Job Overview
Siemens Digital Industries Software – Transform the every day.
Let’s make the difference together!
Siemens Digital Industries (DI) is an innovation leader in automation and digitalization. Closely, collaborating with partners and customers, we care about the digital transformation in the process and discrete industries. With our Digital Enterprise portfolio, we provide and encourage companies of all sizes with an end-to-end set of products, solutions and services to integrate and digitalize the entire value chain. Meaningful optimization for the specific needs of each industry, our outstanding portfolio supports customers to achieve greater efficiency and flexibility. We are constantly adding innovations to its portfolio to integrate groundbreaking future technologies. We have our global headquarters in Nuremberg, Germany, and have around 75,000 employees internationally.
We offer a role with responsibility, independence and the possibility to contribute proactive. We foster a teamwork culture with room for individual development
Please visit https://siemensneo.com/disw/
Software Engineer Advanced (f/m/x) – Numerical Methods and Linear Algebra
Are you eager to work in a very innovative and international environment? Do you want to be part of the success of our simulation solutions? If that’s a yes, then you could be at the heart of our Simcenter software at Siemens!
Position Overview
In this position, you will design, implement, and maintain high-performance algorithms for Structural Engineering analyses. You will work on the Simcenter Nastran application, primarily in the Structural Dynamics domain. You will be part of the Simcenter Nastran Numerical Methods Group, and report to the Software Engineering Manager for the Structural Dynamics and Numerical Methods Team.
In this role, you will develop in-depth knowledge of dynamics algorithms in Nastran, and in particular performance optimization and parallelization of finite element analyses of structures. These approaches include use of SMP and DMP parallelization, graph-based partitioning, highly scalable iterative and direct sparse solvers, and reduced representations. You will work within an Agile team to help refine and estimate development items supporting customer requirements. You will design, implement, and test new features, and extensions to existing functionality. Lastly, you will set an example by using the most modern development approach that is practical for implementing new features.
Responsibilities
Your primary responsibilities will be to:
Work effectively within an Agile Team, by focusing on determining the best algorithmic approach and delivering testable implementations as frequently as possible. You will also be expected to support the team by focusing equally on team and individual goals and embracing opportunities to collaborate.Extend current finite element analyses in Nastran to deliver faster and more accurate answers to complex engineering problems through algorithmic enhancements.Learn to use Nastran-specific utilities for effectively managing system resources, e.g. memory and I/O.Work with team members to write effective tests for new and existing code, in support of our zero-regression policy.Where necessary, integrate new or upgraded software packages into Nastran, in support of performance improvement initiatives.
Job tasks:
Design and implement high-performance algorithms.Build, compile, and debug complex code, both in-house and externally developed.Support the goals of the team, via active participation in planning, daily scrum, sprint review, and retrospectives.Thoroughly understand core numerical algorithms for Structural Mechanics.Fix customer issues in a timely manner, as prioritized in cooperation with the product owner.
Required Knowledge/Skills, Education, And Experience
M.Sc. in Computational Engineering with a focus in Mechanical, Aerospace, or Civil Engineering -or- M.Sc. in Applied Mathematics with a focus in Engineering methods.
In addition:
Fortran or C++ fluency.Thorough knowledge of Numerical Linear Algebra (BLAS, LAPACK, sparse direct and iterative solvers).Familiarity with Finite Element Analysis for Engineering problems.Strong background desired in at least one of areas listed belowExpertise in Theoretical and Computational Linear Algebra Research and Development background in HPC and knowledge of existing HPC libraries and tools.Expertise in CUDA and/or OpenCL targeting GPU acceleration, GPGPUPerformance testing and tuning of numerical software.Familiarity with threading toolkits (OpenMP, TBB).Familiarity with Message Passing Interface (MPI).Experience in the development of enhancing the stability and performance of the Krylov Subspace (Lanczos, Arnoldi etc.) methods for buckling, real, and complex eigenvalue problemsFamiliarity with modern matrix solvers (domain decomposition, multigrid, multi-frontal, sparse solvers, sparse ordering algorithms)Distributed memory parallel programmingFamiliarity with Software Development best practices.Team player.Excellent English language communication.
Preferred Knowledge/Skills, Education, And Experience
Ph.D. in Computational Engineering with a focus in Mechanical, Aerospace, or Civil Engineering -or- Ph.D. in Applied Mathematics with a focus in Engineering methods.Background in Structural Dynamics simulation.
Some travel (up to 5% time) may be required occasionally, for more focused interactions with team members in Milford, OH and/or participation in Technical Conferences.
Location: Spain, Italy, France, UK, Netherlands and Romania.
Working at Siemens Industry Software
Siemens Industry Software offers, besides an attractive salary and benefits package, an internationally oriented and innovative high-tech environment.
SISW is a healthy company with a flat structure and an informal, flexible atmosphere. People working within the company say they get a lot of room for initiative and career development.
Our company is driven by innovation, and therefore fosters the creativity of its employees. We provide continuous training and competence development, stimulating personal development with respect to technical and/or management skills.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.
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Job Detail
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