2026 Full-time - Mechanical & Automation Engineer - Onsite (CA)

RTX•Goleta, CA

1d•Onsite

About The Position

At RTX, the world's largest aerospace and defense company with 185,000 employees, we are united by purpose and inspired to make a difference solving the world’s most complex problems. Through our three market-leading businesses, world-class operations, and investments in research and development, we offer unparalleled capabilities and opportunities. We push the boundaries of known science to connect and protect our world. At Raytheon Vision Systems, we specialize in manufacturing advanced infrared detectors and semiconductor materials crucial for mission-critical sensing technologies in defense and aerospace. Our highly specialized production environment involves cleanroom operations, precision crystal growth, and rigorous metrology to ensure the highest quality and performance standards. As a Mechanical and Automation Engineer, you will be instrumental in modernizing our manufacturing operations. This hands-on role is set in a fast-paced, cleanroom-based production environment where meticulous attention to detail, safety, and collaboration are paramount. Your responsibilities will include supporting the fabrication and testing of semiconductor materials, from tooling design using CAD applications to system configurations and evaluations related to automation. Success in this role demands strong technical skills, close collaboration with engineers, technicians, and production staff in a controlled environment, an understanding of production schedule urgency, clear cross-disciplinary communication, and a commitment to continuous improvement for enhanced yield, reliability, and throughput.

Requirements

Bachelor's degree in Science, Technology, Engineering, or Mathematics (STEM)
Experience with Microsoft Office
Experience with common software tools for data manipulation and data extraction such as: Matlab, Minitab, MS Excel, ProE
U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract
Experience may be obtained through on‑the‑job experience, research, coursework, or projects.

Nice To Haves

Preferred majors in Mechanical engineering, Physics, or Chemistry
Experience in production environment and multi-disciplinary engineering environment.
Scripting and automation (e.g., Python, Bash/Shell, PowerShell).
Data validation and quality assurance methodologies.
A motivated and self-starting individual who interacts well in a team environment that includes both company colleagues and customers.

Responsibilities

Utilize CAD software to generate accurate drawings
Evaluate manufacturing process steps for automation
Develop system configuration for optimal productivity
Apply statistical and mathematical methods to quantify outcomes, analyze process data and improve yield.
Apply advanced mathematical methods for data analysis
Collaborate with scientists and engineers to understand production workflows and data needs.
Work in controlled areas, cleanrooms, laboratories etc.
Develop fundamental understanding of crystal growth and epitaxial processes