Total 5,191 firmware engineer job vacancies in Engineering category

Job Requirements

• Design of control systems, instrumentation, cabling and cable support systems for Process equipment,
• Industrial Facilities and Commercial Buildings, with the support of a senior engineer if necessary
• Design of Life Safety System comprising of Public Address Systems, Access control, Closed Circuit Television, Gas Detection and Fire Alarm systems with the support of a senior engineer if necessary
• Design of Information Technology cabling system with the support of a senior engineer if necessary
• Develop P&IDs, Instruments and IO list, Sequence of Operations, Logic Diagrams, Cause and effect matrices with the support of a senior engineer if necessary
• Develop / Execute / Expedite ELV packages during design, procurement, construction phase of a project and taking responsibility for the assigned packages
• Co-ordination and scheduling activities for the ELV supervisors on a project to ensure timely delivery at project milestone dates
• Interfacing with other trades during design phase and incorporate their requirements into the ELV systems design
• Technical Evaluation of vendor submissions including approval of shop drawings
• Preparing the procedure for testing and commissioning of individual system and manage subcontractor during commissioning of the Extra Low Voltage systems
• Guiding Designer / Draftsman for preparing cable routing plan, hookup drawings, wiring drawings, cable schedule, Junction Box schedule, Instrument Air manifold schedule, Block diagrams, P&IDs, Control System Schematic
• Prepare Extra Low Voltage System tender packages including specification and drawings.
• Responsible for ensuring to remain familiar with latest country codes, current practices and engineering trends within the industry
• Tendering and estimating of Extra Low Voltage system works for projects prior to award
• Prepare Technical Bid evaluations and recommendations during project execution
• Compilation and Review of Operation and Maintenance Dossier for Projects
• Liaise with Clients, Consultants, equipment vendors and suppliers where required to ensure compatibility of design interfaces during construction activity
• Adherence to the Corporate and Project Quality Management System
• To take role as Work Package Owner (WPO) responsible for packages progress to completion with help of supervisor and final handover documents
• Ad-hoc duties as determined by management
• Use / Maintain Exyte Knowledge Center
• Continuously update profile on career compass

Job Requirements

• Degree in Instrumentation and Controls Engineering
• Diploma holders with additional 2 - 3 years’ experience unless equated with professional certifications
• Experience in design, installation, programming, commissioning of Process and Building control systems
• Experience in design, selection, installation, commissioning of Instrumentation for Process and Building control systems
• Experience in Extra Low Voltage Systems such as Fire Alarm, Security systems, IT data network
• Experience in Advanced Technology Facilities, Life Science & Chemicals, Energy & Environment Technologies, High Tech Infrastructure, Process Automation, Products and Services
• Experience in construction management

Responsibilities:

• Lead the site supervision team on all the Civil and Structural and Building Construction works.
• Assist Chief Resident Engineer and Construction Manager on all Civil & Structural site inspection issues, contract related matters and support the identification of defects and supervise rectification works.
• Address and respond to all Contractor’s RFI’s and technical submittals. Other work scopes include but not limited to assess method statements/instrumentation reading, coordinate with other discipline engineers and liaise with design team/QP from HQ.
• Attend all site/project related meetings, discussions with clients and/or Contractors and to lead in technical and work progress discussions.

Qualifications:

• Good graduate Degree in Civil & Structural Engineering, preferably recognised by the PE Board, Singapore.
• Minimum 10 years of construction experience in supervising civil and structural works in water/used water treatment works.
• Registered with IES as Resident Engineer (Civil).
• A person with good communication and leadership skills.

About Innowave Tech

Innowave Tech is a leading AI solution provider in the semiconductor industry, specializing in developing cutting-edge technologies for innovation and efficiency. Our focus is on leveraging computer vision and large-scale data analytics to meet the complex needs of our clients.

