Total 433 systems engineer job vacancies in George Town

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-%28IC-Designer%29/33449-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Engineer for the (SHINE) Centre 2.0 co-led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to work on:

•    physical, thermal and circuit-to-system modeling, design exploration, architecture and validation/testing framework
•    chip and substrate model iterative fine-tuning (e.g., thermals, parasitics), early raw dataset creation from circuit/system simulations, final raw dataset creation from iterative measurements, prototype circuit design, system assembly and testing
•    data gathering and preparation, AI model architecture evaluation, training/inference implementation and integration with chip architecture
•    end-to-end system modeling, exploration, architectures and system integration
•    analog frontend circuit and sensor modeling, exploration, verification and testing
•    authoring high-quality research papers for leading conferences and journals and presenting findings at international conferences.
•    managing technical milestones for the project

The appointment can commence immediately with a 1-year contract, with prospect of extension. Salary will be commensurate with qualifications and experience.

Qualifications

The candidate must possess:
•    a Masters/Bachelor degree in either Electrical Engineering or strictly related (e.g., Computer, Electronics, Communication, or Information Engineering).
•    Knowledge on circuit architectures, transistor-level design.
•    Knowledge on silicon chip design, EDA tools.
•    Ability to work independently and collaboratively in a team environment.
•    Good communication and interpersonal skills.
•    Open to fixed term contract.

About Wingfin

Wingfin develops autonomous driving systems. Our mission is rooted in accessibility: human-like autonomy for safe, cost-efficient, real-world scalability. By leveraging cutting-edge deep learning and end-to-end neural networks, Wingfin is redefining the landscape of self-driving technology. We are building a practical, cost-efficient platform that brings safe autonomy to every vehicle on the road. Headquartered in Singapore, the company boasts an international team of multi-talented experts. We are looking for talented and motivated individuals to join our team either in Singapore or Malaysia.

The Role

This is a full-time, on-site role located in either Singapore or Kuala Lumpur for a Machine Learning Engineer (Autonomy). At Wingfin, our deep learning models provide the foundation for safe, reliable driving. However, the real world is full of "long tail" events—unstructured construction zones, complex hand signals from a traffic officer, or unique local maneuvers. While the vast majority of driving events are handled autonomously by our models with a high degree of safety and precision, remote takeover provides additional support to the models to handle extremely complex situations.

As a Machine Learning Engineer (Autonomy), you will focus on the "intelligence gap" during takeover. When a human enters the loop, they need to gain situational awareness in a fraction of a second. You will develop distilled world models—efficient, high-level representations of the vehicle’s environment—that provide predictive guidance to remote operators. These models will highlight intent, predict trajectories, and surface the most critical information, enabling humans to make complex decisions at superhuman speed.

Key Responsibilities

You will be working on the following:

1. Build and maintain models to enable remote operators to make complex decisions at superhuman speed.
2. Collaborate with remote operators and control engineers to improve the collaboration experience.

About You

You will require the following skills to be successful in this role.

Essential

1. 5+ years of experience in ML development.
2. Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field.
3. Strong experience in python programming language.
4. Strong experience in working with machine learning frameworks such as Pytorch, Tensorflow and Keras.
5. Excellent communication skills

Desirable

1. Experience working with automotive or robotic systems.
2. Experience developing UI for safety critical applications.

As a IT Support Engineer(End user), you will be responsible for providing technical assistance and support to end-users and ensuring the smooth operation of IT systems and services.

You will diagnose and resolve technical issues, escalate problems as necessary, and provide timely responses to user inquiries. Additionally, you will contribute to the development and maintenance of support documentation and assist in the implementation of IT projects.

