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# Torpedo Systems Release Train Engineer

- **Company:** General Dynamics Mission Systems, Inc.
- **Location:** Canonsburg, PA, United States
- **Experience:** Expert
- **Salary:** $142,696 - $158,303
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Systems Engineering, Cyber Security, Intelligence Analysis, Knowledge Management, Scrum Methodology, Scaled Agile Framework, Signal Processing, Cisco Discovery Protocol
- **Published:** November 4, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=a4901e1a90571258

## About the Role

Bachelor's degree in Systems Engineering, or a related Science, Engineering or Mathematics field, plus a minimum of 8 years of relevant experience; or Master's degree, plus a minimum of 6 years of relevant experience., Department of Defense Secret security clearance obtainable within reasonable time based on requirements. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required., * Experience executing Agile Release Train (ART) ceremonies, including Program Increment (PI) Planning, Scrum of Scrums, Inspect and Adapt, and System Demos.

 * Experience developing and implementing agile maturation roadmaps and applying agile practices within Department of Defense (DoD) program constraints.
 * Experience managing cross-team dependencies and integration planning across software, systems engineering, integration, and test.
 * Experience aligning agile delivery with Earned Value Management (EVM) milestones, Integrated Master Schedule (IMS) gates, and contractual commitments.
 * Experience using flow load, throughput, cycle time, and predictability metrics to optimize delivery., * Direct experience with DoD program structures, including Earned Value Management Systems (EVMS), IMS, Contract Data Requirements Lists (CDRLs), Integrated Baseline Reviews (IBRs), and control accounts.
 * A demonstrated record of executing PI Planning or equivalent large-scale planning events.
 * Knowledge of systems engineering concepts, principles, theories, and technical standards.
 * Experience delivering engineering work under classification requirements, contractual constraints, and government oversight.
 * Experience with the Scaled Agile Framework (SAFe) and/or relevant SAFe certifications preferred.

## Description

Imagine a world-class engineering environment with exceptional talent and advanced technologies that are often classified. At General Dynamics Mission Systems, you'll work with amazing engineers to invent the technologies, products, and services that help our service members, intelligence analysts, and first responders keep our nation safe. We provide premium systems and services to the Department of Defense, government agencies, and commercial clients across areas including acoustic sensors, signal processing, combat systems, torpedoes, cybersecurity, knowledge management, and electronic warfare. If you want the chance to lead, it's time to bring your talent to General Dynamics Mission Systems (GDMS)!

As a Torpedo Systems Release Train Engineer (Sr Adv Systems Eng), you will lead agile execution for highly technical multi-discipline teams across the Torpedo portfolio including facilitation of agile ceremonies and driving agile maturation and continuous improvement. You will work closely with Program and Engineering leadership to provide status, develop plans and roadmaps, maintain and generate metrics, and communicate with stakeholders and customers., * Plan and execute ART-level ceremonies and implement the agile maturation roadmap across multiple teams.

 * Manage cross-team dependencies and integration plans in coordination with systems engineering, integration, and test functions.
 * Align delivery plans with control account milestones, IMS gates, and contractual requirements; identify and resolve technical and process impediments.
 * Analyze ART flow metrics to improve throughput, cycle time, and delivery predictability.
 * Identifies opportunities to apply AI for continuous improvement and innovation.