Position Overview

We are looking for a Lead IoT Engineer to spearhead the end-to-end development of our IoT products. This role covers hardware, firmware, and software integration, with a strong focus on product lifecycle management. You will lead a small team of engineers, work closely with clients, and collaborate across product, operations, and manufacturing teams to deliver production-ready solutions.

Key Responsibilities

1. Lead the end-to-end development of IoT solutions, covering hardware, firmware, and software.
2. Manage the full product lifecycle from concept and prototyping to pilot and production.
3. Provide technical leadership for a small team engineers, including mentoring, task allocation, and design/code reviews.
4. Engage directly with clients for requirement gathering, solution presentations, and troubleshooting.
5. Oversee project management activities: timelines, documentation, andrisktracking.
6. Collaborate with product managers, operations, suppliers, and manufacturing teams.

Technical Skills

• Hardware: PCB design, electronics fundamentals, sensors, microcontrollers (STM32, ESP32), industrial protocols (Modbus, CAN, RS485).
• Firmware: C/C++ for MCUs, RTOS, Linux device drivers, low-level debugging.
• Software: Python, Node.js (or similar) for middleware; cloud integration (AWS/Azure); containerization (Docker, Kubernetes).
• Networking: TCP/IP, MQTT, HTTP/REST APIs, and security protocols.
• Tools: Altium/KiCad, Git, Jira, CI/CD pipelines.

Qualification

• Bachelor’s degree in Electrical/Electronic Engineering (EE/EEE), or equivalent experience.
• 3+ years of experience in IoT, embedded systems, or related product development.
• Prior team leadership and product development experience preferred.
• Background in semiconductors, industrial IoT, or automation industries preferred.

THE ROLE:

DFT engineer will lead strong engineering team on Scan, MBIST, iJTAG test development of latest AMD products. The IPs range from complex processors, AI computation blocks, to state-of-the-art controller IPs which provide automotive, data center, machine learning and high-speed communication solutions. You will work closely with designers to make sure DFT structures are correctly implemented, with test engineers to make sure ATE test programs can be generated from the DFT (ATPG, MBIST) tools, with product engineers to make sure scan/MBIST production test can run seamlessly and stable, and with yield engineers to debug and root-cause failures/defects. You will get the opportunity to expand technical knowledge beyond DFT into embedded processor firmware, complex chip simulation, RTL implementation for ASIC & FPGA and deep silicon debug works all the way to high-volume production requirement. This is the role to oversee complete silicon cycle from design to production phases.

THE PERSON:

We are looking for candidates that can communicate complex engineering subjects effectively to cross functioning technical teams and upper management. Strong DFT and leadership skills will be put to good use. Successful Member of Technical Staff DFT engineer will interact with many external teams and must confidently represent his/her organization.

KEY RESPONSIBILITIES:

• Manage DFT engineers resolving technical challenges and meeting product schedule
• The role is in AMD global quality and operation organization driving best manufacturing test solution through pre and post silicon activities
• Work closely with design teams and make sure DFT structures are correctly implemented.
• Responsible for developing, implementing and verifying DFT schemes on hard-IPs in AMD ASIC and FPGA products.
• Responsible for developing and implementing techniques to test digital logic, using Scan Compression, Stuck-at, Transition and Path-Delay fault models
• Responsible for testing other parts of the design, including memory, mixed-signal, I/Os, custom LBISTs & MBISTs, IEEE1149.1 JTAG and IEEE1687 IJTAG
• Responsible to develop Firmware driven cost-effective test strategies/methodologies with built-in diagnosis capability to enable efficient debugging and fault isolation on bench/ATE
• Collaborate closely with the New Product Introduction and Test/Product teams to ensure timely delivery of robust test patterns, and manage debugging of pattern issues on bench/ATE to root cause the problem
• Assist in Diagnosis and Yield enhancement through product lifecycle
• Develop an adaptive and cohesive team to take up any challenging tasks entrusted by management

PREFERRED EXPERIENCE:

