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

HKSTP Global Internship 2026

HYAB Youth Start-up Internship Programme (YSIP)

“AI for All” Inclusive Programme - Talent Foundry

Duties • Candidate will be part of core design team carrying the task to deliver the next generationsuper high-speed data IC for home networking, • Candidate is responsible for SoC integration and verification. • Travel may be required if necessary. Requirements • Bachelor degree or above in Electronic Engineering. • Good understanding of SoC, architectures, methodologies and related tools. • Good understanding of microprocessors, and computer system architecture. • Good understanding of IPs, integration and verification. • Good programming in Perl, TCL and Shell programming. • Familiar with Ethernet, USB, MCU (ARM core), I2C, MDIO, usage and protocols. • Team spirit and strong communication skills. • Enjoy challenging work and a Self-motivated good team player. • Candidate with more solid experiences will be considered for a senior position

Junior/ Senior ASIC Design Engineer

About the RoleWe are developing next-generation NPUs and computing systems with large-model inference as a primary application, and are looking for a senior architect with technical depth and a systems perspective to drive hardware architecture innovation, frontier technology exploration, and validation of key technical solutions.This role is centered on hardware architecture and requires combined hardware/software knowledge and analytical capability — understanding the execution characteristics of large models, compilers, and runtimes, and translating them into design and optimization decisions across chips, memory, interconnect, and complete systems. Strong emphasis is also placed on performance, energy efficiency, cost efficiency, and engineering feasibility under domestic process and supply-chain conditions.We welcome technical experts with deep expertise in at least one of the following areas — NPU chips, high-speed interconnect, or complete systems — and with a cross-domain perspective.Key Responsibilities<ol><li>Hardware architecture exploration for large-model inference. Research NPU compute architecture, memory hierarchy, data movement, and interconnect mechanisms around the requirements of large-model inference, and propose innovative ideas, architecture improvements, and alternative solutions with product value.</li><li>Workload analysis and hardware-software co-design. Analyze the compute, memory-access, and communication characteristics of representative models in stages such as Prefill and Decode; combined with operator mapping, compiler scheduling, runtime, and communication libraries, identify hardware bottlenecks and optimize resource allocation and hardware-software interfaces.</li><li>Focused research on key hardware technologies. Based on individual expertise, lead research and solution design in one or more of the following directions:</li></ol><ul><li>NPU and SoC architecture: compute units, memory hierarchy, NoC, memory controllers, host interfaces, and related IP.</li><li>Advanced packaging and memory: chiplet, 2.5D/3D packaging, stacked memory, and die-to-die interconnect.</li><li>Boards and multi-card interconnect: PCIe accelerator cards, OAM modules, inter-card interconnect, system topology, and communication mechanisms.</li><li>Systems and supernodes: multi-accelerator servers, rack-scale systems, and supernodes, balancing compute, interconnect, power, cooling, and mechanical constraints.</li></ul><ol><li>Domestic process adaptation and engineering feasibility. Evaluate constraints such as die area, frequency, power, yield, and interface capabilities against the maturity of domestic wafer fabrication, memory, packaging, substrate, and IP capabilities, and explore architecture implementation paths suited to the domestic supply chain.