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

Key Responsibilities<ul><li>Handle PCB design and layout for hardware products</li><li>Design multi-layer and high-density boards; manage high-speed signals and power integrity</li><li>Lead EMC / EMI design and remediation</li><li>Collaborate with structural, hardware, and process teams on PCB prototyping and board bring-up</li><li>Produce Gerber files, stencil files, and manufacturing documentation</li></ul>Requirements<ul><li>Bachelor's or above in Electronic Engineering, Communications, Automation, or related fields</li><li>Proficient in Altium Designer or Cadence Allegro</li><li>Experience with 4+ layer multi-layer board design</li><li>Understanding of high-speed signal and EMC design principles</li><li>Hardware debugging experience; able to use oscilloscopes and other instruments</li><li>Eligible under Hong Kong RTH subsidy</li></ul>Preferred Qualifications<ul><li>Experience with HDI or flex PCB design</li><li>Experience with CE / FCC certification</li></ul>

PCB Design Engineer

As a Senior Data Scientist at TAU Intelligence, you will work closely with the whole R&amp;D team to design, build, and deploy LLM-based AI solutions into production. You will bridge the gap between cutting-edge AI research and real-world enterprise applications, developing models and algorithms that directly power our aligned AI products. What You'll Do:<ul><li>Contribute to the development of our foundational AI platform, building capabilities such as ingestion, search, relevance matching, thematic analysis, and visual model search</li><li>Design, implement, and optimize LLM-based solutions and machine learning models that run on and extend the platform</li><li>Write clean, maintainable, and well-documented code; participate in code review and architectural design of both platform and application components</li><li>Analyze large-scale datasets to identify trends, extract insights, and inform platform development and model iteration</li><li>Partner with data engineers to build scalable data pipelines and optimize LLM inference performance, latency, and cost</li><li>Create dashboards and visualizations to communicate findings effectively to stakeholders</li><li>Serve as a key technical point of contact for client syncs and issue resolution</li><li>Contribute to technical documentation, proposals, and functional specifications</li><li>Participate in brainstorming and problem-solving discussions to identify data-driven solutions to business challenges</li><li>Evaluate, monitor, and continuously improve model performance, accuracy, and alignment in production</li><li>Stay current with advances in LLMs and AI research; proactively identify, prototype, and champion new techniques for integration into the platform</li></ul>

Senior Data Scientist

As a Large Model Algorithm Engineer, you will focus on the technical research and development of Large Language Models (LLMs) and multimodal large models, driving their application in industrial vertical domains. You will participate in core processes such as model training, optimization, and inference deployment while collaborating with top university research teams to explore cutting-edge technologies and improve model performance and efficiency.Key Responsibilities<ul><li>Responsible for training, fine-tuning (SFT), and system deployment of vertical domain large models, promoting efficient application of large models in industrial environments.</li><li>Research and implement compression and optimization techniques for large models, including pruning, quantization, and knowledge distillation, to improve inference efficiency and deployment performance.</li><li>Participate in the algorithm design and development of RAG (Retrieval-Augmented Generation) and Agent modules to enhance reasoning capabilities in dynamic and complex environments.</li><li>Research and apply multimodal understanding technologies to optimize the application of Large Vision Models (LVM) in industrial vision and other fields.</li><li>Translate business rules into efficient workflow code and participate in the design and implementation of Agentic Workflow to enhance workflow intelligence.</li><li>Build industry datasets to support large model training and applications, including data preprocessing, pretraining data construction, and training/application/evaluation dataset setup.</li><li>Research and implement large model merging techniques, exploring collaborative optimization solutions for multiple models.</li><li>Develop and maintain validation, evaluation, and performance monitoring processes for large models to ensure system stability and usability.</li><li>Participate in the development and optimization of large model application platforms (microservices) to enhance system modularity and usability.</li></ul>Qualifications<ul><li>Master’s degree or higher in Mathematics, Electrical Engineering, Computer Science, Data Science, or a related field is preferred.</li><li>Proficient in machine learning, deep learning, and Transformer architecture, with hands-on experience in end-to-end training and development of large models.</li><li>Familiar with large model compression and optimization methods such as pruning, quantization, and knowledge distillation.</li><li>Strong capabilities in large-scale data processing and familiarity with big data tools (e.g., Hadoop, Spark), with experience in data preprocessing, cleaning, and building training datasets.</li><li>Skilled in Python, C/C++, and Linux programming, with a solid foundation in algorithms and data structures.</li><li>Familiar with mainstream large model training and inference frameworks such as PyTorch, Hugging Face (HF), DeepSpeed, PEFT, vLLM, TRL, etc.</li><li>Knowledge of Triton or other high-performance inference tools, with experience in applying model optimization to real-world deployments.</li><li>Proficient in Docker and Linux shell scripting; experience with FastAPI development is a plus.</li><li>Experience in enterprise-level large model development, optimization, deployment, and tool development is preferred.</li><li>Strong teamwork and communication skills, capable of collaborating with cross-domain teams.</li><li>Passionate about cutting-edge large model technologies and their applications in industrial vertical domains.</li></ul>Bonus Points<ul><li>Experience in RAG systems and Agent module development and optimization.</li><li>Familiarity with CUDA programming, distributed computing, or related high-performance computing technologies.</li><li>Publications in top-tier conferences (e.g., NeurIPS, ICLR, CVPR).</li><li>Knowledge of hardware acceleration technologies (e.g., GPU, TPU) and their applications in model optimization.</li></ul>

