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ML Engineer - Infrastructure

Flexion Robotics • San Francisco, CA, US • published 2026-10-08 15:04:19.888135

Description

About Flexion At Flexion, we are building the autonomy stack for humanoid robots. Our mission is to drive the transition from fragile prototypes to real\-world deployments of humanoids. We were founded by leading scientists in robot reinforcement learning (ex\-Nvidia, ex\-ETH Zürich) and backed by leading international VC firms. In just months, we went from our first line of code to deploying real humanoid capabilities with our customers, leveraging simulation and reinforcement learning. Today, we are rapidly expanding the capabilities of our autonomy stack, our customer base, and our team. The role We are looking for an experienced ML engineer to join Flexion’s experienced infrastructure team and take ownership of Flexion’s GPU compute platforms. This is a senior, on\-site role with significant scope. At Flexion, we are building the brain for humanoid robots, which involves training foundation models with vast amounts of data on large GPU clusters. You will own the design, bring\-up, operation and optimization of performant clusters. You will work with AI engineers to help them optimize their training speed and hardware utilization. You will also influence strategic compute planni...

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