Job Responsibilities:

• Provide technical support to employees for hardware, software, and application-related issues.
• Troubleshoot Windows OS,Microsoft Outlook, Office 365 applications, and general IT problems.
• Install, configure, and maintain organization-approved software and applications on desktops, laptops, and mobile devices.
• Assist users with device setup, configuration, and data migration when replacing or upgrading computers.
• Ensure endpoint security solutions (e.g., encryption, antivirus) are active and compliant.
• Manage Windows Active Directory for user accounts (e.g., account creation, password resets, access management).
• Set up and configure Office 365 email accounts for new employees.
• Support and troubleshoot smartphones,tablets (Android & iOS) for corporate email and application access.
• Perform basic hardware troubleshooting for desktops, laptops, and peripherals (printers, scanners, monitors).
• Coordinate with vendors for hardware repairs, warranty claims, and replacements.
• Assist in setting up meeting room IT equipment, video conferencing tools, and collaboration platforms.
• Maintain documentation for common IT issues, troubleshooting steps, and user guides.
• Educate employees on best practices for IT security, email usage, and software tools.
• Assist in preparing training materials or conducting brief IT training sessions when needed.
• Work closely with the service deskteam for ticket resolution and escalation.
• Maintain accurate records of IT support activities, issue resolutions, and asset inventory.
• Ensure timely submission of support reports, work logs, and attendance records.
• Attend weekly team meetings for updates and knowledge sharing.

*For Singapore Applicants Only: PC Partner Technology Pte Limited will be prioritising applicants who have a current right to work in Singapore, and do not require PC Partner Technology Pte Limited's sponsorship of a visa.

Position Summary

We are looking for a Test Engineer - Software (AI) who will be responsible for ensuring the quality, reliability and performance of AI-driven software systems through structured test planning, execution and automation. This role works closely with cross-functional teams to validate AI system designs, identify issues early, improve testing efficiency and ensure AI-driven solutions meet project goals through effective technical execution and communication.

Key Responsibilities

Test Design & Coverage

• Design and maintain effective test plans and test cases based on product requirements and system architecture

• Identify critical test scenarios, edge cases and failure modes across functional, integration and performance layers

• Contribute to risk-based testing strategies to ensure optimal test coverage

White-box & Developer Collaboration

• Work closely with developers to understand code design and contribute to unit and white-box testing

• Support developers in improving testability, code coverage and test design

• Review code and test implementations to ensure quality and maintainability

Test Execution & Quality Assurance

• Execute end-to-end testing across APIs, application workflows and embedded systems

• Validate system performance, stability and reliability under different usage scenarios

• Investigate, reproduce and track defects; partner with engineers to drive timely resolution

AI driven Software Solution Validation

• Design test inputs, prompts and datasets to evaluate AI system behaviour.

• Validate the outputs for accuracy, consistency and robustness using defined evaluation criteria.

• Perform regression and scenario-based testing to ensure stable model performance across releases.

Test Automation & Tooling

• Develop and maintain automated test suites for regression and feature validation.

• Contribute to automation frameworks and integrate tests into CI/CD pipelines for continuous validation.

• Build tools or scripts to improve testing efficiency, repeatability and coverage.

Collaboration & Engineering Practices

• Work closely with software and AI engineers to understand system design and provide early quality feedback.

• Contribute to improving test frameworks, coding standards and engineering best practices.

• Produce clear test reports, metrics and insights to support release decisions.
  

Requirements

• Min. Degree in Computer Engineering, Computer Science or a related software engineering field.

• Min. of 2 years of relevant experience in a similar role, with proven hands-on experience in planning, designing and conducting software testing on AI related products.

• Strong understanding of unit testing, white-box testing and code-level validation.

• Proficiency in programming (e.g, Python) with experience writing testable and maintainable code.

• Hands-on experience with test automation frameworks (e.g, Pytest, Selenium or similar).

• Experience testing APIs and backend systems.

• Familiarity with CI/CD pipelines and version control (e.g, Git).

• Basic understanding of AI/ML systems or strong interest in AI testing.

• Strong debugging, analytical thinking and attention to detail.

• Excellent written and spoken English communication skills, fluency in Chinese is a plus for effective interaction with Chinese-speaking stakeholders.