LLM Engineer (Data and Optimization)

Role OverviewWe are building truly SOTA (State-of-the-Art) video generation foundation models and world models. You will join an elite, lean engineering team spanning across four major areas: B2B/B2C product full-stack development, AI training data platforms, domain-specific big data infrastructure, and frontend engineering. You will be responsible for end-to-end delivery of core business modules—designing, developing, and continuously optimizing our production systems, model training data infrastructure, and cloud architecture to ensure high availability and reliability. What You Will Do<ul><li data-zone-id="0" data-line-index="4" data-line="true">Microservices Backend: Design and develop core microservices for our video generation platform, covering user management, video task scheduling, billing/credits, payments, API gateways, and content processing pipelines. Maintain sharded high-concurrency MySQL architectures and Kafka asynchronous task streams, ensuring production stability leveraging K8s/EKS and ES/Kibana observability systems.</li><li data-zone-id="0" data-line-index="5" data-line="true">AI Training Data Platform: Build high-performance data engines for our video foundation model team, managing the full lifecycle of training data processing and dataset version releases. Work closely with the algorithm team to directly drive model iteration efficiency.</li><li data-zone-id="0" data-line-index="6" data-line="true">Big Data Lakehouse: Build and evolve our big data infrastructure, including data warehousing, Spark offline computing, Trino/Athena interactive querying, and BI dashboards (Superset).</li><li data-zone-id="0" data-line-index="7" data-line="true">Frontend Engineering: Use React + TypeScript to build and iterate user interfaces across B2B/B2C products, internal data platforms, and operational tools—including data dashboards/visualizations, multi-dimensional filtering and exploration, video previews, human QC interfaces, and task orchestration workbenches.</li><li data-zone-id="0" data-line-index="8" data-line="true">Ambiguity to Execution: Independently own the end-to-end lifecycle from problem definition → solution design → cross-team alignment → development &amp; deployment → data validation, taking full accountability for delivery outcomes. </li></ul>What We Expect From YouBasic Qualifications<ul><li data-zone-id="0" data-line-index="2" data-line="true">Bachelor’s degree or above in Computer Science, Software Engineering, Telecommunications, or related fields; 3+ years of backend or full-stack software development experience.</li><li data-zone-id="0" data-line-index="3" data-line="true">Proficient in at least one of the following languages: Java, Python, or Go.</li><li data-zone-id="0" data-line-index="4" data-line="true">Production Microservices Architecture: Hands-on experience with service decomposition, API design, database sharding, message queues (Kafka / RocketMQ), caching (Redis / Memcached), distributed transactions, idempotency design, and Docker + Kubernetes deployment/ops, backed by a proven track record of building scalable distributed systems.</li><li data-zone-id="0" data-line-index="5" data-line="true">Frontend Capabilities: Solid engineering skills in React + TypeScript, familiar with state management, build toolchains (Vite / Webpack), component-driven design, and frontend performance optimization (e.g., virtual scrolling for large-scale data tables/lists, video streaming integration). Able to deliver full-stack features independently. Experience with visualization tools like ECharts / AntV is a plus.</li><li data-zone-id="0" data-line-index="6" data-line="true">Big Data &amp; Data Warehousing: Familiar with Spark, Kafka, CDC sync, data lake tech (at least one of Hudi / Iceberg / Delta Lake), and OLAP engines (Trino / Presto / Athena / ClickHouse, etc.), with experience handling datasets at the hundred-million scale or above.</li><li data-zone-id="0" data-line-index="7" data-line="true">Cloud Infrastructure: Proficient in at least two major cloud platforms (AWS, Alibaba Cloud, Tencent Cloud) using services such as EKS/ACK, RDS, S3/OSS/COS, MSK, EMR, etc. Multi-cloud or cross-cloud architecture experience is preferred.</li><li data-zone-id="0" data-line-index="8" data-line="true">Strong Ownership &amp; Problem-Solving: Ability to break down ambiguous requirements without predefined playbooks, deliver high-quality solutions, and proactively validate data correctness rather than settling for code that "just runs."</li></ul>Preferred Qualifications<ul><li data-zone-id="0" data-line-index="11" data-line="true">AI/ML Engineering Experience: Hands-on experience in ML data pipelines, feature/sample engineering, dataset management, inference serving, or deep involvement in core engineering infrastructure for Large Models (LLMs / Diffusion Models / Video Generation).</li><li data-zone-id="0" data-line-index="12" data-line="true">Experience in web scraping/data acquisition, copyright compliance, data licensing management, or building data annotation and human audit platforms.</li><li data-zone-id="0" data-line-index="13" data-line="true">Proficiency with AI coding tools (Cursor, Claude, Copilot, etc.) to significantly boost personal productivity, supported by your own workflows.</li><li data-zone-id="0" data-line-index="14" data-line="true">Track record of building internal platforms/middle-platforms from scratch (0-to-1), or backend experience with high-concurrency B2C products (1M+ DAU).</li><li data-zone-id="0" data-line-index="15" data-line="true">Comprehensive experience in CI/CD practices.</li><li data-zone-id="0" data-line-index="16" data-line="true">Bilingual proficiency: Strong written and verbal communication skills in English (our team is geographically distributed with cross-border collaboration).</li></ul>

