Total 5 Information Technology job vacancies in Batu Kawan, Pulau Pinang

Duties and Responsibilities: 

• Lead detailed intake meetings with hiring managers to determine position specifications, providing relevant market data and recommendations.
• Collaborate with internal stakeholders and departments to develop and manage recruitment marketing and sourcing strategies.
• Evaluate candidate profiles against position requirements and deliver strong candidate slates while building talent pipelines.
• Keep candidates engaged throughout the process with timely updates on their progress.
• Partner with hiring leaders to determine offer details, using market data and compensation guidelines to support recommendations.

The Automation & Analytics team is seeking a highly motivated Software & AI Platform Engineer to help drive the next generation of intelligent factory solutions. In this role, you will contribute to the design, development, and evolution of in-house digital platforms that power automation, analytics, and AI-driven operations across semiconductor manufacturing environments.

Beyond traditional software and data engineering, this role focuses on enabling AI capabilities within operational platforms, including intelligent agents, real-time analytics, workflow automation, computer vision, and AI-assisted decision support. You will work closely with cross-functional engineering, manufacturing, automation, and operations teams to build scalable systems that support the Factory of the Future vision.

This position is ideal for individuals passionate about software engineering, AI systems, industrial digitalization, and building impactful technologies that bridge manufacturing operations with advanced analytics and generative AI.

ESSENTIAL DUTIES AND RESPONSIBILITIES: 

• Design, develop, and maintain scalable software platforms supporting factory automation, analytics, and AI applications.
• Build and optimize data pipelines, APIs, and backend services for structured and unstructured manufacturing data.
• Contribute to the integration of AI capabilities into operational platforms, including machine learning, generative AI, intelligent agents, and workflow automation.
• Collaborate with cross-functional stakeholders including engineering, manufacturing, automation, IT, and operations teams to deliver end-to-end digital solutions.
• Develop solutions that support real-time data processing, event-driven architectures, and streaming analytics environments.
• Participate in the development of AI-enabled applications such as conversational assistants, recommendation systems, anomaly detection, computer vision, or predictive analytics solutions.
• Ensure system reliability, scalability, data quality, and security through monitoring, testing, and documentation.
• Support platform interoperability through APIs, microservices, and integration frameworks.
• Contribute to software architecture discussions, technical roadmaps, and continuous improvement initiatives.
• Stay current with emerging technologies in AI, cloud-native systems, industrial automation, and software engineering best practices.

• Manage and implement continuous improvement (CIP) initiatives for warehouse systems to enhance efficiency, accuracy, and productivity.
• Support system-related improvement projects, including process optimization and automation (System CIP).
• Provide hardware support for warehouse operations, including troubleshooting scanners, printers, and related devices (BST Projects).
• Ensure smooth daily warehouse system operations, including monitoring system performance and resolving issues promptly.
• Coordinate with cross-functional teams (IT & operations) to support system enhancements and issue resolution.
• Perform root cause analysis for system or process failures and implement corrective actions.
• Support SAP/warehouse system transactions, data accuracy, and inventory integrity.
• Maintain proper documentation for system processes, changes, and improvements.
• Train and guide users on system usage and best practices when required.

AGEO (ALA Engineering) is a leading innovator in automation technology, specializing in solutions for heavy-duty operations. We develop cutting-edge embedded systems to support industrial vehicles in the most demanding real-world environments.

We are looking for Senior Embedded Software Engineer to take technical ownership of custom embedded products that power autonomous and connected vehicle platforms. In this role, you will work across the full lifecycle, from early hardware bring-up and firmware architecture through field deployment and fleet management, playing a key role in shaping the future of AGEO's autonomous systems.

Exact role will be determined based on experience.

What you'll do:

• Design, develop, and maintain production-grade embedded firmware for safety-critical ECUs
• Architect and implement real-time systems using RTOS
• Enforce deterministic execution, interrupt handling discipline, and timing guarantees
• Take ownership of embedded products - stabilizing existing codebases, driving new feature development, and maintaining long-term reliability across deployed fleets
• Lead board bring-up activities, including hardware validation, driver development, and system initialization
• Collaborate closely with hardware engineers on schematic reviews, PCB bring-up, and co-debugging
• Establish best practices for code quality, testing, and maintainability

What we're looking for (Requirements):

• Strong expertise in C/C++ for embedded systems
• Experience in RTOS-based development (FreeRTOS, Zephy, or equivalent)
• Solid understanding of
• Interrupts, DMA, timers, and low-level drivers
• Deterministic real-time behavior
• Memory management in constrained embedded systems
• Experience with I2C, SPI, UART, CAN/CAN-FD
• Experience with Ethernet-based communication (TCP/IP, UDP, MQTT)
• Experience working with cellular communication modules and modem integration (AT command interfaces, network bring-up, connection management)
• Proficiency using hardware debug and validation tools - logic analyzers, oscilloscopes, multimeter
• Ability to read schematics, interpret IC datasheets, and work effectively at the hardware-software boundary
• Solid Git workflow for collaborative development practices
• Minimum 4+ years of embedded software development experience

Nice to Have (Bonus):

• Experience with embedded Linux systems such as Buildroot, Yocto
• Exposure to ROS2
• GNSS (RTCM, PPP, RTK) application knowledge
• LoRa/LoRaWAN or similar wireless radio communication experience
• System modeling (UML/SysML) experience

Education and Experience:

• B.S. degree or higher in Computer Engineering, Electrical Engineering, or equivalent

• Competitive salary commensurate with experience
• Flexible working hours
• Paid holidays, sick leave, annual leave
• Medical and insurance coverage
• EPF, SOCSO, EIS contributions in accordance with Malaysian statutory requirements

We are looking for a motivated Fresh Graduate to support our factory’s digital transformation initiatives. This role focuses on data analysis, dashboard development, and digital process improvement within manufacturing operations. The candidate will work closely with senior engineers and project leads to develop digital tools, automate reporting, and improve operational visibility. This position offers structured learning exposure in manufacturing analytics, automation, and cross-functional collaboration.

ESSENTIAL DUTIES AND RESPONSIBLITIES:

• Support development of dashboards and automated reports for production KPIs (UPH, OEE, Yield, Downtime).
• Assist in collecting, cleaning, and validating production data from multiple systems.
• Support automation of manual reporting processes using Excel, Power Automate, or similar tools.
• Perform data analysis to identify trends and highlight improvement opportunities.
• Assist in system testing, documentation, and user training materials for digital tools.
• Support project tracking activities (update status, follow up on action items).
• Participate in cross-functional meetings to understand manufacturing requirements.
• Contribute to continuous improvement initiatives using data-driven methods.