• Candidates must meet legal requirements to work in Singapore without sponsorship.

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

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

The Content Safety organization in Core provides safety solutions that protect Google’s users from exposure to offensive, sensitive or harmful content. The team unblock and accelerate Google's product launches by providing quality implementations of company-wide standards for Responsible AI. The team combines subject matter expertise in the content safety domain and a practice of machine learning and AI-based techniques with the production-grade experience in serving infrastructure and product integrations to protect users from harm, maintain Google’s engagement in the area of online safety across the industry, and make foundational models and the internet safer for society.

Qualifications

Job responsibilities

• Design, build, maintain and scale content safety platforms to safeguard business-critical products for Google.
• Deliver quality and future-proof content safety self-service solutions that combine content safety protection with production-grade infrastructure.
• Enable safety teams to protect users from exposures to offensive, sensitive or harmful content, and unlock new opportunities for the business.
• Collaborate with peers and stakeholders through design and code reviews to ensure best practices among available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Identify opportunities to mitigate internal signal developer issues, working with the community to prioritize and launch improvements.

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 in testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential selection making), Machine Learning (ML) infrastructure, or specialization in a related ML field.
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).

Preferred qualifications

• Experience in Responsible AI or safety-adjacent fields, such as factuality, or product policy.
• Experience in content safety applied to software products.
• Experience in scaling pipelines, deploying systems, and designing defensive architecture to meet Service Level Objectives (SLOs).

Responsibilities

- Design, write, and execute test cases for performance, load, stress, scalability, and reliability testing

- Execute manual or automation testing to ensure systems meet non-functional requirements and standards

- Analyse testing results and provide detailed reports on system's performance and reliability

Requirements

- Bachelor's degree in Computer Science or other related courses

- 2 to 5 years of relevant working experience as a non functional software tester

- Experience in either Unix or Linux platform is required

- Experience in peformance/stress/load testing

- Knowledge in financial markets products such as indices, equities, commodities, FX and fixed income will be an added advantage

About Cynapse 

Cynapse is a leading Agentic AI software company specializing in enterprise-grade Video Intelligence Solutions Powered by Agentic 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. 

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 looking for a Junior to Mid-Level Machine Learning Engineer to join our Model Engineering Team. This role is intended for engineers who view models as systems to be understood, developed, and improved rather than simply consumed as black-box components.

You will contribute across the full model lifecycle, from dataset preparation and architecture development to training, evaluation, and optimisation. Working closely with experienced engineers, you will improve model performance through experimentation, data-centric approaches, and systematic analysis, helping to build robust and efficient computer vision systems for real-world applications.

What You’ll Do: 

• Train, fine-tune, and evaluate computer vision models for tasks such as classification, object detection, segmentation, pose estimation, and action recognition.
• Contribute to model development through architecture enhancements, custom heads, loss functions, and training strategy optimisation.
• Design and execute experiments to evaluate model improvements and performance trade-offs.
• Prototype, benchmark, and assess new architectures, techniques, and approaches against established baselines.
• Investigate edge cases and performance limitations, and improve model accuracy, robustness, and efficiency.
• Consider practical constraints such as latency, throughput, resource efficiency, and hardware-specific optimisation.
• Collaborate with engineering teams to improve dataset quality, model performance, and system reliability.

Requirements 

• Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field.
• At least 2 years of hands-on experience training, fine-tuning, and evaluating computer vision models through academic, project, internship, or professional work.
• Hands-on experience with PyTorch and/or TensorFlow.
• Proficiency in Python and familiarity with Linux environments and command-line tools.

Bonus Skills 

• Experience modifying models beyond high-level APIs (e.g. custom heads, backbone modifications, loss functions, or training pipelines).
• Exposure to multimodal, vision-language, foundation, or open-vocabulary models.
• Experience with optimisation techniques such as quantisation, pruning, distillation.
• Familiarity with experiment tracking, reproducibility, or MLOps practices.

