and video conference systems
• Windows OS, AD, Office 365 configuration and administration, patching & file server management
• Maintain a high level of user satisfaction with excellent customer service, offering solutions to meet clients’ needs
• IT asset management and other adhoc duties as assigned

QUALIFICATIONS

• Bachelor’s degree in computer science, IT or related field or equivalent in education and experience
• Knowledge in Cisco/Meraki/HPE routers, switch, access point
• Knowledge in Microsoft O365, Teams, AD and management tools
• Knowledge in APC, Apple, HP, Logitech, Poly products
• Good coordination and communication skills with internal and external customers
• Strong analytical and issue resolution skills
• Strong collaborative and team coordination skills
• Able to work in a fast-paced environment
• Be well organized and able to work under pressure
• Good interpersonal skills with a service orientated approach
• Be able to work well individually as well as with a team

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.

Product area

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

Job description

As a Global System Integrator (GSI) Partner Engineer, you will partner with GSI Partner development and Sales teams to differentiate Google Cloud to our key GSI partners. You will serve as the GSI partner’s primary technical partner and trusted advisor, engaging in technical-led conversations to understand their business challenges. You will troubleshoot technical questions and roadblocks, engage in proofs of concepts and demos, and use your expertise to architect cross-pillar cloud solutions that solve these business challenges. You will drive the technical win with the GSI Partner and assist the GSI Partner to define the delivery and consumption plans. You will use your strategic acumen and presentation skills to engage with technical and business leaders, and present solutions on Google Cloud. You will have excellent technical, communication and organizational skills.

You will focus on identifying, pursuing, and winning new business workloads and driving engagement within existing ones as a technical generalist, spanning infrastructure modernization, application modernization, data analytics and more. You will blend business prowess, market knowledge and technical engagement to prove the value of the Google Cloud portfolio.

Qualifications

Job responsibilities

• Develop and own the GSI Partner technical strategy, participating in planning and supporting business initiatives.
• Combine sales, programming, and solutions architecture expertise to prove the value of Google Cloud Platform across the portfolio through complex demos, pilots and workshops.
• Architect cross-pillar solutions, drive technical wins, and define initial delivery plans for customers; continue to lead the technical engagement in the solution phase.
• Plan and support the GSI Partner in building, developing and enhancing their Google Cloud Practice.
• Be the Technical point of contact for GSI partner for product and solution enquires, working in conjunction with Product and Support specialists within Google Cloud Platform (GCP).

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 10 years of experience with cloud native architecture in a customer-facing or support role.
• Experience with cloud engineering, on-premise engineering, virtualization, or containerization platforms.
• Experience engaging with, or presenting to, technical stakeholders or executive leaders.
• Experience in managing GSI Partners or other Channel Partners as a Technical Alliance lead or engineer.

Preferred qualifications

• Experience selling technical solutions in one or more of the following: Infrastructure Modernization, Application Modernization, Data Management, Data Analytics, Cloud AI, Networking, Migrations, Security.
• Experience driving the entire business cycle (e.g., defining the delivery and consumption plan and transitioning it for execution).
• Experience building technical strategies to uncover new workloads with customers.
• Experience migrating applications and services to cloud platforms.
• Experience translating customer objectives into integrated Cloud solutions across multiple domains.

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

As a Senior Software Engineer for the Singapore Cloud and Third Party Security team, you will be a key technical driver for our growing software engineering team. You will leverage your software development expertise to own the design and delivery of scalable, high-quality systems and products that identify and remediate security risks across Alphabet's public cloud and third-party footprint. You will work with a high degree of autonomy, collaborate closely with cross-functional stakeholders, and mentor junior engineers to help build a strong engineering culture at our Singapore site.

Qualifications

Job responsibilities

• Design, implement, and deploy critical software components and products autonomously to identify, measure, and remediate security gaps in Alphabet's public cloud and third-party vendor usage.
• Own and drive engineering milestones for specific projects within the Cloud and Third Party Security domain, ensuring high code quality, scalability, and security.
• Partner cross-functionally with Security Engineers, Technical Solutions Consultants, and partner teams to define requirements, design systems, and implement scalable security controls.
• Mentor junior software engineers in the team, fostering a culture of technical excellence, high code quality, and continuous learning.
• Identify technical debt and implement refactoring efforts to improve the overall maintainability, reliability, and complexity of engineering efforts within the team.
  

