Total 715 process development engineer job vacancies in Pasir Gudang

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. 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 complex AI applications, working with the partner’s own teams to transition from rapid prototypes to production-grade, replicable agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable return on investment (ROI).
• Build high-performance evaluation pipelines and observability frameworks to ensure partner developed agentic systems meet rigorous 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.
• Co-build with a strategic AI partner’s forward deployed engineering teams to instill Google-grade development best practices.
• 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.

Job Responsibilities :

This role leads the global product strategy and roadmap for Razer’s PC gaming mice, with a strong focus on driving innovation, product evolution, and market relevance. The successful candidate will translate deep gamer insights into clear product specifications, champion the user experience, and work cross-functionally to bring high-performance products to market. Ideal candidates are experienced product leaders with a passion for PC gaming—particularly FPS titles—a strong technical background, 8+ years of product management experience, and proven ability to drive results in a fast-paced, cross-functional environment.

• Serve as the strategic owner and subject matter expert for one of Razer’s PC Gaming peripherals categories, driving the global product roadmap and long-term category vision
• Lead the development of product strategies by leveraging deep market insights, competitive benchmarking, and evolving user needs to ensure sustained category growth and relevance
• Oversee the full product lifecycle — from ideation and feature evolution to phase-out planning — ensuring the portfolio remains competitive, innovative, and aligned with brand objectives
• Champion the voice of the gamer, translating user feedback and market trends into compelling product requirements, defining the Product Requirement Specifications (PRS) and end-to-end user experience for each product
• Act as the central product lead, collaborating closely with Engineering, Industrial Design, UX/UI, Marketing, and Quality teams to bring high-impact products to market on time and on budget
• Drive internal alignment and influence cross-functional stakeholders to deliver premium user experiences that reflect Razer’s brand and performance standards

Pre-Requisites :

• Passionate gamer with a deep understanding of PC gaming culture, especially within FPS or competitive genres — able to intuitively anticipate gamer needs and preferences
• Degree in Engineering, Product Design, or related technical discipline, with at least 8 years of experience in end-to-end product management
• Prior experience managing high-performance hardware or gaming peripherals (e.g., mice, keyboards, accessories) is a strong advantage
• A curious, data-informed mindset with the ability to translate complex technical concepts into user-centric solutions
• Strong business acumen and analytical thinking to prioritize features, assess trade-offs, and make sound, data-driven product decisions
• Proven ability to lead cross-functional teams across global stakeholders and drive alignment from concept through commercialization
• Excellent communication and presentation skills — able to influence across all levels, from engineering teams to senior leadership
• Comfortable in a fast-paced, dynamic environment, with the agility to adapt to changing priorities and evolving business needs

Company Overview

Our company specializes in precision manufacturing and modular assembly for global high-end industries. With additional operations in Malaysia and China, we deliver reliable and scalable solutions to international clients.

Our core expertise covers MedTech, Aerospace, and Semiconductor sectors. We provide end-to-end services ranging from structural components machining, sheet metal fabrication, to full-system integration and OEM/ODM solutions. Over the years, we have built strong partnerships with leading global clients, recognized for our commitment to consistent quality, on-time delivery, and cross-border collaboration.

Job Summary

Drive business growth by developing sheet metal and machining sales across Singapore and Southeast Asia. Lead client acquisition, market research, and strategic initiatives while ensuring operational excellence and fostering strong client relationships.

Responsibilities

• Develop and execute business development strategies to acquire new clients and achieve annual sales targets in sheet metal and machining sectors across Singapore and Southeast Asia
• Conduct comprehensive market research and analyze industry trends and competitor activities to inform strategic business decisions
• Maintain and deepen relationships with key clients through regular follow-ups and identification of potential new orders
• Prepare and manage client quotations, lead negotiations, and finalize contract agreements for sheet metal solutions
• Collaborate closely with production and quality teams to ensure timely delivery and adherence to quality standards
• Represent the company at Singapore industry exhibitions to promote company capabilities and expand market presence

Preferred competencies and qualifications

• Bachelor’s degree or higher in Mechanical Engineering, Marketing, Business, or related fields
• Over 3 years of proven business development experience in sheet metal or machining within Singapore manufacturing industries
• Proficient knowledge of sheet metal processes and familiarity with Singapore manufacturing standards
• Ability to communicate effectively in Mandarin to facilitate collaboration with Chinese-speaking stakeholders and colleagues in China
• Experience in Southeast Asian markets is advantageous
• Demonstrated skills in negotiation, communication, resilience under pressure, and independent business development capability

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-Engineer-for-AI-Singapore-%28AI-Talent-Development%29/33283-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF), Singapore, to build and anchor deep national capabilities in AI.  

