R&D Engineer: Predictive Maintenance & System Readiness

The Applied Research Laboratory at Penn State University; University Park (TX); Hybrid; USD 140,004 - 265,704; Full time

Benefits offered by this job

75% tuition discount

Competitive benefits package

Retirement plans

Job summary

The Applied Research Laboratory at Penn State University in State College, PA, is seeking a highly analytical R&D Engineer to join the Applied Sustainment Technologies Division. You will lead data-driven maintenance analytics, develop predictive models, and deliver engineering assessments impacting Navy and DoD-sponsored projects.

Training starts on-site with subsequent hybrid work as projects allow. ARL welcomes transitioning service members and offers opportunities to influence reliability,

Qualifications

• Experience solving complex analytical or engineering problems using structured methodologies.
• Reliability engineering, failure analysis, or predictive analytics experience.
• Proficiency in technical computing languages such as Python, R, SQL, or similar.
• Strong communication and teamwork skills in multi-disciplinary, collaborative environments.

Responsibilities

• Lead development of analytic methods including ML, anomaly detection, and predictive maintenance models.
• Develop and evaluate reliability models for complex naval or defense systems.
• Translate technical findings into clear, actionable recommendations for technical and executive audiences.
• Build, validate, and document data pipelines, analytics tools, dashboards, and cloud-based environments.
• Collaborate with cross-functional teams for system readiness and engineering change evaluations.
• Contribute to proposals, technical reports, and customer deliverables.
• Provide mentorship and technical guidance across project teams.

Skills

Python

R

SQL

Education

Bachelor's Degree in Engineering or Science

Tools

AWS

GCP

Azure

Docker

Kubernetes

Git

Job description

The Applied Research Laboratory at Penn State University in State College, PA, is seeking a highly analytical R&D Engineer to join the Applied Sustainment Technologies Division. You will lead data-driven maintenance analytics, develop predictive models, and deliver engineering assessments impacting Navy and DoD-sponsored projects.

Training starts on-site with subsequent hybrid work as projects allow. ARL welcomes transitioning service members and offers opportunities to influence reliability,