Materials Health Monitoring Lead for Fusion Systems

U.S. Fusion Energy; Energy (IL); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Medical plan

Dental plan

Vision plan

31 Days of PTO

10 Paid holidays

Company-wide winter break

401(k) match 5%

Short term disability

Long term disability

Life insurance

Paid parental leave

Annual wellness stipend

Job summary

U.S. Fusion Energy seeks a senior leader to develop in-situ and ex-situ diagnostics for fusion generators, translating failure modes into measurable signals and integrating these diagnostics into hardware and predictive models.

Collaborating across teams, you will advance materials health monitoring with expertise in NDE/SHM, data analytics, and coupled-stimuli experiments, driving innovation in a high-tech energy environment.

Qualifications

• BS with 10+ years or MS/PhD with 5+ years in Materials Science, Applied Physics, or Nuclear Engineering.
• Expertise in materials diagnostics, NDE, or SHM and experience with coupled-stimuli experiments.
• Ability to translate failure modes into measurable signals and integrate diagnostics into hardware and predictive models.

Responsibilities

• Lead the development of materials health monitoring, translating failure modes into measurable signals.
• Collaborate cross-functionally to translate failure modes into measurable signals and integrate diagnostics into hardware and predictive models.

Skills

Materials Diagnostics

Non-Destructive Evaluation

Structural Health Monitoring

Python

Data Analysis

Feature Extraction

Post-Irradiation Examination

Sensor Integration

Thermomechanical Stress Analysis

Radiation Effects

High-Voltage Systems

Experimental Design

Microstructural Evolution

Predictive Modeling

Materials Science

Education

Bachelor's degree with 10+ years

Master's or PhD in relevant field with 5+ years

Job description

U.S. Fusion Energy seeks a senior leader to develop in-situ and ex-situ diagnostics for fusion generators, translating failure modes into measurable signals and integrating these diagnostics into hardware and predictive models.

Collaborating across teams, you will advance materials health monitoring with expertise in NDE/SHM, data analytics, and coupled-stimuli experiments, driving innovation in a high-tech energy environment.