System Engineer/Data Scientist

  • Full Time
  • Vermont

Website GPMS International Inc

Know It Before It Matters

GPMS ( is a venture-backed technology company developing innovative condition monitoring and predictive maintenance solutions for air and ground vehicles. Foresight MX, the company’s flagship product, is a Health and Usage Monitoring System designed to help OEMs and operators “Know it Before it Matters” and it is deployed on helicopters, drones, eVTOLs, and trucks. and ships. With an edge-to-cloud hardware + software technology suite, GPMS uses smart sensors, signal processing, firmware, connectivity, algorithms and machine learning to deliver powerful machine diagnostics and prognostics. Our mission is simple: optimize maintenance, increase asset availability, and improve safety,
While a background in aviation technology is useful, and a knowledge of vibration- based condition monitoring systems ideal, fundamentally we need a systems-oriented engineer with strong capabilities in math, electrical engineering, software, and mechanical engineering.
• Implement diagnostics strategy and develop models and algorithms derived from underlying physics to evaluate the condition of electro-mechanical systems.
• Create predictive models of physical degradation and data-driven prognostics algorithms to assess the health and performance of critical components.
• Conduct R&D on Prognostic Health Monitoring, Prognostics & Predictive Maintenance (PPMx) and Condition Based Maintenance (CBM)
• Identify new capabilities to facilitate proactive fleet monitoring and enhance reliability.
• Conduct data analysis and interpret sensor data
• Support field testing and validation efforts in real-world environments
• Manage and build diagnostics/prognostics configurations for new and existing platforms
• Develop and adapt hardware + software systems for new platforms (air, land, and sea)
• Supporting system users with troubleshooting and fault validation
• Incorporate feedback into product development and develop Product Roadmap
• Stay current with advancements in the field, particularly in the areas of data-driven
prognostics and physics-based machine learning
• MS in Systems, Electrical, Mechanical, or Aerospace Engineering, or similar field
• Strong background in probability, statistics, signal processing, and predictive modeling
• 5+ years of relevant work experience.
• Knowledge of rotating machinery diagnostics and vibrational analysis
• Work experience in aerospace systems, components, and their failure modes is a plus
GPMS is seeking a multi-disciplined Systems Engineer to work directly under the Chief
Engineer and drive the continued development of the company’s core technology and its

• Work experience directly related to the development of Flight Data Monitoring, Machine Condition Monitoring, or Integrated Vehicle Health Monitoring Systems a plus
• Programming skills, preferably Java and C/C#
• Proficient in data-driven methods, Regression, Machine Learning, etc.
• Familiarity with fault detection and diagnosis methods, and reliability analysis
• Data architectures and data analysis
• Linear algebra
• Digital signal processing
• Linear systems circuits
• Knowledge and application of physical principles and some aerodynamics
• Statistics/probability theory
• Test bench hardware debug
• Matlab©
• Excellent organizational, teamwork, and troubleshooting skills is required
You don’t need everything on this list! If you have never done Fast Fourier Transforms and Time Synchronous Averages that is OK. The most important requirement is that you are smart, knowledgeable, quick to learn, and curious.
Position reports to the Chief Engineer.
This position is based out of our headquarters 30 minutes from Burlington, Vermont, but can be remote for the right candidate. The position requires travel (5-10%) to the field and partner locations.
Salary and overall compensation package will be based on experience. Compensation includes salary and full benefits.
GPMS is an equal opportunity employer.

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