We are looking for a Senior Deep Learning Software Engineer to design and build our automated inference and deployment solution. As part of the team, you will be instrumental in defining a scalable architecture for DL inference with emphasis on ease-of-use and compute efficiency. Your work will span multiple layers of the DL deployment stack, encompassing developing features in high-level frameworks like PyTorch and JAX, designing and implementing a high-performance execution environment, low-level GPU optimizations and developing custom GPU kernels in CUDA and/or Triton. This is an exceptional opportunity for passionate software engineers straddling the boundaries of research and engineering, with a strong background in both machine learning fundamentals and software architecture & engineering.
What you’ll be doing:
+ Play a pivotal role in defining of a modular, scalable platform to seamlessly bridge training and deployment workflows—enabling tight integration of deployment to...