</li><li>Performance and cost-efficiency optimization. Under target model, precision, and service-latency requirements, evaluate effective throughput, energy efficiency, and multi-card scaling efficiency; factoring in manufacturing, packaging, testing, memory, board, and system costs, optimize inference capability per unit cost and total cost of ownership (TCO).</li><li>Modeling, validation, and results delivery. Quantitatively compare the benefits and risks of candidate solutions through performance modeling, simulation, prototype verification, and sample testing; collaborate with chip, packaging, hardware, and software teams to move research outcomes into product design. Qualifications· Bachelor's degree or above in Microelectronics, Computer Science, Electronic Engineering, Communications, or a related field, with extensive hardware R&amp;D experience and experience in architecture design, technology research, or complex system development.· Chip direction: NPU or high-performance computing chips, with solid knowledge of compute units, memory hierarchy, on-chip interconnect, SoC integration, and related IP.· Hardware-software co-design knowledge that underpins hardware architecture design — understanding how models and operators are mapped to hardware through compilers and runtimes, and the ability to work with software teams to analyze performance issues and translate them into hardware requirements and design trade-offs.· A cross-layer systems perspective, able to understand the dependencies among chips, packaging, boards, interconnect, and complete systems. Expert-level depth in every direction is not required.· Understanding of domestic semiconductor process and supply-chain conditions, able to incorporate manufacturing, IP, packaging, and production constraints into solution evaluation.Preferred Qualifications· Architecture design experience with NPU chips or computing systems for large-model inference.· A proven track record of improving hardware utilization, inference performance, or deployment cost through hardware-software co-design.· Experience developing PCIe/OAM boards, multi-GPU servers, liquid-cooled racks, or supernodes.· Experience in joint development with foundries, packaging houses, IP vendors, or system manufacturers.The OpportunityThis role explores hardware innovation for next-generation NPU and computing systems grounded in the real-world needs of large-model inference, combining frontier technology with domestic engineering conditions to deliver product solutions with performance advantages, cost competitiveness, and mass-production viability. Specific research directions can be tailored to the candidate’s expertise.</li><li>· Experience in hardware performance modeling, system simulation, FPGA prototyping, or cost modeling.</li><li>· Project experience with chiplet, advanced packaging, stacked memory, UCIe, or multi-card high-speed interconnect.</li><li>· Experience in chip design, tape-out, mass production, or system productization based on domestic processes.</li><li>· Ability to conduct independent research on focused topics, track frontier technologies, propose new ideas, and validate technical judgments through modeling, data, and experiments.</li><li>· Strong cost awareness and engineering judgment, able to make sound trade-offs among performance, power, cost, development cycle, and supply-chain availability.</li><li>· Familiarity with the key characteristics of large-model inference, including Attention, MoE, low-precision computation, KV cache, Prefill/Decode, and model parallelism, and the ability to analyze their demands on compute, memory, and communication resources.</li><li>· Interconnect direction: high-speed SerDes, die-to-die, PCIe, dedicated inter-card interconnect, or RDMA networks, with an in-depth understanding of how topology, bandwidth, latency, and communication efficiency impact system performance.</li><li>· In-depth architecture design capability and hands-on project experience in at least one of the following areas:</li></ol>

