Propulsion Cycle Engineer – Turbomachinery & Simulation

Mach Industries Inc.; San Luis Obispo (CA); On-site; USD 115,000 - 195,000; Full time

Benefits offered by this job

Equity participation

Comprehensive benefits

Professional development

Job summary

Mach Industries in San Luis Obispo, California seeks an experienced Cycle Analyst/Designer to guide the engine cycle model toward maturity, validate test data, and develop new cycles from a clean sheet. The analyst will own the cycle deck and collaborate with designers to improve engine capability.

We aim to deliver high‑performance small turbine engines at scale and seek candidates who thrive in fast‑paced, high‑expectation environments.

Qualifications

• BS in Aerospace, Mechanical Engineering or related field.
• Proficiency with NPSS; 2+ years of experience using NPSS.
• 3+ years of relevant experience in a professional environment.
• Fundamental knowledge in engine design, aerodynamics and thermodynamics.

Responsibilities

• Improve cycle model in NPSS and develop cycle models from scratch.
• Create analytical tools to perform basic analysis.
• Develop tools/workflows for speeding up repetitive tasks.
• Work with aerodynamic, structural and mechanical engineers to develop the ultimate components.
• Develop test procedures for determining performance of components.
• Analyze test data with simulation tools to assist in determining performance.
• Communicate cycle results and general engine design knowledge to the team and customers.

Skills

Independent

Flexible

Well-spoken

Education

BS in Aerospace, Mechanical Engineering or related field

Tools

NPSS

Python

NX

Job description

Mach Industries in San Luis Obispo, California seeks an experienced Cycle Analyst/Designer to guide the engine cycle model toward maturity, validate test data, and develop new cycles from a clean sheet. The analyst will own the cycle deck and collaborate with designers to improve engine capability.

We aim to deliver high‑performance small turbine engines at scale and seek candidates who thrive in fast‑paced, high‑expectation environments.