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience building software for data privacy or security (e.g., identity and access management).
• 3 years of experience testing, maintaining, or launching software products.
• 1 year of experience with software design and architecture.

Preferred qualifications

• Master's degree or PhD in Computer Science or a related technical field.
• Strong proficiency in Go or Python, with a proven track record of designing and evolving distributed systems that handle global-scale data with high availability and security.
• Track record of technical leadership, including mentoring junior engineers and driving technical alignment for small-to-medium sized projects.
• Strong background in relevant security domains, particularly in cloud infrastructure and third party security controls.
• Ability to navigate ambiguity and translate complex product/security requirements into robust technical designs.

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.

The Associate SoftwareTesting Engineer will be responsible for the Software Test design andexecution for the applications under test and will closely work with the QAManager, Business/Functional Analyst and Project Manager through the ProjectLife Cycle. The individual should have a strong understanding of Agile andwaterfall models

• Experience in Software Development Life Cycle Process (SDLC) , Software Testing Lifecycle (STLC) ,Test Methodologies and defect life cycle.
• Knowledge and experience in analysing Software Requirement Specification and identifying and creating  the required test scenarios, test cases, test data and document traceability matrix to ensure sufficient test coverage.
• Experience in executing test cases and test plans to support the quality assurance activities throughout the software lifecycle.
• Able to perform defect reporting and verification of the fixes.
• Effective Communication with strong interpersonal skills and good analytical, problem solving skills.
• Healthcare domain knowledge.
• Experience in testing mobile apps.
• Able to conduct Test Readiness Review (TRR) to ensure readiness of the test phase.
• Experience in API testing using postman.
• Knowledge of SQL and scripting.
• Hands-on experience and expertise with test management tool.
• Development /scripting skills in programming languages which are compatible for Selenium WebDriver such as Java/C#/Python.
• Experience in Automation of Web Applications.
• Good Knowledge in using Version control Management tools such as Bitbucket, GitHub and sound understanding of the code review process.
• experience in manualtesting, with at least 2-3 years focused on Microsoft Dynamics CRM 365
• Strong knowledge of Dynamics CRM functionality, including sales, marketing, service, and custom modules.
• Analyse business requirements and translate theminto detailed test cases for Microsoft Dynamics CRM 365 applications
• Execute test cases manually, including functional, integration, and regression testing for Microsoft Dynamics CRM modules.
• Identify, document, and track defects/issuesfound during testing in defect management tools like Jira, Azure DevOps, etc.

Requirements

• Bachelors Degree in Computer science or related field 
• 5-10 years of Testing experience
• Effective Communication with strong interpersonal skills and good analytical, problem solving skills.
• Healthcare domain knowledge (good to have)
• Basic knowledge of automated testing tools and scripting is an advantage.
• Experience in testing integrations with other Microsoft technologies

KEY RESPONSIBILITIES:

• Contribute to IP selection and architecture definition; create functional specifications.
• Perform PPA evaluation and optimization.Develop RTL for functional blocks/units with architectural features and timing constraints, targeting synthesis and APR.
• Support debugging across RTL simulation, gate-level, and post-layout simulations.
• Conduct quality checks using FE EDA tools such as Spyglass.lint, CDC, RDC, etc.
• Take ownership of the full project lifecycle, from architecture to production.

PREFERRED EXPERIENCE:

• > 10 years of hands-on experience in digital frontend design.
• Strong proficiency in Verilog/VHDL.
• Hands-on experience with logic FE tools (e.g., VCS, Verdi, Spyglass, DC).
• Experience in Static Timing Analysis is a strong plus.
• Prefer candidates with experience implementing advanced-process chips.
• Familiarity with low-power design and power simulation preferred.
• Proficiency in TCL, Perl, or similar scripting languages is a plus.
• Prior experience with multiple tape-outs and chip bring-up is preferred.
• Leadership or management experience is an advantage.

