Total 6 tech support job vacancies in Hong Kong

Data Engineer

Roles &Responsibilities

We are seeking Data Engineer to establish and lead our data infrastructure. The successful candidate will be responsible for building our data engineering practice from the ground up, implementing robust data systems for industrial AI applications, and establishing best practices that will power our semiconductor manufacturing AI solutions.

About Innowave Tech Singapore

Innowave Tech is an Artificial Intelligence (AI) company offering solutions for the Semiconductor and Advanced Manufacturing industry. Utilizing deep industrial domain knowledge, proven experience, and innovation, we provide expert AI solutions and systems to address various industry pain points.

CLT Programme Overview

This role is part of a structured Company-Led Training (CLT) Programme designed to accelerate capability development in data engineering, AI, and industrial data applications.

Selected candidates will undergo structured On-the-Job Training (OJT), supported by real-world projects, mentorship, and targeted training courses. Participants will gain hands-on experience in building data infrastructure, developing ETL pipelines, managing industrial datasets, and supporting AI/ML and LLM applications within advanced manufacturing environments.

This programme equips participants with practical skills in data governance, data platforms, and secure deployment practices to support industrial AI solutions in the semiconductor and advanced manufacturing industries.

Your Role and Impact

As our Data Engineer, you will have a foundational role in building robust data infrastructure to handle manufacturing data and LLM applications, while establishing secure data practices that power our AI solutions for advanced manufacturing operations.

What You’ll Do

1.      Select and manage on-premises technologies suitable for secure and efficient operations.

2.      Build robust pipelines to collect, clean, and transform diverse datasets including process data, sensor data, image data, and human annotations.

3.      Ensure secure, maintainable, and scalable deployment of data infrastructure.

4.      Define and enforce best practices in data governance, privacy, and access control.

5.     Collaboration & Deployment.

What We’re Looking For

* Educational Background:

·      Minimum Poly or Bachelor Degree in Computer Science, Engineering, or a related field.

·      Only Singaporean, Singapore PR can apply due to project requirements.

* Technical Expertise:

• 3+ years of experience in data engineering roles, ideally with on-premises or hybrid infrastructure.
• Proven track record of building scalable data systems from ground up in a startup environment.
• Proficiency in Python and/or Java for data pipeline development.
• Solid experience with ETL frameworks (e.g., Apache Airflow, Dagster) and streaming systems (e.g., Kafka).
• Experience designing and maintaining SQL and NoSQL databases.
• Experience building and operating data lakes and data catalog.
• Familiarity with containerization (Docker), version control (Git), and CI/CD practices.

* Soft Skills:

• Excellent communication skills and ability to collaborate with cross-functional technical and non-technical teams.
• Excellent problem-solving and debugging abilities.
• Ability to balance engineering tradeoffs.

* Bonus Skills:

• Experience with manufacturing data systems, especially SPC, SCADA, and industrial sensor protocols (e.g., OPC UA, MQTT, Modbus).
• Familiarity with AI/ML pipelines and tools (e.g., ML flow).
• Knowledge in vector databases and LLM data infrastructure.
• Prior experience working in or with regulated industries (e.g., semiconductor, automotive, aerospace).

INNOWAVE TECH: MANUFACTURING SIMPLIFIED

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

Job Description:

We are looking for a highly motivated and detail-oriented Finance Intern. This internship will provide hands-on experience in financial analysis, budgeting, reporting, and other key areas of finance, giving you the opportunity to enhance your skills and build your career in the financial sector.

Key Responsibilities:

• Assist in preparing financial reports, statements, and budgets.

• Conduct financial analysis, including variance analysis and financial modeling.

• Help with the preparation and reconciliation of accounts.

• Support the month-end and year-end close processes.

• Assist in data entry and maintain accurate financial records.

• Assist in preparing presentations for internal stakeholders.

• Research and analyze financial data to support decision-making processes.

• Support the team with ad-hoc financial projects and tasks.

• Monitor and track expenses and assist in forecasting future costs.

• Help with audit preparation and compliance documentation.

Requirements / Qualifications:

• Pursuing a degree in Finance, Accounting, Economics, or related field.

• Basic knowledge of accounting principles and financial statements.

• Familiarity with accounting software (e.g., QuickBooks, SAP) is a plus.

• Strong analytical, organizational, and problem-solving skills.

• Proficient in Microsoft Office, especially Excel (knowledge of financial modeling is a plus).

• Excellent written and verbal communication skills.

• Ability to manage multiple tasks and meet deadlines.

