Prognostics & Diagnostics Engineer

About the role

The Prognostics Engineer will oversee the entire lifecycle of diagnostic and prognostic health monitoring technology for equipment used in the process control industry. Emphasis will be on implementation and support of physics and data driven predictive models and extension of algorithms to new applications and use cases.

Responsibilities

• Design, develop, test, and deploy prognostic and advanced diagnostic algorithms for industrial control valves and associated equipment
• Collaborate with a diverse team of Engineers, Data Scientists, SMEs and Collaborators to create and integrate prognostics solutions into systems
• Analyze and interpret data from sensors, diagnostics, and maintenance records to identify failure modes, trends, and anomalies
• Create algorithms to detect fault conditions and figure out remaining useful life (RUL) of the system based on sensor data, failure modes, and degradation models
• Determine the optimal type, number, and location of sensors for the system based on the prognostic objectives, performance criteria, and constraints
• Create clear, concise, and verifiable engineering requirement documents and engineering plans to achieve project goals

Requirements

• Bachelor’s degree in Science, Technology, Engineering and Mathematics or in any applicable field
• 5+ years relevant industry experience or a equivalent combination of education and experience
• Experience with developing and applying prognostic algorithms and models for complex systems and components
• Familiarity with various prognostics and diagnostics approaches, such as physics-based, data-driven, and hybrid
• Experience at collaborating with diverse global work groups
• Strong mathematical and analytical skills for investigating complex technical problems
• Experience with engineering and signal processing development tools
• Knowledge of machining learning, data science, and statistical methods
• Excellent communication, teamwork, and problem-solving skills
• Familiarity with industrial control systems, sensors, and diagnostics

Qualifications

• Preference will be given to those who have earned advanced degrees
• Hands-on laboratory classwork related to measurement and instrumentation and experience with sensors and general metrology, modelling of physical systems and algorithm development are considered a plus
• Control valve business knowledge and experience desired
• Experience with predictive model development is desired

Skills

• Customer-first mindset
• Good understanding of data analysis and algorithm development
• Hands-on laboratory investigation
• Written and verbal communication of results

Benefits

• Flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave
• Comprehensive portfolio of software and technology
• Employee development programs
• Equitable opportunities, celebration of diversity, and embrace of challenges

Pay

Details TBD

Schedule

Details TBD