Job Title: Sr. Specialist, Software Reliability Engineer

Job Code: 20054

Job Location: Tulsa, OK (Onsite)

Schedule: 9/80

Job Description:

• Develops and executes Software Reliability Engineering (SWRE) program plans and procedures.
• Ensures integration of the SWRE effort with traditional hardware related reliability efforts (e.g., Failure Predictions, Failure Modes Effects and Criticality Analysis (FMECA), Reliability Block Diagrams (RBD), Fault Tree Analysis (FTA), Root Cause Analysis (RCA), Failure Reporting & Corrective Action System (FRACAS), and Built-in-Test (BIT) and Testability Analysis).
• Creates and implements SWRE requirements throughout all phases of the system’s lifecycle (design, production, operations and sustainment).
• Creates and identifies failure definitions and scoring criteria across various software development and product fielding phases.
• Develops hierarchical Software Bill of Materials (BOM) (SBOM), collaborating with Cyber resources.
• Performs and facilitates Software Failure Modes and Effects Analysis (SFMEA) meetings and documentation. High-level failure modes a SFMEA may catch would relate to requirements, functionality, design, timing, sequence/logic/state, data, exception handling, interfaces (including UI/UX), coding, memory, and algorithm defects.
• Creates behavior models and state diagrams for analysis using Markov Chains or similar methods. 
• Participates in software design meetings and code reviews from multiple viewpoints (e.g., Functional, Interface, Detailed, Maintenance, Usability, Serviceability, Vulnerability, Process)
• Tracks software defects and failures over time, with the ability to create actionable insights, metrics, and investigate with Software Root Cause Analysis (RCA) approaches. Reports actionable insights and reliability recommendations back to engineering and the program management organization.
• Calculates Software Failure Rate / Mean Time Between Failures (MTBF) utilizing one or more of the methods described in IEEE-1633, to include in terms of Effective 1k Source Lines of Code (EKSLOC)
• Recommends changes to software code, architecture, or processes to increase software reliability.
• Promotes a Design-for-Test mindset within the software development organization.
• Promotes a culture of continuous improvement, challenging technical or use case assumptions.
• Integrates with MBSE Modeling to incorporate R&M paramters into modeling and simulation tools.
• Collaborate with Software team for SFMEA development, root cause analysis of field observations of software bugs, faults, or failures.
• Research new SWRE methods for effectiveness to specific applications, such as SW Reliability Growth.
• Creates professional, data-driven presentations for briefing technical decisions or recommendations both to internal stakeholders and external vendors/customers.

Essential Functions:

• Ability to productively use desktop software applications such as MS Office Tools (e.g., Outlook, Word, Excel, PowerPoint, Visio) and related software tools, is required.
• Works effectively and efficiently in a virtual environment with tools such as MS Teams, Atlassian Jira, etc.
• Proficiency in advanced Excel methods (data structures, pivot tables, manipulation, transformation and visualization) is highly preferred.
• Technical understanding of electronic components / computer hardware concepts is a plus.
• Technical understanding of troubleshooting complex failure modes which include the interactions between software and hardware is a plus.
• Ability to interpret and work in a Model Based Systems Engineering (MBSE) environment to understand the system deisgn and contribute to system modeling in Cameo.
• Proactive mindset, with the ability to anticipate potential Reliability challenges and develop effective mitigation strategies.
• Possesses strong understanding and use of reliability software tools (e.g., ReliaSoft, Relex (PTC Windchill), Reylence).
• Statistical analysis experience using software tools such as MiniTab, JMP, R, MatLab, or similar.
• Experience in data mining using business tools, SQL, PowerBI, Tableau, Alteryx, or similar data visualization tool.

Qualifications:

• Bachelor’s Degree and minimum 6 years of prior relevant experience. Graduate Degree and a minimum of 4 years of prior related experience. In lieu of a degree, minimum of 10 years of prior related experience.
• Ability to obtain and maintain a DoD security clearance, which requires U.S. citizenship.

Preferred Additional Skills:

• Active DoD security clearance.
• Degree in Electrical/Mechanical Engineering, Systems Engineering, Computer Science, Mathematics, Physics, or similar educational background preferred.
• Knowledge and experience in the Aerospace/Defense sector.
• Understands failure modes and mechanisms at a physical level (e.g., mechanical, electrical, thermal, optical), and at the software level (i.e., Built-in-Test (BIT), interfaces, etc…).
• Calculates Built-in-Test (BIT) Fault Detection Rate (FDR), Fault Isolation Rate (FIR), and False Alarm Rate (FAR) to support Testability analysis.
• Collaborated with Software Development team for Design for Test with Built-in-Test (BIT) / Built-in-Test Equipment (BITE).
• Promotes a culture of Reliability Centered Maintenance (RCM), implements Predictive Maintenance (PdM) processes, and recommends both logistical and engineering opportunities to improve long-term sustainability of the systems through a mission readiness lens. Knowledge of Prognostics Health Management (PHM) or Condition Based Maintance plus (CBM+) is a plus.
• Participates in safety analyses, including Human Machine Interface (HMI) and other Human Factors design pricipals, as it relates to mission operation and success.
• Familiarity with Agile development methods (e.g., Scrum, SAFe), DevSecOps, CI/CD, containerization.
• Knowledge and experience in advanced Optical Systems, EO/IR Sensors, or ISR applications.
• Knowledge of Model Based Systems Engineering (MBSE) principals, methods, and tools.
• Statistical methods and distributions associated with reliability engineering (e.g., exponential, Weibull).
• Reliability prediction methodologies (e.g., MIL-217, VITA 51).
• FRACAS expereince.
• Integrated Logistics Support (ILS) / Integrated Product Support (IPS) experience.
• Verification and Validation (V&V) experience or Integration and Test (I&T) experience.
• Environmental Testing / Qualification (ESS) experience.
• Knowledge of databases and data mining / big data analytics / predictive analytics.
• Knowledge of any of the following documents: MIL-STD-2155, MIL-HDBK 217, MIL-HDBK 338, MIL-STD 1629, MIL-HDBK 470, TA-HB-0009, SAE ARP5580, SAE 1025
• Experience working under an AS9100 / ISO9001 Quality Management System.
• ASQ Certified Reliability Engineer (CRE) Certification or similar.
• Excellent oral and written communication skills.
• Strong organizational and time management skills.
• Be dynamic and adaptable to change.
• Have a strong desire to learn, possess good interpersonal skills and decision making/critical thinking skills.
• The essential physical requirements of the position will be reviewed with the applicant during the interview.

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