2027 TMP Tech & NPI Entry Level Engineering Rotation - MS/PHD

Solar Turbines•San Diego, CA

11d•$92,500 - $118,000•Onsite

About The Position

The Turbomachinery Technology and New Product Introduction (NPI) team is seeking passionate, entry level engineers with advanced degrees (Master’s or PhD) specializing in gas turbine aerodynamics, heat transfer, performance, combustion, additive manufacturing technology, or mechanical/aerospace engineering bachelor’s degree with a data science Master/PhD to join our team. The successful candidate will be a part of an Engineering Rotation program designed to accelerate development and lay a strong foundation for long-term success. Through immersive, hands-on rotations, you’ll gain skills, experience, and networks to become one of the next generation’s most capable and innovative engineers. Candidates are matched with a core functional department that aligns with their strengths and career aspirations. The program consists of two (2) to three (3) rotations, each lasting 16-20 weeks, within departments that complement the candidate’s long-term placement. These rotations strengthen enterprise understanding, broaden product knowledge, and support a seamless transition into their engineering career.

Requirements

In the process of obtaining or have obtained a minimum of a Master’s degree in an accredited engineering program such as Mechanical, Aerospace, Chemistry, Materials etc
Overall GPA of 2.8 on a 4.0 scale.
Applied knowledge of engineering fundamentals.
Experience with problem-solving tasks.
Strong verbal and written communication skills.
Must be able and willing to relocate to San Diego, CA and be in office full time.

Nice To Haves

Experience (Course work or internship) in turbomachinery concepts
High energy level and sense of urgency.
Demonstrated success in weighing business and technical decisions.
Ability to handle multiple priorities for a variety of tasks.
Previous co-op or Internship experience.
Problem solving skills.

Responsibilities

Leverage conceptual, preliminary and detailed aerodynamic tools to design and analyze turbine and compressor flowpath components, including airfoils, ducts, diffusers and collectors.
Work closely with other disciplines to ensure that aerodynamic designs meet program requirements for manufacturability, cost, durability and performance.
Contribute to the development and maintenance of 1D, 2D, and 3D design and analysis tools that enable aerodynamic and multidisciplinary gas turbine design. Utilize state-of-the-art Computation Fluid Dynamics (CFD) simulations to optimize and design turbine hardware.
Conduct studies to develop and calibrate performance predictions for new or upgraded engines and oversee performance during development.
Support production tests and product support efforts using performance predictions and data analysis tools.
Develop and maintain software used to analyze, predict, and guarantee the performance of Solar’s products.
Provide services and software critical to the success of Turbomachinery Product design, Sales and Applications, Customer Services, Overhaul facilities, and customer sites.
Analyze engine data from tests to troubleshoot and monitor the aeromechanical behavior and performance of each product line.
Produce transient cycle models to create advanced AI-based digital twins that will unlock extending service intervals, cycle count capabilities, and increase efficiency through operational flexibility.
Design the cooling circuits and create thermal models of various components including cooled blades and nozzles, turbine disks, diaphragms, pre-swirler, etc. as part of a cross-functional design team.
Distribute the secondary cooling air throughout the engine to provide adequate cooling to the turbine section components by using 1-D flow codes for straightforward flow geometry and CFD for more complex flow situations.
Design, analyze and validate creative solutions to reduce cooling flow consumption to enhance engine performance and/or improve durability.
Provide thermal model predictions through a transient cycle to understand seal and rotor tip behavior as well as overall engine displacement. Support analyses such as heat rejection to the lube oil system and surrounding enclosure ventilation to size and assess ancillary package systems.
Leverage Knowledge of chemical kinetics, oscillations, and other combustion system modeling tools and experimental methods employed to optimize emissions, stability, and operational flexibility.
Design and analyze injectors and combustor liners to enhance fuel-air mixing and thermal performance.
Collaborate with multidisciplinary teams to integrate combustion system advancements into turbine products.
Utilize computational and experimental techniques to validate design concepts and optimize performance.
Characterize metallurgical and mechanical properties of commercially available and emerging AM Alloys (Nickel, Stainless Steels). Collaborate with external partners (Universities, Labs) to qualify new AM alloys. Work closely with engineering teams to create material properties design curves and qualify new AM components.
Use Technology Readiness Level (TRL) framework to direct development programs to advance AM technologies including distortion prediction, low angle printing techniques, advanced surface finishing, print parameter optimization, beam shaping, microstructure control, and process monitoring/quality assurance techniques. Identify new candidate AM components and identify pathways to resolve associated technology gaps.
Document best practices for AM design and manufacturing. Lead periodic in-house training for engineering staff and serve as AM technology subject matter expert for component design teams. Support manufacturing, design, and field with root cause/corrective action activities. Monitor industry and university AM technology advancements and identify high potential areas.
Leverage knowledge of stress, strain, fatigue, and mechanics of materials to interpret model outputs and ensure alignment with physical design principles.
Collaborate with mechanical engineers to analyze gas turbine component designs and identify opportunities for improving durability, and manufacturability.
Develop and validate machine learning models using test data, simulation outputs, and operational metrics to support design decisions and reduce development cycles.
Assist in embedding data science tools and models into existing design workflows and software platforms to enable real-time feedback and automation.
Create clear, actionable dashboards and visualizations to communicate insights to cross-functional teams, including design, manufacturing, and reliability engineering.