Total 7 process engineer job vacancies in Information Technology category in Batu Kawan

We are looking for a curious and motivated Junior Data Management Engineer with foundational experience in machine learning, Computer Vision and GenAI  to join our growing data team. This role is perfect for someone early in their career who is eager to contribute to data engineering tasks while gaining hands-on exposure to machine learning workflows. You'll help ensure data pipelines are optimized for analytics and ML model development, supporting both operational and strategic decision-making. 

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Work with multiple stakeholders to identify, diagnose and resolve manufacturing process related problems such as quality excursions, manufacturing excellence and cost improvement. 
• Apply computer vision algorithms to inspect production lines for defects, improve yield, and enhance overall quality control. Leverage techniques such as object detection, image segmentation, and defect localization to identify issues early in the manufacturing process. 
• Build, train, and validate machine learning models to address complex manufacturing challenges, such as defect detection, process optimization, and performance prediction. 
• Able  to deploy trained models into production environments, including APIs, edge devices, or embedded systems. Ensure seamless integration with manufacturing systems and establish real-time monitoring for model performance. 
• Design and develop scalable GenAI applications using LLMs tailored to manufacturing use cases.

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.

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

ESSENTIAL DUTIES AND RESPONSIBILITIES: 

• Perform data mining and analytics for Quality Assurance (QA) in semiconductor Assembly & Testing processes
• Understand QA business workflows (e.g., SPC, 8D, defect management) and translate business needs into scalable data solutions
• Design and develop end-to-end data pipelines, including data ingestion, transformation, modeling, and visualization
• Develop analytical methods such as anomaly detection, trend analysis, and predictive modeling to enhance quality control
• Drive the transformation of quality management from manual processes to automated and intelligent systems
• Develop dashboards, reports, and automated QA-related business applications
• Collaborate with IT, data teams, and business stakeholders to integrate data platforms with operational systems
• Explore and implement AI/GenAI use cases in quality engineering, such as intelligent insights and automated reporting

Join our exciting team as a Data Engineer with the following job scope:

• Architect and implement data solutions on our large-scale data platform Hadoop using PySpark.
• Write complex and efficient SQL queries to extract and transform data from various sources.
• Design, build, and maintain scalable and reliable data pipelines using tools like Apache Airflow and Kafka.
• Develop and optimize data processing jobs on the Microsoft Azure cloud platform, leveraging services such as Azure Data Lake, Databricks, and Azure Data Factory.
• Collaborate with data analysts and other stakeholders to understand data requirements and deliver high-quality data products.
• Ensure data quality and integrity across all systems.
• Monitor, troubleshoot, and optimize the performance of our data infrastructure.
• Stay up-to-date with the latest trends and technologies in the Big Data space.

AGEO 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 in the US.

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

What you'll do:

• Develop embedded firmware for custom ECUs and IoT devices used in vehicle platforms - from initial hardware bring-up through production deployment
• Write device drivers and integration layers for sensors and communication modules including GNSS receivers, LoRa/LoRaWAN modules, cellular modems, CAN/J1939 buses, etc.
• Build and maintain ROS2-based applications running on embedded Linux platforms, including containerized workloads and OTA update pipelines
• Collaborate closely with hardware engineers during schematic review, PCB bring-up, and hardware-software co-debugging on custom designs
• Define and maintain firmware architecture, interface specifications, and test procedures to ensure reliability, robustness, and maintainability in harsh field environments
• Lead improvements to CI/CD pipelines, automated testing, and release processes for embedded firmware

What we're looking for (Requirements):

• Strong C/C++ for embedded systems (bare metal, RTOS, and embedded Linux)
• Experience designing and maintaining production-grade embedded firmware with real hardware constraints
• Experience deploying containerized applications (Docker or equivalent)
• Experience working with embedded interfaces and buses: I2C, SPI, UART, CAN/CAN FD
• Experience with network protocols such as TCP/IP, UDP, HTTP, MQTT
• Experience with LoRa/LoRaWAN or other wireless communication protocols
• Proficiency using hardware debug and validation tools (logic analyzers, oscilloscopes, multimeter, etc.)
• Ability to read schematics, interpret IC datasheets, and work effectively at the hardware-software boundary
• Solid Git workflow for collaborative development and code review
• Good communication skills
• 4+ years of embedded software development experience

Education and Experience:

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

Nice to Have (Bonus):

• Experience with ROS2, including node architecture, and sensor integration, and system bring-up
• GNSS (RTCM, PPP, RTK) application knowledge and field deployment experience
• Python programming experience
• Unit testing and CI/CD experience
• RTOS expertise (QNX, Ubuntu RT, FreeRTOS, ZephyrRTOS) and Linux for edge compute (driver bring up and scheduling/timing)
• UML/SysML experience

• 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

ESSENTIAL DUTIES AND RESPONSIBILITIES:

We’re hiring a Sr. Operational Technology Security Engineer (OT) to manage Sandisk’s OT visibility and resilience program across high‑technology manufacturing sites. You’ll stand up and mature our OT monitoring solution, integrate telemetry into our SIEM, and partner with factory operations to ensure security without disrupting production.

This role owns engineering, delivery, and ongoing operations of OT security—bridging engineering, manufacturing, and the SOC—so that Sandisk maintains continuous production with zero downtime due to internal cybersecurity incidents.

• Program Partnership: Assist in defining and executing the OT security roadmap, aligning with corporate cybersecurity strategy and manufacturing uptime objectives.
• OT Monitoring Deployment: Manage installation and configuration of OT monitoring platforms such as Nozomi Networks, Claroty, Dragos, Armis, ensuring proper sensor placement for maximum visibility.
• Traffic Analysis & Protocol Coverage: Implement tools for deep packet inspection and protocol analysis (e.g., Wireshark, Zeek, Suricata) to monitor Modbus, Profinet, DNP3, OPC-UA, and other industrial protocols.
• SIEM Integration: Collaborate with SOC and architecture teams to stream OT telemetry into SIEM/SOAR platforms, develop detection logic, and optimize alerting to reduce false positives.
• Asset & Risk Management: Establish and maintain a comprehensive OT asset inventory, vulnerability management process, and configuration baselines for critical systems.
• Network Segmentation & Access Control: Participate in segmentation projects, firewall rule reviews, and identity separation between IT and OT environments; implement secure remote vendor access protocols.
• Incident Response & Resilience: Participate in creating OT-specific incident response playbooks, conduct tabletop exercises, and ensure disaster recovery plans meet manufacturing continuity requirements.
• Compliance & Standards: Ensure adherence to NIST CSF, IEC 62443, and corporate security policies; prepare for internal and external audits.
• Cross-Functional Collaboration: Work closely with onsite IT teams and Manufacturing leadership to schedule changes, minimize production impact, and jointly achieve zero-downtime objectives.
• Metrics & Reporting: Manage KPIs (e.g., telemetry coverage, MTTR, segmentation compliance) and deliver executive-level reporting on OT security posture.