Senior Architect (GPU/NPU Frontier Technology & System Innovation)

- Possesses a Bachelor/ Master degree or above in Science, Engineering, Technology or STEM-related discipline. - Conducts in-depth researches on the technological innovations within the digitalized experience domain, focusing on the applications in the fields of rehabilitation, healthcare and educational technologies. - Analyzes data and trends in the field to stay updated on the latest advancements for further technology innovation and improvement opportunities. - Drive innovations by exploring new ideas, technologies, and methodologies that can positively impact digitalized experiences in rehabilitation, healthcare, and education. - Contributes to the development of new technologies or the adaptation of existing technologies for use in rehabilitation, healthcare, and educational settings. - Collaborates and works closely with interdisciplinary teams, including researchers, engineers, professionals and domain experts, to develop and implement technology-driven solutions. - Implements research projects with deliverables achieved and archived in the reports, research papers, and presentations to communicate and update the stakeholders in the academic and professional community. - Evaluate the effectiveness of existing technologies and propose enhancements or new solutions in the digitalized experience domain. - Ensure the quality and reliability of research data and outcomes through rigorous testing, validation, and adherence to best practices-

Researcher (Digitalization, Innovation and Technology)

FinTech Algorithm EngineerDeepstone Tech📍 Hong Kong SAR ｜ On-site ｜ Full-timeTags:Cryptography · Rust · C++ · Optimization · Machine LearningJob Vacancy DetailsFinTech Algorithm EngineerThe successful candidate will join the core algorithm team at Deepstone Tech and, under the guidance of senior engineers, help build the critical algorithms and systems that power our fintech products — spanning high-performance computing, optimization modeling, machine learning, and applied cryptography.Key Responsibilities<ul data-markdown-list="unordered" data-streamdown="unordered-list"><li data-streamdown="list-item">Participate in the design, development, and optimization of core financial algorithms, including pricing models, risk measurement, and portfolio optimization</li><li data-streamdown="list-item">Assist in building and maintaining machine learning models (market signals, anomaly detection, predictive modeling) and deploying them to production</li><li data-streamdown="list-item">Develop production-grade system components in Rust or C++, with opportunities to learn profiling and performance tuning</li><li data-streamdown="list-item">Take part in code reviews and technical discussions, working closely with senior engineers and researchers to grow into a well-rounded algorithm engineer</li><li data-streamdown="list-item">Track emerging developments in academia and industry and explore their potential application in our products</li></ul>RequirementsWe are seeking a high-potential candidate with the following profile:<ul data-markdown-list="unordered" data-streamdown="unordered-list"><li data-streamdown="list-item">Bachelor's degree or above in Computer Science, Mathematics, Applied Mathematics, Operations Research, Cryptography, Financial Engineering, or a related discipline</li><li data-streamdown="list-item">1–3 years of experience in algorithm development, software engineering, or a related field (outstanding fresh graduates are also welcome to apply)</li><li data-streamdown="list-item">Proficiency ineither Rust or C++— one of the two is sufficient</li><li data-streamdown="list-item">A solid foundation inat least oneof the following areas (no need to master all):<ul data-markdown-list="unordered" data-streamdown="unordered-list"><li data-streamdown="list-item">Cryptography— symmetric/asymmetric encryption, hash functions, digital signatures, or a strong interest in ZKP/MPC</li><li data-streamdown="list-item">Optimization— linear/quadratic programming, convex optimization, numerical methods, or hands-on experience with any solver</li><li data-streamdown="list-item">Machine Learning— end-to-end project experience, proficiency in PyTorch or TensorFlow</li></ul></li><li data-streamdown="list-item">Good written and verbal communication skills in both English and Chinese</li><li data-streamdown="list-item">Strong curiosity, a growth mindset, and the ability to deliver independently under senior guidance</li></ul>Office Location: Hong Kong Science Park, Shatin，19WRemuneration:A monthly salary of approximately HK$28,000 – HK$32,000, commensurate with qualifications and experience, plus annual bonus, medical insurance, and learning support.Application:Interested parties please send a full resume todeepstonetech@gmail.com. Applications will be processed on a rolling basis. Only shortlisted candidates will be notified.Data collected will be used for recruitment purpose only.

FinTech Algorithm Engineer

Responsibilities: ● Work closely with other team members and vendors in various stages of the application development lifecycle. ● Participate in preparing technical specifications on system design, development, system integration, testing and deployment of applications ● Support various testing activities including system test, integration test and user acceptance test. Job Requirement: ● Bachelor’s degree in Computer Science, Information Technology, or a related discipline ● Minimum 3 years of hands-on experience in system design and software development ●Proficient in modern programming languages such as Java, JavaScript, Python, or C#, and familiar with frameworks like Express.js, NestJS, etc ● Solid understanding of web technologies including HTML, CSS, and JavaScript ● Experience with front-end frameworks such as React.js, Vue.js, or Next.js ● Good knowledge of SQL and NoSQL databases, with experience using ORM tools like Sequelize, TypeORM, or Prisma. ● Prior experience in blockchain or Web3 projects is highly preferred ● Experience in mobile app development (iOS/Android) is a strong advantage ● Familiarity with Docker and cloud deployment platforms (e.g., AWS, Azure, GCP) ● Comfortable working with development tools such as GitLab / GitHub, Jenkins, and Jira ● Proficient in spoken and written Chinese, English, and Mandarin ● Excellent problem-solving skills and effective communication abilities ● A collaborative team player with a proactive work attitude ● Genuine interest in blockchain, Web3 technologies, and emerging digital markets

Software Engineer (Full Stack)

Job Duties:l Research and develop computational methods and software tools for exploring EDA applications in biochip and biotechnology-related fields.l Process and analyse large-scale biological and engineering datasets, including data preprocessing, feature extraction and computational analysis. l Develop and optimise computational methods and analytical approaches for bio-EDA applications.l Collaborate with software developers and technical teams to integrate computational methods and analytical functions into software products.工作职责：l 研究和開發用於探索EDA在生物晶片及生物科技相關領域應用的計算方法和軟體工具。l 對大規模生物及工程數據進行處理和分析，包括數據預處理、特徵提取和計算分析。l 開發及優化用於生物EDA應用的計算方法和分析方法。l 與軟體開發人員及技術團隊合作，將計算方法及分析功能整合至軟體產品。

