NLR is seeking a part-time undergraduate intern to support ongoing research and operational activities at the High Flux Solar Furnace (HFSF). Working under the direct guidance of experienced engineering staff, the intern will assist with daily laboratory operations, experimental testing setups, and support efforts to modernize and automate facility hardware. Job duties will include:Extreme Environment Testing Support: Assisting engineering staff with setting up and executing thermal tests on experimental hardware, utilizing principles of hardware testing in extreme environments (similar to aerospace or collegiate-level rocket/payload testing). Temperature Control and Automation Assistance: Supporting efforts to transition manual laboratory setups to automated operations, specifically assisting with the implementation and testing of closed-loop PID temperature control systems. Data Acquisition (DAQ) Support: Helping to configure, calibrate, and troubleshoot DAQ instrumentation using Lab. VIEW and National Instruments (NI) hardware to monitor furnace sensors (drawing on experience with automotive or team-based DAQ setups). CAD and Mechanical Design: Utilizing Solid. Works to draft and model custom mounting brackets, sensor fixtures, and structural components for the furnace. Software and Interface Development: Assisting with script writing and the development of basic web-based monitoring tools using Python, Django, and React to display real-time data from HFSF instrumentation.. Basic Qualifications. Minimum of a 3.0 cumulative grade point average. Undergraduate: Must be enrolled as a full-time student in a bachelor’s degree program from an accredited institution. Post Undergraduate: Earned a bachelor’s degree within the past 12 months. Eligible for an internship period of up to one year. Graduate: Must be enrolled as a full-time student in a master’s degree program from an accredited institution. Post Graduate: Earned a master’s degree within the past 12 months. Eligible for an internship period of up to one year. Graduate PhD: Completed master’s degree and enrolled as PhD student from an accredited institution. Please Note: - Applicants are responsible for uploading official or unofficial school transcripts, as part of the application process. - If selected for position, a letter of recommendation will be required as part of the hiring process. - Must meet educational requirements prior to employment start date. - Must meet educational requirements prior to employment start date. Additional Required Qualifications. Currently enrolled as an undergraduate pursuing a degree in Mechanical Engineering or a closely related field. Experience with Solid. Works is highly desired/required. Hands-on academic or project experience with Lab. VIEW and National Instruments (NI) DAQ hardware. Experience with basic scripting in Python. Preferred Qualifications. Certified Solid. Works Professional (CSWP) designation is highly preferred. Hands-on experience designing and building closed-loop PID temperature control systems using Lab. VIEW and National Instruments (NI) DAQ hardware. Experience developing data acquisition (DAQ) systems. Background in hardware testing for extreme environments. Familiarity with full-stack software development and frameworks (specifically Python, Django, etc.) for system monitoring or data visualization. Experience with signal processing or hardware decoding systems (e.g., DTMF decoding).. Job Application Submission Window. The anticipated closing window for application submission is up to 30 days and may be extended as needed.