NVIDIA is seeking engineers to develop algorithms and optimizations for our LPX inference and compiler stack. You will work at the intersection of large-scale systems, compilers, and deep learning, crafting how neural network workloads map onto future NVIDIA platforms. This is your chance to be part of something outstandingly innovative!
What you’ll be doing:
+ Build, develop, and maintain high-performance runtime and compiler components, focusing on end-to-end inference optimization.
+ Define and implement mappings of large-scale inference workloads onto NVIDIA’s systems.
+ Extend and integrate with NVIDIA’s SW ecosystem, contributing to libraries, tooling, and interfaces that enable seamless deployment of models across platforms.
+ Benchmark, profile, and monitor key performance and efficiency metrics to ensure the compiler generates efficient mappings of neural network graphs to our inference hardware.
+ Collaborate closely with hardware architects and design team...