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Contractual Computational Geometry Developer Jobs

The Geometry/Meshing Engineer will develop and productize computational geometry handling and meshing approaches for physics simulation, driving critical initiatives and contributing to the long-term ...

Senior Software Engineer, Geometry

San Mateo, CA · On-site

$139K - $183K/yr

As a Senior Software Engineer on our Geometry team, you will drive foundational algorithms for real ... Working in a small, autonomous team, you will solve novel math computational problems and deliver ...

Luminary helps engineering companies be more competitive by getting to market faster, creating new ... Develop and productize novel computational geometry handling and meshing approaches for physics ...

Luminary helps engineering companies be more competitive by getting to market faster, creating new ... Develop and productize novel computational geometry handling and meshing approaches for physics ...

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Contractual Computational Geometry Developer information

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$62.5K

$115.6K

$186K

How much do contractual computational geometry developer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for contractual computational geometry developer in the United States is $115,590.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,500.00 and $147,000.00 per year, depending on experience, location, and employer.
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Infographic showing various Contractual Computational Geometry Developer job openings in the United States as of August 2026, with employment types broken down into 82% Full Time, 2% Part Time, and 16% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $115,590 per year, or $55.6 per hour.

Computational Geometry Engineer

Siemens Energy, Inc.

Orlando, FL • On-site

$104K - $122K/yr

Full-time

Medical, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Siemens Energy rating

8.3

Company rating: 8.3 out of 10

Based on 88 frontline employees who took The Breakroom Quiz

115th of 491 rated machine equipment manufacturers


Job description

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.
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/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
#TeamPurple #ELECTRON
Equal Employment Opportunity Statement
Siemens Energy and Siemens Gamesa Renewable Energy is an Equal Opportunity and Affirmative Action Employer. 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.
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