Founding Engineer – AI Infrastructure

Overview

You will own and build the AI training infrastructure at a pioneering robotics AI startup. You’ll design and scale platforms that enable researchers to translate ideas into production-ready systems. The role sits at the intersection of machine learning, distributed systems, cloud computing, and robotics, with the goal of accelerating breakthroughs in real-world robotics. You’ll join a founding, highly collaborative team and influence the technical direction from an early stage.

Responsibilities

• Design and scale systems for large-scale model training
• Improve efficiency of distributed workloads
• Develop tooling to enable researchers to experiment rapidly and deploy ideas
• Build a platform that may be novel in the field
• Own infrastructure powering AI training and production readiness
• Work across research and engineering to solve complex problems and shape technical direction

Key requirements

• Experience building high-performance infrastructure for machine learning or compute-intensive workloads
• Experience with distributed training, GPU orchestration, cloud infrastructure
• Knowledge of modern deep learning frameworks and production software engineering
• Background in AI infrastructure, platform engineering, or related fields (valued)
• Ability to solve complex technical problems over focusing on titles

• Curiosity
• Strong technical depth
• Motivation to tackle difficult problems
• Distributed training
• GPU orchestration
• Cloud infrastructure

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