Cycle Performance Engineer, Turbomachinery | Equity

Doist; Torrance (CA); On-site; USD 140,000 - 215,000; Full time

Benefits offered by this job

Competitive base salary

Equity ownership

Comprehensive medical benefits

Unlimited PTO

Free daily lunch and dinner onsite

PPE stipend

Job summary

Valar Atomics is seeking a turbomachinery aerodynamics engineer to advance power generation capability. You will model cycle performance for cutting edge turbomachinery and influence system architecture decisions as an early team member.

The role requires a PhD? actually a Bachelor's + 3 years experience in cycle analysis; you will work with a cross-functional team to define a high efficiency, producible cycle design and calibrate models against test data.

Qualifications

• Bachelor's degree in Mechanical or Aerospace Engineering is required.
• 3 years of experience analyzing thermodynamic cycles in a thermodynamic solver.
• Strong modeling and data interpretation skills.
• Excellent collaboration across cross-functional teams.

Responsibilities

• Develop and maintain a thermodynamic model of the power conversion system.
• Aggregate, interpret and integrate the contributions of component owners into the overall cycle model.
• Partner with turbomachinery, secondary flow, and heat exchanger owners to input their component performance into the system model.
• Define instrumentation plans to calibrate the cycle model to tested results.
• Evaluate system level trades to drive the cycle to the optimal business outcome.

Education

Bachelor's degree in Mechanical or Aerospace Engineering

Job description

Valar Atomics is seeking a turbomachinery aerodynamics engineer to advance power generation capability. You will model cycle performance for cutting edge turbomachinery and influence system architecture decisions as an early team member.

The role requires a PhD? actually a Bachelor's + 3 years experience in cycle analysis; you will work with a cross-functional team to define a high efficiency, producible cycle design and calibrate models against test data.