Total 198 system engineer job vacancies in Education / Training category in Australia

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• This position is for School of Computing and Information Systems (SCIS).
• Design and implement AI for software engineering solutions.
• Conduct evaluations and/or user studies to validate the effectiveness of the algorithms and tools.
• Write and publish research papers and present them to reputable academic conferences.
• Package the documents, implementation code, evaluation results of the project for public release.
• Liaise with other team members of this project to realize the overall goal of the project.
• Other duties as assigned.

• Bachelor degree in Computer Science, Information Technology, or related discipline (e.g., Computer Engineering, Physics).
• 3+ years of industry experience in CI/CD automation, big data pipeline, and/or applied AI/ML
• Prior experience in vulnerability reporting and fixing, demonstrated by concrete accepted pull requests.
• Highly fluent in Python and SQL; competent in at least one additional language (e.g., C++).
• Demonstrated experience building and optimizing end-to-end data/ML pipelines.
• Hands-on experience with cloud platforms and big data tools.
• Competent in designing and implementing algorithms and data structures.
• Practical experience applying ML/AI techniques in production environments.
• Excellent knowledge about software engineering and artificial intelligence.
• Competent in designing and implementing algorithms and data structures.
• Excellent oral and written communication skills.
• Excellent analytical, technical and problem-solving skills.
• Self-motivated individual who can work independently and also collaboratively with team members.
• Able to work under strict deadlines.

#LI-JN2

Job Description

• Lead and contribute to advanced research efforts in 6G wireless communication technologies.
• Develop and refine technical proposals for international standards organizations (e.g., 3GPP).     
• Analyze emerging trends and integrate cutting-edge concepts (e.g., AI, energy efficiency, satellite communications) into research agenda.        
• Collaborate with interdisciplinary teams to evaluate technology feasibility and alignment with global standards.        
• Drive ecosystem engagement by participating in global alliances, industry forums, and standardization committees.        
• Mentor junior engineers in the standardization process and technical writing.

Job Requirements

• MS or PhD in Electrical Engineering, Communication Engineering or related field.        
• Expert knowledge of digital signal processing, wireless communication algorithms, or protocol design.        
• Deep familiarity with mobile communication standards (3G, 4G, 5G and beyond).       
• Strong experience in submitting and defending proposals in international standardization bodies.        
• Programming skills (C/C++, Matlab, Python) are highly desirable.
• Solid industry track record, ideally including patenting or published contributions to wireless standards.
• Preferred expertise in at least one area: AI for communications, satellite systems, or wireless energy engineering.

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow’. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

Key Responsibilities:

• Design and integrate databases with user interfaces and dashboards within cloud computing environments.

• To develop and deploy AI-driven modules across cloud and on-premises environments, supporting end-to-end integration, testing, and delivery.

• To develop interactive dashboards and user interfaces to visualize model outputs, data insights.

• Collaborated with research teams in continuously improving system performance through experimentation and AI model training and finetuning.

Job Requirements:

• Preferably Master in Computer Engineering, Computer Science, Electronics Engineering or equivalent.

• Independent, highly analytical, proactive and a team player

• Excellent teamwork and verbal, written communication skills

• In-depth knowledge relevant to the project domain.

• Demonstrated capability to conduct innovative research.

• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.

• Demonstrated ability to formulate hypothesis and design effective experimental plans.

• Ability to design and implement new experimental methods.

• High-level expertise in the required experiment or modelling methods.

• Ability to initiate collaboration research in multidisciplinary team.

• Oversee and report project progress.

• Ability and willingness to work some flexible hours.

We regret that only shortlisted candidates will be notified.

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• The candidate will conduct research on automatically analyzing Android applications and summarizing systems logs.
• Responsible for designing and implementing graphical user interfaces for various systems in this project, including the system for analyzing Android applications, the system for monitoring Android application executions, the website showcasing various project outputs, etc.
• Assist in developing the corresponding Android applications.
• Design, implement, and evaluate the user interfaces of various system components.
• Modify and improve existing systems that perform analysis on Android applications.
• Other duties as assigned.

• Minimum Bachelor's degree in computer science, information technology, information systems, or closely related disciplines.
• Masters degree is a plus.
• Good communication skills in English.
• Past research experience in computer security and software engineering is a plus.
• Advanced level of programming and software implementation, especially in C/C++ and Java.
• Good understanding of Android architecture and Android executables.
• Good analytical, technical, and problem-solving skills.
• Knowledgeable in software security problems and solutions.
• Applicants with research publications in security area will be advantageous.
• Self-motivated individual who can work independently and also collaboratively with team members.

