Total 13 Civil Engineer job vacancies in Batu Kawan

Job Scope :

• Assist in project planning, scheduling, and execution, ensuring alignment with approved project plans.
• Monitor and track site progress, ensuring timely completion and compliance with project timelines.
• Coordinate and liaise with site teams, subcontractors, consultants, and clients to resolve project-related issues.
• Conduct site inspections and quality control checks using QAQC procedures to ensure compliance with specifications and standards.
• Manage technical documentation, drawings, and reports, ensuring accuracy and proper version control.
• Provide technical solutions and support to resolve design or construction challenges.
• Ensure compliance with safety regulations and company policies at all times.

Perks & Benefits

• Commission and bonus
• Allowance (travel stipends, transportation, etc.)
• Regular team activities
• Open culture
• Personal development opportunities

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.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Responsible on execution and analysis of NAND memory reliability qual and perform Failure Analysis.
• Designing and developing reliability sequences for given technology node in addition to performing actual reliability test execution followed by Failure Analysis to root cause the issues reported.
• Some of the other areas that this position will include will be: R&D support, DPPM improvement, test documentation, comprehension of design manuals and data sheets, using various bench equipment (oscilloscopes, logic analyzers, multimeter), and interacting with other engineering groups.

Role Overview

This role is not about running tests. It is about understanding what the data means, why it behaves that way, and how to measure it better. You will work at the intersection of physics, electronics, and software, developing measurement solutions and extracting insight from complex data to support MEMS sensor development and production. This role is for you if you are comfortable writing code, interpreting data, and critically questioning measurement results.

Key Responsibilities

Characterization & Data Analysis

• Analyze large, datasets from MEMS characterisation and production
• Identify correlations, drifts, and non-obvious effects across multiple parameters
• Separate real physical effects from measurement artefacts
• Develop automated analysis workflows (Python / C# / similar)

Measurement Technology Development

• Design, build, and improve lab measurement setups (electrical, thermal, mechanical domains)
• Define measurement strategies for new product concepts and production methods
• Debug and extend internally developed measurement software (C++ / C#)
• Improve measurement robustness, repeatability, and throughput

Root Cause & Physical Understanding

• Drive root-cause analysis using data, experiments, and physical reasoning
• Work closely with product and process engineers to explain observed behavior
• Challenge unclear or inconsistent results

Method Validation & Lab Enablement

• Validate new test methods before production introduction
• Define limitations, accuracy, and uncertainty of measurement methods
• Document and standardize solutions for cross-site usage

Collaboration

• Work across disciplines: device physics, electronics, software, and production
• Collaborate with international teams and contribute to global MT alignment

We are seeking an experienced and proactive Senior Cyber Security Engineer to join our Global Cyber Security Operations team. This role requires an experienced security professional responsible for executing and supporting cybersecurity operations globally but with a focus on our manufacturing facility. This role has a primary focus on global insider risk management and data loss prevention (DLP), while also providing hands‑on operational support for local manufacturing risks. You will work closely with our Security Operations Center (SOC), incident response teams, and other IT stakeholders to stay ahead of emerging threats and ensure we’re able to build great products securely.

ESSENTIAL DUTIES AND RESPONSIBILITIES: 

Insider Risk Management & Data Protection

• Assist in the management and configuration of Sandisk governance controls related to data security
• Execute day‑to‑day operations of insider risk management and data security controls using Microsoft Purview, MIP, IRM, and DLP technologies.
• Monitor, triage, and investigate insider risk alerts and data loss events using Microsoft Purview, Microsoft Defender, and SIEM tooling, following defined procedures and escalation paths.
• Conduct detailed analysis and documentation of insider risk and data protection incidents, including evidence handling and recommended follow‑up actions.
• Support tuning and refinement of DLP and insider risk policies to improve signal quality and reduce false positives, in coordination with platform owners and senior analysts.

Endpoint Detection, Response & Manufacturing Security

• Perform hands‑on monitoring, investigation, and response activities using Microsoft Defender for Endpoint and CrowdStrike Falcon in an enterprise environment.
• Investigate endpoint‑based alerts affecting manufacturing office systems, engineering workstations, and privileged users, correlating activity across EDR, identity, and data signals.
• Support incident response efforts impacting the manufacturing site, including containment actions, evidence collection, and post‑incident documentation.
• Maintain awareness of manufacturing‑specific risks, including engineering workflows, shared systems, and IP‑sensitive environments.

