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Software Specialist

1 month ago

Sterling Heights, Michigan, United States General Dynamics Full time
About the Role

The function of this position is to provide technical expertise and support for Predictive Maintenance (PdM) Technologies for our Combat Vehicles.

This position will be part of our Digital Systems Software Engineering (DSSE) team. Our mission is to investigate, develop, and demonstrate PdM capabilities for GDLS vehicle platforms.

The team works as part of a cross-functional team with responsibility and authority to deliver PdM capabilities and associated software products with the goal of integrating and testing them at the subsystem and vehicle level.

Company Information

General Dynamics is a successful Fortune 100, global aerospace and defense company, with over 90,000 employees world-wide.

General Dynamics Land Systems, a business unit of General Dynamics, has a strong foundation of delivering core engineering and manufacturing capabilities to our clients for military vehicles.

Our team is focused on continuous process and productivity improvements that reduce product costs, while increasing troop safety and effectiveness.

Land Systems continues to work with the US Armed Forces and its Allies to ensure these vehicles remain survivable, relevant, flexible, affordable and capable of addressing a dynamic threat environment.

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.
Qualifications
  • Must hold a bachelor's degree from an accredited 4-year university or college with a discipline 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).
  • Technical skills: Proficiency in troubleshooting hardware and software technologies related to PdM systems, Familiarity with sensors and data acquisition systems of condition monitoring (example-vibration analysis thermography), Strong skills in data collection and processing data 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 end how they apply to connected maintenance systems, Documentation - ability to create and maintain technical documentation and user guides, Defense Industry knowledge, Awareness of relevant regulations and standards affecting the maintenance and reliability.
  • Soft skills: Strong verbal written communication, and presentation skills, Ability to work well in a team environment and collaborate with engineers, technicians, and other stakeholders, Problem solving and analytical skills to identify issues, troubleshoot problems and find solutions, Time management - ability to prioritize tasks and manage time efficiently.
Additional Information

This position may require eligibility to obtain a US security clearance. (Non-US Citizens may not be eligible to obtain a security clearance)

GDLS considers factors such as, scope/responsibilities of the position, candidate experience, education/training background, in addition to local market comparable and business considerations when extending an offer.