ACADEMIC CREDENTIALS:

• Bachelor or Masters Degree in Electronic Engineering, with years relevant work experience.

Company Description

Zuler is a global leader in remote desktop and cloud computing technologies, specializing in ultra-low latency, high-resolution solutions with their proprietary ZeroSync® Engine. With millions of users and enterprise subscribers worldwide, Zuler is revolutionizing connectivity and accessibility to high-performance computing. The company is backed by significant investments, patents, and a diverse team of industry experts.

About the Role

We are now seeking an experienced Full Stack Engineer that is proficient with the latest AI tools to drive the design and development of the web applications for our current projects end-to-end.

Key Responsibilities:

1. Design and develop the front-end architecture of web applications, ensuring a smooth user experience and highly responsive interfaces;
2. Build high-performance, scalable server-side applications using Node.js, and design RESTful APIs and microservices architectures;
3. Utilize Python for data analysis, script development, and the creation of automation tools;
4. Leverage AI-assisted programming tools to enhance code quality and development efficiency;
5. Participate in technology selection and architecture reviews, driving continuous improvement in the team’s technical capabilities;
6. Collaborate effectively with product, design, and testing teams to ensure timely and high-quality project delivery.

Requirements:

1. Work Experience: Minimum of 5 years of full-stack development experience, with a proven track record of delivering end-to-end projects from inception to production;
2. Front-End Skills: Strong proficiency in HTML5, CSS3, and JavaScript; hands-on experience with at least one mainstream framework such as React, Vue, or Angular; familiarity with front-end engineering practices and performance optimization;
3. Back-End Skills: Deep expertise in Node.js and its ecosystem (e.g., Express, Nest.js, Koa), with experience in developing high-concurrency and distributed systems;
4. Python Skills: Proficient in Python for back-end development, data processing, or automation scripting;
5. Databases: Solid experience with databases such as MySQL, PostgreSQL, or MongoDB, including database design and optimization capabilities;
6. DevOps: Familiarity with Docker, Kubernetes, and CI/CD pipelines, with hands-on experience using cloud service platforms;
7. AI Tools: Proficient in using AI-assisted development tools, with strong prompt engineering capabilities.
8. Language Skills: Proficiency in Chinese (Mandarin) language in both verbal and written media is essential to communicate with key stakeholders and cross-functional project team members based in China.

Preferred Qualifications:

1. Contributions to open-source projects or demonstrated influence through technical blogs or developer communities;
2. Familiarity with AI/LLM application development, with practical project experience.

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

Job Description

We are seeking a talented and self-motivated Scientist, the successful candidate will join the Advanced Process Modules (APM) team at IME, develop specialty technologies for CMP process.

Key Roles and Responsibilities

1. Develop CMP process for silicon photonics, flat optics, advanced packaging, MEMS, and wide bandgap semiconductor applications to enable process and/or product realization.
2. Provide technical leadership in collaboration with process development, optimization, and troubleshooting for both industrial and grant-funded projects.
3. Own innovation strategy for CMP raw materials, slurry, methodologies, and approaches to enhance CMP uniformity, stability and defect performance.
4. Prepare and deliver technical reports and presentations for both internal stakeholders and external customers, effectively communicating project progress and technical insights.
5. File patents and know-hows for new development activities.
6. Publish research findings in leading journals and conferences

Job Requirements

1. Ph.D degree in Electronics, Microelectronics, Materials Engineering, Mechanical Engineering, Chemical Engineering, Materials Science, Chemistry, Physics, or equivalent.
2. Minimum 2 years of relevant working experiences in R&D and/or semiconductor industry, preferably in CMP technologies.
3. Hands-on experience with 200 mm or 300 mm CMP equipment platforms (e.g., AMAT or Ebara) is highly desirable.
4. Knowledge of silicon photonics, advanced packaging, MEMS, or wide bandgap semiconductor platforms is advantageous.
5. Hands-on experience with basic process characterization techniques such as SEM, Ellipsometry, and AFM is a plus.
6. Strong skills in experimental design (DOE), data analysis, and process optimization.
7. Good analytical and communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.
8. Self-motivated with a strong interest in advancing next-generation CMP applications and industry trends.