Automation, Scripting & Analysis

• Use scripting and basic programming to support investigations, data analysis, and operational efficiency.
• Develop and maintain simple scripts or queries (e.g., PowerShell, Python, KQL) to assist with alert triage, log analysis, data validation, and reporting.
• Leverage scripting to reduce repetitive manual tasks while operating within established security tooling and change controls.

Work Style & Attributes

• Self‑motivated and dependable, with a strong work ethic in an on‑site, semi‑isolated environment.
• Comfortable operating as an individual contributor with defined scope and responsibilities.
• Collaborative and approachable, with a service‑oriented mindset toward local manufacturing and IT teams.
• Detail‑oriented and risk‑aware, with an appreciation for balancing security controls against manufacturing uptime and business impact.
• Strong analytical and critical-thinking skills with high attention to detail.
• Clear and concise written and verbal communication, including to non-technical stakeholders.
• Ability to remain composed and effective under pressure during active security incidents.
• Team-oriented and collaborative with a proactive, security-first mindset.
• Ability to approach security challenges with genuine curiosity and a questioning attitude, consistently digging deeper to understand the "why" behind alerts, behaviors, and anomalies rather than accepting surface-level conclusions.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Good discipline and behavior, willing to learn and grow.
• Responsible for Equipment Engineering KPI which is MTBA, OEE, machine downtime, Quality and Preventive maintenance.
• Ability to support on hardown machines and assist technician to troubleshoot the machine.
• Ability to support on machines improvement in term of productivity and quality.
• "This role requires reliable presence to support operational and team objectives. Employees are expected to maintain regular attendance aligned with the company’s work schedule."

Specification of work task or Main Responsibilities and Duties:

Repair Service Engineer with repair shop duties is responsible for diagnosing, repairing, and testing equipment, machinery, or electronics - either directly on-site at machine or in the service room's workshop.

• Very hand on oriented person. Figuring out how to repair/overhaul parts of semiconductor final test machines and afterwards defining procedures how to repair
• Experience in mechanical repair and/or electronics repair is a must
• Diagnose and troubleshoot mechanical and electrical issues in supporting equipment like Work piece carrier, Trax, board, module and other relevant Equipment/Production.
• Identifying the root cause of supporting equipment malfunctions and performing necessary repairs, which may involve disassembling, replacing parts, and reassembling.
• Conducting regular inspections and preventative maintenance to ensure supporting equipment runs smoothly and to identify potential problems.
• Maintaining accurate records of repairs and maintenance activities
• Ensuring all repairs and maintenance activities adhere to safety regulations and procedures
• Recommending improvements to maintenance procedures and equipment to enhance efficiency and reliability
• Support and train Technician in execution of repairing activities.
• Align changes with lead plant engineering
• Electrical buyoff for Equipment (MST-FCM)
• Arrange supplier to perform Automatic shelf System (E.g.: Modular/Kardex) service and maintenance together with spare part team.
• Providing technical assistance to other engineers, technicians, or users of the equipment only assign by Team Lead/Department head.
• Take care of spare parts and consumables which are not ordered under the standard spare part process with automatic reordering once stock limit reached
• Execute any other related duties aligned in Daily Leadership Routine and assigned by Team Leads/Department Head.

We are seeking a highly motivated and detail-oriented individual to join our team in the Business Process Management & System Projects function. The role offers an exciting opportunity to work on process improvement initiatives, digital transformation, and system implementation projects that drive efficiency and innovation across the organization.

ESSENTIAL DUTIES AND RESPONSIBILITES: 

• Perform product setup for NPI builds, including MES configuration and routing creation via Engineering Change Management.
• Provide PDM NPI related troubleshooting and issue resolution.
• Act as key user and SME for MES and PDM NPI processes, supporting functionality enhancements and process improvements.
• Consolidate and align PDM NPI enhancement requirements across operations, IT, and stakeholders.
• Drive design, development, and deployment of SAP & MES solutions to improve process efficiency, traceability, and data accuracy.
• Support end-to-end project execution and system enhancements through cross-functional collaboration, including requirements, testing, training, and change management.

