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Hardware Development Engineering

Job in San Jose, Santa Clara County, California, 95199, USA
Listing for: Western Digital Corporation
Full Time position
Listed on 2026-11-02
Job specializations:
  • Engineering
    Process Engineer, Manufacturing Engineer, Quality Engineering
Salary/Wage Range or Industry Benchmark: 106600 - 142100 USD Yearly USD 106600.00 142100.00 YEAR
Job Description & How to Apply Below
  • Job Type (exemption status):
    Exempt position - Please see related compensation & benefits details below
  • Salary Range:

    -
  • Business Function:
    Hardware Development
Company Description

WD is building the infrastructure behind the AI-driven data economy.

As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time. That’s where we come in.

We combine deep engineering expertise with global-scale manufacturing to deliver the storage systems that make AI possible, powering hyperscale data centers, cloud platforms, and enterprise infrastructure worldwide.

This isn’t theoretical work. It’s real systems, at real scale, people solving some of the hardest challenges in technology today.

We’re looking for people who want to build, solve, and operate at that level.

Join us and let’s shape the future of data.

Job Description

Western Digital is seeking a motivated Early Career Photolithography Process Engineer to join our wafer manufacturing team. This role is ideal for engineers who are passionate about semiconductor manufacturing and processing. development, data analysis, and solving complex technical challenges. As a member of the Photolithography Engineering team, you will work alongside experienced engineers, technicians, equipment specialists, and cross-functional partners to develop, optimize, and sustain advanced lithography processes used in high-volume manufacturing.

This position offers excellent opportunities for technical growth, mentorship, and career development in one of the most critical process areas within semiconductor manufacturing.

ESSENTIAL DUTIES AND RESPONSIBILITIES
  • Support photolithography process development, optimization, and sustaining activities for high-volume manufacturing.
  • Monitor process and equipment performance using statistical analysis and data-driven problem solving.
  • Participate in root cause investigations and corrective actions for process excursions, yield issues, and equipment-related events.
  • Execute experiments and process characterizations using Design of Experiments (DOE)
  • methodologies.
  • Develop and implement process improvements to improve yield, cycle time, quality, and
  • manufacturing robustness.
  • Support qualification of new equipment, materials, and process technologies.
  • Create and maintain process documentation, operating procedures, and engineering reports.
  • Train and support technicians, manufacturing personnel, and equipment owners.
  • Collaborate with Integration, Yield Enhancement, Metrology, Maintenance, Manufacturing, and Product Engineering teams.
  • Utilize Statistical Process Control (SPC), Advanced Process Control (APC), and data analytics tools to monitor and improve critical process metrics.
  • Gain hands‑on experience with advanced lithography systems and semiconductor manufacturing equipment.
Qualifications

REQUIRED

  • B.S. or M.S. degree in Chemical Engineering, Materials Science, Physics, Electrical Engineering, Mechanical Engineering, Chemistry, or a related technical discipline.
  • Experience in semiconductor manufacturing, microfabrication, research laboratories, or other technology‑focused environments.
  • Strong analytical and problem‑solving skills with demonstrated ability to interpret data and identify trends.
  • Experience with data analysis tools such as JMP, Python, SQL, Minitab, SAS, MATLAB, or similar platforms.

SKILLS

  • Excellent written and verbal communication skills.
  • Ability to work effectively both independently and in a collaborative team environment.
  • Demonstrated initiative, curiosity, learning agility, and ownership of assigned projects.

PREFERRED

  • Internship, co‑op, research, or manufacturing experience in semiconductor processing or wafer fabrication.
  • Familiarity with cleanroom…
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