Siemens Careers

C++ Software Engineer – Quantitative Data Analysis (GL)

Melville, New York; Bellevue, Washington; Lebanon, New Hampshire; Austin, Texas
Research & Development

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English (US)

Job Description

Division: Digital Factory
Business Unit: Product Lifecycle Management-PLM
Requisition Number: 233730
Primary Location: United States-New York-Melville
Other Locations: United States-Texas-Austin, United States-New Hampshire-Lebanon, United States-Washington-Bellevue
Assignment Category: Full-time regular
Experience Level: Entry level
Education Required Level: Bachelor's Degree
Travel Required: 5%

Division Description:

Siemens Digital Factory offers a comprehensive portfolio of seamlessly-integrated hardware software and technology-based services in order to support manufacturing companies worldwide. Siemens PLM Software, a Plano, Texas-based business unit of the Digital Factory Division, is a leading global provider of product lifecycle management (PLM) and manufacturing operations management (MOM) software, systems and services with over nine million licensed seats and more than 77,000 customers worldwide.

 
For more information, please visit: 
https://www.siemens.com/us/en/home/company/about/businesses/digital-factory.html


Job Description:

Position Overview

 

Siemens PLM 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

jobposition is primarily for development of quantitative analysis

functionality including numerical reports (e.g. forces exerted by a

computed flow field, statistics on a scalar field) computed as a post

processing step after the simulation run, or during the simulation

process using in-situ post processing. 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.

 

Responsibilities

 

The successful candidate will report to the program manager for the

Post Processing Reporting Team within the Post Processing Division in

the STAR-CCM+ Platform Department

Responsibilities

 

• Support the maintenance of our existing numerical reporting

capabilities of STAR-CCM+ (bug fixing, code cleanup, etc.)

• Enhance existing and develop new reporting functionality of steady

and transient simulations based on user requests and internal ideas

• Participate in regularly scheduled team conference calls by

contributing ideas to drive innovation in our technology

• Participate in periodic in-person team meetings to plan for future

releases (approximately 1-2 trips per year)

• Support other developers through code and design review

 

Required Knowledge/Skills, Education and Experience

 

• C++ and object oriented programming expertise

• Knowledge of statistical data analysis

• MS in computer science, applied mathematics or engineering and higher

 

Preferred Knowledge/Skills, Education and Experience

 

• Background in computational simulation, including CFD and FEA, and

algorithms to post process simulation results

• At least 3 years of professional software development experience in a

related field

• Knowledge of parallel programming

• Knowledge of numerical analysis including stability of algorithms in

finite precision arithmetic

#LI-HES

Learn more about mesh operations in STAR-CCM+ by watching this terrific video!



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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, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, protected veteran or military status, and other categories protected by federal, state or local law.

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