Western Digital: Manufacturing Execution Systems Solution Architect — San Jose, CA, United States

Western Digital lists a Manufacturing Execution Systems Solution Architect opening in San Jose, CA, United States. The position is listed as full-time. The job description covers AI, manufacturing, investment, sustainability.

Recruitment overview

OrganisationWestern Digital
Post / roleManufacturing Execution Systems Solution Architect
Employment typeFull-time
Notification / job IDREF34381D
Job locationSan Jose, CA, United States
Work arrangementOn-site
Educational qualificationDegree / qualification: Bachelor’s degree in Engineering, Computer Science, Information Systems, Manufacturing Technology, or a related field, or equivalent practical experience
Experience requiredMid-Senior Level
Salary / stipendSee employer notice for pay details
Last date to applySee official notice

About Western Digital

Western Digital develops and manufactures data-storage technology for data centres, cloud platforms and enterprise infrastructure. Its employer introduction connects this work with the need to retain, manage and access information generated by digital systems and AI applications. The business brings engineering and manufacturing together around the physical systems behind data storage. Its described purpose is to make growing volumes of information available over time, supporting the infrastructure on which other digital services depend.

The position and its setting

Western Digital lists Manufacturing Execution Systems Solution Architect in San Jose, CA, United States, under reference REF34381D. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

  • Employment type: Full-time
  • Employer listing date: 21 October 2026
  • Business Function: Data Management Engineering
  • Brands: Western Digital
  • Work Location: San Jose Great Oaks Headquarters

Responsibilities and work described

  • The Factory Systems MVX Solution Architect is responsible for defining the architecture, capability roadmap, and system design direction for MVX solutions
  • The role serves as the technical bridge among Product, Process, Manufacturing, NPI, IT development, and related teams, translating future product and process requirements into scalable, standardized, and sustainable MVX capabilities
  • The position ensures Factory Systems readiness for engineering builds, qualification, production ramp, and sustaining operations, while shaping the future Factory Systems AI platform architecture and maintaining alignment with the long-term Factory Systems strategy
  • Essential Duties and Responsibilities:
  • Partner with Product and Process teams to understand future programs, technology changes, and manufacturing needs
  • Translate Product and Process roadmaps into Factory Systems and MVX functional capabilities and development roadmaps
  • Prioritize capabilities and delivery sequencing based on business value, program milestones, manufacturing readiness, and cross-functional dependencies
  • Define investment and funding requirements to support prioritized Factory Systems, MVX, and AI roadmap capabilities
  • Facilitate alignment with Process Owners to define and document manufacturing workflows, system behavior, business rules, and data requirements for MVX
  • Identify capability gaps, dependencies, operational risks, and readiness requirements for engineering builds, qualification, production ramp, and sustaining operations
  • Drive standardization and reusable capabilities across products, processes, and manufacturing sites
  • Partner with IT to ensure technical solutions meet approved functional requirements and deliver intended manufacturing outcomes

Essential requirements and candidate background

  • **Required:**
  • Bachelor’s degree in Engineering, Computer Science, Information Systems, Manufacturing Technology, or a related field, or equivalent practical experience
  • Experience: MES, ERP, Factory Systems, or manufacturing system solutions
  • Good understanding of manufacturing workflows, system behavior, business rules, data requirements, and system integration
  • Experience translating Product and Process roadmaps into system capabilities and development priorities
  • Identify capability gaps, dependencies, operational risks, readiness needs, and investment requirements
  • Experience supporting engineering builds, qualification, production ramp, or sustaining operations
  • Guide architecture direction and drive standardized, reusable capabilities across products, processes, and sites
  • Communicate technical direction and recommendations clearly to both technical and management stakeholders
  • Experience developing technology roadmaps, high-level investment proposals, or funding requirements
  • Familiarity: AI-enabled manufacturing platforms, data governance, analytics, automation, or MLOps
  • Experience facilitating architecture or design reviews across multiple teams
  • Balance near-term manufacturing needs with long-term system flexibility and sustainability

Preferred experience and additional strengths

  • **Preferred:**

Location, schedule and contract conditions

For this overseas or regional listing, confirm work authorisation and any location restrictions with the employer. The location does not establish visa sponsorship or permission to work remotely from India.

  • Work arrangement: On-site
  • Advertised location: San Jose, CA, United States

Benefits mentioned by the employer

  • The salary range is what we believe to be the range of possible compensation for this role at the time of this posting
  • This range may be modified in the future
  • If your position is non-exempt, you are eligible for overtime pay pursuant to company policy and applicable laws
  • You may also be eligible for shift differential pay, depending on the shift to which you are assigned
  • You may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan
  • Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan
  • RSU awards are also available to eligible new hires, subject to WD's Standard Terms and Conditions for Restricted Stock Unit Awards
  • Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable
  • Notice To Candidates: Please be aware that WD 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 WD Ethics Helpline or email compliance@wdc.com

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Manufacturing Execution Systems Solution Architect vacancy is not an offer for reference REF34381D; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Western Digital

Applications follow the official employer page linked below. The source includes these application-specific points:

Open the official Western Digital posting below and match the title and reference REF34381D.

Compare your qualifications and experience with the essential conditions for the San Jose, CA, United States position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

  • Accommodation requests: jobs.accommodations@wdc.com

Practical preparation: AI

An AI-related example should make the task and evaluation explicit. Explain the inputs, the system’s intended output and how you checked errors, usefulness or reliability, rather than relying on the model name alone.

Relevant skills

  • AI/ML
  • AI
  • manufacturing
  • investment
  • sustainability
  • stakeholder management

Important links

Official notification / job descriptionOpen official page
Online application portalOpen official page

Read the complete official notice before applying. Availability and requirements can change.

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