Software Engineer
Il y a 6 heures
MontSaintGuibert, Wallonia, Belgique
Cadence
Temps plein
Gratuit avec email ou Google
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Gratuit avec email ou Google
ppAt Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. /p pCadence is a pivotal leader in electronic design, building upon more than 30 years of computational software expertise. The company applies its underlying Intelligent System Design strategy to deliver software, hardware and IP that turn design concepts into reality. /p pCadence customers are the world’s most innovative companies, delivering extraordinary electronic products from chips to boards to systems for the most dynamic market applications including consumer, hyperscale computing, 5G communications, automotive, aerospace, industrial and health. /p pAt Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. /p h3Job Title: /h3 pSoftware Engineer (Textile Composite Modeling) /p h3Location: /h3 pMont Saint Guibert, Belgium /p h3Reports to: /h3 pSr Software Engineering Manager /p h3Job Overview /h3 pAs a Software Engineer (Textile Composite Modeling), you will be at the forefront of developing next-generation multiscale simulation technologies for textile composite materials within Cadence’s DIGIMAT product suite. This role sits within a collaborative RD team whose work directly enables engineers across the automotive, aerospace, defense, energy, and industrial sectors to predict material performance with greater accuracy and efficiency. /p pYou will combine deep expertise in composite materials science, virtual manufacturing, and software development to translate research into robust, production-ready simulation capabilities used by some of the world’s most innovative manufacturers. /p h3Job Responsibilities /h3 ul liDesign and implement multiscale material models for textile composites, including woven, braided, NCF, and 3D woven architectures within the DIGIMAT simulation platform. /li liDevelop virtual manufacturing workflows that capture the influence of manufacturing processes (draping, infusion, RTM, compression molding, and curing) on composite material performance. /li liBuild and validate homogenization methods and continuum mechanics models covering damage and failure behavior for a range of composite material systems. /li liCreate and maintain automated workflows for textile composite model generation, characterisation, and correlation against experimental data. /li liContribute to and lead RD projects spanning the full lifecycle from concept and algorithm development through to industrial deployment and customer validation. /li liCollaborate with materials scientists, manufacturing engineers, and software developers to integrate new simulation capabilities into production-quality software releases. /li liEngage with industrial partners and customers to understand application requirements, present technical findings, and gather validation feedback. /li liApply software engineering best practices
- including version control (Git/SVN), containerisation (Docker), testing, and CI/CD pipelines
- to maintain code quality and release reliability. /li liIdentify and evaluate emerging technologies, including AI/ML-assisted simulation acceleration, to continuously advance the state of the art within the DIGIMAT roadmap. /li /ul h3Job Qualifications /h3 ul liPhD in Engineering, Materials Science, Mechanical Engineering, Applied Mathematics, or a closely related discipline
- or equivalent demonstrated research and industry experience. /li li5–8 years of post-doctoral or industrial RD experience in composite materials modeling, with direct expertise in textile composites and multiscale simulation methods. /li liAdvanced knowledge of composite material modeling and simulation, including homogenization, continuum mechanics, and damage and failure modeling. /li liStrong understanding of textile composite architectures (woven, braided, NCF, 3D woven) and their relationship to manufacturing processes and structural performance. /li liProficiency in at least one of C++, C#, or Python, with experience developing and validating simulation software in a research or commercial environment. /li liFamiliarity with finite element platforms such as Abaqus, Marc, LS-DYNA, Nastran, or similar tools. /li liExperience working with software development practices including Git or SVN, Docker, automated testing, and CI/CD workflows. /li liStrong scientific communication skills, with the ability to present technical findings clearly to both research colleagues and industrial customers. /li /ul h3Skills /h3 h3Additional Skills/Preferences: /h3 ul liHands‑on experience with textile preform generation and characterisation tools such as WiseTex, TexGen, DFCA, or equivalent. /li liKnowledge of virtual manufacturing and process simulation tools including PAM-RTM, or equivalent resin flow and cure simulation software. /li liExposure to AI/ML techniques applied to materials modeling or simulation acceleration. /li liExperience developing Integrated Computational Materia
- including version control (Git/SVN), containerisation (Docker), testing, and CI/CD pipelines
- to maintain code quality and release reliability. /li liIdentify and evaluate emerging technologies, including AI/ML-assisted simulation acceleration, to continuously advance the state of the art within the DIGIMAT roadmap. /li /ul h3Job Qualifications /h3 ul liPhD in Engineering, Materials Science, Mechanical Engineering, Applied Mathematics, or a closely related discipline
- or equivalent demonstrated research and industry experience. /li li5–8 years of post-doctoral or industrial RD experience in composite materials modeling, with direct expertise in textile composites and multiscale simulation methods. /li liAdvanced knowledge of composite material modeling and simulation, including homogenization, continuum mechanics, and damage and failure modeling. /li liStrong understanding of textile composite architectures (woven, braided, NCF, 3D woven) and their relationship to manufacturing processes and structural performance. /li liProficiency in at least one of C++, C#, or Python, with experience developing and validating simulation software in a research or commercial environment. /li liFamiliarity with finite element platforms such as Abaqus, Marc, LS-DYNA, Nastran, or similar tools. /li liExperience working with software development practices including Git or SVN, Docker, automated testing, and CI/CD workflows. /li liStrong scientific communication skills, with the ability to present technical findings clearly to both research colleagues and industrial customers. /li /ul h3Skills /h3 h3Additional Skills/Preferences: /h3 ul liHands‑on experience with textile preform generation and characterisation tools such as WiseTex, TexGen, DFCA, or equivalent. /li liKnowledge of virtual manufacturing and process simulation tools including PAM-RTM, or equivalent resin flow and cure simulation software. /li liExposure to AI/ML techniques applied to materials modeling or simulation acceleration. /li liExperience developing Integrated Computational Materia