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

We're looking for an experienced and visionary Principal Engineer, Product Development Engineering to join our dynamic team. In this pivotal role, you will drive the development and optimization of innovative products from conception through qualification, ensuring exceptional quality and reliability. You will lead cross-functional teams, mentor engineering talent, and champion technical excellence while collaborating closely with design, manufacturing, and quality teams to deliver products that exceed customer expectations. This is an opportunity to make a significant impact on product strategy and engineering excellence within a forward-thinking organization.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Lead and drive product development initiatives from pre-silicon design through first silicon and full qualification, ensuring alignment with technology and product roadmaps.
• Develop and implement comprehensive test strategies, test flows, and screening methodologies that optimize product quality and reliability metrics for wafer testing. 
• Conduct in-depth electrical and functional failure analysis during new product development and qualification phases, identifying root causes and defining corrective action plans.
• Collaborate with cross-functional stakeholders including design engineers, device engineers, manufacturing partners, and quality teams to resolve complex technical challenges.
• Define and refine product specifications, test algorithms, and stress screening methods based on rigorous data analysis and industry best practices.
• Monitor product quality metrics and reliability performance across product lines, driving continuous improvement initiatives and process optimization.
• Partner with system and firmware teams to develop robust error handling algorithms and enhance overall product resilience.
• Mentor and support junior engineers, fostering a culture of technical excellence, innovation, and collaborative problem-solving.
• Communicate technical findings, recommendations, and strategic insights to senior leadership and cross-functional partners with clarity and precision.
• Manage project timelines, deliverables, and resource allocation to ensure efficient execution and on-time product launches.
• Develop and maintain technical documentation, product specifications, and engineering standards that support organizational goals.
• Champion innovation and process improvement initiatives that enhance product performance and manufacturing efficiency.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Be part of Product & Test Engineering team responsible for engineering and manufacturing support of industry-leading SATA and NVMe Solid-StateDrive.
• SSD test program validation, failure analysis, cost reduction and yield improvements.
• Provide NPI and HVM production support for SSD test development, manufacturing flow improvement, QC failure and RMA DPPM reduction.
• Engineering support for SSD products after transition from design to high volume production, work with design, process, validation and reliability engineers to solve problems.
• Work closely with contract manufacturing and corporate internal R&D teams such as Nand, ASIC, Validation, and Firmware to develop and verify proper HVM friendly manufacturing test process.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Product Quality Oversight and Failure Analysis:
  • Lead Outgoing Quality Assurance (OQA) and Ongoing Reliability Test (ORT) monitoring, proactively identifying quality trends and resolving anomalies to ensure high product reliability.
  • Conduct in-depth failure analysis, root cause investigation, and corrective action implementation to improve overall product quality.
• Test Flow and Program Optimization:
  • Define, enhance, and maintain SSD product quality test flows, ensuring they align with industry best practices and company standards.
  • Develop and optimize automated quality test programs to improve efficiency and reliability in testing procedures.
• Performance and Reliability Reporting:
  • Oversee the creation and maintenance of product performance and reliability reports, providing key stakeholders with insights for continuous improvement.
  • Collaborate with cross-functional teams to present quality findings and drive data-driven decision-making.
• Advanced Data Analysis and Automation:
  • Perform complex data analysis to identify product quality trends, using statistical methods and machine learning models where applicable.
  • Develop and maintain automation scripts to streamline data processing, testing, and reporting workflows.
• Technical Leadership in SSD Reliability:
  • Provide technical guidance on SSD failure mechanisms, endurance, and reliability testing methodologies.
  • Collaborate with R&D, firmware, and manufacturing teams to drive quality improvements and reliability enhancements.
• Cross-Functional Communication and Issue Resolution:
  • Lead technical discussions with internal and external stakeholders, ensuring efficient resolution of quality and reliability issues.
  • Act as a liaison between engineering, manufacturing, and customer support teams to ensure alignment on product quality expectations.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

We are seeking a highly motivated and talented Software Development Engineer to join our team at Sandisk. In this role, you will be instrumental in developing and maintaining our digital twin and machine learning software tools. Key responsibilities include:

1.      Develop and enhance our digital twin software solutions to improve efficiency and accuracy across the design and manufacturing processes.

2.      Leverage machine learning and data analytics techniques to optimize the design and manufacturing process, develop design recommendation systems, identify anomalies, and support failure analysis.

3.      Design, develop, and maintain software tools that streamline simulation workflows, minimize human error, and enhance the interpretation of simulation results.