Personal Competencies 

• Strong interest in understanding how model architectures, data quality, and training strategies influence performance.
• Enjoy experimentation, performance analysis, and iterative model improvement.
• Eager to take ownership of model components and grow into increasingly complex model development responsibilities.

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

Project Overview

This project aims to develop a real-time blood analysis and diagnostic platform using an integrated microfluidic chip. This platform uses precision microfluidic technology to process and profile the biological activity of white blood cells which is related to a host of inflammatory conditions ranging from diabetes, sepsis to leukemia. The platform developed will enable point-of-care diagnosis of diseases and this project will accelerate the platform from bench to bedside through the development, deployment and testing of clinical samples.

This Engineering position offers a rare opportunity to bridge the gap between laboratory discovery of new technologies and real-world implementation of clinical deployment and testing. 

Responsibilities

The engineer is responsible for the design, prototype, manufacturing and testing of the medical device. This involves the use of with computer-aided design prototyping, setting specifications and assembly of mechnical/electrical components, testing and deployment of device for field testing.

Responsibilties include:

- To work closely with a team of clinical, mechanical/software engineers and data scientist for the medical device design and prototyping. Gather feedbacks on prototype designs by end-users.

- To Validate designs by analysing data gathered from component or system level testing. Use benchmarking techniques to characterise component and device performance.

- To ensure proper documentation of design history files and standardization of data storage for reports, presentations, technical and administrative documents.

- To source for vendors and components to ensure manufacturability and cost of medical device.

- To support the team for maintenance of equipment, inventory and purchases.

Requirements

- Bachelors/Masters in Mechanical, Electrical, Biomedical Engineering with at least 1 years of experience in hardware prototyping and/or microfluidic operations.

- Rapid prototyping experience in areas such as 3D printing, laser cutting, CNC, injection molding, microcontroller/microprocessor programming and relevant skills in embedded system.

- Prefered experience in commercial manufacturing, R&D project management and hardware testing/certification.

- Excellent debugging skills and strong ability to root cause, isolate and solve software/hardware system issues.

- Fluent in C++, Python (3.X) and relavent coding languages for software-hardware integration.

- A desire to deliver a quality and innovative medical diagnostic product that improves many people’s lives.

- Good communication and managing skills are important to work with colleagues efficiently in addition to creativity to solve problems and find improvements on products and processes already in place.

- Required experience and knowlegde to read or write scientific publications, patent search, schematics and data sheets for hardware components.

- Able and commited to work in Singapore. Willing to commute and meet regularly with vendors and collaborators at NUS, NUH, and partnering hospitals.

- Strong documentation and writing skills

- A desire to deliver a quality and innovative medical diagnostic product that improves many people’s lives.

Relevant Skills

2D/3D Computer Aided Designs, C++, Python, Operating CNC/3D printers, basic use of machine tools, electronics circuit design, Github 

To apply, please visit our website at: https://portal.smart.mit.edu/careers/career-opportunities

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28SHINE-Programme-Management-and-Operations%29/33488-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

SHINE Programme Management and Operations 
•             Support the coordination and execution of SHINE research programmes in close collaboration with the Programme Director, principal investigators, researchers, and stakeholders.
•             Monitor programme deliverables, milestones, KPIs, and reporting timelines across SHINE projects and research thrusts.
•             Support coordination across SHINE research thrusts and facilitate interactions among principal investigators, researchers, industry partners, and funding stakeholders.
•             Coordinate and consolidate programme reports, including mid-term reviews, annual reports, final reports, presentations, and programme updates.
•             Support budget monitoring, grant utilisation tracking, expenditure reporting, fund requisitions, and budget virement processes.
•             Coordinate Governing Board (GB), Scientific and Technical Advisory Committee (STAC), programme review meetings, and related stakeholder engagements.
•             Assist in the preparation of technical and programme review materials, presentations, and supporting documentation.
•             Liaise with principal investigators, researchers, industry partners, and funding agencies to support programme execution and ensure timely delivery of project objectives.
•             Coordinate technical visits, industry engagements, and programme-related activities to support alignment between research activities and industry needs.
•             Maintain programme documentation, fixed asset records, compliance materials, and operational records.
•             Provide operational and administrative support for SHINE programme activities and initiatives as assigned.

