Our team is looking for a skilled and motivated engineer who would be responsible for overseeing customer projects and cross-disciplinary research projects involving machine learning and physics-based modeling.
Applications will be of variety disciplines such as computational structural mechanics, fluid dynamics (CFD),electromagnetics, manufacturing, material science.
Such projects require you work closely with customers, solver teams and data scientists at Altair in order to generate data and train models.
It will also require that you give internal and external presentations about how the techniques you develop will improve a Altair’s customers engineering processes.
Provide consulting to Altair data science customers; mainly for engineering but possibly also business applications.
Deliver customer projects
Investigate and apply emerging technologies in the field
Provide feedback to products
Develop new business for engineering data science
Please note that this is not a software development position but it is a services position which focuses on delivering customer projects and working on proof-of-concepts using emerging technologies in engineering data science.
Engineering degree in mechanical, aerospace, civil, material science or a related field. Master of Science is preferred.
3+ years of work experience
2+ years of engineering data science experience
Proficiency in python
Proficiency in physics-based simulation and 2+ years of experience with a commercial conde (including but not limited to OptiStruct, Radioss, Ansys, Abaqus, FEKO, Flux, AcuSolve, Fluent)
CAD/CAE modelling experience is desirable.
A good working knowledge of machine learning techniques such as regressions, neural nets, decision trees, reinforcement learning.
Excellent communication skills both verbal and written
Altair is a leading provider of enterprise-class engineering software enabling innovation, reduced development times, and lower costs through the entire product lifecycle from concept design to in-service operation. Our simulation-driven approach to innovation is powered by our integrated suite of software which optimizes design performance across multiple disciplines encompassing structures, motion, fluids, thermal management, electromagnetics, system modeling and embedded systems, while also providing data analytics and true-to-life visualization and rendering.