AISG is supported through a government-wide partnership including the NRF, Ministry of Digital Development and Information (MDDI), Infocomm Media Development Authority (IMDA), Economic Development Board (EDB) and Enterprise Singapore (ESG). We bring together research institutions and the vibrant ecosystem of AI start-ups and companies to support impactful research, develop talent, and power Singapore's AI efforts.

AI Singapore (AISG) in partnership with the SAF AI Centre (SAIC), is seeking an experienced AI engineer to provide mentorship and consultancy to SAIC engineering teams, support real-world project selection for skills deepening, and enable professional certification readiness.

SAIC is a unit within the Digital and Intelligence Service, dedicated to addressing SAF's operational data science challenges and operationalising AI solutions. As the centre of excellence for AI, SAIC enhances the operational capabilities of SAF, driving productivity and efficiency through innovative AI solutions that advance SAF's defence capabilities.

Duties & Responsibilities

In this role, you will:

• Develop and deliver AI courses and programmes that raise AI fluency level for SAF workforce, including but not limited to playbooks for operational users and raising awareness of common AI use cases within SAF.
• Provide technical mentorship via sprints or personal mentorship; capture feedback on knowledge sharing and technical problem-solving impact.
• Identify real-world AI projects that build software engineering depth and machine learning pipeline skills of workforce for certification readiness. 
• Assist Senior AI Engineer to develop and maintain a job-skills-proficiency (JSP) map.
• Assist Senior AI Engineer to execute AI engineer certification programme.

Qualifications

• Degree in computer science, engineering, data science, or equivalent practical experience.
• Minimum 1 year in software engineering / ML engineering / applied AI and deploying models into production.

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-Engineer-for-AI-Singapore-%28AI-Talent-Development%29/33282-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF), Singapore, to build and anchor deep national capabilities in AI.  

AISG is supported through a government-wide partnership including the NRF, Ministry of Digital Development and Information (MDDI), Infocomm Media Development Authority (IMDA), Economic Development Board (EDB) and Enterprise Singapore (ESG). We bring together research institutions and the vibrant ecosystem of AI start-ups and companies to support impactful research, develop talent, and power Singapore's AI efforts.

AI Singapore (AISG) in partnership with the SAF AI Centre (SAIC), is seeking an experienced AI engineer to provide mentorship and consultancy to SAIC engineering teams, support real-world project selection for skills deepening, and enable professional certification readiness.

SAIC is a unit within the Digital and Intelligence Service, dedicated to addressing SAF's operational data science challenges and operationalising AI solutions. As the centre of excellence for AI, SAIC enhances the operational capabilities of SAF, driving productivity and efficiency through innovative AI solutions that advance SAF's defence capabilities.

Duties & Responsibilities

In this role, you will:

• Develop and deliver AI courses and programmes that raise AI fluency level for SAF workforce, including but not limited to playbooks for operational users and raising awareness of common AI use cases within SAF.
• Provide technical mentorship via sprints or personal mentorship; capture feedback on knowledge sharing and technical problem-solving impact.
• Identify real-world AI projects that build software engineering depth and machine learning pipeline skills of workforce for certification readiness. 
• Assist Senior AI Engineer to develop and maintain a job-skills-proficiency (JSP) map.
• Assist Senior AI Engineer to execute AI engineer certification programme.

Qualifications

• Degree in computer science, engineering, data science, or equivalent practical experience.
• Minimum 1 year in software engineering / ML engineering / applied AI and deploying models into production.

Job Summary

About the Role

The Institute of High Performance Computing (IHPC), A*STAR, is seeking a highly motivated Research Engineer to develop and deploy advanced AI systems that translate cutting-edge research into scalable real-world applications.

The successful candidate will work closely with research scientists to implement, optimize, and operationalize AI models across healthcare and biomedical domains. This role combines software engineering, machine learning, and systems engineering to bridge the gap between research and deployment.

Key Responsibilities

AI System Development

• Design, develop, and maintain machine learning and deep learning systems.
• Implement state-of-the-art AI algorithms from research prototypes into production-quality software.
• Build scalable data processing and model training pipelines.
• Develop multimodal AI systems integrating text, image, video, sensor, and structured data.
• Optimize model training, inference, and deployment workflows.