• Experience DFT engineering experience through DFT pre and post silicon cycles
• Experience in creating and implementing complex chip-level DFT architecture
• Experience in DFT implementation including Scan and Scan Compression at IP and SoC level
• Experience with DFT tools, ATPG (Stuck-At, At-Speed, Path-Delay) and scan compression.
• Strong MBIST knowledge
• Knowledge of Tessent Streaming Scan Network SSN and hand-on experience is a big plus
• Proficient in logic design using Verilog and experience in synthesis and STA
• Experience in developing test benches and simulation in RTL/GATE/SDF environments
• Knowledge of FPGA synthesis and design flow is a plus
• Experience with post-silicon debug and bench equipment (e.g., oscilloscope and logic analyser)
• Good communication skills, works well in a group environment that spans across continents
• Comfortable in Linux environment and writing/using scripting languages such as Perl, Tcl, etc

ACADEMIC CREDENTIALS:

• MS or Ph.D. in Electrical/Electronic/Computer Engineering

About Company

Founded in 2022, XG Tech is driving the future of smart vehicles. Its mission is to empower the digital transformation of automobiles, moving from distributed computing to a centralized, cross-domain platform.

XG Tech focuses on the intelligent cockpit—the next frontier of differentiation—while seamlessly integrating advanced driving systems. By reimagining cars as mobile living spaces, XG Tech aligns with the evolving trend of vehicles becoming the “third living space.”

Role Summary

As an IC Verification Engineer, you will lead the functional verification of complex IPs and SoCs. You will design and implement verification plans, build reusable testbenches, and collaborate closely with design teams to ensure high-quality, bug-free silicon.

Key Responsibilities

• Develop and implement comprehensive verification plans for IP and SoC levels.
• Architect and build reusable testbenches and verification environments using UVM (Universal Verification Methodology).
• Create directed and constrained-random tests to identify design bugs.
• Develop functional coverage and assertion checks to ensure verification completeness.
• Analyze simulation results, debug test failures, and work with design teams to resolve issues.
• Automate verification flows and regressions using scripting languages.
• Support emulation and FPGA prototyping efforts.

How you will stand out

• Bachelor’s or Master’s degree in Electrical/Electronics Engineering, Computer Science, or a related field.
• Solid experience in functional verification of ASICs/SoCs.
• Strong proficiency in SystemVerilog and UVM methodology.
• Experience with verification tools and simulators (e.g., VCS, Xcelium, Questa).
• Programming and scripting skills (e.g., C/C++, Python, Perl, TCL) are highly desirable.
• Knowledge of formal verification techniques is a plus.
• Strong analytical and debug skills with a keen attention to detail.
• Ability to work effectively in a collaborative, cross-functional team.

XG Tech is committed to providing equal employment opportunities by country, state, and local laws. XG Tech does not discriminate against employees or applicants based on conditions such as race, color, gender identity and/or expression, sexual orientation, marital and/or parental status, religion, political opinion, nationality, ethnic background or social origin, social status, disability, age, indigenous status, and union.

Job Description

• Manage and coordinate project activities.
• Perform installation, commissioning, maintenance, and testing of equipment.
• Prepare and compile field service reports after equipment servicing.
• Provide technical and engineering support for products, services, and equipment by responding to customer inquiries and requests.
• Coordinate job arrangements and work schedules.
• Maintain and update product databases and related documentation.
• Continuously maintain and improve professional and technical knowledge.

Job Requirements

• Degree in Electrical & Electronic Engineering or higher.
• Advanced knowledge of 3-phase electrical testing and understanding of Single Line Diagrams (SLD).
• Strong interpersonal and communication skills.
• Good analytical and problem-solving abilities.
• Possess a valid Class 3 driving license.

Additional Notes:

• Opportunities for overseas training and assignments.
• On-the-job and safety training will be provided.

