Member of Technical Staff, Performance Engineering

Physical Superintelligence is building AI systems to discover new physics at scale. The Member of Technical Staff, Performance Engineering role improves end-to-end performance across AI and HPC workloads, GPU kernels, and cluster operations.

Responsibilities:

• Own a workload's time end to end: when a training loop, a simulation or a served model runs slow, find the layer and fix it there, in the owner's repository, with a benchmark left behind
• Own the kernels: specify, generate or write, verify and profile the GPU code physics campaigns and learned models need
• Go deep in one lane: multi-node AI training, inference serving at scale, or HPC simulation at scale
• Measure the cluster on real jobs so that queue policy and the next capacity decision rest on numbers somebody observed