#LI-JN2

The AUMOVIO-NTU Corp Lab is a strategic research collaboration between NTU and AUMOVIO, focusing on developing technically advanced solutions in the areas such as sustainable materials engineering, artificial intelligence, advanced communications and cybersecurity capabilities for future urban mobility applications. We aim to develop innovative solutions that can be commercialized into products and services for AUMOVIO through close collaboration with its business units.

We are looking for a Research Engineer who will contribute to the design, implementation, and optimization of transceivers and couplers for reliable signal transmission and reception over vehicular powerlines.

Key Responsibilities:

• Design, develop, and implement PCB-based transceiver circuits for transmitting and receiving data signals over powerlines.

• Develop adaptive couplers capable of delivering reflectionless signal transmission and reception under varying source and load terminations.

• Design and optimize filtering solutions to prevent signal interference with other electronic components in the system.

• Collaborate with communication systems researchers to enable the generation and processing of the required PLC waveforms.

• Work closely with the specialists to refine prototypes and ensure full compliance with electromagnetic compatibility (EMC) standards.

• Define specifications, select and order components, connectors, cables to withstand automotive operating conditions

• Prepare reports, discuss test results, present to stakeholders, and track progress.

Job Requirements:

• Bachelor’s degree in electrical engineering, electronics engineering, communications engineering, or related fields.

• Familiarity with SPICE, S-parameter circuit models and ability to simulate & optimize for S-parameters.

• Ability to perform schematic capture, PCB layout design for filters/RF coupler circuits, and to generate Bill of Materials and Gerber files.

• Soldering, troubleshooting, and basic mechanical fixing for prototyping.

• Hands-on experience in using multimeter, oscilloscope, spectrum analyzer, and vector network analyzer.

• Background in microwave circuit design, signal generation and processing.

• Experience in Altium Designer, LabVIEW, MATLAB, Keysight ADS, CST or similar tools

• Excellent problem-solving and analytical skills.

• Knowledge of transceiver and coupler design is a plus.

We regret to inform that only shortlisted candidates will be notified.

The Role

You will research and experiment with what drives visibility in AI-powered search engines such as Perplexity, ChatGPT, and Gemini. This is a hands-on research and engineering role — you will design experiments, build models, and see your work directly impact the product.

What you will do:

• Design and run experiments to identify and validate GEO ranking factors
• Develop and iterate on algorithms and scoring models
• Analyze large-scale data to extract actionable insights
• Work closely with the founding team to translate research into product features

What We’re Looking For

Must-have

• PhD (fresh graduate) or Master’s degree with 1 year of relevant experience
• Strong foundation in machine learning, NLP, or information retrieval
• Solid experimental mindset — able to design tests, analyze results, and draw conclusions
• Curious, fast learner, comfortable exploring territory without a map

Nice to have

• Familiarity with how LLMs process and retrieve information
• Experience with search, ranking, or recommendation systems
• Any prior exposure to SEO or content analytics

No prior GEO experience needed — we will learn together.

Job duties and responsibilities:

• Design new products and continually improve existing products to meet industry standards and customer requirements.
• Develop technical manuals and Instruction Operating Manuals for products, ensuring accuracy and usability.
• Prepare, review, and verify design drawings, detailed specifications, and fabricated drawings for compliance with technical standards.
• Create Bills of Materials (BOMs) and ensure accurate documentation.
• Order materials and supplies; monitor the progress of fabrication and installation to ensure alignment with design specifications and schedules.
• Perform quality control checks to ensure the integrity of materials, components, and final products.
• Update and maintain design records, project databases, and documentation for traceability and reference.
• Track and coordinate the delivery of goods and materials to meet project timelines.
• Collaborate with cross-functional teams, including procurement, production, and project management, to address technical challenges.
• Provide technical support and guidance to the fabrication and installation teams during project execution.
• Identify opportunities for cost optimization, design innovation, and process improvement.

Job Requirements:

• Degree or Diploma in Mechanical, Precision, Tool, and Die Engineering, or a related field.
• At least 2 years of experience as a Design Engineer.
• Proficiency in drafting software such as AutoCAD, SolidWorks, 3D modeling software, or equivalent.
• Experience in Marine Hydraulic Applications, with knowledge of valves and actuators, as well as gear design (e.g., spur gear, planetary gear, bevel gear).
• Understanding of forging, casting, and precision CNC machining processes.

The Role

You will lead research and experimentation into what drives visibility in AI-powered search engines such as Perplexity, ChatGPT, and Gemini. This is a senior hands-on research and engineering role — you will architect experiments, build and own models, mentor junior researchers, and see your work directly shape product strategy.

