Systems Engineer - Intern

Job Description/Preferred Qualifications

The Advanced Technology of RAPID Division is seeking a Systems Engineer Intern to develop the cutting-edge reticle inspection products. The candidate will be part of the team responsible for system architecture definition, modeling, design, integration, and characterization of reticle inspection systems for semiconductor industry.

Responsibilities

Execute technology integration activities and work on systems related integration, automation and testing activities.

Engage with cross-function teams on technical simulation, product development and system engineering to meet the target product requirements.

Contributes ideas and insights to testing methodologies, applications, techniques, or procedures.

Develops process architectures and functional specifications based on product and automation workflow requirements.

Document process integration, potential issues, and test plan for managers and engineers

Makes suggestions that involve the consideration of complex issues.

Works autonomously and checks-in with supervisor/project lead as decisions are made.

Responds to change with flexibility and adapts quickly.

Provide support and response to complex system problems, counseling the internal and external vendors on corrective and preventative actions.

Ensure both new and existing instrumentation automation and non-automation meet safety requirements and compliance standards.

Ability to comply with all applicable personal protective equipment requirements.

Minimum Qualifications

Pursuing a PhD in Materials Science, Electrical Engineering, Plasma Physics, or similar field.

Technical proficiency and experience in automation, system development, and integration in a laboratory.

Hands-on experience in semiconductor processing and automation such as deposition, etch, plasma processing, and plasma source development are highly preferred.

Experience with statistical process control and design of experiments is a valued qualification.

Experience in process optimization involving complex workflows comprising both system equipment and software components to ensure product requirements are met.

Must have a good understanding of laser, optics, vacuum, plasma, metrology, mechanical, motion control and software systems and their interactions in sophisticated industrial equipment.

Ability to analyze and interpret complex data to develop system requirements. Data analytics development experience in Matlab, Python is plus.