HKSTP announces the launch of the Student Internship Programme (SIP) 2026, which has been open for applications since mid-May 2026.-SIP 2026 is designed to equip students with essential skillsets, industry exposure, and professional networks, supporting their transition into the innovation and technology (I&amp;T) sector upon graduation. The programme also enables companies to engage early with emerging talent and contribute to workforce development.-Eligible HKSTP partner companies can receive funding support to employ qualified student interns, providing students with meaningful, hands-on experience in real-world business environments.-*Please note that funding support is allocated on a&nbsp;first-come, first-served basis.-For further details, please feel free to contact TecONE at 2629 2383 or sip@hkstp.org.

HKSTP Student Internship Programme 2026

Blooming with AI: HKSTP Summer Talent Fest 2026 cum Kick-off Ceremony for "AI for All" Inclusive Programme-Event Details:&nbsp;Date: 14 July 2026 (Tuesday) Time: 10:00 AM &ndash; 1:30 PM&nbsp; (Register at 10:00 AM) Venue: 1/F -2/F, Building 10W, Hong Kong Science Park, Shatin (The Golden Egg)-Event Rundown:&nbsp;10:00 AI+ Tech Showcase (Try the Tech Live - Experience groundbreaking AI straight from HKSTP park companies)11:00 Welcome Remarks &amp; Keynote Address | "AI for All" Inclusive Programme Kick-off11:30 The AI Leadership Forum (Real Strategies - Learn from industry leaders to navigate the dynamic I&amp;T landscape)12:00 Meet &amp; Spark (Unlock Your Next Milestones - Connect with founders and talents in a relaxing setting to land your next gig)-SIGN UP NOWIndustry Leaders, Founders, and Innovators Registration Link: <a href="https://2vx.io/Xci40uc" target="_blank" rel="noopener">https://2vx.io/Xci40uc</a>Students, Interns and Professionals Registration Link: <a href="https://2vx.io/DeGV7ct">https://2vx.io/DeGV7ct</a>

Blooming with AI: HKSTP Summer Talent Fest 2026

HKSTP Global Internship 2026

HYAB Youth Start-up Internship Programme (YSIP).

Talent Foundry

<ul><li>Pipeline Robotics Software EngineerCompanyBonbon-X Limited is a robotics technology company specializing in underground pipeline inspection robots. We develop robotic systems for confined-space inspection, real-time visual data acquisition, AI-assisted crack detection, and pipeline condition assessment.PositionPipeline Robotics Software EngineerLocationHong Kong Science ParkEmployment TypeFull-time ContractSalary RangeHK$18,000 – HK$23,000 per month Final package will depend on experience and technical capability.Job Highlights<ul><li>Robotics software development for underground pipeline inspection robots</li><li>Embedded-to-software system integration</li><li>AI crack detection and real-time pipeline monitoring support</li><li>Robot telemetry, inspection data workflow, and reporting system development</li><li>Opportunity to work on real-world infrastructure and government-related robotic applications</li></ul>Key Responsibilities<ul><li>Conduct research on software modules for underground pipeline inspection robotic systems.</li><li>Derive embedded-to-software communication between robot hardware, sensors, cameras, and ground station systems.</li></ul>Integrate robot telemetry data, camera data, sensor data, and inspection records into the ground station or backend system.Work closely with embedded, mechanical, and AI engineers to support robot control, data transmission, and field testing.<ul><li>Manage AI crack detection model development, data collection, labelling workflow, testing, validation, and deployment for real-time pipeline monitoring.</li></ul>Develop internal tools for inspection data management, pipeline defect recording, reporting, and system performance analysis.Support field deployment, debugging, system integration, and R&amp;D validation for pipeline inspection robots.Prepare technical testing records, R&amp;D milestone reports, system validation documents, and project progress documentation.Participate in continuous improvement of the robot software architecture, inspection workflow, and data standardization process. Requirements<ul><li>Degree holder in Computer Engineering, Computer Science, Electronic Engineering, Robotics, Mechanical Engineering, Artificial Intelligence, Data Science, or other related STEM discipline.</li><li>1–3 years of experience in software development, robotics software, embedded systems, AI application, or engineering system integration. Fresh graduates with strong technical capability may also be considered.</li><li>Basic knowledge of Python, C/C++, JavaScript, Node.js, MySQL, or related software development tools.</li><li>Knowledge of robotics systems, embedded systems, computer vision, sensor data processing, or industrial inspection systems is an advantage.</li><li>Experience in robotic systems, pipeline inspection, CCTV inspection, real-time monitoring, or infrastructure defect analysis is preferred.</li><li>Experience in AI crack detection model development, model training, testing, deployment, or validation is a strong advantage.</li><li>Experience with YOLO, CNN, Transformer-based vision models, OpenCV, PyTorch, TensorFlow, or related computer vision frameworks is a plus.</li><li>Knowledge of ROS, SLAM, autonomous navigation, CAN communication, Ethernet communication, sensor fusion, or robot telemetry is an advantage.</li><li>Good documentation, testing, debugging, and problem-solving skills.</li><li>Willing to participate in field testing, robot deployment, and system integration work.</li></ul>Language Requirements<ul><li>Good command of Cantonese, Mandarin and English is preferred.</li><li>Japanese language capability is an advantage, especially for overseas technical communication, supplier liaison, or Japan-related partnership development.</li></ul>Preferred Qualities<ul><li>Strong interest in robotics, infrastructure technology, AI inspection, and real-world engineering applications.</li><li>Able to work with hardware, software, and field operation teams.</li><li>Detail-minded, responsible, and willing to learn new technologies.</li><li>Comfortable working in a startup environment with hands-on engineering tasks.</li></ul>Why Join Bonbon-XAt Bonbon-X, you will work on practical robotics technology for underground infrastructure inspection. Our team develops pipeline inspection robots that help reduce human-entry risk, improve inspection efficiency, and support smart city infrastructure maintenance.</li><li>The candidate will participate in R&amp;D work involving robot software, embedded data communication, AI crack detection workflow, inspection data processing, and field validation.</li><li>Our mission is to reduce the need for human-entry inspection in hazardous underground environments and improve the safety, efficiency, and accuracy of infrastructure inspection.</li></ul>