Qualifications

 •            Possess a Bachelor's degree in a STEM discipline (Science, Technology, Engineering or Mathematics), preferably in Electrical Engineering, Computer Engineering, Materials Science, Physics, Mechanical Engineering, or a related field.
•             Relevant experience in research programme management, project coordination, industry collaborations, technology development programmes, research administration, or related functions would be advantageous.
•             Experience coordinating research projects, collaborative programmes, technical workshops, industry engagements, or multi-stakeholder initiatives.
•             Ability to engage effectively with principal investigators, researchers, students, industry partners, government agencies, and other stakeholders.
•             Strong interpersonal, communication, stakeholder management, and organisational skills.
•             Strong analytical and problem-solving abilities, with the capacity to manage multiple priorities and workstreams concurrently.
•             Familiarity with semiconductor technologies, advanced packaging, microelectronics, photonics, or related technology domains would be advantageous.
•             Experience in a university, research institute, government agency, corporate laboratory, or technology-related environment would be advantageous.
•             Proficient in Microsoft Office applications and comfortable working with project management and administrative systems.
•             Self-motivated, resourceful, and able to work independently in a dynamic research environment.
•             A collaborative team player with a positive attitude and strong attention to detail.
•             Open to appointment on a fixed-term contract

As a Senior IT Engineer (Cloud & Microsoft 365), you will be responsible for designing, implementing, and managing cloud, Microsoft 365, and hybrid infrastructure environments. You will play a key role in ensuring the availability, security, and performance of IT systems while supporting the organization's cloud transformation and digital workplace initiatives.

Key Responsibilities

• Design, implement, and support cloud, Microsoft 365, and hybrid infrastructure solutions.
• Administer Microsoft 365 services, including Exchange Online, Teams, SharePoint, OneDrive, and Entra ID.
• Manage Intune, endpoint security, Conditional Access, and MFA policies.
• Plan and execute cloud and Microsoft 365 migration projects.
• Monitor, maintain, and optimize the performance, availability, and security of IT systems.
• Administer Windows Server, Active Directory, virtualization, and related infrastructure services.
• Implement backup, disaster recovery, and business continuity solutions.
• Troubleshoot and resolve complex infrastructure, cloud, and Microsoft 365 issues.
• Automate routine tasks using PowerShell and other administration tools.
• Maintain technical documentation and standard operating procedures.
• Provide technical guidance to junior engineers and support project delivery.
• Ensure compliance with security policies, industry standards, and best practices.

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-Associate-%28Electronics-Engineer%29/27085-en_GB/

We regret that only shortlisted candidates will be notified.

About the Centre for Quantum Technologies (CQT)

The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing.
CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science, Technology and Research, Nanyang Technological University, Singapore, and the Singapore University of Technology and Design. With some 200 staff and students, it offers a friendly and international work environment

Learn more about CQT at www.quantumlah.org

Job Description

The Centre for Quantum Technologies (CQT), National University of Singapore is looking for researchers and engineers to develop next generation quantum computers based on trapped ions. There are multiple positions available at different levels with a diverse set of expertise. This program is funded under the National Quantum Processor Initiative, a flagship program under the National Quantum Office Singapore. The aim of the program is to develop a full stack quantum processor system based on Yb-Ba ions emphasizing on the performance rather than on the qubit numbers. This program brings together the unique capabilities of the existing ion trap groups in CQT expertizing on these two-ion species to explore scalability of the system.

