Research Engineer, Scaling

About 1X
We’re an AI and robotics company based in Palo Alto, California, on a mission to build a truly abundant society through general‑purpose robots capable of performing any kind of work autonomously.
We believe that to truly understand the world and grow in intelligence, humanoid robots must live and learn alongside us. That’s why we’re focused on developing friendly home robots designed to integrate seamlessly into everyday life.
We’re looking for curious, driven, and passionate people who want to help shape the future of robotics and AI. If this mission excites you, we’d be thrilled to hear from you and explore how you might contribute to our journey.

Role Overview
As a Research Engineer, Scaling, you will design and build infrastructure to support training, evaluation, and deployment at scale across 1X’s fleet of robots. You will take experimental and prototype systems, and transform them into production‑grade systems capable of large‑scale training runs, reliable inference, and efficient edge deployment. Your work will directly impact throughput, latency, and model performance across both datacenter and on‑device environments.

Responsibilities

• Own and lead scaling of both distributed training and inference systems

• Ensure compute resources are sufficient so that data, not hardware, is the limiter

• Enable massive training at scale (1000+ GPUs) on robot data, handling fault tolerance, experiment tracking, distributed operations, and large datasets

• Optimize inference throughput in datacenter contexts (e.g., for world models and diffusion engines)

• Reduce latency and optimize performance for on‑device robot policies through techniques like quantization, scheduling, distillation, etc.