Research Translation

• Collaborate with AI researchers to translate novel algorithms into robust software solutions.
• Reproduce and benchmark research models.
• Develop reusable AI frameworks, libraries, and tools.
• Support experimentation, model evaluation, and performance optimization.

Software & Infrastructure Engineering

• Design scalable cloud and on-premise AI infrastructure.
• Develop APIs, backend services, and model-serving platforms.
• Implement automated testing, monitoring, and CI/CD pipelines.
• Support large-scale distributed training and inference systems.

Deployment & Integration

• Deploy AI solutions into healthcare, scientific, and enterprise environments.
• Integrate AI systems with operational workflows and external platforms.
• Develop monitoring tools for model performance and reliability.
• Support technology transfer and production deployment activities.

Requirements

Essential

• Bachelor's or Master's degree in Computer Science, Computer Engineering, Artificial Intelligence, Data Science, or related disciplines.
• Strong programming skills in Python.
• Experience with PyTorch, TensorFlow, or similar machine learning frameworks.
• Experience in software engineering best practices.
• Familiarity with Linux, Git, and software development workflows.
• Strong problem-solving and system design skills.

Preferred

• Experience with:Large Language ModelsMultimodal AIComputer VisionMLOps platformsCloud Computing (AWS, Azure, GCP)Containerization (Docker, Kubernetes)Distributed ComputingGPU Computing

What We Offer

• Opportunity to work on cutting-edge AI technologies with real-world impact.
• Access to world-class computational infrastructure and research facilities.
• Collaboration with leading researchers, clinicians, scientists, and industry partners.
• A dynamic environment supporting innovation, learning, and career growth.

Job Description:

 Designs, builds, and maintains applications specifically optimized for cloud environments, focusing on scalability, resilience, and automation

 Key responsibilities include creating microservices, containerizing applications (Docker, Kubernetes), and developing CI/CD pipelines

 Involvement in the entire software development life cycle including application development, implementation, testing, maintenance and documentation

 Review customer’s existing business workflows / system functionalities and provide recommendations for improvement

 Support architecture design during pre-sales and implementation phase

 Lead a small team of software engineers and mentor junior engineers

 Implement software best practices and be an advocate for the team

 Responsible for the installation, configuration and integration of COTS products with our software products

Technical Skill Sets:  Proficient in Container Technologies: Deep understanding of Docker and Kubernetes.

 Proficient in one or more back-end programming languages / frameworks such as GoLang or .NET/.NET Core

 Proficient with JavaScript and one or more front-end frameworks such as React

 Proficient in Git

 Proficient in Building applications directly on kubernetes platforms utilizing managed services.

 Proficient in Monitoring & Optimization: Ensuring service reliability, security, and cost-efficiency through logging, monitoring (e.g., Prometheus), and performance tuning

 Experience with DevOps CI/CD and testing tools (eg. Github Actions, ArgoCD)

 Good understanding of Agile/Waterfall software delivery methodology

 Able to work independently and as a team

COMPANY DESCRIPTION

Mediacorp is Singapore's largest content creator and national media network, operating a suite of TV channels, radio stations, and multiple digital platforms. Its mission is to engage, entertain, and enrich audiences by harnessing the power of creativity.

We are committed to creating an inclusive and diverse workplace where talent thrives. Our hiring decisions are made based on merit and fit-to-role. If you have a disability or special need which requires accommodation to participate in the recruitment process, please inform us when you submit your online application. We will be happy to support as necessary.

Thank you for your interest and application to this role. Please note that only short-listed candidates will be contacted.

RESPONSIBILITIES

The position requires engineer to carry out tasks related to the support of broadcast and broadcast IT related equipment and systems, including activities such as manning of support hotline, system diagnosis, remediation and monitoring, system administration, patching and preventive maintenance. In addition, the position is required also to support the planning and implementation of broadcast IT system projects.

• Provide technical support to broadcast equipment and systems in News Studios & News Post Production and asset management system, Outside Broadcast production van, News Room Computer System and etc.
• Document, communicate, collaborate, and handle fault incidents
• Assess system vulnerabilities and provide guidance, remediate and mitigate any reliability and security risks
• Perform troubleshooting and repair of broadcast equipment and system.
• Perform preventive and corrective maintenance broadcast and IT equipment.
• Work with different business units to provide technical solutions to enhance existing operation and setup
• Evaluate and recommend new broadcast IT equipment and system.
• Support project implementation of broadcast IT system and infrastructures including the support in drafting of technical specifications and costings documentations.
• Perform shift and standby duty to support broadcast system and infrastructures.

