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Antioch
Physical AI simulation platform that closes the sim-to-real gap for robotics and autonomous systems
Last verified August 15, 2026 · Updated daily
What Antioch is building
Antioch builds a simulation platform for physical AI: high-fidelity digital twins of robots and their environments that autonomous systems teams can use to train, test, and validate their machines without building mock warehouses or running expensive hardware-in-the-loop tests. The platform lets teams spin up parallel simulations, test edge cases at scale, and generate synthetic sensor data that closely mirrors what the robot will encounter in the real world. Its AI assistant helps developers configure environments, define scenarios, and interpret results. Antioch integrates natively with existing CI/CD workflows so simulation becomes part of the development loop, not a separate validation step. It targets the gap between what today's AI models can do and what robotics teams can afford to test: currently, only companies with Tesla or Waymo-scale budgets can build this infrastructure themselves. Antioch's pitch is that every autonomy team should have access to it.
Why this matters
Physical AI is the defining technology race of the 2020s. Warehouses, factories, hospitals, construction sites, and logistics hubs are all being reimagined around autonomous systems. The bottleneck is not AI capability. It is data. To train a robot to handle physical spaces, companies need vast amounts of accurate, varied training data from those environments. Collecting it in the real world means building mock-up facilities, hiring actors to simulate scenarios, and instrumenting factory lines with sensor arrays. That costs millions and takes months. Simulation is the only path to scale. But simulation only works if it is faithful enough that what the robot learns transfers to reality. That is the sim-to-real gap, and it is the gating constraint on the entire industry. Antioch compares its role to Cursor's role in software development: not building the AI models, but building the environment in which they can be developed fastest. MIT's CSAIL lab is already using the platform to benchmark LLMs on robot design tasks. That is a research validation signal from an institution with no commercial incentive to say nice things.
Open roles at Antioch
3 positions we're tracking. Roles are re-checked daily and removed when filled.
Hiring outlook
Very High. Funding announcement explicitly targets scaling the engineering team. Careers page says "Don't see the right fit? Reach out directly at founders@antioch.com." That is an open invitation with no ATS filter.
Working at Antioch
Founded in , Antioch is Physical AI simulation platform that closes the sim-to-real gap for robotics and autonomous systems. They're now people. For a AI company this size, the reality is opportunity to shape your role based on the company stage.
Most openings are based out of New York.
Frequently asked questions
How many jobs does Antioch have open?
As of April 2026, Antioch has 3 open positions.
Does Antioch hire remotely?
Antioch doesn't have remote openings at the moment. All roles are in New York.
What roles is Antioch hiring for?
Antioch is hiring across Engineering. The most recent opening is Robotics / Simulation Engineer.
How do I apply for a job at Antioch?
Apply via the links above. For tips, read our guide on how to get hired at Antioch.
Where is Antioch based?
Antioch is headquartered in New York, US.
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