Total 485 Engineering job vacancies in George Town

Job Description & Requirements for Project Manager Electrical
We are an Electrical & Instrumentation Contractor specialising in Design, Supply, Installation, Testing and Commissioning works in Oil & Gas Plants, Pharmaceutical Plants,Wafer Fab, Commercial and Industrial Projects.

As an SME company with over 25 years of experience, we offer strong development opportunities and excellent potential for outstanding career growth.
Our team includes a group of homegrown Licensed Electrical Workers of various grades who provide guidance, mentorship, and technical support to help you succeed.

Job Description
Must be a passionate and energetic leader with the ability to guide, motivate, and manage the team effectively.
Possess a strong understanding of cost control, variations, and change management.
Capable of managing both in-house and subcontractor workforce on site, ensuring timely completion of works in a safe and quality manner.
Able to liaise and manage clients effectively with regard to business matters, safety, cost control, and timely execution of construction activities.
Proactive in identifying potential issues and resolving them before they escalate.

Job Requirements
A minimum of a Diploma in Electrical Engineering or an equivalent recognised qualification is required.
Well-versed both technically and practically in electrical installations and basic design in accordance with Singapore Standards.
You should adapt with RNC’s ISO systems (Quality, Safety & Environmental) and be innovative to suggest improvisation in the system.

Knowledgeable in Lighting, Small power, Earthing, Lightning Protection and ELV systems.
Good Organisation skills, planning and Prioritizing works
Possess a proactive “go-getter” mindset with strong communication skills.
Accountable and responsible for the actions and performance of the site team.Responsible for actions of the Team on site
Minimum 3 years of experience as a Project Manager.
Proficient in MS Office applications, particularly Excel and PowerPoint.
Strong writing, communication, and interpersonal skills.
Experience working in a “live” process plant environment is an added advantage.
Knowledge of instrumentation works will be an added advantage.
Possession of a Class 3 driving licence will be an added advantage.

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/Visiting-Research-Fellow-%28National-Centre-for-Engineering-Biology%29/32344-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a talented Visiting Research Fellow to join the National Centre for Engineering Biology, Singapore (NCEB), at the National University of Singapore. NCEB aims to advance engineering biology by developing microbial cells that enable biomanufacturing.

The Visiting Research Fellow (RF) will work closely with the Principal Investigator and research team to develop robust microbial cell platforms for biomanufacturing. The RF will design and implement strain engineering strategies, optimise metabolic pathways and cultivation conditions, and generate high-quality experimental data.

Key Responsibilities: 
1. Design, build, and characterise engineered microbial strains for production of target molecules (e.g., enzymes, chemicals, or biomaterials).
2. Develop and optimise genetic constructs and genome engineering workflows (e.g., CRISPR, recombineering, plasmid design, promoter/RBS tuning).
3. Perform metabolic pathway design and optimisation using rational design and/or high-throughput approaches; analyse data to identify bottlenecks and improvement opportunities.
4. Develop and apply analytical assays (e.g., HPLC/GC, LC-MS, plate-based assays) to quantify key metabolites.
5. Document and communicate results through lab records, reports, and presentations; contribute to manuscripts, protocols, and (where applicable) invention disclosures.

Remuneration will be commensurate with the candidate's qualifications and experience. Informal enquiries are welcome and should be made to: Ms Suhana Sulaiman, at suhana_s@nus.edu.sg 

Formal application: Please submit your application, indicating job reference number and current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of 3 referees). Only shortlisted candidates will be notified.

Qualifications

The ideal candidate will:
1. Hold a PhD in Synthetic Biology, Microbiology, Biotechnology, Bioengineering, Chemical Engineering, or a related field.
2. Demonstrated experience in microbial strain engineering and molecular biology (e.g., cloning, genome editing, strain construction and verification).
3. Strong experimental design and data analysis skills, with the ability to interpret results and troubleshoot across the build-test-learn cycle.

Highly desirable:
1. Hands-on experience with fermentation/bioreactors and bioprocess development (media optimisation, feeding strategies, scale-down models).
2. Experience with omics/automation tools (e.g., RNA-seq, proteomics, metabolomics, high-throughput screening).

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 ML Research Engineer to join our AI Product group. The ideal candidate is passionate about AI and has a strong foundation in machine learning, deep learning, and large language or vision-language models.

This role offers an exciting opportunity to learn from experienced researchers, contribute to cutting-edge AI research, and help drive innovation in our enterprise grade video intelligence solutions. 

Responsibilities

• Implement solutions using advanced large language models (LLMs) or vision language models (VLMs) to address real-world challenges.
• Design and develop agentic AI systems using structured, multi-step workflows to solve complex tasks autonomously.
• Conduct rigorous experiments to validate models and tasks, including data preparation, ensuring reliability and performance.
• Develop prototypes and proof-of-concept systems to validate innovative ideas.
• Collaborate with cross-functional teams (product, engineering, and business) to translate research into production-ready solutions.
• Deliver research projects on time with a strong focus on practical, measurable business impact.

