Hardware Development Engineering

About the Role

WD is building the infrastructure behind the AI-driven data economy. We combine deep engineering expertise with global-scale manufacturing to deliver the storage systems that make AI possible. This position offers excellent opportunities for technical growth, mentorship, and career development in one of the most critical process areas within semiconductor manufacturing.

Key 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.

Requirements & Tech Stack

• 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 environments and semiconductor manufacturing practices.
• Exposure to photolithography concepts such as photoresist coating, exposure, development, overlay, and critical dimension control.
• Knowledge of Design of Experiments (DOE), Statistical Process Control (SPC), and Advanced Process Control (APC).
• Experience with scripting, automation, machine learning, or data visualization tools is a plus.