• A proactive, detail-oriented approach with a passion for learning.

• Past related experience in finance or accounting such as out-of-school experiences like prior internships will make your application stand out.

• Self-motivated, detail-oriented, and able to work both independently and collaboratively.

• Ability to multitask and manage priorities in a fast-paced environment.

• Internship duration should be around 6 to 12 months full time.

• Resume should indicate your forecasted internship dates.

Outcome of Technical Skills and Competencies that Intern will learn:

• To be exposed to real-world financial operations and analysis.

• To be able to solve problems methodically.

• To learn how to manage his time to handle complex projects within the deadline.

• To collaborate and work with other stakeholders effectively to meet project goals and deadlines (to be a team player)

Screening questions:

• The intended internship period will be during your course of study?

• Are you a student pursuing Accounting related disciplines?

• Are you able to commit for more than 3 months?

About Innowave Tech

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

Position Overview

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

Key Responsibilities

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

Technical Skills

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

Qualification

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

About Innowave Tech Singapore

We build AI-driven automation software for semiconductor and advanced-manufacturing industries. Our strength lies in deep industrial domain expertise combined with cutting-edge AI and software engineering to solve complex factory problems.

Your Mission

You’re not here to just write code—you’re here to think deeply, attack challenges from all angles, and deliver elegant, high-impact solutions using any technology necessary. You’ll own end-to-end design, development, and deployment of intelligent automation systems that move the needle in semiconductor fabs.

What You’ll Do

• Deep Problem Solving & Architecture

– Proactively break down ambiguous manufacturing problems and propose multiple technical approaches.

– Architect modular, scalable solutions that can adapt to evolving shop-floor requirements.

– Keep algorithmic considerations in mind and collaborate closely with data scientists and computer-vision engineers to integrate advanced analytics or control logic as needed.

• Core Development

– Mastery in Python (3.x), leveraging frameworks/tech like asyncio, multithreading, and functional programming.

– Build clean, well-documented code with strong OOP and design-pattern best practices.

• System Integration & Deployment

– Interface with industrial equipment (via REST, Websocket, MQTT or custom protocols) .

– Containerize with Docker; collaborate on Git for reliable releases.

• AI & Automation Tools

– (Optionally) Integrate or fine-tune LLMs and agentic AI agents to automate complex decision workflows.

– Develop retrieval-augmented systems, effective prompt strategies, or rule-based fallbacks as needed.

• Quality & Testing

– Create exhaustive unit/integration tests and simulation environments to validate automation logic.

– Troubleshoot production issues with clear root-cause analyses and corrective solutions.

What We’re Looking For

Must-Have

1. Deep Thinker & Problem Solver – You thrive in uncertainty, ask the tough questions, and drive solutions through to completion.

2. Python & Tech Stack Mastery – At least 3 years professional experience in Python, plus familiarity with related ecosystems (e.g. Git, Docker, RPA tools).

3. Collaborative Analytical Mindset – You understand the basics of data processing and computer vision workflows, and can partner effectively with data-science or CV teams to bring algorithmic components into production.

Nice-to-Have

1. Hands-on experience in semiconductor or industrial automation environments.
2. Knowledge of virtualization/KVM, RPA frameworks, or real-time control systems.
3. Exposure to AI/ML frameworks (TensorFlow, PyTorch) or LLM fine-tuning.
4. Background in regulated environments.

Education and Background Requirements

• At least Bachelor’s degree Computer Scienc, Software Engineering, Information Technology or any related fields.
• Minimum 3 years of hands-on experience in software development, primarily using Python.

Why You’ll Love Working Here

· High-Impact Projects: Tackle real factory challenges that directly improve yield and throughput.

· Autonomy & Ownership: You call the shots on technology choices—no micromanagement.

· Collaborative Culture: Work alongside AI researchers, automation engineers, and fab experts.

· Growth & Leadership: Clear pathways from individual contributor to technical lead or architect roles.

Ready to Transform the Future?

Join us to lead innovation in automation and shape the future of smart manufacturing! We look forward to welcoming individuals who are passionate, proactive, and ready to make a difference. Apply today!