Job Responsibilities

• Lead the Extra-Low Voltage systems design on assigned large scale projects during the tender, design, procurement, construction, commissioning until finale client acceptance phase
• Design of control systems, instrumentation, cabling and cable support systems for Process equipment, Industrial Facilities and Commercial Buildings, with the support of Lead Engineer, if necessary
• Design of Life Safety System comprising of Public Address Systems, Access control, Closed Circuit, Gas Detection and Fire Alarm systems with the support of a Lead Engineer if necessary
• Design of Information Technology cabling System with the support of a Lead Engineer if necessary
• Develop P&IDs, Instruments and IO list, Sequence of Operations, Logic Diagrams, Cause and effect matrices with the support of Lead Engineer if necessary
• Develop / Execute / Expedite ELV packages during design, procurement, construction phase of a project and taking responsibility for the assigned packages
• Co-ordination and scheduling activities for the ELV supervisors on a project to ensure timely delivery at project milestone dates
• Interfacing with other trades during design phase and incorporate their requirements into the ELV systems design
• Technical Evaluation of vendor submission including approval of shop drawings
• Preparing the procedure for testing and commissioning of individual system and manage subcontractor during commissioning of the Extra Low Voltage systems
• Guiding ELV engineers / Designer / Draftsman for preparing cable routing plan, hookup drawings, wiring drawings, cable schedule, Junction Box schedule, Instrument Air manifold schedule, Block diagrams, P&IDs, Control System Schematic

Job Requirements

• Degree in Instrumentation and Controls Engineering 
• At least 8 years of experience in design and construction
• Experience in design, installation, programming, commissioning of Process and Building control systems
• Experience in design, selection, installation, commissioning of Instrumentation for Process and Building control systems   
• Experience in Extra Low Voltage Systems such as Fire Alarm, Security systems, IT data network
• Experience in Advanced Technology Facilities, Life Science & Chemicals, Energy & Environment Technologies, High Tech Infrastructure, Process Automation, Products and Services
• Experience in construction management

Are you an AI/ML Engineer who loves to build and implement innovative solutions that create value at scale? If so, you might be the perfect fit for our Senior AI/ML engineer role at Carlyle.

In this role, you will work with data scientists, engineers, and stakeholders to design, deploy, and operationalize state-of-the-art AI/ML systems that solve complex business problems. You will also drive the innovation of MLOps platforms and processes for the full machine learning lifecycle - from model experimentation, to CI/CD pipelines, to model monitoring and retraining in production environments. You will leverage cloud AI/ML platforms, containerization, automation tools and processes to streamline AI/ML workflows.

Additionally, you will optimize AI/ML solutions for performance, scalability and cost. You will serve models via microservices, APIs and batch scoring pipelines integrated with data products and business applications.

You should have strong expertise in AI/ML platform engineering, modern data platforms, model deployment pipelines, relevant cloud platforms and programming languages like Python. You should also have excellent problem-solving abilities, attention to detail and communication skills.

If you are passionate about pushing the boundaries of artificial intelligence and making an impact by delivering innovative ML solutions, this is the role for you. Join us and help shape the future of AI-driven products and services at Carlyle.

Primary Responsibilities:

• Collaborate with stakeholders and data scientists to translate business problems and requirements into ML solutions
• Engineer end-to-end AI/ML systems from prototyping to production deployment
• Design and implement AI/ML pipelines for data ingestion, transformation, model training, evaluation, and inference
• Choose and apply suitable ML algorithms and frameworks such as TensorFlow, PyTorch, Keras for model development
• Optimize model performance, accuracy and fairness using techniques like hyperparameter tuning, error analysis, and model governance
• Deploy and serve models using REST APIs, serverless functions, or microservices
• Monitor and maintain AI/ML solutions using AI/MLOps best practices and tools
• Enhance model scalability, performance and cost efficiency using cloud AI/ML platforms, containerization, and automation
• Build AI/MLOps discipline and practice

Requirements:

Education &Certificates

• Bachelor’s degree, required
• Concentration in Computer Science, Information Technology, or related field, preferred
• Industry Cloud and AI/ML Engineering level certifications desired

