Ground Systems Engineer & RTE - Secret Clearance

Lockheed Martin; Bethesda (MD); Vor Ort; USD 145.000 - 270.000; Vollzeit

Benefits dieser Stelle

4x10 schedules

Medical benefits

Education assistance

401(k) match

Paid time off

Zusammenfassung

Lockheed Martin Space in Bethesda, MD is seeking an experienced Ground IPT Release Train Engineer (RTE) to drive the integration, test and delivery of the Ground segment. You will apply systems engineering discipline across requirements, architecture, and MBSE within an Agile IT/DevSecOps context using Jira and Confluence.

Ideal candidates bring strong knowledge of ground systems, AI prompting for engineering tasks, and experience with cloud platforms (AWS/Azure) and modern software practices.

Qualifikationen

• Systems engineering experience with requirements, CONOPS, ICD, or Architecture.
• Detailed knowledge and understanding of systems engineering process.
• Prior experience with satellite ground systems design, development, integration, and test.
• Experience with Space payload and vehicle management for comms missions.
• Experience with MBSE and with Horizon & Compass GPL products.
• Experience in an Agile IT&T environment using Jira and Confluence.
• Ability to obtain and maintain a Secret clearance.

Aufgaben

• Lead system integration, verification, and validation efforts across ground systems.
• Translate customer requirements into hardware and software specifications.
• Perform functional and timeline analyses and interface definitions.

Kenntnisse

Systems Engineering

Agile methodologies

Jira & Confluence

MBSE

Cloud platforms

Programming: C++, Java, Python

Docker/Kubernetes

Secret clearance

Ausbildung

Bachelor's degree in engineering

Tools

Jira

Confluence

SysML Cameo

Docker

Kubernetes

AWS

Azure

Jobbeschreibung

Lockheed Martin Space in Bethesda, MD is seeking an experienced Ground IPT Release Train Engineer (RTE) to drive the integration, test and delivery of the Ground segment. You will apply systems engineering discipline across requirements, architecture, and MBSE within an Agile IT/DevSecOps context using Jira and Confluence.

Ideal candidates bring strong knowledge of ground systems, AI prompting for engineering tasks, and experience with cloud platforms (AWS/Azure) and modern software practices.