Performance Engineer

Acerca de

CuspAI CuspAI is the frontier AI company on a mission to solve the breakthrough materials needed to power human progress

While nature took billions of years to perfect molecules, we are harnessing AI to unlock trillion-dollar materials breakthroughs in months, not millennia.

Our founding team is the most cited in the world, comprised of world-class researchers in AI, chemistry and engineering.

We are working on some of the hardest and most important challenges including energy, clean water, the future of compute, and carbon capture, and this is just the start of what our 'search engine' for next-generation materials will unlock.

We invite you to be part of a diverse, innovative team at the intersection of AI and materials science, working to create impactful partnerships that drive innovation, scalability, and industry collaboration.

This work matters.

Your work matters.

We’re on the cusp of the on-demand materials era.

The RoleDue to the rapid scaling of our compute.

Requisitos

, we are seeking a Performance Engineer to serve as the vital bridge between our frontier AI models and our high-performance computing infrastructure.Your ImpactIn this role you will be building the optimization layers and profiling infrastructure that maximizes the efficiency of our large-scale training and inference workloads, which is critical for accelerating our materials discovery pipeline and ensuring our researchers can iterate at the speed of thought. At CuspAI, compute is our most precious resource

Your main focus initially will be profiling our current training runs to identify bottlenecks in Model FLOP Utilization (MFU).

Over time you are likely to get involved in designing custom kernels and low-level optimizations that allow us to train larger, more complex models for chemistry and physics that were previously computationally prohibitive.

What You Will DoTraining & Inference OptimizationAnalyze model architectures to optimize how mathematical operations map onto.