Professional Experience

• Minimum of 6 years of overall relevant technical experience, required
• 5+ years of direct experience in AI/ML engineering projects, preferred
• Experience with LLM refinement and vector database embeddings
• Experience with training, evaluating and deploying deep learning models

Competencies & Attributes

• Proficiency with common ML and data platforms such as AzureML, Amazon SageMaker, Databricks, and Snowflake
• Knowledge of AI/ML pipelines, AI/MLOps concepts and tools
• Ability to build production-grade AI/ML solutions with scalability in mind
• Experience with MLOps tools and techniques to optimize ML lifecycle management
• Experience with ML metadata and artifact tracking platforms such as MLflow
• Experience containerizing and deploying models and solutions to cloud platforms like Azure or AWS
• Understanding of model governance concepts such model risk analysis, QA, compliance
• Experience with building ML technical architecture diagrams encompassing data, model building, operations
• Experience with operating end-to-end ML platforms supporting analytics and ML teams
• Experience with assessing model technical debt, maintaining pipelines, keeping systems up-to-date
• Experience with Python for analytics and ML applications
• Proficiency with common Python data analysis libraries like NumPy, Pandas, SciPy
• Experience with common Python ML libraries like Scikit-Learn, TensorFlow, PyTorch
• Experience with Jupyter Notebooks for ML experimentation and prototyping
• Ability to transition ML prototypes to production solutions
• Experience with Terraform for IaC of ML infrastructure on Azure, AWS cloud platforms.
• Strong problem solving, analytical and communication skills

Role Summary
Responsible for end-to-end management of sheet metal fabrication projects, ensuring successful execution from design review and material planning to production, quality control, and on-time delivery. Acts as the key liaison between engineering, production, suppliers, and customers.

Key Responsibilities

• Manage multiple fabrication projects, ensuring delivery within scope, schedule, and budget.
• Review customer drawings, specifications, and BOMs for manufacturability.
• Coordinate with engineering, procurement, production, and logistics teams to ensure smooth project execution.
• Prepare and monitor project schedules, work orders, and production plans.
• Support CAD/CAM teams in developing fabrication drawings and nesting layouts.
• Apply DFM principles for sheet metal processes including cutting, bending, welding, punching, and forming.
• Monitor shop-floor activities, machine scheduling, and production progress.
• Resolve technical and production issues, minimizing delays and material wastage.
• Liaise with customers and vendors on technical requirements, project updates, and outsourced processes.
• Prepare project status reports and ensure quality and delivery targets are met.

Requirements

• Degree in Mechanical, Production, or Manufacturing Engineering.
• 3–6 years of experience in sheet metal fabrication, heavy engineering, or related industries.
• Strong knowledge of sheet metal manufacturing processes, materials, and fabrication methods.
• Proficient in interpreting engineering drawings, GD&T, and BOMs.
• Experience with SolidWorks, AutoCAD, ERP/MRP systems, and Microsoft Excel.
• Familiarity with CAD/CAM, nesting software, and Trumpf machines is an advantage.
• Strong project management, problem-solving, communication, and coordination skills.

Preferred Industries: Sheet Metal Fabrication, Enclosures, Automotive, Industrial Equipment.

About Company

Founded in 2022, XG Tech is driving the future of smart vehicles. Its mission is to empower the digital transformation of automobiles, moving from distributed computing to a centralized, cross-domain platform.

XG Tech focuses on the intelligent cockpit—the next frontier of differentiation—while seamlessly integrating advanced driving systems. By reimagining cars as mobile living spaces, XG Tech aligns with the evolving trend of vehicles becoming the “third living space.”

Role Summary

As a Senior Agent Researcher, you will design and build evaluation-driven Agent and multi-agent systems for complex real-world applications. You will focus not just on making Agents work, but on understanding, measuring, and continuously improving their behavior, combining research depth with strong engineering execution in an AI-native development environment.

