Snapshot of your day

We are looking for a highly skilled Research and Development Engineer to join our team. This role focuses on system level modeling, simulation, and software development to support the design, analysis and optimization of gas turbine performance and operability. The ideal candidate will bridge the gap between component-level engineering and full-engine system behavior through advanced tools and programming. The ideal candidate also should have a good understanding of component integration and large gas turbine fundamentals. Key responsibilities include gathering requirements, developing, documenting, deploying and maintaining system level tools.

How you'll make an impact

Develop and maintain system-level models for gas turbines, integrating thermodynamic, mechanical, and control subsystems.

Create and deploy software tools for system performance prediction, transient analysis, and operability assessments.

Implement automation scripts and multi-disciplinary optimization (MDO) frameworks to support design trade studies.

Collaborate with component teams (e.g., compressor, turbine, combustor, controls) to ensure accurate system integration.

Apply AI/ML, digital twins, and data analytics to enhance system-level decision-making and predictive capabilities.

Support requirements definition, architecture development, and system validation activities.

Document tools and workflows, and provide training to engineering teams

What you bring

Experience with system modeling tools (e.g., NPSS, in-house modeling tools).

Familiarity with control systems, sensor integration, and data acquisition.

Proficient programming experience (Python, Fortran, bash, C, C++, Linux).

Must be eligible to work on control technology as required by U.S. export control regulations.

U.S. Applicants must be legally authorized for employment in the United States without need for current or future employer-sponsored work authorization.

Technical Expertise:

Knowledge of thermodynamic cycle analysis, steady-state and transient simulations, and engine operability.

Exposure to digital twin frameworks and AI/ML applications in system-level engineering.

Working knowledge of Gitlab and Linux.

Professional Experience:

3+ years of experience (or a PhD) in the gas or aero turbine industry.

Preferred Qualifications:

Exposure to digital twin frameworks and AI/ML applications in system-level engineering.

Knowledge of high-performance computing (HPC) and cloud-based simulation environments (e.g., Azure, AWS).

About the Team

Who is Siemens Energy?

At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.

Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.

Find out how you can make a difference at Siemens Energy: https://www.siemens-energy.com/employeevideo

Rewards

Career growth and development opportunities

Supportive work culture

Company paid Health and wellness benefits

Paid Time Off and paid holidays

401K savings plan with company match

Family building benefits

Parental leave

Jobs & Careers: https://jobs.siemens-energy.com/jobs

Equal Employment Opportunity Statement

Siemens Energy is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local

law.