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Electro-Optics Systems Engineer ; Onsite

Job in El Segundo, Los Angeles County, California, 90245, USA
Listing for: Prattwhitney
Full Time position
Listed on 2026-10-17
Job specializations:
  • Engineering
    Systems Engineer, Electronics Engineer
Salary/Wage Range or Industry Benchmark: 62900 - 119700 USD Yearly USD 62900.00 119700.00 YEAR
Job Description & How to Apply Below

Position Role Type:
Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements:
The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance.

Security Clearance Type:
DoD Clearance:
Secret Security Clearance Status:
Active and existing security clearance required after day 1

Are you ready to explore the world of aerospace and defense? Do you want to learn from and collaborate with some of the greatest minds in the industry? At RTX, our internships, co-ops and full-time careers provide an exceptional foundation to work on complex problems, advance your skills and create a safer, more connected world. Discover opportunities to make a difference at RTX.

The Electro-Optical System Design Department is currently in need for an Electro Optical Systems Engineer to support the Advanced Products & Solutions Mission Area in the development and building of advanced electro-optical systems.

The systems engineer will be part of a design team building electro-optical systems including imagers, passive/active EO tracking, LIDAR, and directed energy systems.

The systems engineer will be contributing to assessing systems architecture, developing requirements for these systems, and supporting the design and build efforts. It will involve being able to assess mission/system requirements and derive design and performance requirements for subsystem and unit levels.

The role also involves understanding verification and test activities to assist in the creation of a proper IV&V plan meeting the requirements of the program.

What You Will Do

The EOSD Department supports Space and Airborne Systems (SAS) by providing systems engineering expertise in the Electro-Optical Systems (EOS) domain. Typical roles within the department involve:

  • EOS System Architects
  • System Design Engineers
  • Integrated Product Team Leadership
  • Lead Systems Engineers
  • Chief Engineers
  • Requirements Engineers
  • EO Systems Analysts

Onsite:
Employees who are working in onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. This position requires the ability to obtain a security clearance.

DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process.

More information about Security Clearances can be found on the US Department of State government website here: https://www.state.gov/m/ds/clearances/c10978.htm

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

Qualifications You Must Have:
  • Bachelor's degree in Physics, Optical or related Science, Technology, Engineering or Mathematics (STEM) major obtained by start date
  • Experience with electro-optical infrared imagery, focal plane technology, lenses, or apertures
  • Experience with fundamental optical principles including geometrical optics, physical optics, imaging systems, aberrations, or detectors
  • Hands-on experience through coursework or lab work with optical testing or alignment
  • Experience may be obtained through job experience, research, coursework, or projects
Qualifications We Prefer:
  • Internship or project experience related to opto-mechanical engineering, photonics, infrared physics, or optical systems
  • Experience with programming using C++ or Python
  • Experience or coursework in signal processing, image processing, tracking, computer vision, or machine learning
  • Knowledge of systems engineering architecture and…
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