About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Turbomachinery & Power Systems (Gas Turbine Engineering).

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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Role overview

Confidential Client is recruiting entry-level engineers (MS or PhD) for a 2027 Engineering Rotation within its Turbomachinery Technology & New Product Introduction (NPI) organization. This rotational program (2–3 rotations of ~16–20 weeks each) accelerates technical development across disciplines such as gas turbine aerodynamics, heat transfer, performance, combustion, additive manufacturing (AM), and engineering data science. Participants gain hands-on experience, cross-functional exposure, and preparation for a long-term engineering career at the Confidential Client.

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What you’ll do

• Complete 2–3, 16–20 week rotations across turbomachinery functions (aerodynamics, performance, heat transfer, combustion, AM, data science).
• Use 1D/2D/3D design tools and CFD to design and analyze turbine and compressor flowpath components (airfoils, ducts, diffusers, collectors).
• Support thermodynamic cycle and performance studies; develop and calibrate performance predictions and transient cycle models.
• Analyze engine test data, support production tests, and provide product support and troubleshooting.
• Design cooling circuits and thermal models for cooled blades, nozzles, disks, diaphragms, and related components.
• Design and optimize combustion hardware (injectors, liners) and collaborate on combustion system integration.
• Advance AM technology: materials characterization, process maturation, distortion prediction, and DfAM guidance.
• Develop and validate machine learning and data-driven models to support design decisions; integrate tools into engineering workflows and build dashboards for cross-functional teams.
• Collaborate across disciplines to ensure designs meet manufacturability, cost, durability and performance requirements.

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Minimum qualifications

• In process of obtaining or have obtained a Master’s or PhD in Mechanical, Aerospace, Materials, Chemistry, or a related engineering discipline (or a Mechanical/Aerospace BS with a Data Science MS/PhD).
• Overall GPA of 2.8 on a 4.0 scale (or equivalent).
• Applied knowledge of engineering fundamentals and demonstrated problem-solving experience.
• Strong verbal and written communication skills.
• Must be willing and able to relocate to San Diego, CA and work on-site full time (five days per week).

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Preferred qualifications

• Coursework or internship experience in turbomachinery concepts.
• Experience with CFD, transient cycle modeling, or performance analysis.
• Familiarity with additive manufacturing materials/processes and materials characterization.
• Experience with machine learning, data analytics, or engineering software development.
• Prior co-op or internship experience and ability to manage multiple priorities.

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Compensation & benefits

• Base salary range: $92,500 to $118,000 per year. Actual salary will be based on experience and other lawful factors.
• Total rewards include: annual incentive bonus plan, medical/dental/vision beginning day 1, paid time off (vacation, holidays, volunteer), 401(k) with company match, HSA and FSAs, short- and long-term disability, life insurance, parental leave, employee assistance programs, voluntary benefits, employee discounts, and career development programs.
• Relocation assistance is available. Visa sponsorship is not available for this position.
• Employment is contingent on successful completion of a drug screen.

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Location & employment type

• Location: San Diego, CA — this role is onsite (5 days/week).
• Employment type: Full-time. Contract designation may apply to certain program elements.

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.