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

Solar Turbines•San Diego, CA

2d•$92,500 - $118,000•Onsite

About The Position

To establish a strong foundation, the successful candidate will be a part of an Engineering Rotation program that is a purpose-driven initiative designed to accelerate your 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. During the selection process, 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, 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.
Turbine and Compressor Aerodynamics
Application of Gas Turbine Aerodynamic Principals
Multidisciplinary Design and Integration
Simulation and Methods Development
Gas Turbine Performance Engineering
Concept and Advanced Thermodynamic Cycle Studies
Production Tests and Product Support
Software Development and Maintenance
Critical Services and Software
Engine Data Analysis
Transient Cycle Models
Gas Turbine Heat Transfer Design and Analysis
Turbine Component Design
Secondary Cooling Flow Management
Develop Innovative Design Solutions
Overall Engine Thermal Management
Gas Turbine Combustion Engineer
Application of Combustion Fundamental
Combustion hardware optimization
Cross-functional integration
Progress innovative design solution
Engineering Data Scientist
Engineering Fundamentals Application
Design Optimization Support
Predictive Modeling
Workflow Integration
Visualization & Communication

Responsibilities

Application of engineering fundamentals.
Experience with problem-solving tasks.
Applied knowledge of engineering fundamentals.
Experience with problem-solving tasks.
Turbine and Compressor Aerodynamics: Leverage conceptual, preliminary and detailed aerodynamic tools to design and analyze turbine and compressor flowpath components, including airfoils, ducts, diffusers and collectors.
Multidisciplinary Design and Integration: Work closely with other disciplines to ensure that aerodynamic designs meet program requirements for manufacturability, cost, durability and performance.
Simulation and Methods Development: 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.
Concept and Advanced Thermodynamic Cycle Studies: Conduct studies to develop and calibrate performance predictions for new or upgraded engines and oversee performance during development.
Production Tests and Product Support: Support production tests and product વિproduct support efforts using performance predictions and data analysis tools.
Software Development and Maintenance: Develop and maintain software used to analyze, predict, and guarantee the performance of Solar’s products.
Critical Services and Software: Provide services and software critical to the success of Turbomachinery Product design, Sales and Applications, Customer Services, Overhaul facilities, and customer sites.
Engine Data Analysis: Analyze engine data from tests to troubleshoot and monitor the aeromechanical behavior and performance of each product line.
Transient Cycle Models: 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.
Turbine Component Design: 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.
Secondary Cooling Flow Management: 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.
Develop Innovative Design Solutions: Design, analyze and validate creative solutions to reduce cooling flow consumption to enhance engine performance and/or improve durability.
Overall Engine Thermal Management: 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.
Application of Combustion Fundamental: Leverage Knowledge of chemical kinetics, oscillations, and other combustion system modeling tools and experimental methods employed to optimize emissions, stability, and operational flexibility.
Combustion hardware optimization: Design and analyze injectors and combustor liners to enhance fuel-air mixing and thermal performance.
Cross-functional integration: Collaborate with multidisciplinary teams to integrate combustion system advancements into turbine products.
Progress innovative design solution: Utilize computational and experimental techniques to validate design concepts and optimize performance.
Engineering Fundamentals Application: Leverage knowledge of stress, strain, fatigue, and mechanics of materials to interpret model outputs and ensure alignment with physical design principles.
Design Optimization Support: Collaborate with mechanical engineers to analyze gas turbine component designs and identify opportunities for improving durability, and manufacturability.
Predictive Modeling: Develop and validate machine learning models using test data, simulation outputs, and operational metrics to support design decisions and reduce development cycles.
Workflow Integration: Assist in embedding data science tools and models into existing design workflows and software platforms to enable real-time feedback and automation.
Visualization & Communication: Create clear, actionable dashboards and visualizations to communicate insights to cross-functional teams, including design, manufacturing, and reliability engineering.