Systems Engineering Intern

Company Overview

ProJMentor is a learning ecosystem centered on systems thinking, aiming to equip students and early professionals with profound technical and systemic understanding. The organization specializes in areas including Finite Element Analysis (FEA), Computational Fluid Dynamics (CFD), Heating, Ventilation, and Air Conditioning (HVAC), Artificial Intelligence/Machine Learning (AI/ML), High Performance Computing (HPC), analytics, and system design. Learning is hands-on, community-driven, and personalized through various technical pathways, featuring live projects, client-like simulations, and executive-style pitching that link engineering choices to business results. Besides education, ProJMentor provides selective enterprise consultancy using its systemic insights.

Role Summary

The Systems Engineering Intern is a remote position focused on experiential learning and active participation in system-related projects. Responsibilities include supporting system architecture design, conducting analyses, and documenting findings while collaborating with mentors and multidisciplinary teams on simulation models and real-world challenges. Daily tasks involve troubleshooting, system administration, offering technical support, and assessing system behavior trade-offs considering realistic limitations. Interns also aid in refining tools, processes, and training materials through group workshops and iterative feedback sessions. This opportunity enhances system thinking, technical acumen, and the capacity to integrate engineering decisions within operational and commercial contexts.

Qualifications and Skills

• Proficiency in Systems Engineering and Systems Design fundamentals
• Experience or knowledge in troubleshooting and delivering technical support
• Understanding of system administration and basic infrastructure concepts
• Strong analytical skills, problem-solving aptitude, meticulousness, and organized reasoning
• Background or familiarity with engineering disciplines such as mechanical, electrical, or computer engineering, or allied fields
• Pursuing or recently completed an engineering, computer science, or related technical degree
• Comfortable with remote teamwork platforms and effective written and verbal communication
• A continuous learning mindset and motivation to grow
• Bonus: Interest or exposure to simulation technologies, AI/ML, or HPC