
Tau Robotics is developing a general artificial intelligence (AI) for robots that learns autonomously in real-world environments with minimal human supervision. Their approach involves robots collecting vast amounts of data, including failures and recoveries, to train world-model-based reinforcement learning algorithms. These algorithms aim to create reliable policies that surpass human performance. The company focuses on scalable solutions for data generation, moving beyond limitations of human teleoperation and traditional simulation. They have developed a Latent Autoregressive Flow-Matching (LARF) world model, a 1B parameter model that predicts real-world images in a compressed latent space, enabling faster policy optimization. Their technology is being applied to humanoid robots and general robotic learning.

Tau Robotics is developing a general artificial intelligence (AI) for robots that learns autonomously in real-world environments with minimal human supervision. Their approach involves robots collecting vast amounts of data, including failures and recoveries, to train world-model-based reinforcement learning algorithms. These algorithms aim to create reliable policies that surpass human performance. The company focuses on scalable solutions for data generation, moving beyond limitations of human teleoperation and traditional simulation. They have developed a Latent Autoregressive Flow-Matching (LARF) world model, a 1B parameter model that predicts real-world images in a compressed latent space, enabling faster policy optimization. Their technology is being applied to humanoid robots and general robotic learning.
This is a founding engineer role.
You would be one of the first engineers at Tau, working closely with the founders to design and build the core learning systems. This role comes with significant technical ownership and meaningful equity.
We are building a general AI for humanoid robots that learns in the real world with minimal human supervision. Our approach is based on world-model-based reinforcement learning trained on large-scale data that is practical to collect. This makes it possible to learn reliable behaviors and improve beyond human performance limits. As a founding engineer, you will design and build core systems while helping shape the technical direction from the ground up.
Responsibilities
Qualifications
We’re a small, focused team, and as an early engineering hire you’ll have outsized impact on both the technical direction and the company’s trajectory, with equity that reflects your role in building Tau from the ground up.