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