Bio-EDA Algorithm Engineer

KASMA.AI 啟思碼是一家 AI + Data公司，專注構建數據智能的 AI 基礎設施。我們開發的 OFNIL EDU 校本 AI 教學平台結合「學、教、評」於一體，一個平台涵蓋中小學幾乎所有科目，並為每所學校建立專屬的校本 AI 知識庫。我們現誠聘一位熟悉本地學界、具備實戰銷售經驗的業務發展經理，負責開拓及深耕本地中小學市場。工作職責<ul><li>開拓本地中小學客戶，由接觸、演示、試用安排以至簽約，全程負責</li><li>向校長、副校長、科主任及前線教師進行產品演示及方案介紹</li><li>因應學校的校本課程、科目組合及教學需要，提出合適的應用方案</li><li>統籌試用計劃及教師培訓工作坊，協助學校順利推行</li><li>長期跟進已簽約學校，維繫關係，爭取續約及科目擴展</li><li>掌握學校的財政預算周期及採購流程，配合教育局及優質教育基金等資助計劃的申請時間表</li><li>出席教育界展覽、研討會及分享會，建立公司在學界的認受性</li><li>收集前線意見並回饋產品團隊，協助優化平台功能</li><li>建立並維護客戶資料及銷售管道紀錄，定期匯報業務進度</li></ul>入職要求必要條件<ul><li>熟悉本地小學核心科目及熱門 DSE 選修科的課程綱要，能與科主任及教師就課程內容作專業對話</li><li>與本地學校、校長及教師有良好人脈；具備向多間學校銷售教育產品（尤其是軟件或電子學習方案）的豐富經驗者優先</li><li>廣東話為母語水平，英語及普通話溝通能力良好，能獨立主持銷售演示、完成交易，並與客戶建立長期緊密關係</li><li>具備誠信及專業操守，明白學校環境對學生資料私隱及保護兒童的要求</li></ul>優先條件<ul><li>曾於本地中小學接受教育，或對香港中小學教育體制有深入認識</li><li>熟悉人工智能在教育上的應用，對 AI 教學工具有實際使用經驗</li><li>具備教學經驗、教育行政經驗，或曾任職出版社、教育科技公司、電子學習供應商</li><li>認識教育局資助計劃、優質教育基金及學校採購指引的運作</li><li>能適應初創企業的工作節奏，主動、靈活、願意親身走訪學校</li></ul>待遇<ul><li>具競爭力的基本薪金，另設極具吸引力的佣金制度</li><li>表現優秀者可獲晉升及擴大團隊的機會</li><li>辦公地點：香港科學園（需按業務需要到訪全港各區學校）</li></ul>申請方法請將履歷連同期望薪酬，電郵至 join@kasma.ai，主旨註明「應徵：業務發展經理」。如有過往銷售業績紀錄（例如簽約學校數目、達標情況），歡迎一併提供。所有申請資料絕對保密，只作招聘用途。本公司為平等機會僱主。 Business Development Manager — Education TechnologyKasma International (HK) Limited · Hong Kong Science Park · Full Time/Part TimeAbout UsKASMA.AI is an AI + Data company specializing in building AI infrastructures for data intelligence. Our OFNIL EDU School-based AI Teaching and Learning Platform brings learning, teaching and assessment together in one place, covering almost every primary and secondary school subject, with a dedicated school-specific AI knowledge base built for each school.We are looking for a Business Development Manager with genuine standing in the local education sector and a proven sales record, to open up and grow our primary and secondary school business in Hong Kong.Responsibilities<ul><li>Develop local primary and secondary school accounts end to end — from first contact and product demonstration through trial arrangements to signed agreement</li><li>Deliver product demonstrations and solution briefings to principals, vice-principals, panel heads and frontline teachers</li><li>Propose suitable deployment approaches based on each school's curriculum, subject mix and teaching needs</li><li>Coordinate trial programmes and teacher training workshops to support smooth rollout</li><li>Maintain long-term relationships with signed schools, securing renewals and subject expansion</li><li>Work to schools' budget cycles and procurement processes, aligning with the timelines of Education Bureau and Quality Education Fund funding schemes</li><li>Represent the company at education exhibitions, seminars and sharing sessions</li><li>Gather frontline feedback and channel it to the product team</li><li>Maintain accurate customer records and pipeline reporting</li></ul> RequirementsEssential<ul><li>Familiarity with the syllabuses of core primary school subjects and popular DSE elective subjects, sufficient to hold a professional conversation with panel heads and teachers about curriculum content</li><li>Strong existing connections with local schools, principals and teachers; extensive experience selling education products — particularly software or e-learning solutions — to multiple schools is a significant advantage</li><li>Cantonese at native level, with good English and Mandarin communication skills; able to lead sales presentations independently, close deals, and build lasting client relationships</li><li>Integrity and professional conduct, with an understanding of what the school environment requires in terms of student data privacy and child protection</li></ul>Preferred<ul><li>Educated in local Hong Kong primary and secondary schools, or with a thorough understanding of the Hong Kong school system</li><li>Knowledge of AI applications in education, with hands-on experience of AI teaching tools</li><li>Background in teaching, school administration, educational publishing, EdTech or e-learning supply</li><li>Familiarity with Education Bureau funding schemes, the Quality Education Fund, and school procurement guidelines</li><li>Comfortable with the pace of an early-stage company: self-directed, adaptable, and willing to be on the road visiting schools</li></ul> Remuneration<ul><li>Competitive base salary plus a highly attractive</li><li>Progression and team-building opportunities for strong performers</li><li>Location: Hong Kong Science Park, with regular travel to schools across Hong Kong</li></ul> How to ApplyPlease email your CV and expected salary to join@kasma.ai with the subject line "Application: Business Development Manager". Where available, please include a record of past sales performance (for example, number of schools signed, quota attainment).All information received will be kept strictly confidential and used for recruitment purposes only.Kasma International (HK) Limited is an equal opportunity employer.