What You Will Do:

• Design, lead, and oversee experiments to identify and validate GEO ranking factors
• Architect and own the development of algorithms and scoring models end-to-end
• Drive large-scale data analysis to extract actionable insights and translate findings into strategic recommendations
• Collaborate closely with the founding team to define the research roadmap and translate research into product features
• Mentor and guide junior researchers and engineers on experimental design and best practices

What We're Looking For

Must-have

• PhD with 2+ years of industry experience, or Master's degree with 4+ years of relevant experience
• Deep expertise in machine learning, NLP, or information retrieval
• Proven track record of designing, executing, and shipping research-driven products or features
• Strong leadership and communication skills — able to influence without authority and present findings to non-technical stakeholders
• Self-directed and comfortable operating with ambiguity at the frontier of a new field

Nice to have

• Strong familiarity with how LLMs process, rank, and retrieve information
• Hands-on experience leading search, ranking, or recommendation systems in production
• Prior work in SEO, content analytics, or search quality evaluation
• Experience building or contributing to research teams from an early stage

No prior GEO experience needed — we will learn together.

The Alibaba-NTU Global e-Sustainability CorpLab (ANGEL) represents a key collaboration between Alibaba Group and Nanyang Technological University (NTU). Supported by the Singapore RIE2025 Fund, ANGEL creates and deploys impactful green digital technologies for global sustainability.

ANGEL’s mission aligns seamlessly with Singapore’s national objectives, such as the Singapore Green Plan 2030 and the Singapore Smart Nation Initiative. ANGEL’s work in developing sustainable and equitable digital solutions and promoting a sustainable and green lifestyle will contribute to a smaller carbon footprint. Its holistic approach will help to secure a brighter, more sustainable future for humanity. 

ANGEL will also cultivate human talents equipped with both advanced technical skills and a solid understanding of sustainable practices. They will enable Singapore to realise its environmental and technological ambitions.

ANGEL is looking for a Research Engineer to support research work under the project “Green AI”.

Job Description:

• Work closely with the Principal Investigator (PI) and interdisciplinary team members to support applied research and development projects at the intersection of data, AI, and sustainability.

• Contribute to the development of practical frameworks, methodologies, or tools that translate research insights into deployable or industry-relevant solutions.

• Prepare technical reports, documentation, and presentations to communicate findings to both academic and industry stakeholders.

• Support collaboration with industry partners by aligning research objectives with practical constraints and business needs.

Job Requirements:

• Bachelor’s or Master’s degree in a quantitative or applied discipline (e.g., engineering, data science, information systems, operations research, statistics, applied mathematics, or related fields).

• Demonstrated experience working with industry partners or in industry–academia collaborative projects, including translating practical requirements into research or technical deliverables.

• Strong problem-solving skills, good communication abilities, and the capacity to work effectively in cross-functional and interdisciplinary teams.

• Prior experience contributing to technical reports, patents, white papers, or research publications is a plus, but not required.

We regret to inform that only shortlisted candidates will be notified.

The Alibaba-NTU Global e-Sustainability CorpLab (ANGEL) represents a key collaboration between Alibaba Group and Nanyang Technological University (NTU). Supported by the Singapore RIE2025 Fund, ANGEL creates and deploys impactful green digital technologies for global sustainability.

ANGEL’s mission aligns seamlessly with Singapore’s national objectives, such as the Singapore Green Plan 2030 and the Singapore Smart Nation Initiative. ANGEL’s work in developing sustainable and equitable digital solutions and promoting a sustainable and green lifestyle will contribute to a smaller carbon footprint. Its holistic approach will help to secure a brighter, more sustainable future for humanity. 

We are looking for a highly motivated Research Engineer to pioneer the next generation of intelligent agents for data center operations. We conduct cutting-edge research at the intersection of Large Language Models (LLMs), digital twins, and real-time systems to automate complex decisions and redefine operational efficiency.

Key Responsibilities:

• Design and develop intuitive frontend interfaces for the Digital Twin platform, enabling real-time visualization and interaction with complex system data (e.g., battery systems, energy flows, simulations).

• Build and optimize interactive data visualization components (dashboards, charts, 3D views) using modern frameworks (e.g., React, WebGL), ensuring high performance and responsiveness.

• Collaborate closely with backend engineers and domain experts to integrate APIs, simulation outputs, and real-time data streams into seamless user experiences.

• Enhance system usability and performance by implementing scalable frontend architectures, debugging issues, and continuously improving latency, reliability, and user interaction workflows.

