A Snapshot of Your Day

Shape the Future of Turbomachinery Innovation. Join a team at the forefront of advanced engineering, where mathematics, computational physics, and optimization come together to redefine how complex turbomachinery components are designed. This is not traditional CAD engineering. It's an opportunity to build the next generation of geometry modeling methods, algorithms, and digital workflows that power breakthrough performance across multidisciplinary optimization environments.

If you're energized by solving difficult problems through equations, fields, and computational methods, and thrive at the intersection of applied mathematics, fluid dynamics, structural mechanics, and software-enabled engineering, we want to hear from you. Help pioneer the tools, methodologies, and innovations that will shape the future of turbomachinery design.

How You'll Make an Impact

• Develop advanced computational geometry methods and algorithms for turbine component design, including blades, cooling channels, casings, lattice structures, and additive manufacturing applications.
• Translate aerodynamic, thermal, and structural engineering requirements into robust mathematical and geometry-based design models.
• Implement, validate, and optimize implicit CAD methodologies, creating reusable modules and best practices for scalable deployment.
• Build and maintain integration frameworks linking computational geometry with optimization, manufacturing simulation, and CAE workflows.
• Document, standardize, and transfer geometric modeling methods to engineering teams to drive adoption and long-term capability growth.
• Partner closely with aerodynamics, design engineering, simulation, and additive manufacturing teams to advance computational geometry capabilities and support product development initiatives.
• Continuously improve design workflows by developing generalizable, efficient, and reusable computational geometry solutions.

What You Bring

• Master's degree in Mathematics, Applied Mathematics, Physics, or a related field required; PhD preferred, with strong computational physics expertise in fluid dynamics, heat transfer, structural mechanics, or similar domains.
• 3-8+ years' (or relevant PhD research) in computational geometry, generative design, or related fields, combined with a highly motivated, self-directed mindset and exceptional communication and collaboration skills. Candidates with more years of experience may be considered at a higher level.
• Differential geometry, linear algebra, numerical methods, computational geometry, and mathematical modeling for engineering applications.
• Programming skills in Python and C++ (or another compiled language), with experience developing mathematical and geometric modeling solutions.
• Hands-on Git/GitLab, Linux environments, and modern engineering software development practices.
• Implicit geometry modeling, signed distance fields, lattice topology, and geometry design platforms such as nTop, or the ability to rapidly learn them.

• Applicants must be legally authorized for employment in the United States without need for current or future employer-sponsored work authorization. Siemens Energy employees with current visa sponsorship may be eligible for internal transfers.

Preferred:

• Advanced Degree in Mathematics, Applied Mathematics, Computer Science, or a related field, paired with exceptional analytical thinking and abstract mathematical problem-solving skills.
• Developing implicit geometry, field-based design, and parametric modeling solutions for complex engineering applications.
• Computational physics, including CFD, fluid dynamics, structural analysis, and mechanics.
• Working in high-performance computing (HPC) environments to solve large-scale computational challenges.
• Developing APIs, automation frameworks, and scalable toolchains that accelerate engineering workflows.
• Applying machine learning and AI techniques to 3D CAE, simulation-driven design, and computational engineering workflows.

Export Control Requirement:

Due to applicable export control laws and regulations, candidates must be a U.S. Citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

About the Team

Our Gas Services division offers Low-emission power generation through service and decarbonization. Zero or low emission power generation and all gas turbines under one roof, steam turbines and generators. Decarbonization opportunities through service offerings, modernization, and digitalization of the fleet.

Rewards/Benefits

• 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

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