業務發展經理（教育科技）

Innovate with Cutting-Edge Technologies!Are you a hands-on electronics enthusiast with a passion for building innovative systems? Do you thrive on turning ideas into working prototypes? If so, we want you to join our team!Key Responsibilities:<ul data-tight="true"><li>Design and develop hardware systems, from proof-of-concept to production-ready</li><li>Work with a variety of electronics components, including microcontrollers, sensors, and communication modules</li><li>Integrate hardware with software and network components</li><li>Collaborate with cross-functional teams on innovative projects</li></ul>Must-Have Skills and Experience:<ul data-tight="true"><li>Solid foundation in electronics and electrical engineering principles</li><li>Experience with embedded systems design and development</li><li>Proficiency in programming languages commonly used in hardware development (e.g., C, C++, Python)</li><li>Familiarity with communication protocols and interfaces (e.g., UART, SPI, I2C, Ethernet)</li><li>Experience with data acquisition and sensor integration</li><li>Knowledge of cloud computing platforms and IoT technologies</li><li>Ability to work with human-machine interfaces and user experience design</li></ul>Nice-to-Have:<ul data-tight="true"><li>Experience with specific hardware platforms (e.g. Raspberry Pi, STM32, NVIDIA Jetson)</li><li>Familiarity with edge computing, AI, and machine vision technologies</li><li>Knowledge of industrial automation and control systems</li><li>Experience with product development and manufacturing processes</li><li>Familiarity with drone technology or robotics</li><li>Soft skills such as problem-solving, teamwork, and communication</li></ul>If you're ready to bring your hardware expertise to life and push the boundaries of what's possible, we want to hear from you! Apply now and let's build something amazing together!

Senior Hardware Design Engineer

We are seeking an experienced AI engineer or data/computational scientist to lead our AI Solution Team, driving strategic technical direction, cross-industry client deliverables, and high-performing team growth. In this role, you will bridge the gap between complex mathematical research and robust, scalable enterprise AI architectures while managing end-to-end project execution and mentoring a multidisciplinary team. Responsibilities • Lead, mentor, and expand the AI Solution Team, cultivating a culture of technical excellence and collaborative innovation. • Scope, architect, and manage complex client projects from discovery to production deployment, ensuring on-time delivery aligned with business objectives. • Design and oversee the implementation of enterprise-grade AI systems, multi-modal pipelines (text, image, etc.), and advanced agentic architectures. • Serve as the primary technical partner for executive stakeholders, translating business challenges into computational and statistical solutions. • Establish best practices for MLOps, code quality, model evaluation, and cross-functional workflows across data engineering and product development. Requirements • Master’s degree or Ph.D. in Computer Science, Applied Mathematics, Engineering, or a related quantitative discipline. • At least 10 years of professional experience in applied AI, Data Science, or Computational Science. • Proven track record in technical team management and delivering enterprise AI solutions. • Advanced proficiency in Python, algorithm design, data structures, and mathematical modeling. • Demonstrated experience with LLM orchestration, agentic programming, and productionizing multi-modal AI systems. • Deep understanding of statistical analysis, data engineering paradigms, and enterprise SQL/NoSQL database architectures. • Humble, accountable, and proactive leadership style with strong strategic problem-solving skills. • Fluent in both English and Chinese with exceptional communication and stakeholder management capabilities

Where Talent Meets Opportunity