Requirements:

• Bachelor’s degree in computer science, Computer Engineering, Electrical & Electronic Engineering, or related disciplines;

• A strong research background and publication record in relevant areas such as LLMs, agentic AI, Digital Twin, reinforcement learning, or multi-agent systems.

• Deep theoretical and practical understanding of state-of-the-art AI models and frameworks (e.g., Transformers, LangChain, PyTorch).

We regret to inform that only shortlisted candidates will be notified.

Role Summary

The incumbent is responsible for plan, develop, and execute semiconductor test programs, perform debugging and analysis, and generate quality reports to ensure our products meet high reliability and performance standards. You will work closely with cross-functional teams including R&D, Production, and Customer Support.

Role Responsibilities

Test Planning & Development

· Develop, document, and execute detailed test plans, procedures, and results based on product requirements and specifications.

· Develop and maintain semiconductor test programs.

· Support electronic circuit design validation.

· Coordinate with customers and internal departments to clarify specifications and requirements.

Test Execution, Debugging & Analysis

· Conduct various types of testing, including functional, integration, performance, and usability testing.

· Execute manual and automated test routines to validate product functionality.

· Use defect tracking tools to identify, document, and analyse issues; provide clear findings and recommendations.

· Ensure test programs meet efficacy, reliability, and quality standards.

Quality Documentation & Reporting

· Record all test procedures, results, and observations.

· Prepare clear and concise reports on product quality and test outcomes.

· Recommend improvements to products and testing processes.

Role Requirements

· Bachelor’s or Master’s degree in Electrical, Electronics, or related field.

· Experience in software/hardware testing, preferably in the semiconductor or electronics industry.

· Basic knowledge of electronic circuit design and logical analysis.

· Proficiency with test equipment (oscilloscope, multimeter, logic analyzer, etc.).

· Experience in programming languages such as C, C++, VB, or equivalent.

· Strong analytical skills with high attention to detail.

· Ability to work independently and manage multiple tasks in a fast-paced environment.

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• Core Development: Develop, iterate, and maintain frontend features for security products, ensuring high-quality delivery.
• Collaboration & Implementation: Work closely with UI designers to accurately translate mockups and prototypes into functional code. Participate in design reviews, providing technical feasibility feedback.
• Technical Contribution: Participate in frontend technical discussions and solution design. Help build and maintain a stable, scalable, and maintainable frontend architecture and write clear technical documentation.
• Performance & UX Optimization: Continuously optimize application performance, page load speed, and interaction fluidity to enhance the end-user experience.
• Quality Assurance: Write robust, maintainable code and unit tests. Collaborate with QA engineers to ensure the quality of frontend features.
• Other duties as assigned.

• Bachelor's degree or higher. 1+ years of frontend development experience, with at least 6 months of hands-on production experience using Vue 3 and the Composition API.
• Strong proficiency in HTML5, CSS3 (including Flexbox, Grid), and modern JavaScript (ES6+).
• Solid understanding of core Vue ecosystem tools such as Vue Router and Pinia (or Vuex).
• Familiarity with frontend build tools and development workflows (e.g., Vite, Webpack, npm/yarn/pnpm).
• Good coding standards and teamwork spirit. Experience with Git version control.

#LI-JN2

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28AI-Accelerator-and-Energy-Efficient-Computing%29/32425-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a highly motivated and skilled Research Engineer to join our team in developing next-generation energy-efficient AI hardware. The project aims to demonstrate an AI accelerator chiplet that integrates emerging non-volatile memory (RRAM or MRAM) with conventional I/O interfaces. This platform will showcase compute–memory co-design advantages, including enhanced data throughput, improved energy efficiency, and reduced data-movement overheads for large-scale AI workloads. 

Key Responsibilities:
•    Develop and implement fine-grained dynamic voltage and frequency scaling (DVFS) strategies tailored for GPU-based AI workloads, with control at the level of transformer blocks and attention layers.
•    Design and build a high-resolution (microsecond-scale) performance monitoring framework to capture workload intensity, memory access patterns, and GPU utilization for real-time optimization.
•    Develop and deploy machine learning models to predict optimal voltage–frequency operating points during LLM training and inference.
•    Integrate predictive control algorithms with hardware platforms to enable real-time, adaptive power management across heterogeneous compute and memory subsystems.
•    Collaborate on system-level hardware–software co-design to realize energy-efficient AI acceleration.
•    Contribute to prototype development, benchmarking, and evaluation of performance and energy efficiency.
•    Publish research findings in leading journals and present at international conferences.
•    Mentor undergraduate students and support team-based research activities.