Key Responsibilities

• Build and evolve evaluation-driven Agent systems, using evaluation as the core mechanism for behavior improvement and iteration
• Design Agent architectures that are observable, maintainable, and optimizable under real-world constraints
• Develop scalable evaluation infrastructure, including automated testing, benchmarking, and experimentation frameworks
• Optimize Agent performance across architecture, model selection, context management, memory, and tool usage, balancing performance and cost
• Rapidly prototype Agent systems and demos, integrating research insights with engineering and product validation
• Continuously explore and apply advancements in LLMs, multimodal models, multi-agent systems, and context engineering

How You Will Stand Out

• Proven experience designing, building, or deploying Agent systems, LLM-based applications, or complex AI systems in production environments
• Strong understanding of AI/ML fundamentals and system design, including models, inference, training, context, and evaluation
• Hands-on experience with Agent evaluation frameworks, automated experimentation, or A/B testing
• Ability to translate cutting-edge research (LLMs, MLLMs, multi-agent systems) into practical, production-ready solutions
• Strong systems thinking with a research-oriented mindset and solid engineering execution
• Publications, open-source contributions, or experience in automotive, chip, or intelligent cockpit systems are advantageous

XG Tech is committed to providing equal employment opportunities by country, state, and local laws. XG Tech does not discriminate against employees or applicants based on conditions such as race, color, gender identity and/or expression, sexual orientation, marital and/or parental status, religion, political opinion, nationality, ethnic background or social origin, social status, disability, age, indigenous status, and union.

Responsibilities:

• Perform engineering duties such as design, engineering calculations, planning, tender preparation/evaluations as part of the engineering project team
• QA/QC documentation of engineering deliverables
• Liaison with clients, project managers, architects, contractors
• Assist in resolving any technical problems faced during project design and/or construction stages
• Any other required duties as required by the Project Team.

Requirements

• Degree in Mechanical Engineering.

HOW TO APPLY:

Interested applicants, kindly send your resume in MS WORD format or please click on “Apply Now”.

We regret only shortlisted candidates will be notified.

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Key Responsibilities:

• Technical Ownership: Lead the end-to-end delivery of complex features, ensuring that technical designs are robust, scalable, and aligned with long-term goals.
• Engineering Excellence: Drive the adoption of high-quality engineering standards, ensuring that software systems are maintainable, secure, and reusable.
• Design & Implementation: Take an active role in architectural discussions and squad-level technical decisions, advocating for best practices in modern software development.
• Strategic Influence: Help shape the technical direction of digital initiatives to maximize their impact on the public good.
• Culture Building: Establish and refine engineering practices and tools that foster a strong, effective, and collaborative engineering culture.
• Stakeholder & Dependency Management: Independently navigate work-related dependencies and communicate technical concepts effectively to both senior leads and legal domain experts.
• Roadmapping: Collaborate with leadership to define and update technical plans and infrastructure roadmaps to meet future organizational needs.

What We Are Looking For:

Technical Requirements

• Professional Experience: * At least 7 years of professional experience in software engineering.
• Proven track record of building and maintaining large-scale, high-availability software systems.
• (Good to have) Experience in public sector, legal, or highly regulated environments is advantageous.
• Full-Stack Expertise: Deep experience in modern full-stack web application architecture and development.
• Tech Stack: Proficiency in JavaScript Typescript frontend development and TypeScript/Python for AI related back-end development.
• GenAI Development: Hands-on experience in Generative AI (GenAI) development, including working with Large Language Models (LLMs), RAG patterns, and building AI-driven features.

Infrastructure & Cloud:

• Strong hands-on experience working with Amazon Web Services (AWS) infrastructure.
• Proficiency in Infrastructure as Code (IaC) using Terraform.

DevOps:

• Experience designing and maintaining CI/CD pipelines exclusively using GitLab CI within the SHIP-HATS ecosystem.

