Software Specialist Platform Predictive Logistics

About the position

The Platform Predictive Logistics Specialist role at General Dynamics Land Systems involves providing technical expertise and support for Predictive Maintenance (PdM) Technologies for combat vehicles. The position is part of the Digital Systems Software Engineering (DSSE) team, focusing on developing and demonstrating PdM capabilities. The specialist will collaborate with cross-functional teams to deliver PdM capabilities and associated software products, ensuring integration and testing at both subsystem and vehicle levels.

Responsibilities

• Collaborate with engineering and operations team to ensure effective implementation of predictive maintenance strategies.
• Implement and manage condition monitoring systems to track equipment health.
• Collect and analyze data from various sensors and systems to identify potential equipment failures.
• Develop and apply predictive models to forecast equipment failure and maintenance needs.
• Prepare and maintain documentation related to PdM activities including equipment health, predictive analytics, maintenance and reports on system performance and issues.
• Provide technical support for the installation, configuration, and maintenance and updating of PdM tools and software systems and equipment.
• Continuously improve predictive maintenance processes and technologies through research and innovation and stay updated with latest technologies and best practices.
• Perform other duties as assigned.

Requirements

• Bachelor's degree in Engineering (Mechanical, Electrical, Industrial, Data Science, Computer Science, Computer Engineer or similar).
• Minimum of 5 years experience in Maintenance Engineering or Reliability Engineering.
• Proficiency with data analysis tools (i.e., Python, R, MATLAB) and machine learning techniques.
• Proficiency in troubleshooting hardware and software technologies related to PdM systems.
• Familiarity with sensors and data acquisition systems of condition monitoring (e.g., vibration analysis, thermography).
• Strong skills in data collection and processing from various sources (e.g., sensors, database).
• Strong data analysis skills and experience with machine learning algorithms.
• Experience with maintenance management software (CMMS, EMS systems) and PdM software.
• Knowledge of networking principles and their application to connected maintenance systems.
• Ability to create and maintain technical documentation and user guides.
• Awareness of relevant regulations and standards affecting maintenance and reliability.

Nice-to-haves

• Certified maintenance and reliability technician (CMRT) or Certified reliability engineer (CRE) by Society for Maintenance and Reliability Professionals (SMRP).
• Machine learning or data science certification from Certified Analytics Professional (CAP) or similar organizations.

Benefits

• Healthcare including medical, dental, vision, HSA and Flex Spending
• Competitive base pay and incentive pay
• 401k Match (6%)
• Educational Assistance
• 9-80 Work Schedule
• On-going learning opportunities
• Onsite Cafeteria, Fitness Center, and Outdoor fitness track