Pipeline Robotics Software Engineer

Job Responsibilities： Layout Design and Implementation: Responsible for chip floorplanning (including at the TOP level and module level), physical implementation (placement and routing), and comprehensive verification (such as DRC, LVS, DFM) to ensure the design complies with process rules and performance targets. Verification and Optimization: Conduct physical verification, parasitic parameter extraction and post-simulation using EDA tools (e. g. Calibre), optimize the performance of the layout, and compile relevant design documents. Process and Collaboration: Establish and optimize layout design processes and specifications; serve as the project lead layout engineer (TOP Layout), take charge of or be deeply involved in layout planning, and collaborate closely with teams including circuit design, process, and testing to ensure successful tapeout. Data Delivery and Verification: Responsible for or involved in generating the final tapeout data package (GDSII) and completing pre-tapeout data verification (JDV) Qualifications： Academic Background: Bachelor's degree or above, majoring in microelectronics, electronic engineering, materials, physics or other related fields. Professional Skills: Proficient in mainstream layout design tools such as Cadence Virtuoso and Synopsys IC Compiler, as well as physical verification tools including Calibre. Familiarity with semiconductor processes and procedures such as CMOS, BCD, and FinFET, with successful tapeout experience is preferred. Deeply understand the key knowledge of layout design, such as parasitic effects, device matching, signal integrity, ESD, Latch-up and other reliability design contents. Additional Capabilities: Good at XFN communication and coordination, and a strong team player. Those who master scripting languages such as Skill, Python and Perl, and are capable of automation design or Pcell development are preferred. Candidates with experience in complex chip layout design such as digital-analog hybrid, high-voltage or radiofrequency chips are preferred.

IC Layout Engineer

Key Responsibilities： Develop and execute the company’s overall business strategy, commercialisation roadmap and long-term growth plan.Lead the commercialisation of pavement technologies and transform research outcomes into market-ready products and services.Identify and develop business opportunities with government departments, contractors, engineering consultants, property developers and infrastructure operators. Build strategic partnerships with universities. Requirements：PhD degree in Road Engineering or other related fields, with proven leadership and management experience in a start-up or other technology companies.