Minimum Qualifications

• Bachelor’s degree or higher in Computer Science/Engineering, Mathematics, or a related field.
• Strong foundation in deep learning fundamentals, including optimization methods, loss functions, model architectures, and training dynamics.
• Hands-on experience with transformer-based models in either computer vision or NLP domains.
• Familiarity with the latest research trends and developments in AI.
• Solid programming skills, with a strong grasp of data structures and algorithms.
• Strong analytical and problem-solving skills, a solid foundation in logical reasoning, and effective communication and teamwork.

Preferred Qualifications

• Master’s degree or higher; a PhD is a strong plus.
• High-impact publications in top-tier AI conferences or journals (e.g., ICML, NeurIPS, ICLR, TPAMI, CVPR, ICCV, ECCV, ACL, EMNLP, ICRA).
• Knowledgeable in transfer learning strategies, including fine-tuning and distillation of foundation models for downstream applications
• Exposure to any other machine learning domains such as reinforcement learning, edge AI, speech recognition, diffusion models, robotics learning, recommender systems, time-series forecasting or related areas

Personal Competencies

• Innovative, motivated, and a quick learner with a passion for solving complex technical challenges.
• Strong communication and teamwork skills, with the ability to work effectively in small, agile teams.
• A high degree of ownership and attention to detail, with a commitment to delivering robust and high-quality software solutions.
• Adaptable and open to learning new technologies and processes

Benefits

• Competitive base salary and a generous stock option package
• Unique opportunity to work with a talented global team on cutting edge technologies
• Exciting work environment with flexible hours

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

Job Type: Full-time

Benefits:

• Health insurance

About the team

We are a self-organised and cross-functional team that:

• Builds experiences around users
• Values clean and maintainable code, and
• Tests and ships often

About the role

We are looking for someone who:

• Is dependable and thoughtful
• Has a demonstrated ability to build software
• Is able to collaborate with others well
• Is a self-starter and will own features from design to post-deployment
• Is open to learning new frameworks and technologies
• Cares about clean and maintainable code

Requirements

At least 5 years of experience in designing anddeveloping reliable software, specifically the following:

• Designing and developing RESTful APIs
• Writing unit and integration tests
• Implementing authentication, authorisation, and security best practices
• Working with SQL and NoSQL databases
• Working with CI/CD pipelines
• Proficient with Node.js backend frameworks (e.g. Express, NestJS, Fastify, or similar)

Bonus

It would be great if you also have experience with:

• IoT system development, cloud integration, and security
• OCPI and OCPP protocols
• Cloud platforms like AWS / GCP / Azure

Product area

The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

Job description

There's no such thing as a "safe system" - only safer systems. Our Security team works to create and maintain the safest operating environment for Google's users and developers. As a Security Engineer, you help protect network boundaries, keep computer systems and network devices hardened against attacks and provide security services to protect highly sensitive data like passwords and customer information. Security Engineers work directly with network equipment and actively monitor our systems for attacks and intrusions. You also work with software engineers to proactively identify and fix security flaws and vulnerabilities.

You use your industry experience to own and drive the resolution of complex security incidents, policy questions and technical security issues.

Additional job description

As a Staff Security Engineer for Enterprise Security AI, you will serve as a foundational technical leader driving critical enterprise security initiatives. In this role, you will scale our operations by managing complex projects encompassing security consulting, risk management, vulnerability response, and remediation. Your primary focus will be building security capabilities to secure Alphabet’s rapidly expanding use of agentic AI workflows. This involves designing novel prevention and containment strategies and partnering with engineering teams to create paths for secure AI development.

You will guide strategic direction and foster collaboration across enterprise security domains. You will need a background in security engineering and the cross-functional influence necessary to solve ambiguous, large-scale problems. Leveraging expertise in threat modeling, security assessments, access controls, and data protection, you will architect preventative guardrails and mitigate new risks introduced by first and third-party AI agents.

Qualifications

Job responsibilities

• Contribute to the development of paths for AI use within Alphabet by validating existing advice and guidelines, identifying gaps, and proposing improvements in collaboration with security engineering partners.
• Propose and validate prevention capabilities to significantly reduce the risk of first-party and third-party agentic AI use, such as ensuring policy adherence and preventing execution of risky actions, by working with security risk leads responsible for reducing Google’s top cybersecurity risks.
• Drive decisive containment and remediation when high-risk or unauthorized agentic AI use is identified, including suspending rogue agents and executing ongoing remediation tasks.
• Partner with adjacent enterprise security teams, such as detection and response, identity, access, and endpoints, to ensure cohesive strategies for reducing risk from agentic AI use.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of coding experience in one or more general purpose languages (e.g., Python, C, C++, Java, Go).
• 8 years of experience with security engineering, computer and network security and security protocols.
• 5 years of experience with security leading teams in a technical capacity or leading technical risk analysis in an enterprise environment.

Preferred qualifications

• Experience in building, deploying and reviewing automation for complex security workflows, including use of both AI-driven and traditional automation tools.
• Understanding of offensive security techniques and threats, designing and building security features to address these threats and managing large-scale enterprise security controls rollouts.
• Ability to partner with global stakeholders to align technical strategies and security initiatives with broader organizational objectives.