Senior Systems and Reliability Engineer

Job Overview

Looking for an opportunity to make an impact? At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers’ success. We empower our teams, contribute to our communities, and operate sustainably. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Our Mission, Vision, and Values guide the way we do business.

The Defense Systems Sector is seeking a talented Senior RAM (Reliability, Availability, Maintainability) Engineer to join a diverse team to create unique solutions for complex problems. With offices across the United States engaging in the defense, space, cyber, and commercial fields, Leidos provides responsive, cost‑effective engineering, scientific, and IT solutions.

The Senior RAM Engineer will lead and manage other RAM engineers on programs, ranging from small to large scale, associated with the DoD, DARPA, NASA, and commercial applications. The selected candidate will have a significant impact on the development of reliability artifacts throughout the system’s life cycle. Examples of artifacts include reliability prediction, Mean Time To Repair (MTTR) analysis, reliability block diagrams (RBD), reliability reports, statistics, Failure Modes Effect (Criticality) Analysis (FMEA/FMECA), Failure Reporting, Analysis, and Corrective Action System (FRACAS).

The candidate will interface with program management and executive leadership to resolve highly complex and significant problems using expert technical knowledge, may serve as a Subject Matter Expert, and may present reliability engineering artifacts in formal design reviews and act as a customer liaison.

As a Senior RAM Engineer, the candidate will work in a matrixed organization at Leidos, with the option to support multiple programs at once in various engineering fields. They will join a diverse team of other RAM engineers, systems engineers, and specialty engineers (e.g., Safety and Human Factors, Risk, Test), and may lead a team of reliability engineers on at least one major program.

The role involves managing RAM engineering work internally within the Defense Systems Sector and Leidos, fielding requests from project managers, supporting Basis of Estimation (BoE) development for proposed RAM work, and shaping the company’s overall approach to RAM Engineering through tool selection and training of other reliability team members. The goal is to incorporate RAM analyses into a Model‑Based Systems Engineering environment wherever possible.

• Candidate must possess a Bachelor’s degree in Systems Engineering, Aerospace Engineering, Software Engineering, Computer Science, Computer Engineering, Electrical Engineering, or an equivalent technical/engineering degree from an ABET‑accredited university.
• Candidate must possess a B.S. degree and 12 years of prior relevant experience or a Master’s with 10 years of prior relevant experience.
• Must have experience conducting RAM related analyses such as MTTR, MTBF, FMEA, RBD, power dissipation, and derating.
• Demonstrated ability to take on complex or ambiguous technical tasks, develop a structured plan of action, and drive it to completion with minimal supervision.
• Must have a proven ability to effectively present complex design concepts and review materials to large groups, including executive leadership and customer representatives.
• Position requires candidates to be capable of performing in a highly collaborative engineering environment working closely with multidisciplinary teams.
• Professional experience in deriving (RAM) requirements for complex electrical, electromechanical, mechanical, and software systems.
• Experience supporting NASA, DoD, or DARPA programs.
• Resident of the North Alabama area or willing to relocate to the Huntsville - North Alabama, AL area.
• Possess a secret clearance or have the ability to obtain a secret clearance.

• Experience with programming or scripting languages (e.g., VBA, Python, MATLAB, or R) to automate RAM analyses and support data‑driven decision making.
• Experience with Reliasoft and/or other…