Full Stack Engineer

Send CV to hr@akerf.com​Daily Administrative Reception​<ul><li>Send and receive emails; receive visitors; arrange meetings</li><li>Dispatch and receive couriers and mail; manage office supplies and equipment</li><li>Maintain office environment; coordinate with logistics suppliers</li></ul> Documentation &amp; Archives​<ul><li>Format, print, scan, and archive documents in Chinese (Simplified &amp; Traditional) and English</li><li>Compile meeting minutes; file contracts and government correspondence</li><li>Register seal usage; manage document filing</li></ul> HR-Related Tasks​<ul><li>Process employee onboarding and offboarding</li><li>Handle employee MPF account filings, including enrollment and termination</li><li>Assist in employer tax return filing; answer basic Employment Ordinance inquiries</li></ul> Financial Support​<ul><li>Collect and verify employee travel expense reimbursement claims</li><li>Record petty cash transactions; organize bills and submit to accounting</li></ul> Hong Kong Company Compliance Support​<ul><li>Receive and dispatch documents from the Companies Registry, Inland Revenue Department, and MPFA</li><li>Remind of annual returns and Business Registration renewal; coordinate with company secretary to compile materials</li></ul>Business &amp; Other Duties​<ul><li>Communicate with clients and suppliers via email in both Chinese and English</li><li>Coordinate logistics for meetings, team-building events, and exhibitions</li><li>Arrange cross-border document/sample shipping; handle ad hoc tasks assigned by management</li></ul> 一、日常行政接待<ul><li>收发电子邮件；接待访客；安排会议</li><li>收发快递、信件；管理办公用品及办公设备</li><li>维护办公环境；协调后勤供应商</li></ul>二、文书档案<ul><li>对简体中文、繁体中文及英文文件进行排版、打印、扫描及归档</li><li>整理会议纪要；归档合同及政府信函</li><li>登记印章使用；管理文件档案</li></ul>三、人事相关<ul><li>办理员工入职及离职手续</li><li>处理员工强积金账户申报，包括新增及注销</li><li>协助进行雇主报税；解答基础《雇佣条例》相关问题</li></ul>四、财务辅助<ul><li>收集及核对员工差旅报销单据</li><li>登记零用现金；整理各类账单并提交至会计部门</li></ul>五、香港公司合规辅助<ul><li>收发公司注册处、税务局及积金局文件</li><li>提醒周年申报及商业登记证续期；配合公司秘书整理相关资料</li></ul>六、商务及其他<ul><li>以中英文邮件与客户及供应商沟通</li><li>协调会议、团建活动及展会的后勤筹备</li><li>安排跨境文件/样品寄送；处理管理层交办的临时事务</li></ul>

