Software Engineer – Quantitative Data Analysis

Job Description

Are you captivated by the complex physics phenomena in the world around you? Do you want to build the tools that will improve the products of tomorrow? Join the team that builds the highly scalable, general purpose, Multiphysics simulation application: Simcenter STAR-CCM+!

We provide an end-to-end user experience with integrated CAD, meshing, physics modeling and in situ post processing tools in a single application. Customers rely on our solution to inform their design decisions and build a better future.

Siemens Simulation & Test Solutions (STS) is seeking a software developer to contribute to our reporting and charting team. The primary focus of this team is the development of cutting edge technology allowing users to understand STAR-CCM+ simulation results through qualitative and quantitative analysis techniques.

This specific job position is primarily for development and maintenance of quantitative analysis functionality including numerical results computed as a postprocessing step after the simulation run, or during the simulation process using in-situ postprocessing. As a member of this team you will be expected to contribute both to maintenance of existing code as well as to development of new features based on user requests and internal ideas. All code written should be well designed, high quality, and robust.

You will report to the program manager for the Postprocessing Reporting Team within the Postprocessing Division in the STAR-CCM+ Platform Department. You will be part of a diverse team located in different countries around the world. We offer flexible work environment with possibilities to work at one of many Siemens offices around the globe as well as from home.

  • You will collaborate closely with a distributed team of developers, testers, managers, and support engineers. You will contribute to architectural designs, participate in peer-based reviews, improve our code base, as well as develop new reporting functionality of steady and transient simulations based on user requests and internal ideas.
We require the following skills, education and experience:
  • B.S. or M.S. in Computer Science, Mathematics, or an engineering discipline.
  • C++ and object-oriented programming experience
  • Knowledge of statistical data analysis
It is beneficial if you have the following skills, education and experience:
  • M.S. in Physics, Mathematics, Applied Mathematics, Computer Science, or an engineering discipline
  • 3 years of software development experience developing in a related field
  • Knowledge of parallel programming
  • Familiarity with the Fast Fourier Transform and frequency-domain signal processing
  • Background in computational simulation and algorithms to postprocess simulation results is a plus

At Siemens we are always challenging ourselves to build a better future.  We need the most innovative and diverse Digital Minds to develop tomorrow’s reality.  Find out more about the Digital world of Siemens here:

Siemens Industry Software Inc. is a technology supplier to the United States Federal Government.  Recently The White House issued an Executive Order requiring most federal workers, contractors and subcontractors who do business with the government to get vaccinated against COVID-19 unless granted an accommodation due to a disability or sincerely held religious belief or practice.  The Company has decided to pause enforcement of the vaccine mandate for the time being while the issue is addressed by the courts. We will be monitoring the situation closely and may lift the pause if required to do so in order to be in compliance with federal law.  If this pause is lifted, you will be expected to be vaccinated against COVID-19.

Organization: Digital Industries

Company: Siemens Industry Software Inc.

Experience Level: Experienced Professional

Job Type: Full-time

Equal Employment Opportunity Statement
Siemens 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.

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