Looking to architect next-generation AI infrastructure that transforms engineering simulations?

Join a world-class AI research laboratory, currently in Series B moving to C, that is redefining engineering with Large Physical Models that replace traditional numerical simulations with high-speed AI inference. The role involves building and managing the infrastructure required to train complex simulation models on hundreds of GPUs, leading the orchestration of massive-scale training environments, and contributing to pioneering Physical AI architectures that go far beyond standard generative models. Engineers will work in a high-growth, NVIDIA-backed environment with exposure to cutting-edge AI hardware and sovereign cloud technologies.

Ready to design and scale infrastructure that powers the future of AI-driven engineering? Apply now.

Responsibilities

• Design and scale training environments using PyTorch Distributed, JAX, or NVIDIA NeMo across multi...