Chief Executive Officer (CEO)

<ol><li> Key Responsibilities</li></ol>Product Lifecycle Management: Lead the 0-to-1 development of the company's RFID-related software projects/products. Manage the entire product lifecycle, continuously iterate and optimize the product, and enhance its functionality and value.Requirements Analysis &amp; Management: Take charge of product requirement gathering and management, including field research, requirement analysis, prototype design, functional design, overall solution formulation, and customer training.Scope Control &amp; Project Execution: Define and control the scope of product requirements. Oversee project implementation and collaborate with the technical team to accomplish development tasks; coordinate and resolve various issues encountered during the product launch phase.Tech Integration &amp; Productization: Integrate emerging technologies such as IoT, AI, algorithms, computer vision, and blockchain with specific business scenarios. Drive the productization design and practical application of these integrated solutions.Stakeholder Management: Demonstrate strong abilities in requirement assessment, guidance, and scope control. Possess excellent communication and presentation skills, along with a strong team spirit. 2，QualificationsEducation: Bachelor’s degree or above in Computer Science, Electronic Engineering, Communications, Automation, or related fields. (Note: I combined the two separate education requirements from points 1 and 6 into one comprehensive point).Experience: 5+ years of experience in software product design.Soft Skills: Excellent cross-functional communication skills, strong logical thinking, and high execution capability.Work Style: Highly self-driven with a strong sense of ownership. Results-oriented with proven delivery capabilities; able to work independently and handle complex scenarios.Documentation &amp; Tools: Strong logical analysis and technical writing skills, with proficiency in drafting Product Requirement Documents (PRDs). Skilled in UX/UI and interaction design tools such as Visio, Xmind, and Axure.Fieldwork &amp; Adaptability: Strong observation and problem-discovery skills with a hands-on approach. Highly value on-site field investigations and willing to travel frequently or be stationed at client sites for on-site requirement research.

RFID Software Product Engineer

Role OverviewAs a STRELI Data Scientist, you will work at the intersection of data science and control engineering, contributing to the analysis, modelling, and optimisation of real industrial processes. The role focuses on researching and applying data-driven/machine learning-based control and optimisation methods to real-world manufacturing systems/plants. You will work closely with on-site industrial and control engineers, engaging directly with factory operations, process data, and deployed systems. This is a research-driven, hands-on startup role where your work moves beyond models and simulations into real deployments, and offers the opportunity to see advanced optimisation methods translated into measurable operational and sustainability impact.Key Responsibilities<ul><li>Research, develop, and apply AI/ML-based algorithms and optimisation methods (e.g. PID, MPC) for operational and manufacturing performance</li><li>Research and analyse real-world industrial process data to understand system dynamics, stability, and performance</li><li>Research and design data-driven and ML-based optimisation approaches (e.g. optimisation, reinforcement learning) for industrial process modelling and control</li><li>Translate optimisation methodologies into LLM-supported and agentic workflows for industrial process analysis, recommendation, and control support.</li><li>Translate high-level operational objectives (CO2, Energy Reduction, Revenue increase) into actionable control and optimisation strategies</li><li>Collaborate with on-site industrial, control, and software engineers to deploy research outcomes into operational systems/factories</li><li>Develop a strong understanding of diverse industrial processes and produce clear scientific and technical documentation describing models, assumptions, methodologies, and results</li></ul>Requirements<ul><li>Undergraduate degree or higher in Data Science, Engineering, Applied Mathematics, Computer Science, or a related discipline</li><li>2–5 years of relevant experience in industrial data analysis, process/industrial optimisation, control systems, or applied research (PhD research experience counts)</li><li>Experience working with time-series and industrial process data</li><li>Strong foundation in control systems, including PID or MPC strategies, and modelling tools such as MATLAB/Simulink or similar tools.</li><li>Strong programming skills in Python, with experience in deep learning, machine learning, and agentic automation tools such as LangChain, LangGraph, and RAG.</li><li>Ability to design and evaluate models under real-world constraints, including noise, uncertainty, latency, robustness, and safety considerations</li></ul>Strong analytical skills and ability to communicate technical results clearly and collaborate effectively in multidisciplinary teams (English, Mandarin, Cantonese)Why Join STRELI<ul><li>Gain experience in a company that drives industrial sustainability and energy efficiency at scale, as part of a team shaping the next generation of industrial intelligence</li><li>Gain broad exposure across operations and business functions, working closely with major industry partners in a technology-driven environment</li><li>Work closely with a small, dedicated team delivering real-world industrial solutions, with opportunities to learn and make a meaningful impact in industrial intelligence</li><li>Join STRELI at an early stage and grow with the company, taking on real responsibility and helping shape its direction</li></ul>

