Senior Engineer, Industrial Engineering

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

Capacity Planning team is responsible to plan equipment/tools needed at the required target buffer levels at both Captive and Non-Captive sites to support the Flash Business Unit within Western Digital. Capacity Planning team is also responsible for coordinating and finalizing the overall flash backend capex.

This Capacity Planning role requires the candidate to work closely with Factory IE teams, CM (Contract Manufacturer) Operations, Manufacturing Product Engineering/Test Engineering & Memory Product Solutions (MPS) to position the required assy/test capacity across all sites (Captive & CM's) to support the demand outlook.

Valuable experience will be gained by working, organizing, and driving overseas factories to meet planned capacity goals. Candidate must be able to quickly understand the current business processes and demonstrate high analytical and modelling skills to solve the problems. Moreover, the candidate must have a demonstrated capability to assess mutually exclusive demands to formulate an optimized solution which will provide the capacity needed to satisfy current and future product demands.

Demand changes occur weekly, forcing the candidate to constantly adjust previous plans to meet changing requirements. Flexibility and creative thinking are critical to success in this role and in the Capacity Planning Group.

Essential Duties and Responsibilities:

• Maintaining and updating the advanced planning system i2 with accurate capacity modelling inputs to ensure high confidence output that will be leveraged to make capacity/capex decisions.
• Creating, modelling new or understanding and maintaining existing mathematical models (based on excel, Python etc) to support CAPEX (capital expenditure) decision making
• Hosting & Coordinating troubleshooting meetings & exercises to resolve capacity constraints
• Proposing different ideas to reduce the overall CAPEX (capital expenditure) spend by optimizing on hand equipment while meeting the company's demand at the required buffer level
• Presenting CAPEX requirement analyses and recommendations to senior management on a monthly cadence
• Contributing to strategic and operations decisions involving process redesigns, equipment modifications and tooling change
• Driving throughput improvements in the factory by performing detailed analyses optimizing production output for various demand scenarios
• Work with other Capacity Planning team members to understand the current business procedure and propose improvements/Automations which will help to improve the quality of the analysis and reduce the time taken to do the analysis.
• Drive meetings with MPS, Manufacturing PE, CM Operations, POM and factory IEs to drive test time reduction initiatives, test program/PN readiness & optimize overall capex spend
• Drive efficiency on the functional processes through Automation

Qualifications

Required:

• Bachelor's degree in Industrial Engineering or related field;
  Master's degree preferred
• 2+ years of experience in industrial engineering or related field
• Solid foundation in industrial engineering principles, Lean concepts, and process improvement techniques.
• Hands-on experience with data analysis using Excel, SQL, Tableau, and basic simulation or statistical tools.
• Ability to support projects, collaborate with cross-functional teams, and manage tasks in fast-paced environments.
• Strong analytical and problem-solving skills with exposure to optimization or mathematical modeling concepts.
• Effective communicator and motivated team player with growing experience in Python or advanced planning systems.

Additional Information

Sandisk is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or…