Multi Gpu Jobs

Lead the development and deployment of road and lane detection ML models for autonomous vehicles, working with multi-modal sensors and production pipelines to improve navigation and safety.

Lead the design and implementation of AION's multi-cloud compute platform and managed services to enable scalable, cost-efficient AI workloads across cloud and bare-metal environments.

Lead the design and scaling of a globally distributed GPU cloud as Head of Infrastructure at a Series A AI infrastructure startup focused on accessible, GPU-centric compute.

Sciforium is hiring a Distributed Training Engineer to own and optimize the full ML training stack — from drivers and kernels to JAX/PyTorch — enabling large-scale training and deployment of next-generation LLMs.

Work with NomadicML founders to train and productionize large-scale vision-language models that reason about motion in real-world video for autonomy and robotics.

Lead the design and operation of multi-cloud GPU/TPU HPC infrastructure to enable scalable, high-performance distributed training for cutting-edge AI research and products.