Data Scientist – Process Control

About the roleThe Senior Software Engineer will support the research, deployment, and lifecycle management of AI-enabled solutions for industrial and manufacturing environments. The role focuses on evaluating emerging AI technologies, developing proof-of-concept solutions, and establishing reliable software deployment, testing, and release processes. The successful candidate will collaborate with multidisciplinary engineering teams to integrate AI and software solutions with industrial equipment while ensuring scalability, reliability, and operational readiness. What you will do<ul><li>Evaluate emerging AI deployment and lifecycle-management technologies, focusing on their suitability for industrial use.</li><li>Develop proof-of-concept implementations to validate selected technologies.</li><li>Establish automated workflows for software/model packaging, version control and release management.</li><li>Develop automated regression, reliability and deployment-verification tests for integrated software releases.</li><li>Implement runtime monitoring, diagnostics and rollback mechanisms, and maintain traceable technical evidence.</li></ul>What you will need<ul><li>Bachelor’s degree or above in Computer Science, Software Engineering, AI, Electronic Engineering or a related discipline.</li><li>Experience in software development, MLOps, DevOps, automated testing or deployment of applications.</li><li>Proficiency in Python / Rust and familiarity with Git, CI/CD pipelines and software testing frameworks.</li><li>Knowledge of machine or industrial-equipment software implementation, including equipment interfacing, machine data handling and integration testing.</li><li>Strong analytical, troubleshooting and technical-documentation skills. </li></ul>

Senior Software Engineer

- Assist in the development and execution of marketing campaigns across various channels (social media, email, content marketing)- Conduct market research to identify trends and insights.- Create engaging content for our social media platforms and website.- Support the team in organizing promotional events and campaigns

Digital Marketing

About the RoleWe are seeking an experienced AI Engineer to manage the design, deployment, and optimization of production-grade language model systems. This role involves building applications using both commercial LLM APIs and self-hosted open-source models, implementing RAG pipelines, and creating end-to-end LLM workflows. The ideal candidate combines practical experience integrating LLM APIs with technical expertise in deploying and optimizing local models.Key Responsibilities<ul><li>Design and implement high-throughput, low-latency serving architectures for LLM applications</li><li>Build and maintain RAG pipelines and end-to-end LLM workflows</li><li>Integrate and optimize commercial LLM APIs (OpenAI, Anthropic, Google, etc.) into production systems</li><li>Develop prompt engineering techniques and prompt management systems</li><li>Deploy and serve local open-source language models for specific use cases</li><li>Optimize local model inference performance through efficient serving frameworks</li><li>Fine-tune models to improve performance on domain-specific tasks (</li><li>Monitor and troubleshoot production LLM systems to ensure reliability</li><li>Research and experiment with emerging models and techniques to improve system capabilities</li><li>Document architectures, best practices, and technical decisions</li><li>Collaborate with engineering teams to integrate LLM capabilities into products</li><li>Communicate technical terms and recommendations to stakeholders</li><li>Build evaluation frameworks to measure model quality, latency, cost, and user satisfaction</li><li>Design intelligent routing and fallback strategies across multiple LLM providers</li><li>Scale LLM services to handle production workloads efficiently</li><li>Implement caching, batching, and request optimization strategies for both APIs and local models</li></ul>Required QualificationsExperience:<ul><li>Solid 2+ years focused on LLM applications or chatbot development (Candidates with more experience will be considered for a senior role.)</li><li>Proven track record of building production LLM applications</li><li>Experience integrating and optimizing commercial LLM APIs</li><li>Hands-on experience deploying local models in production environments</li></ul>Technical Skills:<ul><li>Strong Python programming with emphasis on async/await patterns and production-quality code</li><li>Deep understanding of transformer architectures and LLM fundamentals</li><li>Experience with LLM APIs (OpenAI, Anthropic Claude, Google Gemini, or similar)</li><li>Familiarity with local open-source models (Qwen, Llama, Mistral, or similar)</li><li>Experience with RAG implementation using LlamaIndex, LangChain or similar frameworks</li><li>Proficiency with FastAPI for building high-performance APIs</li><li>Experience with vector databases (Pinecone, Weaviate, Chroma, Milvus, or similar)</li><li>Working knowledge of MongoDB or other NoSQL databases</li><li>Experience with Docker containerization and deployment</li><li>Good to have hands-on fine-tuning experience (LoRA, QLoRA, full fine-tuning)</li><li>Familiarity with local model serving frameworks (vLLM, TGI, or similar)</li><li>Familiarity with LLM workflow tracing and observability frameworks (MLflow, Phoenix, Langfuse, or similar)</li><li>Familiarity with Hugging Face ecosystem and transformer libraries</li><li>Experience with cloud platforms (AWS, GCP, or Azure)</li><li>Proficiency with Git/GitHub and version control workflows</li></ul>Domain Knowledge:<ul><li>Understanding of prompt engineering and optimization techniques</li><li>Knowledge of LLM evaluation metrics and benchmarking methodologies</li><li>Experience with cost optimization for LLM applications</li><li>Familiarity with distributed computing and scaling strategies</li><li>Understanding of LLM inference optimization (quantization, batching, caching)</li></ul>Preferred Qualifications<ul><li>Understanding of digital human technologies and multimodal applications</li><li>Knowledge of MLOps practices and CI/CD for ML systems</li><li>Experience with Kubernetes for container orchestration</li><li>Experience with streaming inference and real-time applications</li><li>Background in function calling and tool use with LLMs</li><li>Familiarity with RLHF (Reinforcement Learning from Human Feedback)</li><li>Experience with model distillation and knowledge compression</li><li>Understanding of distributed training and GPU optimization</li><li>Experience with multi-agent systems and LLM orchestration</li></ul>Soft Skills &amp; Communication<ul><li>Excellent English communication skills (written and verbal)</li><li>Excellent Chinese reading skill</li><li>Ability to explain complex technical concepts to both technical and non-technical audiences</li><li>Strong problem-solving and analytical thinking capabilities</li><li>Self-motivated with ability to work independently and drive projects to completion</li><li>Collaborative team player who thrives in fast-paced environments</li><li>Passion for staying current with rapidly evolving LLM technologies</li><li>Ability to balance research experimentation with production reliability requirements</li></ul>Excited to join us? Press APPLY or email your resume to jobs@pantheonlab.ai with: - The role you're applying for - Your availability - Expected salary We can’t wait to hear from you! NOTE: All personal data is collected for recruitment purposes only.

