Forensic Mechanical Engineer Intern – HVAC & Building Systems

Thornton Tomasetti; New York (NY); On-site; USD 34,000 - 48,000; Full time

Benefits offered by this job

Medical, Dental, Vision, Life, AD&D, &

Paid Time Off

Tuition Reimbursement

Commuter Transit

401k matching

Fitness Reimbursement

Job summary

Thornton Tomasetti is seeking a Mechanical Engineer Intern for the Forensics Practice in New York. You will gain hands‑on experience investigating HVAC and building systems failures, damage, and performance issues across commercial facilities.

This full‑time co‑op position runs for Winter 2027 and offers exposure to forensic methodologies in a team setting. You will assist field investigations, document conditions, and collect data for analysis, while supporting evaluations of system performance

Qualifications

• Undergraduate or graduate student pursuing a mechanical engineering degree.
• Strong academic record and interest in building systems and forensic problem-solving.
• Experience with AutoCAD, Revit, or HVAC analysis tools is a plus but not required.

Responsibilities

• Assist in field investigations of HVAC and building systems, documenting conditions, and collecting data for analysis.
• Support evaluations of system performance and failure modes using engineering tools and forensic techniques.
• Help prepare technical reports and exhibits for clients and legal proceedings.
• Collaborate with multidisciplinary teams to develop practical solutions for repair or mitigation.

Skills

AutoCAD

Revit

HVAC analysis

Education

Mechanical engineering degree (Bachelors or Masters)

Job description

Thornton Tomasetti is seeking a Mechanical Engineer Intern for the Forensics Practice in New York. You will gain hands‑on experience investigating HVAC and building systems failures, damage, and performance issues across commercial facilities.

This full‑time co‑op position runs for Winter 2027 and offers exposure to forensic methodologies in a team setting. You will assist field investigations, document conditions, and collect data for analysis, while supporting evaluations of system performance