Build the distributed compute layer
DAIT puts industrial-grade AI compute on sites that already have power. That work sits where hardware, electrical engineering and distributed systems meet — and it is done by a small team that ships.
Hardware you can touch, software that runs it
A sealed IP65 cabinet, a mesh operating system, and a commercial model that turns spare electrical capacity into deployable capacity. All three have to work together.
Field-deployed hardware
Industrial cabinets that survive -40°C to +55°C outdoors, with their own thermal management, fire suppression and telemetry. The constraints are physical and unforgiving.
Distributed systems
One mesh OS scheduling AI workloads across scattered nodes with zero-trust identity, encrypted links and real-time fleet telemetry.
Power and siting
Finding sites with spare electrical capacity, qualifying them, and attaching to existing infrastructure without entering an interconnection queue.
What we look for
Current openings
No published openings right now
We are not running an active listing at this stage. We do read general applications, and we keep strong ones on file — several of the roles we expect to open in the next phase will be filled that way.
Send a general application →Want to work on this?
Send a general application and tell us which part of the stack you want to build.
Send a general application →