At HIVE we build the silicon brain for industrial machines — the intelligence layer that lets a whole fleet perceive, decide and work as one system, learning from every shift it runs. It is in production today, at construction, warehouses, on quarries and on roads, improving safety and output now, against a labour shortage industry cannot hire its way out of. We multiply what operators can do instead of replacing them: industrial machine intelligence that produces more with less, and puts human capability where it counts.
Our team spans disciplines, cultures and countries, and it grows every month. What connects people is a bias for systems that hold up outside the lab. Much of our work sits between research and live operations, so we look for people who are rigorous and pragmatic in equal measure — people who want to see what they built survive a real site, in real weather, with real machines.
We are scaling fast, and we are deliberate about what does not change: high standards, direct feedback, and a team that carries weight for each other. Deep focus, with room to move across areas. You take on varied problems, see your work deployed in live operations, and shape both the technology and how we build it.
Hard, meaningful problems
Physical AI, machine perception and fleet coordination, applied to equipment that moves earth, material and cargo. The complexity is real and so are the consequences. We value practical thinking, honest feedback and clear decisions.
Fast progress, continuous learning
Work moves from early testing to live deployment quickly, and you see its effect on real operations. The problems are hard, so growth is part of the job rather than a perk.
One team, high ownership
We solve hard problems together — across disciplines, backgrounds, borders and time zones. Everyone contributes to the product and to the direction of the company, not only to a task list.
Real-world impact
Your work runs in active industrial environments, on customer sites, under real conditions. Not prototypes that stay in the lab.
We build one intelligence system that gives industrial machines perception, coordination, execution and continuous learning: AI operators that run the machine, while people direct the fleet.
It is deployed in real operations today, improving safety and performance from the first shift, while the shortage of skilled operators keeps deepening across every industrial domain.