The Centre for Quantum Technologies is a pioneering quantum centre in the world offering a diverse research culture at the intersection of the cross-section of three different fields namely, theoretical, experimental Physics and computer science. We offer competitive salary and enriching intellectual experience in a city state known for its forward outlook. This program also allows strong collaboration within and outside the country with leading academic and industrial groups within and outside the country. We are looking for talented electrical/electronic engineers to join the team of scientists and engineers working on the next generation of the quantum processor.

The team members will work to build electronics to control the ion trap quantum processor. That includes digital design, RF and microwave sources and low noise analog / digital front end. The ideal candidate should have practical experience in at least one of the following fields and desire to cross the boundaries and learn relevant skills. The successful candidate will be involved in all stages of the development cycle: collaborate with other team members to define the technical requirements, design, manufacturing, testing and integration of the prototype into the control system.

Job Requirements

We are looking for several electrical engineers to join the small team of scientists and engineers working on the next generation of the ion trap quantum processor. The candidate should have:

• Bachelor or Master degree in electronics, electrical engineering or related fields;
• At least 1-2 years of experience in electronics design is preferred;
• Experience in programmable digital logic design using Verilog or VHDL, digital signal processing, and familiarity with control theory;
• Design and characterisation of low noise electronics for the analog front end, good understanding of the noise sources in electronic circuits;
• Design and implementation of the RF electronics circuits.

More Information

For more details please contact: Manas Mukherjee at cqtmukhe@nus.edu.sg

We are a Marine Communication Equipment and Service Provider based in Singapore, providing marine electronic equipment and marine communication integration solutions for offshore vessels arriving in Singapore or around the Asia region.

We are looking for a dedicated Service Engineer (Marine) to be responsible for repair and maintenance of ship Navigation, Communication, Satcom, VSAT/TVRO, PAGA/PABX and GMDSS system. Reporting to the Head of Marine Electronics, and working closely with our business partners, he/she will be involved in the installation and testing if navigation and communications equipment on shipping vessels.

Responsibilities

• Involve in project for installation of marine electronics equipment.
• Liaise/co-ordinate with shipyard for related project.
• Assist in the repair works in the workshop.
• Brief business partners on various navigational/communication system setup.
• Provide technical support for business partners.
• Prepare reports on equipment to business partners.

Requirements

• Diploma / Degree in Electronics/Communication Engineering
• 1- 4 years of Marine Experience

Job Description:

• Perform AUTOCAD 2D drawing - single line drawing, system general arrangement, system dimension details, system layout arrangement, system termination details and system internal wiring details;
• Work closely with the system engineer to gather the specifications and supplier documentations to proceed with the required drawings.
• Convert sketch from system engineer into technical drawings.

Requirements:

1. Diploma in telecom, or equivalent technical discipline.

2. AUTOCAD trained / certified

3. Proven 1 years’ experience in a similar role within the market/industry.

4. Well organized documentation and design standard

5. Objective driven, time-sensitive and resourceful.

6. Good to have System knowledge of PAGA, CCTV, GMDSS and related telecom systems;

7. Sound coverage study using CadnaA software will be a plus.

ABOUT THE POSITION

We’re seeking a lead Full-Stack Engineer to lead a diverse team to design, implement, and optimize production-grade tools and applications that support video game asset pipelines and production workflows.

Responsibilities
Agent loop & harness engineering

• Own prompting strategy at scale: system prompt design, guardrails, mitigation of context poisoning and pollution, and management of hyperparameters (context window sizing, lost-in-the-middle effects, temperature, top-k).
• Design tool interfaces for agents: MCP servers, structured inputs/outputs for context, and sub-agent composition patterns.
• Champion best practices for typed-agent frameworks, with first-class observability and telemetry baked into every agent.
• Evaluate and integrate **local LLM** options where latency, cost, or data-residency requirements demand it.

Backend

• Design and build scalable backend services and secure RESTful APIs using Python (FastAPI or Flask).
• Model, query, and optimize data across relational and NoSQL databases; implement caching and messaging when needed.
• Enforce authentication/authorization, input validation, and robust error handling.