Leadership & Soft Skills

• Strong Communication: Able to hold your own in conversations with legal professionals, product owners, vendors, and senior leadership. You can present complex findings clearly to non-technical audiences.
• Technical Maturity: A strong sense of ownership and the ability to navigate a professional, high-stakes organizational environment.
• Comfort with Ambiguity: You create structure where none exists and drive progress without waiting for perfect conditions or complete information.
• Mentorship: A collaborative mindset with a passion for coaching junior members and sharing knowledge with the wider team.
• Mission-Driven: A genuine commitment to the public good and an interest in the legal and justice sector.
• Craftsmanship: An uncompromising focus on engineering excellence, performance, and clean, well-documented code.

Key Responsibilities:

• Technical Ownership: Lead the end-to-end delivery of complex features, ensuring that technical designs are robust, scalable, and aligned with long-term goals.
• Engineering Excellence: Drive the adoption of high-quality engineering standards, ensuring that software systems are maintainable, secure, and reusable.
• Design & Implementation: Take an active role in architectural discussions and squad-level technical decisions, advocating for best practices in modern software development.
• Strategic Influence: Help shape the technical direction of digital initiatives to maximize their impact on the public good.
• Culture Building: Establish and refine engineering practices and tools that foster a strong, effective, and collaborative engineering culture.
• Stakeholder & Dependency Management: Independently navigate work-related dependencies and communicate technical concepts effectively to both senior leads and legal domain experts.
• Roadmapping: Collaborate with leadership to define and update technical plans and infrastructure roadmaps to meet future organizational needs.

What We Are Looking For:

Technical Requirements

• Professional Experience: * At least 7 years of professional experience in software engineering.
• Proven track record of building and maintaining large-scale, high-availability software systems.
• (Good to have) Experience in public sector, legal, or highly regulated environments is advantageous.
• Full-Stack Expertise: Deep experience in modern full-stack web application architecture and development.
• Tech Stack: Proficiency in JavaScript Typescript frontend development and TypeScript/Python for AI related back-end development.
• GenAI Development: Hands-on experience in Generative AI (GenAI) development, including working with Large Language Models (LLMs), RAG patterns, and building AI-driven features.

Infrastructure & Cloud:

• Strong hands-on experience working with Amazon Web Services (AWS) infrastructure.
• Proficiency in Infrastructure as Code (IaC) using Terraform.

DevOps:

• Experience designing and maintaining CI/CD pipelines exclusively using GitLab CI within the SHIP-HATS ecosystem.

Leadership & Soft Skills

• Strong Communication: Able to hold your own in conversations with legal professionals, product owners, vendors, and senior leadership. You can present complex findings clearly to non-technical audiences.
• Technical Maturity: A strong sense of ownership and the ability to navigate a professional, high-stakes organizational environment.
• Comfort with Ambiguity: You create structure where none exists and drive progress without waiting for perfect conditions or complete information.
• Mentorship: A collaborative mindset with a passion for coaching junior members and sharing knowledge with the wider team.
• Mission-Driven: A genuine commitment to the public good and an interest in the legal and justice sector.
• Craftsmanship: An uncompromising focus on engineering excellence, performance, and clean, well-documented code.

Job Overview

We are seeking a Marine Structural Engineer to support the design, engineering, and technical execution of shipbuilding, vessel conversion, and repair projects. This role will be responsible for developing production drawings, performing structural calculations, reviewing technical specifications, and ensuring compliance with classification society requirements and maritime regulations.

The ideal candidate should possess strong structural design expertise within the marine or offshore industry and have experience working closely with clients, classification societies, designers, and shipyard teams throughout the project lifecycle.