General administrative staff

Key Responsibilities<ul><li data-list="bullet">Embedded Software Development: Responsible for the development, iteration, and maintenance of embedded software for smart controllers based on MCU series such as STM32, NXP, and Infineon.</li><li data-list="bullet">Driver &amp; Application Development: Complete the development and debugging of low-level drivers and various peripheral interface drivers (including CAN, UART, SPI, I2C, PWM, ADC, USB, etc.) to implement upper-layer application logic.</li><li data-list="bullet">Hardware-Software Co-design: Participate in hardware selection and hardware-software co-debugging; collaborate with hardware engineers to complete board bring-up, functional validation, and system integration testing.</li><li data-list="bullet">Linux Driver Development: Independently complete Linux kernel driver development, porting, and maintenance based on project requirements.</li><li data-list="bullet">Technical Documentation: Produce comprehensive technical documentation, including software design schemes, development documents, unit test reports, and mass-production testing specifications.</li><li data-list="bullet">Product Lifecycle Support: Track the entire process of prototype testing and mass production; locate and resolve various software issues such as bugs, compatibility bugs, and stability issues.</li><li data-list="bullet">Code &amp; Version Control: Use Git/SVN for code version control, standardize code submission and review processes, and continuously optimize code architecture and runtime efficiency.</li><li data-list="bullet">Cross-Functional Collaboration: Coordinate requirements with product, testing, and production teams, provide technical solutions, and support on-time project delivery.</li></ul>Requirements<ul><li data-list="bullet">Education: Bachelor’s degree or above in Electronic Information, Automation, Computer Science, or related fields.</li><li data-list="bullet">Experience: 3+ years of experience in embedded software development.</li><li data-list="bullet">Programming Skills: Proficient in C/C++ for embedded development with disciplined coding habits; familiar with common code optimization and memory management techniques.</li><li data-list="bullet">MCU Expertise: Highly proficient in STM32 MCU development (experience with Cortex-M4 or Cortex-M7 is highly preferred); adept at using Standard/HAL libraries, and capable of independently setting up and developing projects using Keil MDK and STM32CubeMX.</li><li data-list="bullet">Peripheral Communication: Expert-level knowledge of communications and peripheral drivers, including CAN, UART, SPI, I2C, PWM, ADC, USB, MIPI, RGB displays, and motor drives; proven experience in developing peripheral drivers from scratch.</li><li data-list="bullet">RTOS Experience: Practical, hands-on project experience with at least one RTOS (e.g., FreeRTOS, RT-Thread, or uCOS), with a deep understanding of task scheduling, semaphores, message queues, and mutexes.</li><li data-list="bullet">Multi-Platform Development:<ul><li data-list="bullet">Experience in developing and debugging with NXP (i.MX RT, LPC series) or Infineon (TriCore, AURIX series) MCUs.</li><li data-list="bullet">Experience in Linux kernel driver development, with proficiency in character device drivers, device tree configuration, interrupts, and platform drivers.</li></ul></li><li data-list="bullet">Preferred Qualifications:<ul><li data-list="bullet">Full lifecycle project experience in robotics or medical/nursing device products is highly preferred.</li><li data-list="bullet">Familiarity with Git/SVN version control, with practical experience in code reviews, unit testing, and automated testing deployment.</li></ul></li></ul>