About Innowave Tech

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

Roles & Responsibilities

As an Engineer, you will be involved in:

• Studying & understanding the Specifications of Customer requirements / needs
• Customer on-site assessment and troubleshooting
• Brainstorming proposals to address customer requirements / needs
• Sourcing / selecting compatible components for the proposed design
• Preparation of estimated budget for the proposed design
• Conduct of Design Review sessions
• Detailing of Design with GT&T, Material Selection, Heat Treatment & Finishing
• Preparation of Bill of Material (Fabrication) & (Commercial)
• Preparation of Assembly & Pneumatic Drawings
• Assisting in assembly & troubleshooting of Sub-Modules
• Testing & Troubleshooting of Equipment
• Assist in Buyoff of Equipment
• Preparation of Operation Manual
• Fundamental Project Management

Desired Skill Sets

• Diploma/Degree in Mechatronics, Mechanical or Electronics Engineering
• Min. 2 to 3 years experience in Automation / Semiconductor sector
• Able to understand electrical & pneumatic circuitry drawing
• Experience in field service engineering is a requirement
• Experienced in wiring and soldering
• Experience in basic circuitry design is a plus
• Leadership and project management skills
• Knowledge in Programming & Embedded system (eg. Arduino, Python, C++, C#, RPI, etc)
• Knowledge in Drafting & Simulation software (AutoCAD, NanoCAD, Fusion360, SolidWorks, etc) is a plus

About Innowave Tech

Innowave Tech is a Singapore-headquartered AI company specialising in the semiconductor and advanced manufacturing industry. Our flagship products — ZeroDefect (AI-powered defect detection), Autopilot (drag-and-drop workflow automation), and iWave Insight (LLM-powered analytics) — help leading fabs and manufacturers achieve higher yields, faster cycle times, and smarter decision making.

With offices in Singapore, Malaysia, Wuxi (China), and Dresden (Germany), we work alongside global clients including tier-1 IDMs, foundries, and OSATs. We are growing rapidly across all our locations and are looking for top talent to join our expanding team.

Role Overview

The Forward Deployment Engineer (FDE) is a critical bridge between advanced AI capabilities and real-world industrial deployment. This role works at the intersection of customer needs, domain expertise, and product evolution—ensuring AI solutions deliver measurable outcomes in production environments.

FDEs translate complex manufacturing challenges into deployable AI workflows, enabling scalable, high-impact transformation across factories.

Key Responsibilities 

1. Customer-Facing Deployment & Execution

• Lead on-site or remote deployment of AI solutions in industrial environments (semiconductor, advanced manufacturing, etc.)

• Translate customer requirements into practical system configurations and AI workflows

• Drive end-to-end implementation: integration, validation, and optimization

2. Problem Solving & Solution Design

• Diagnose complex production and system challenges using data, domain knowledge, and engineering principles

• Rapidly find the solutions or communicate the problem through internal system to product or Development team for the problem fix

• Ensure solutions are robust, scalable, and aligned with real production constraints

3. Bridge Product & Reality

• Act as the feedback loop between customers and product teams

• Convert deployment insights into product improvements, new features, and reusable modules

• Contribute to building standardized, scalable deployment frameworks

4. Cross-Functional Collaboration

• Work closely with AI engineers, product managers, and domain experts

• Communicate effectively with customer stakeholders across engineering, operations, and management levels

Required Qualifications

• Must be legally eligible to work in Malaysia / Singapore without the need for a work pass or visa sponsorship.

• We welcome fresh graduates or junior candidates with 1-2 years of related experience. Intensive short-term training will be provided to help you master our industrial AI workflows.

1. Technical & Domain Background

• Degree in Computer Engineering, Computer Science, Electrical Engineering, or related fields

• Strong understanding of industrial systems, manufacturing processes, or equipment data environments

• Experience with system integration, data pipelines, or edge/cloud deployment is a strong advantage

1. Core Capabilities

• Strong problem-solving ability in complex, real-world environments

• Fast learner with the ability to adapt to new domains and technologies quickly

• Hands-on mindset with a bias toward execution and outcome

1. Communication & Leadership

• Good communication skills—able to translate between technical teams and business stakeholders

• Comfortable working directly with customers in high-stakes environments

• Ability to influence and align cross-functional teams

1. AI & Data (Preferred)

• Exposure to AI/ML concepts, data analytics, or industrial AI applications

• Experience with deploying or operationalizing AI models is a plus

Working Conditions

• Hybrid or on-site work depending on business needs.

• Ability to travel and support regional project development and deployment.

What We Offer

• A high-impact role at the intersection of AI and semiconductor manufacturing — one of the world’s most critical industries.

• Opportunity to grow with a fast-scaling company with regional presence across Asia and Europe.

• Exposure to cutting-edge AI technologies (LLMs, computer vision, agentic automation) without needing to be a deep technical specialist.

• Collaborative, engineering-driven culture where your contributions are visible and valued.

• Competitive compensation package with performance-based bonuses.