Key Responsibilities

Engineering Design & Technical Review

• Review contracts, technical specifications, equipment requirements, and engineering documentation to ensure compliance with project obligations
• Interpret design drawings, classification requirements, and maritime regulations to support engineering activities
• Develop engineering solutions and technical proposals to address project requirements and design challenges
• Prepare technical responses, drawing comments, and engineering clarifications for clients, classification societies, and project stakeholders

Structural Design & Production Drawings

• Prepare and develop production drawings based on approved design and classification drawings
• Produce engineering drawings including General Arrangement (GA), outfitting drawings, lifesaving arrangements, structural construction plans, lifting arrangements, and other vessel-related drawings
• Perform structural strength calculations, weight calculations, and weight control analysis
• Support the development of block construction plans and structural fabrication documentation
• Ensure engineering deliverables are completed accurately and according to project schedules

Project Coordination & Stakeholder Management

• Liaise with clients, classification societies, designers, vendors, and internal project teams to ensure technical compliance and timely project execution
• Support new building, conversion, and ship repair projects throughout the engineering phase
• Participate in technical discussions and coordinate engineering matters with relevant stakeholders

Tender & Proposal Support

• Assist commercial teams during tender submissions for shipbuilding, repair, and conversion projects
• Support conceptual design development and technical proposal preparation for new business opportunities
• Review tender requirements and provide engineering input during bid preparation

Requirements

• Diploma or Degree in Marine Engineering, Naval Architecture, or a related engineering discipline
• Minimum 3-5 years of experience in marine structural engineering, naval architecture, or ship design within the marine, offshore, or shipbuilding industry
• Strong understanding of vessel structures, classification rules, and maritime regulations
• Experience preparing structural calculations, weight calculations, and production drawings
• Proficiency in AutoCAD and Microsoft Office applications
• Ability to interpret engineering drawings, technical specifications, and project requirements
• Strong analytical and problem-solving skills
• Effective communication and stakeholder management abilities
• Ability to work independently while managing multiple engineering deliverables
• Willingness to travel overseas for technical meetings when required

Please send your detailed resume in MS Word format to resume@goldtecHRs.com with

• Education Level
• Working experiences
• Each employment background
• Reason for leaving each employment
• Last drawn salary
• Expected salary
• Date of availability

AI Singapore (AISG) is Singapore's national programme in artificial intelligence, launched by the National Research Foundation (NRF) to anchor deep national capabilities in AI. Hosted at Nanyang Technological University (NTU), AI Singapore brings together Singapore-based research institutions and the vibrant ecosystem of AI start-ups and companies to perform use-inspired research, grow knowledge, create tools, and develop the talent to power Singapore's AI efforts. Since our inception in 2017, we have established a culture of respect, continuous learning, experimentation and curiosity, centred around innovation.

The candidate will join a team of AI scientists, apprentices, data and software engineers. With the team, he or she will be responsible for building evaluations that test the limits of AI models especially in terms of its multilingual, multicultural and multimodal capabilities.

Duties and Responsibilities:

• Develop and maintain evaluation frameworks and pipelines to measure the capabilities of Large Language Models (LLMs).

• Keep up to date and experiment with the latest research in multilingual, multicultural, and multimodal LLM evaluations such as the LLM-as-a-Judge paradigm.

• Work with partners to collect, translate and verify evaluation datasets.

• Perform the necessary data preparation and analysis, AI modelling, coding, testing, validation and deployment to ensure reliable and scalable AI solutions.

• Collaborate with cross-functional teams within AI Products to design and resolve issues.

• Maintain code repository and documentation standards.

• Contribute to community engagement activities such as sharings via technical session meet-ups and article write-ups, and participating in discussion forums.

Requirements:

• Graduate from a degree program in computer science, AI, data science or related fields (or equivalent practical experience).

• Deep understanding of LLM evaluation experimental design and the advantages/limitations of various LLM evaluation methods.

• Experience in LLM inference frameworks such as vLLM and AI/Deep Learning frameworks such as PyTorch.

• Writing production level code in Python and using version control systems such as Git.

• Strong written and verbal communication skills.

• Independent learner that is capable of reading and understanding research papers.

• Fluent in English and one other Southeast Asian language for the purposes of understanding how to build quality evaluations from a multilingual and multicultural perspective.

We regret that only shortlisted candidates will be notified.