Senior Engineer, Engineering at Sandisk

Batu Kawan, Penang, Malaysia -

Full Time

Start Date

Immediate

Expiry Date

12 Feb, 26

Salary

0.0

Posted On

14 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Manufacturing Processes, Lean Principles, Continuous Improvement, Root Cause Analysis, Corrective Action Implementation, MES, SAP, Dashboard Development, Project Management, Cross-Site Collaboration, Six Sigma, Kaizen Principles, Automation Systems, Data Visualization, Analytical Skills, Problem-Solving Skills

Industry

Semiconductor Manufacturing

Description

Company Description Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape. Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality. Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward. Job Description We are seeking a highly motivated Engineers with experience in Semiconductor Manufacturing to join our team. The Business Process Management plays a critical role in driving process excellence and operational efficiency across the manufacturing network. This position will focus on identifying improvement opportunities, standardizing best practices, developing system solutions, and enhancing data visibility to support data-driven decision-making and continuous improvement initiatives. ESSENTIAL DUTIES AND RESPONSIBILITIES: Develop and implement business process improvements, manufacturing system optimization, and inventory management improvement to support operational excellence initiatives. Identify inefficiencies or bottlenecks in existing processes and lead cross-functional teams to design and implement optimized workflows. Create and maintain documentation such as Standard Operating Procedures (SOPs), Work Instructions, and Control Plans. Work closely with cross-functional teams (Manufacturing, Engineering, Supply Chain, Quality) to resolve manufacturing challenges and ensure production targets are achieved. Conduct root cause analysis (RCA) for process and quality issues, ensuring implementation of sustainable corrective and preventive actions. Monitor and analyze key manufacturing metrics such as yield, throughput, downtime, and scrap to identify improvement trends. Lead and support Value Stream Mapping (VSM), yield improvement, and cost reduction initiatives across sites. Provide training and coaching to production teams on new processes, tools, and continuous improvement methodologies. Key Projects and Involvement Areas; Process Streamlining & Standardization. System Integration & Dashboard Development. Yield & Quality Management. Inventory Optimization & Control. Supply Chain and Material Flow Improvement. Value Stream Mapping (VSM) Initiatives. Qualifications REQUIRED: Bachelor’s Degree in Manufacturing Engineering, Process Engineering, Industrial Engineering, or a related field. At least 3-5 years of experience in semiconductor manufacturing field. Strong understanding of manufacturing processes, Lean principles, and continuous improvement methodologies. Proficient in root cause analysis (RCA) and corrective action implementation. Hands-on experience with MES, SAP, or other manufacturing systems and dashboard/reporting tools (e.g., Power BI, Spotfire). PREFERRED: Experience in project management and cross-site collaboration. Knowledge of Six Sigma, Lean Manufacturing, or Kaizen principles. Familiarity with automation systems, Industry 4.0 technologies, or data visualization tools. Ability to interpret and use data to drive decision-making and improvement initiatives. SKILLS: Excellent analytical, problem-solving, and communication skills. Strong teamwork and collaboration mindset to work effectively across multiple functions and sites. Additional Information Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [email protected] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. NOTICE TO CANDIDATES: Sandisk has received reports of scams where a payment is requested on Sandisk’s behalf as a condition for receiving an offer of employment. Please be aware that Sandisk and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Sandisk Ethics Helpline or email [email protected].

Responsibilities

The role involves developing and implementing business process improvements and optimizing manufacturing systems to support operational excellence. It also includes identifying inefficiencies, leading cross-functional teams, and conducting root cause analysis for process and quality issues.