• Degree in Information Technology, Information Systems, IT Security or equivalent. CCNA, Certification in Information Technology networking field is an advantage.
• Candidate without the required academic qualifications but with at least 3 years of relevant experience in IT, Broadcast or Media Production related field are welcome to apply.
• Microsoft certifications such as MCSA preferred
• Project management experience preferred.
• Basic understanding of cloud / enterprise system architecture
• Network troubleshooting skills of IT devices maintenance and experience with management and configuration of networking devices (switches, routers, firewalls) will be preferred.
• Perform shift and standby duty to support broadcast system and infrastructures.

Key Responsibilities:

• Responsible for the architecture design, RTL encoding (Verilog/SystemVerilog), and functional verification of digital control logic in 3D-NAND memory;
• Design a state machine (FSM) to manage complex NAND operation processes (such as Program, Read, Erase, Copy-back, Suspend/Resume, etc.);
• Develop a command decoder and address/parameter parsing logic to ensure compliance with JEDEC and internal specifications;
• Implement high-precision timing control logic to accurately generate the internal timing signals required for various operations (such as tR, tPROG, tBERS, etc.);
• Deeply involved in the physical layer and link layer logic implementation of ONFI (Open NAND Flash Interface) or Toggle Mode interface protocols, supporting DDR, NV-DDR, NV-LPDDR, and other modes;
• Collaborate with the analog/mixed-signal team to define array access timing, voltage switching windows, and read/write path control interfaces;
• Collaborate with firmware (FW) and system architecture teams to develop register maps, interrupt mechanisms, error handling strategies, and debug interfaces;
• Support UVM verification environment setup, provide Design for Testability (DFT) support, and participate in FPGA prototyping;
• Participate in chip bring-up, post-silicon debugging, and performance optimization to ensure products meet specification requirements.

Required Qualifications:

1. Education: Master's degree or above
2. Major: Microelectronics and Integrated Circuits, Electrical Engineering, Computer Engineering, or related fields;
3. Other Requirements:

• Minimum 5 years digital IC design experience, experience in NAND Flash or SSD controller projects is a plus;
• In-depth understanding of ONFI 4.x or Toggle 2.0/3.0 protocol specifications, with practical interface IP development or integration experience;
• Experience in control logic design under 3D-NAND or TLC/QLC architectures is a plus;
• Familiar with ECC control interfaces (such as LDPC/BCH engine scheduling and interaction);
• Excellent cross-functional collaboration skills, able to communicate efficiently with simulation, firmware, verification, testing, and product teams to jointly develop technical solutions.
• Experience with successfully tape-out and mass-produced memory chip projects is a plus.

Job Summary

Job Purpose

The Knowledge Engineer will be responsible for designing, constructing, and maintaining knowledge graphs derived from heterogeneous enterprise documents. The role involves leveraging Large Language Models (LLMs) for knowledge extraction, ontology-driven structuring, and question answering over knowledge graphs to support intelligent search, reasoning, and decision-making systems.

Key Responsibilities

• Leverage LLMs to extract structured knowledge (entities, relations, attributes) from unstructured and semi-structured documents such as:Maintenance manualsProduct design documentsTroubleshooting guidesLessons learned reports
• Process documents in multiple formats, including Word, PDF, PowerPoint, and Excel.
• Design, construct, and maintain knowledge graphs, including:Schema and ontology designEntity and relationship modellingData normalisation and validation
• Implement and manage knowledge graph storage using graph databases such as Neo4j and GraphDB.
• Develop LLM-powered question answering and interaction pipelines over knowledge graphs, enabling:Natural language queriesContext-aware and explainable responses grounded in structured knowledge
• Collaborate with domain experts and stakeholders to refine ontologies, extraction logic, and use cases.

Required Skills & Experience

• Strong understanding of ontology design, knowledge graph modeling, and semantic data representation.
• Proficiency in Python, with experience building data processing and NLP pipelines.
• Solid understanding of prompt engineering and LLM-based workflows.
• Hands-on experience working with LLMs, including both:Closed-source models (e.g., GPT-based APIs)Open-source models (e.g., LLaMA, Qwen, etc.)
• Experience with graph databases, particularly Neo4j and/or GraphDB.

Preferred / Advantageous Skills

• Experience in information extraction, document understanding, or NLP pipelines.
• Familiarity with RDF, OWL, SPARQL, or Cypher is a plus.
• Experience integrating LLMs with structured knowledge sources (e.g., KG-augmented QA, RAG with graphs).