Qualifications

•    Bachelor’s or Master’s degree in Computer Engineering, Computer Science, or a related field.
•    Strong programming skills in Python and C/C++, with experience in machine learning frameworks such as PyTorch or TensorFlow.
•    Familiarity with deep learning models—particularly transformer architectures and large language models (LLMs)—is advantageous.
•    Experience or interest in system-level optimization (e.g., DVFS, workload profiling, or power management) is a plus.
•    Strong analytical and problem-solving skills, with the ability to conduct independent research and contribute to technical publications.
•    Ability to work effectively in a multidisciplinary environment, with good communication skills, initiative, and adaptability.

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-%28High-Precision-3D-Printing%29%2C-Division-of-Industrial-Design/32422-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

NUS Centre for Additive Manufacturing (AM.NUS) is inviting applications for the position of research engineer for High Precision 3D Printing. 
●    Develop, operate, and maintain high-resolution 3D printing systems, including two-photon polymerization (2PP), extrusion-based printing, and digital light processing (DLP) platforms. 
●    Fabricate and characterize complex 3D structures and scaffolds, ensuring quality, precision, and reproducibility. 
●    Support internal capability development and execute collaborative projects with academic researchers and industry partners. 
●    Assist in preparing technical reports, documentation, and contribute to publications and grant proposals where applicable.
●    Ensure proper laboratory operations, including equipment maintenance, safety compliance, and procurement of materials and components.

The NUS Centre for Additive Manufacturing (AM.NUS) leverages the National University of Singapore world-class faculties, expertise and advanced capabilities in 3D printing technology, to bring innovative products to the field of healthcare that will improve patient outcomes and change lives for the better. AM.NUS explores a whole new dimension in medicine, applying ground-breaking 3D printing technology for personalised patient treatments.

AM.NUS is the only multi-disciplinary Additive Manufacturing (AM) centre in an Institute of Higher Learning in Singapore which comprises five Faculties (Medicine, Science, Engineering, Dentistry and Design & Environment). The Centre is supported both internally by NUS and externally by National Additive Manufacturing Cluster (NAMIC) and Singapore Economic Development Board.

Qualifications

●    Bachelor Degree in Mechanical Engineering/Materials Science/Biomedical Engineering or related field.
●    Expertise in 3D printing. 
●    Experience in 2PP is an advantage.
●    Familiarity with advanced imaging techniques and data analysis software is an advantage.
●    Proficiency in written and spoken English. 

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28AI-Driven-Autonomous-&-Smart-Manufacturing%29%2C-Division-of-Industrial-Design/32423-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

NUS Centre for Additive Manufacturing (AM.NUS) is inviting applications for the position of Research Engineer in AI-Driven Autonomous and Smart Manufacturing, with a focus on Additive Manufacturing (AM). 

•    Develop AI-driven frameworks that integrate LLMs, agentic AI, and multimodal foundation models for autonomous and smart manufacturing applications, with emphasis on additive manufacturing.
•    Fuse multimodal sensor data, reinforcement learning, and vision–language models to enable real-time defect detection, process monitoring, and intelligent decision-making.
•    Support internal capability development and execute collaborative projects with academic researchers and industry partners.
•    Assist in preparing technical reports, documentation, and contribute to publications and grant proposals where applicable.
•    Assist laboratory safety and procurement whenever necessary.

AM.NUS leverages the National University of Singapore world-class faculties, expertise and advanced capabilities in 3D printing technology, to bring innovative products to the field of healthcare that will improve patient outcomes and change lives for the better. 
AM.NUS explores a whole new dimension in medicine, applying ground-breaking 3D printing technology for personalised patient treatments.

AM.NUS is the only multi-disciplinary Additive Manufacturing (AM) centre in an Institute of Higher Learning in Singapore which comprises five Faculties (Medicine, Science, Engineering, Dentistry and Design & Environment). The Centre is supported both internally by NUS and externally by National Additive Manufacturing Cluster (NAMIC) and Singapore Economic Development Board.

Qualifications

●    Bachelor degree in Mechanical Engineering, Manufacturing Engineering, Computer Science, Artificial Intelligence, Industrial Design or a closely related field.
●    Strong background in additive manufacturing and smart manufacturing systems.
●    Proven expertise in machine learning and AI, including experience with LLMs, multimodal models, or reinforcement learning.
●    Experience with engineering design and simulation tools (e.g., AutoCAD, SolidWorks, FEA) is an advantage.
●    Experience with digital twins, knowledge graphs, or cyber–physical systems is an advantage.
●    Proficiency in written and spoken English.