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Turbomachinery Analyst-Durability

california, mo • Posted 1 weeks ago
Hybrid Contract Investing & Investment Banking

Job Details

  • Location: Brisbane, CA / San Francisco (Hybrid)
  • Pay: $136,000 per year ($65.38 per hour)
  • Shift: 1st Shift
  • ZIP Code: 94005
  • Job Type: Contract‑to‑Hire or Direct Hire (contractor full‑time convertible to salaried full‑time)
  • Start Date: ASAP

Scope & Ownership

Owns product life and materials support across the engine: component life (LCF / HCF / creep / oxidation), materials & processes (M&P) and materials science, and general FEA / ANSYS 'surge' capacity for the subsystem teams. Crossover: lifingstructuresthermal across all subsystems.

Minimum Education

  • Bachelor's in Mechanical, Aerospace or Materials Engineering
  • Master's or PhD preferred

Experience

  • 4–8 years in component life/durability or materials & processes, or a relevant PhD plus ~2 years
  • Component life calculations for static and rotating parts (fatigue, creep, oxidation)

Skill Requirements

  • LCF / HCF / creep / oxidation life methods; fracture mechanics
  • Materials selection, processes and qualification
  • NASGRO, fracture mechanics fatigue analysis
  • FEA (ANSYS); probabilistic life methods; Python/Matlab

Responsibilities

  • Interface with Responsible Engineers to provide inputs for design, generate predictions for candidate designs, and ensure that REs have a clear understanding of the physical phenomena they are dealing with
  • Prepare, run, and post‑process relevant simulation models including FEA, CFD, and Heat Transfer as applicable
  • Analyze test, qualification, and field data in collaboration with REs to qualify hardware and maintain fleet reliability
  • Drive simplicity into the Parallax analysis stack by developing simplified and reduced‑order models that conservatively capture physical phenomena at the minimum level of complexity that enables functional hardware

Equal Employment Opportunity Statement

Belcan is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

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