AI Engineer (LLM/ Chatbot)

Location: Hong Kong SAR (On-site)Employment Type: Part-timeWorking Hours: Approximately 20–30 hours per week, depending on availability.Compensation: Competitive, based on experience and qualifications.Company Description ECOre is building the next generation of AI infrastructure. We develop high-efficiency immersion cooling systems and intelligent infrastructure management solutions that enable AI data centers to operate more sustainably, reliably, and efficiently. As demand for AI computing continues to accelerate, our mission is to help organizations deploy scalable AI infrastructure while reducing energy consumption, operational costs, and environmental impact. Our technologies combine advanced immersion cooling, intelligent monitoring, and infrastructure optimization to support the future of high-performance computing.Role Description As a Technical Business Development Associate (Part-time), you will work directly with ECOre's founding team, customers, strategic partners, and engineering team to accelerate the company's global growth.Your responsibilities include:Identify and develop new business opportunities in AI infrastructure, data centers, cloud computing, and enterprise markets. Build relationships with data center operators, system integrators, distributors, cloud providers, and strategic technology partners. Understand customer requirements and recommend technical solutions that align with their business objectives. Deliver compelling product presentations, demonstrations, and technical discussions to executive and engineering stakeholders. Prepare commercial proposals, quotations, and project documentation. Collaborate closely with engineering and product teams to ensure customer requirements are translated into successful deployments. Manage the sales pipeline from lead generation through contract negotiation and project handover. Represent ECOre at industry conferences, exhibitions, and customer meetings throughout the region. Monitor market trends, competitor activities, and emerging technologies within AI infrastructure and data center ecosystems. Qualifications This role is primarily intended for recent graduates with relevant internship, project, or startup experience.Required: Professional or native-level proficiency in both written and spoken English and Korean is required. Strong interpersonal, presentation, and relationship-building skills. Basic understanding of IT infrastructure, enterprise technology, or cloud computing. Ability to communicate technical concepts clearly to both technical and non-technical audiences. Self-motivated, proactive, and comfortable working in a fast-growing startup environment. Willingness to travel internationally. Preferred: Experience in business development, technical sales, solution consulting, or strategic partnerships. Familiarity with data center infrastructure, AI infrastructure, GPU clusters, liquid/immersion cooling, or enterprise hardware. Experience working with B2B technology customers or channel partners. Knowledge of the AI ecosystem, cloud infrastructure, or high-performance computing (HPC). Experience in Southeast Asia or other international markets. Why Join ECOre? Work directly with the founders of a fast-growing AI infrastructure startup. Gain hands-on experience in global business development and strategic partnerships. Participate in customer meetings, international exhibitions, and industry events. Learn about AI infrastructure, immersion cooling, and next-generation data centers. Build a network across the global AI and data center ecosystem.

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