Work as part of a multidisciplinary team to deliver state-of-the-art AI powered engineering solutions Engineer and optimize high performing machine learning pipelines to harvest and process geometric data at scale What You Will Bring: A problem-solving mindset, eagerness to collaborate, and excitement to learn Degree in Computer Science, Engineering, Mathematics or a related technical field 7+ years of experience in software engineering Experience using and implementing numerical methods and algorithms Strong proficiency in C++ and Python Good understanding of data structures, design patterns and object-oriented programming Ability to write clear, modular code and unit tests Comfortable in both Windows and Linux Strong verbal and written communication skills Additional / Nice-to-Have: Experience with multi-threading, MPI or CUDA Experience optimizing, debugging, or profiling for high-performance applications Track record of implementing numerical methods from academic papers Familiarity with deep learning frameworks such as Pytorch, Tensorflow or JAX