Reliability Engineer

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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 sustainable. 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.

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The Defense Systems Sector, is seeking a talented 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 RAM Engineer will work with other RAM engineers on large programs 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, but are not limited to: 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 selected candidate may serve as a Subject Matter Expert and may be experienced with using the Reliasoft tool. The selected candidate may present reliability engineering artifacts they have developed to the customer in formal design reviews and may serve as a customer liaison in many of their programs.

If this sounds like the kind of environment where you can thrive, keep reading!

Leidos Defense Systems Sector provides a diverse portfolio of systems, solutions, and services covering land, sea, air, space, and cyberspace for customers worldwide. Solutions for Defense include enterprise and mission IT, large-scale intelligence systems, command and control, geospatial and data analytics, cybersecurity, logistics, training, and intelligence analysis and operations support. Our team is solving the world’s toughest security challenges for customers with “can’t fail” missions. To explore and learn more, click here!

The RAM Engineer will work in a matrixed organization at Leidos, supporting multiple programs at once in a variety of engineering fields with different team environments, from the large-scale programs that Leidos is the prime contractor for, like IFPC Inc-2, to smaller-scale programs for which Leidos provides support as a subcontractor to companies in the top 100 DoD contractors. The candidate will join a diverse team of other RAM engineers, systems engineers and specialty engineers (e.g., Safety and Human Factors, Risk, Test) within Leidos and have the opportunity to work on programs from their preferred background, as well as challenge themselves by working on programs outside of their expertise.

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Basic Qualifications.

• Candidate must possess a Bachelor's degree in Systems Engineering, Aerospace Engineering, Software Engineering, Computer Science, Computer Engineering, Electrical Engineering, or a related technical/engineering discipline from an ABET-accredited university, along with 8 years of relevant experience, or a Master's degree with 6 years of 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 multi-disciplinary teams.
• Professional experience in deriving (RAM) requirements for complex electrical, electro-mechanical, 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.

Preferred Qualifications.

• 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 reliability analysis tools, such as Relyence.
• Experience with LTSpice or other electronic circuit simulator software.
• Experience in working with SysML to develop Model-Based Systems Engineering diagrams. 
• Certified Reliability Engineer (CRE) and/or INCOSE CSEP certification preferred.
• A detailed understanding of the top-down systems engineering process for architecture development and bottoms-up verification.
• Experience in supporting Environmental Stress Screening (ESS) and Highly Accelerated Life Testing (HALT).
• Experience performing risk management, test planning, and proposal development.
• Experience shaping and executing business development efforts.
• Thorough understanding of the DoD acquisition processes and methods.
• Master's Degree in Systems Engineering, Software Engineering, Computer Science, Computer Engineering, Electrical Engineering or equivalent technical/engineering degree from an ABET-accredited university.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.

Original Posting:

July 23, 2026

Pay Range:

Pay Range $107,900.00 - $195,050.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.