Key Competencies & Attributes

• Strong analytical and problem-solving skills, with the ability to translate unstructured information into well-defined data models.
• Ability to work independently while collaborating effectively within a multidisciplinary team.
• Good communication skills to engage with technical and non-technical stakeholders.
• Demonstrated willingness to continuously learn and keep up with advances in LLMs, NLP, and knowledge engineering.

Job Summary

The Institute of High Performance Computing (IHPC), A*STAR, was established in April 1998 to provide leadership in high performance computing as a strategic resource for scientific inquiry and industry development. Our mission is to advance science and technology, and develop leading-edge applications through high performance computing and computational science. We have long-term ties with industry partners, including multinational companies and local SMEs, which ensures that our R&D activities stay focused and relevant to real-world needs. We also have active cooperation with the world’s top academics and academic institutions.

We are looking for a motivated and versatile individual to join the Healthcare team. The role will support the development, adoption, and continuous improvement of reusable AI assets and platforms through ecosystem engagement, platform operations, product thinking and practical UI/UX capability.

Research Engineer (Reusable Healthcare AI Assets)

The successful candidate will work closely with researchers, engineers, product owners, healthcare and public-sector stakeholders, and industry partners to identify user needs, translate them into actionable platform requirements, and drive the adoption of reusable AI assets. The role is suitable for someone who can engage stakeholders effectively, structure feedback into product and operational priorities, and contribute to simple, intuitive user journeys, wireframes, prototypes, dashboards, and documentation for AI platforms.

Requirements

• Experience in at least one of the following areas: AI/ML platform delivery, product or platform operations, technical project management, ecosystem or stakeholder engagement, developer relations, digital transformation, UI/UX design, or technology adoption.
• Working understanding of AI/ML systems, data-driven applications, software platforms, APIs, cloud environments, MLOps, or reusable software/assets. Deep research specialisation is not required, but the candidate must be comfortable working with technical teams.
• Ability to translate between domain needs, user pain points, operational constraints, and technical implementation requirements.
• Practical exposure to user research, journey mapping, wireframing, prototyping, usability testing, information architecture, or interface review.
• Strong written and verbal communication skills, with the ability to explain technical capabilities and trade-offs to both technical and non-technical audiences.
• Good planning, coordination, and stakeholder management skills, with the ability to manage multiple workstreams independently in a fast-moving environment.

Preferred qualifications (one or more of the following)

• Experience in healthcare, biomedical, public-sector, or regulated digital systems.
• Hands-on experience with UI/UX or prototyping tools such as Figma, Miro, FigJam, Balsamiq, or equivalent.
• Ability to build lightweight prototypes, demos, or dashboards using tools such as React, JavaScript/TypeScript, HTML/CSS, Streamlit, Gradio, Dash, Tableau, Power BI, or similar.
• Experience managing reusable asset catalogues, platform onboarding journeys, technical documentation portals, design systems, knowledge bases, or developer-facing resources.
• Familiarity with agile delivery and collaboration tools such as Jira, Confluence, Git, GitHub/GitLab, or equivalent.
• Awareness of responsible AI, model evaluation, AI safety, data privacy, cybersecurity, and governance considerations for AI systems.

Interested applicants should submit their curriculum vitae, together with a short cover note describing relevant experience in ecosystem engagement, platform operations, AI/ML systems, and UI/UX or product-related work. The level of appointment will be commensurate with experience.

For applicants, please send your curriculum vitae to Dr Ricardo Shirota Filho (ricardo_shirota_filho@a-star.edu.sg)

Job description

Work directly with the technical director to develop electrical and electronic systems for inspection tools and other products

Design, build and test electrical, electronics, sensors and other systems for performance

Analyse designs and prototypes, to account for tolerance, precision, to meet specification requirements.

Work with other team members to integrate electronic designs onto practical systems with optical and mechanical systems.

Requirements

Master’s/PhD in electronic engineering or related disciplines with relevant experience in programming, EDA, FPGA, etc.

Ability to use commercial softwares to design and optimise electronic systems, ensuring that designs work according to specifications

Strong fundamental knowledge in electronics and relevant technologies such as optical sensors. Knowledge in other relevant disciplines such as physics, chemistry, material science etc. is a plus.

Capable and willing to design, build and test complex electronic setups from proof of concept to implementation on products.

Must have experience in setting up, troubleshooting and optimising electronic systems.

