CAMS
APM Predictive Analytics Engineer Intern
Houston, Texas · On-site · Internship · Posted Sep 11, 2026
- Education
- Enrolled in an accredited BS/MS program in Engineering, Applied Physics, Applied Mathematics, Industrial Engineering, Systems Engineering, Statistics, Quantitative Finance, or a related field.
- Visa sponsorship
- Applicants must be legally authorized to work in the United States and must not require employer-sponsored work authorization now or in the future.
About the job
Monitors and diagnoses power-generation equipment using predictive analytics, develops performance models, and supports thermal analysis and reliability decisions.
What you'll do
- Use APR software to assess equipment conditions, triage issues, and recommend actions to plant contacts.
- Develop, tune, and implement models in Prometheus APM; alert teams to equipment anomalies.
- Analyze data and thermal performance, communicate findings, and recommend actions to improve decisions and quantify avoided costs.
What they ask for
- Currently enrolled in an accredited BS/MS program in a listed or related field.
- Minimum 3.0 GPA.
- Proficient in data engineering, analysis, and advanced visualizations with large datasets.
- Working knowledge of advanced pattern recognition, thermal performance, or condition-based predictive diagnosis software.
Nice to have
- GPA of 3.5 or higher.
- Familiarity with rotating components and field instrumentation.
Pay
USD 20–25 (per-hour-wage) base salary
Tools
Prometheus APM, Microsoft 365, Outlook, Word, Excel, PowerPoint
AI focus
Develops and applies predictive analytics and advanced pattern recognition models to monitor equipment performance, predict component health, and diagnose conditions.
Model-written summary · the original posting is authoritative