Embedded Software Engineer

Responsibilities:<ul><li>Design computational model experiments and analyze results for Numerical Weather Prediction (NWP), Chemical Transport Models (CTM) and source apportionment tools;</li><li>Construct and update emission inventories based on available datasets;</li><li>Incorporate data assimilation and statistical methods to enhance model accuracy;</li><li>Visualize model outputs interactively for evaluation of atmospheric conditions;</li><li>Operate various atmospheric model simulations for weather and air quality forecasting, analysis and related applications;</li><li>Support the development and deployment of weather and air quality-related products / projects;</li><li>Support routine operations of forecasting systems as well as the underlying HPC / IT infrastructures.</li></ul>Requirements:<ul><li>Master’s degree or above in Earth System Science, Physics or related disciplines, or Bachelor’s degree in the above disciplines and 1 years of working experience;</li><li>Strong background in computer programming skills;</li><li>Experience with computational environments (Linux/Unix), computer languages (Python, Fortran, etc.), and plotting and analysis tools (Python libraries: Numpy, xarray, matplotlib/Pyviz etc.) usually used for atmospheric modelling. Knowledge of GIS, C++, JavaScript or databases would be preferable;</li><li>Good understanding of atmospheric dynamics, numerical weather prediction models (WRF, MPAS), chemical transport models (CMAQ, CAMX), emission inventory tools (SMOKE) or data assimilation would be an advantage;</li><li>Candidate with higher academic qualification and/or more related experience may be considered as Senior Computational Scientist;</li><li>Good logical thinking and analytical mind;</li><li>Eager to learn, responsive with a can-do attitude at work;</li><li>Willing to take up challenges;</li><li>Team player, proactive in idea sharing with good communication skills;</li><li>Good spoken and written Mandarin and/or English.</li></ul>

Computational Scientist / Senior Computational Scientist (ES-OPER)

HK $18K-23K/ month Bachelor Degree in Computer Science or related subjects, 0-3 years experience.Details:Join MaritimoX: R&amp;D Engineer - Next-Gen Network ControlMaritimoX Limited, a leader in software-defined connectivity with our maritimetechnology, is aggressively expanding our R&amp;D capabilities. We are seeking aruthless, results-driven R&amp;D Engineer to develop the core intelligence of our next-generation network control platforms. This is a critical role responsible for shapingthe future of secure, high-performance connectivity in the 5G.The Opportunity: Develop the Core Network ControllerYou will be responsible for the design, development, and optimization of our networkcontrol plane—the central management—which manages and optimizes our 5Gnetwork overlays across sea (5G, 4G, satellite). The successful candidate willtransition the network from concept to commercial reality, ensuring scalability,security, and superior performance for our enterprise and operator clients.Key Concept: The central management platform for our SD-WAN solution.Key Responsibilities<ul><li>Network Controller Development: Assist and implement high-performance, fault-tolerant network controller software and logic.</li><li>System Integration: Integrate core controller functions with our maritime CPEs (mainly the PCB boards) and cloud-based management systems.</li><li>Requirement Translation: Work closely with the business and product teams to translate complex customer needs from the Telecom, maritime sectors into robust, scalable engineering specifications.</li></ul>Essential Candidate ProfileTechnical Qualifications &amp; Experience:<ul><li>Education: Bachelor’s degree or higher in Computer Science, Electronic Engineering, Telecommunications, or a related technical field.</li><li>Experience: A minimum of 1 years of hands-on R&amp;D experience in software development for networking or telecommunications products.</li><li>Domain Expertise: Proven experience in one or more of the following critical fields: Software-Defined Networking (SDN), SD-WAN, Network Function Virtualization (NFV), 5G/LTE core or access network development, IoT platforms, or Smart City infrastructure.</li></ul>Preferred Attributes:<ul><li>Experience gained at a large telecom vendor (e.g., Huawei, ZTE, Ericsson, Cisco, Juniper) or a Tier-1/2 telecom operator is highly preferred.</li><li>Demonstrated ability to understand customer pain points and translate them into product features and technical requirements.</li></ul>Location &amp; Culture<ul><li>Location: Hong Kong Science Park, New Territories.</li><li>Culture: Join a team of seasoned experts from top-tier technology companies in a high-growth, innovation-focused environment. We move fast, expect excellence, and reward impact.</li></ul>

R&D engineer

Application programming, program management, user support, and system training duties.Testing, maintaining and monitoring computer programs and systems, ensuring system operates in conformance with specifications. Revising existing programs to increase operating efficiency, Developing, documenting and reviewing system design procedures, Training the system.

Where Talent Meets Opportunity