Sr. Structural Analysis Engineer, Electric Powertrain

Bachelor's degree in Aerospace, Mechanical, or a related Engineering field.

2–4 years of FEA experience on structural assemblies, including meshing in ANSA or equivalent pre-processor.

Working knowledge of Nastran for linear static analysis.

Familiarity with results post-processing in Meta, FEMAP, or equivalent.

Basic understanding of structural mechanics: stress, strain, load paths, bolted joint behavior.

Strong attention to detail and organizational skills to manage analysis inputs and outputs across multiple design iterations.

Clear written and verbal communication skills.

Team-oriented mindset with willingness to receive and act on technical feedback.

Academic or internship exposure to rotating machinery, powertrain, or electromechanical structural analysis.

Familiarity with Ansys for nonlinear structural problems.

Experience with Python or MATLAB scripting for FEA pre/post-processing.

Knowledge of composite or metallic aerospace structural analysis methods.

Familiarity with FAA certification requirements for Part 23 or Part 27 aircraft.

Experience with PDM/PLM tools for version-controlled model management.

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $100,000 - $160,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.