Quality, performance, and delivery

• Write comprehensive tests with tools such as pytest.
• Own performance tuning, troubleshooting, code reviews, and technical documentation.
• Set up and maintain CI/CD with Git and GitLab; use Docker for local development and deployment pipelines.

Collaboration and process

• Lead a group of engineers to deliver AI/Software project.Partner with UI/UX, backend, production, SRE, and IT stakeholders to deliver user-centric solutions.
• Contribute to architectural decisions and mentor junior engineers.
• Work within agile methodologies, continuously improving team practices. 

Qualifications

• 7+ years of professional experience building production applications as a full‑stack engineer.
• Strong hands-on expertise in Python (FastAPI or Flask), RESTful API design, and SQLAlchemy/Pydantic or similar tooling.
• Proficiency in Vue or React, including routing, state management (Vuex/Pinia or Redux), and component libraries.
• Proven experience working on public cloud like AWS/GCP
• Database proficiency with relational systems (PostgreSQL) and familiarity with NoSQL (MongoDB, Vector DB); experience with caching and message queues (Redis) is valued.
• Proven testing mindset and experience with automated test suites.
• Comfortable with Git, GitLab CI/CD, and Docker.
• Clear communication skills and experience collaborating with cross-functional teams.
• Nice to haveExperience with agent development frameworks (LangChain/LangGraph) is a plus.Certification: AWS Certified Solutions Architect – Associate 

Job responsibilities:

• Reports to Head of Engineering Management basis organization and to Project Engineering Manager when assigned to a project role.

• Completing all assigned tasks as delegated by the Engineering Manager

• Coordination of internal engineering activities and the interdisciplinary interfaces in close coordination with the discipline team leaders

• Ensure technical requirements defined in the contract are incorporated in the engineering deliverables.

• Managing and facilitating communication across the engineering functions to ensure that the project objectives and needs are met.

• Assist the Engineering Manager in compilation of weekly reports and highlight outstanding or hold issues, including areas of concern and review of action items.

• Organisation of multidiscipline system/area design reviews

• Participate in HAZOP's and other external reviews

• Define and request required resources and establish design teams

• Interface with other organisational units, including systems administrations

• Ensure that vendor information required to progress the work are identified and communicated

• Implement project strategies and philosophies

• Monitor the execution of the quality assurance program for conformance to project requirements.

• Responsible for the administration and follow-up of the deviation/ concession system and Technical Clarifications towards Client

• Coordinating with Third Party Suppliers/Service Contractors

• Responsible for ensuring identification, decision making and implementation of all changes to the design, including necessary changes arising from design development and site queries

• Coordinate with engineering team to identify risks and opportunities, evaluate the consequences and register them in the Risk Database. Follow up on and ensure closure of mitigation actions.

• Arrange lessons learnt workshops for the FEED and Execute phases with engineering. Follow up with discipline leads that relevant lessons learnt are implemented in the design

• Maintain a positive and safe working environment at work location

Work experience requirements:

• Must have a minimum of 8 to 12 years of experience having worked in an multi-disciplinary engineering setup for upstream oil & gas projects (Fixed and Floating installations) having served in the capacity of a Senior Project Engineer

• Must have an experience with Change/ Interface/ Risk Management

• Must have had prior work experience with medium/ large sized brownfield and green field projects in the Oil and Gas sector with similar roles and accountabilities and possess an excellent understanding of project phases, milestones and deliverables.

Qualifications:

• Bachelor’s degree in an equivalent engineering specialisation.

Other skills:

• good understanding and knowledge of oil and gas industry

• Computer literacy in MS Office

• Effective technical communication (verbal and written) skills with proven ability to present technical issues to design teams and client.

• Effective interpersonal skills and ability to work well with people at all levels.

• A self-starter who can work independently, make sound decisions, analyse problems and provide focused solutions.

• Strong industry knowledge in an MNC work environment would be an advantage

We regret that only shortlisted candidates will be notified.