Job title: Application Engineer SPC
Job type: Contract
Emp type: Full-time
Location: Remote
Job published: 11/18/2025
Job ID: 34672
Contact name: Sandy Aguilar
Contact email: sandy.aguilar@newiron.com

Job Description

Contract Duration: 12–18 months
Location: Remote (ideally based in New Mexico, Austin TX, or North East coast)
Travel: 25%

Overview:
New Iron is seeking a highly skilled Application Engineer with significant SPC experience and hands-on experience setting up the E3 platform in new semiconductor fabs. This pivotal role oversees the setup and activation of E3, leveraging SPC from the ground up as the factory launches its first production lines.

Responsibilities:

  • Serve as the subject-matter expert for the E3 system, responsible for end-to-end deployment and configuration in a new semiconductor fab startup.​

  • Lead the setup, integration, and validation of SPC controls, ensuring process stability, yield optimization, and early-stage defect detection as production ramps.​

  • Collaborate with cross-functional startup teams to configure E3 modules for data collection, run-to-run (R2R) process control, fault detection and classification (FDC), and manufacturing automation.

  • Rapidly adapt E3 control strategies to address startup production challenges, scaling SPC methodology as factory output and complexity increase.​

  • Mentor and train startup engineers and operators on best practices to maximize E3 effectiveness and maintain robust process control.

 

Qualifications:

  • 5+ years of experience with SPC/APC/FDC systems

  • Direct experience “turning on” and configuring E3 in a startup fab environment using SPC for initial process setups.​

  • Strong working knowledge of semiconductor fab operations, process equipment, and automation software.

  • Familiarity with advanced SPC tools and methodologies for early, scalable yield and process quality management.​

  • Exceptional problem-solving and communication skills for fast-paced, evolving environments.

  • Experience with databases (SQL), scripting (Python preferred), and real-time data interfaces.

  • Bachelor’s degree in Engineering, Statistics, Computer Science, or related field.