Deep Render is the world-leading R&D team for AI-based video and image compression technologies, with 50+years of combined research experience and 20+ patents. Our team stems from world-leading research institutions such as Imperial, Oxford, UC Berkeley and McGill University with publications in top-tier journals and conferences such as CVPR, ICCV, ICML, ECCV, and NeurIPS.
We’re looking for Performance Engineers to join us to be part of a highly talented team bringing the next step-change in compression technology to billions of users, creating enormous global impact and value.
We're looking for engineers who will help us deliver AI-based compression to end-users by porting our codec from GPU-based systems to (primarily) mobile platforms with NPUs and (secondarily) mid-range GPU/CPU systems, thus going from research to production. You’ll enjoy working with low-level code and are comfortable with programming across multiple platforms.
The ideal candidate will have a deep understanding of optimisation methodologies to reduce runtime and memory footprint, preferably for neural networks; and/or experience implementing high-performance entropy coding algorithms such as Huffman Coding, Arithmetic Coding, Range Coding, or Asymmetric numeral systems. The ideal candidate will have some experience with taking algorithms from research to deployment.