Must be an exceptional team player, willing to go the extra mile for high performing teams.

Must have adaptability to solve difficult problems with like minded team members.

At least 2 years of relevant working experience

Job description

Work directly with the technical director to develop efficient algorithms for machines

Design, build and test computing systems for speed and performance

Derive computation methods with portable code for integration on complex systems, taking into consideration hardware used

Work with other team members to integrate computing systems onto practical systems with optical and mechanical systems.

Requirements

Degree/Master’s/PhD in computer science or related disciplines with relevant experience in programming, EDA, FPGA, etc.

Ability to code in C. Hardware optimisation for computations is a plus.

Ability to understand equations and solution methods to implement on complex systems

Understand how to apply AI and machine learning algorithms to practical problems

Must be an exceptional team player, willing to go the extra mile for high performing teams.

Must have adaptability to solve difficult problems with like minded team members.

Fresh graduates welcome.

My client:

My client is a well-established technology company building large-scale, consumer-facing digital platforms used by millions of users globally. The team is highly engineering-driven, with strong emphasis on system reliability, automation, and operational excellence. This role offers the opportunity to work on production-critical systems, collaborate closely with backend and platform engineers, and take real ownership of reliability and infrastructure in a fast-moving, high-impact environment.

Job Responsibilities:

• Ensure high availability and reliability of production systems supporting large-scale online services.
• Own core operational functions including resource management, incident response, capacity planning, monitoring, and reliability improvements.
• Review system and infrastructure designs, proactively identifying potential reliability and scalability risks.
• Analyze system bottlenecks and structural weaknesses, and lead optimization initiatives to improve stability and cost efficiency.
• Participate in 24/7 on-call rotations, responding quickly to production incidents and driving root cause analysis.
• Continuously improve operational processes through automation, reducing manual intervention and operational overhead.

Job Requirements:

• Bachelor’s degree in Computer Science or a related technical field.
• Proficiency in Python, Go, or Shell scripting, with the ability to independently build tools or platforms.
• Solid experience with cloud infrastructure; exposure to multi-cloud or hybrid environments is a plus.
• Strong fundamentals in Linux systems, networking, load balancing, and high-availability / disaster recovery design.
• Hands-on experience operating or supporting large-scale web services in production environments.
• Self-motivated, responsible, and comfortable working in a fast-paced, reliability-critical environment.

What They Offer

• A large-scale, production-grade technical environment supporting high-traffic, consumer-facing platforms.
• A stable yet fast-evolving engineering environment with long-term technical depth and learning potential.
• Close collaboration with experienced engineers in a flat, open, and execution-focused team culture.

About Us

Dada Consultants was established in 2017, with the commitment of providing the best recruitment services in Singapore. We are comprised of a dynamic head-hunting team dedicated to sourcing for highly competent professionals in IT industry. We provide enterprises with customized talent solutions, and bring talents to career advancement.

If it sounds like your next move, please don’t hesitate to apply. Kindly note that only shortlisted candidates will be contacted. Appreciate your understanding. Data provided is for recruitment purposes only.

www.dadaconsultants.com

EA Registration Number: R2197058

Business Registration Number: 201735941W. Licence Number: 18S9037

We are seeking an experienced Lead Engineer-Water Solutions / Testing & Commissioning to lead the testing, pre-commissioning, commissioning, and start-up of Ultra Pure Water (UPW) systems for high purity applications in semiconductor and advanced manufacturing environments.

Key Responsibilities:

• Develop and execute commissioning procedures, test plans, and protocols for UPW systems

• Perform pre-commissioning activities (flushing, hydrotesting, leak testing, chemical cleaning)

• Conduct functional testing for systems including RO, EDI, ion exchange, UV, degasification, and ultrafiltration

• Validate system performance against design specifications and client requirements

• Troubleshoot issues and support system start-up and handover

• Prepare commissioning documentation and reports

Requirements:

• Degree in Chemical, Mechanical, or Environmental Engineering

• At least 10 to 15 years of experience in UPW systems or advanced water treatment

• Hands-on commissioning experience for large-scale UPW plants

• Strong knowledge of RO, EDI, mixed bed, and polishing loop systems

• Familiar with SEMI standards and high-purity system design

Preferred Skills:

• Experience in semiconductor fab utilities (UPW, WWT, reclaim)

• Knowledge of water quality parameters (TOC, resistivity, conductivity, silica)

• Familiarity with PLC/SCADA systems

• Ability to read P&IDs and engineering drawings