Join a team dedicated to designing and producing armored combat and support vehicles. As a prime mover in ground force capabilities, this firm provides innovative solutions that ensure the safety and effectiveness of military personnel worldwide, focusing on durability, mobility, and performance.
Responsibilities:
Provide technical expertise in Predictive Maintenance (PdM) technologies for combat vehicles as part of the Digital Systems Software Engineering (DSSE) team.
Collaborate with cross-functional teams to deliver PdM capabilities and software products, integrating and testing them at the subsystem and vehicle level.
Implement condition monitoring systems and analyze sensor data to forecast equipment health and identify potential failures.
Develop and apply predictive models to forecast equipment failure and maintenance needs.
Prepare documentation and reports on PdM activities, including equipment health, predictive analytics, and system performance.
Provide technical support for installing, configuring, maintaining, and updating PdM tools and software systems.
Continuously research and improve PdM processes and technologies, staying up-to-date with the latest innovations.
Qualifications:
Education: Bachelor's degree in Engineering (Mechanical, Electrical, Industrial, Data Science, Computer Science, or a related field).
Experience: Minimum of 3 years in Maintenance or Reliability Engineering.
Proficiency in data analysis tools (Python, R, MATLAB) and machine learning techniques.
Strong technical skills in troubleshooting hardware and software related to PdM systems.
Familiarity with sensors, data acquisition systems, and condition monitoring techniques (e.g., vibration analysis, thermography).
Experience with maintenance management software (CMMS, EMS) and PdM software.
Strong data analysis, machine learning, and predictive modeling skills.
Knowledge of networking principles as applied to connected maintenance systems.
Ability to create and maintain technical documentation and user guides.
Certifications (Preferred):
Certified Maintenance and Reliability Technician (CMRT) or Certified Reliability Engineer (CRE).
Machine learning or data science certification (Certified Analytics Professional, CAP).
Additional Information:
May require eligibility to obtain a U.S. security clearance (Non-U.S. Citizens may not be eligible).
Moseley Technical Services, Inc. (Moseley) was incorporated in 1994 to provide engineering and professional services to the aerospace/defense, manufacturing, government, and commercial industries. Our Mission is to deliver superior service to our customers and employees. We have been successful in our vision by building long-term relationships with customers and employees through integrity, transparency, and appreciation.
We stand by our 30 year-old commitment of "World Class Service. World Class Company."
Moseley Technical Services, Inc. is an AA/EEO/Veterans/Disabled Employer.
Applicants selected for employment will be required to pass a pre-employment drug screening and background investigation which may include education, criminal and work history verifications.
Accepted applicants will have the opportunity to be eligible for benefits, including medical and supplemental insurance and a 401K. Appreciation and gratitude for employees is a hallmark of organizations with low turnover.
Final Pay offered will be based on experience.
Resources
To apply, send resume to: resumes@moseleytechnical.com
For more active job openings: https://careers.moseleytechnical.com/jobs
For more information about Moseley visit: http://www.moseleytechnical.com/about-us/