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.

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

As a Software Engineer III in the Singapore Cloud and Third Party Security team, you will work independently to deliver on well-defined engineering milestones. You will contribute to building and scaling products that identify and secure Alphabet's public cloud and third-party environment usage. You will collaborate closely with senior engineers and cross-functional partners, leveraging this opportunity to deepen your expertise in cloud security engineering while helping establish our Singapore software engineering presence.

Qualifications

Job responsibilities

• Implement and test software features, APIs, and tools to support cloud security controls and third-party risk remediation.
• Deliver end-to-end tasks and milestones for projects with minimal assistance from more senior team members, planning and organizing your own work effectively.
• Participate in system design and architectural discussions, contributing technical perspectives and helping select appropriate approaches to address technical challenges.
• Collaborate with immediate team members and cross-functional partners to deliver on project milestones and proactively manage blockers.
• Maintain high code quality by writing comprehensive unit/integration tests, participating in code reviews, and improving documentation.

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.
  
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
  
• 2 years of experience with full stack development, across back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.

Preferred qualifications

• Master's degree or PhD in Computer Science or related technical fields.
• Experience building software for data privacy or security (e.g., identity and access management).
• Experience with modern software engineering practices, including unit testing, continuous integration, and code review.
• Experience in Go and Python and familiarity with public cloud platforms and basic cloud security concepts.
• Ability to learn quickly and adapt to new technologies and ambiguous problem spaces.
• Excellent communication skills and ability to collaborate effectively within a global team.

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 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 customers. Unlike traditional advisory roles, you function as an "innovator-builder," moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment. This role is designed for high-agency engineers with a founder’s mindset, and you will address blockers to production including solving the integration complexities, data readiness issues, and state-management challenges that prevent AI from reaching enterprise-grade maturity. By embedding with strategic accounts, you serve a dual purpose: providing "white glove" deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.

Qualifications

Job responsibilities

• Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable return on investment.
  
• Architect and code the "connective tissue" between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.
  
• Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.
  
• Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for engineering teams.
  
• Be able to co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption. Translate technical concepts to non-technical and executive Mandarin-speaking audiences.

Minimum qualifications

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
  
• 5 years of experience with software development using Python or similar coding languages.
• Experience architecting AI systems on cloud platforms (e.g., GCP).
  
• 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.
• Ability to communicate in Mandarin fluently in order to communicate in this customer-facing role.

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).
  
• Experience leading technical discovery sessions.
• Knowledge of "LLM-native" metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.

Responsibilities:

• As an Innovation and Applied-AI Engineer, you will proactively identify opportunities, experiment with new concepts, and drive them end-to-end, from ideation to real-world deployment, with a high degree of autonomy and creativity.
• You will design and build AI-driven software solutions, leveraging GenAI to enhance internal workflows and create new product capabilities, while prototyping and validating ideas through proofs of concept (POCs).
• You will continuously evaluate new AI and GenAI technologies, assessing their relevance and deciding whether to adopt, adapt, or discard them. This includes applying insights from research, experimenting with models, exploring agentic AI, and developing demo applications.
• You bring a strong software engineering foundation, with the ability to build end-to-end applications across front-end and back-end, and collaborate effectively within a distributed, multidisciplinary team in a dynamic and fast-evolving environment.

Requirements:

• Bachelor’s, Master’s, or PhD in Computer Science (or equivalent)
• Software Engineers with electives or majors in AI/ML, deep learning, or agentic AI.
• 3-5 years of working experience is required.
• Proficiency in software development using one or more of JavaScript, Java, Swift, or Python.
• Solid background in AI/ML, with the ability to understand and apply AI theory to real-world problems, including GenAI adoption in daily practice and new product features.
• Strong analytical skills, with an interest in reading academic papers and translating research into practical, innovative solutions.
• Familiarity with full-stack development and rapid prototyping using frameworks such as Flask, FastAPI, or React.
• Familiarity with generative AI frameworks (e.g., Hugging Face, LangChain, OpenAI APIs) and agentic AI systems.
• Familiarity with cloud platforms (AWS, Azure, or GCP), CI/CD pipelines, and containerization tools.

About Cynapse

Cynapse is a leading AI software company specializing in enterprise-grade Video Intelligence Solutions Powered by Generative AI, tailored to meet the unique challenges of various industries. Our vertical-specific solutions empower organizations to enhance safety, operational efficiency, and security in complex environments such as roads, seaports, airports, and cities. By combining advanced Vision AI with Generative AI, we continually push the boundaries of video analytics, delivering insights and automation that transform operations.

Led by a global team with a proven track record of scaling startups into market leaders, we foster innovation, collaboration, and diverse perspectives. Headquartered from US, Cynapse serves clients worldwide, redefining what's possible with video intelligence.

Job Description

We are seeking a talented and highly motivated Machine Learning Engineer to join our Model Engineering Team, focused on building, training, and improving computer vision models used in real-world systems. In this role, you will engineer models for improved accuracy, speed, and reliability, and work across experimentation, data, and production-facing ML pipelines.

You will collaborate with experienced engineers to translate research ideas and experiments into practical improvements that impact deployed systems.

You will also work with production-level machine learning systems, contributing to how models are evaluated, deployed, and monitored in real-world environments.

What You’ll Do:

Model Engineering & Training

• Assist in training, fine-tuning, and evaluating computer vision models for tasks such as classification, object detection, segmentation, pose estimation, and video understanding.
• Contribute to model engineering efforts, including modifying architectures, adjusting backbones or heads, and tuning training strategies to improve accuracy, stability, and inference speed.
• Experiment with training techniques such as data augmentation, loss functions, optimisation methods, and learning rate scheduling.
• Explore and evaluate modern vision models, including open-vocabulary or multimodal approaches where relevant.

Research & Experimentation

• Read, discuss, and apply insights from relevant research papers, technical blogs, and internal technical documentation.
• Prototype and evaluate new models, approaches, or techniques, comparing them against established baselines through structured experiments.
• Analyse experimental outcomes and document insights on performance trade-offs, limitations, and failure modes.

Evaluation & Failure Analysis

• Analyse model performance beyond headline metrics, including long-tail behaviour, edge cases, and real-world impact.
• Debug model failures such as false positives, false negatives, or unstable predictions.
• Improve robustness through targeted data improvements, inference logic, or model adjustments.

Data & Experimentation Infrastructure

• Work with large-scale datasets, including preprocessing, augmentation, validation, and quality checks.
• Follow established workflows for dataset versioning, experiment tracking, and reproducibility.
• Write clean, maintainable experiment code and configuration-driven training setups.

Production & MLOps Exposure

• Assist with model deployment and monitoring under the guidance of senior engineers.
• Work with training, evaluation, and inference pipelines used in production.
• Apply model lifecycle practices such as versioning, retraining, validation, and rollback.
• Consider performance and efficiency constraints, including latency, GPU memory usage, and inference cost.

Minimum Requirements

• At least a degree in Computer Science, AI, Machine Learning, or a related technical field, or equivalent practical experience.
• 1 – 2+ years of relevant hands-on experience with deep learning and computer vision through professional work, research, or substantial projects.
• Proficiency in Python.
• Experience with PyTorch and/or TensorFlow.
• Familiarity with Linux environments (CLI usage, basic shell commands).

Bonus Skills

• Exposure to multimodal or open-vocabulary models.
• Experience modifying models beyond configuration-level changes (e.g. layers, heads, loss functions).
• Familiarity with experiment tracking or MLOps tools (e.g. Git, Docker, MLflow, Weights & Biases).
• Experience with model optimisation or export (e.g. ONNX, TensorRT, quantization).
• Experience working with video data or tools such as OpenCV or FFmpeg.

Personal Competencies

• Strong interest in engineering and improving machine learning models, rather than treating them as black boxes.
• Curiosity about how architecture, data, and training strategies affect real-world performance.
• Comfortable experimenting, debugging, and iterating in a collaborative engineering environment.
• Ability to take ownership of model components appropriate to experience level and project needs.

Note: Due to the nature of the role, the position is considered only for candidates who are already based in Singapore.