(01) — Company
Three organizations
in one.
MALIA is conceived as a university crossed with an advanced manufacturer — a scientific institution, a robotics and defense engineering company, and an AI company under one roof and one thesis.
(02) — Mission
MALIA is building a new class of intelligent machines inspired by the biological systems that already learned how to move, sense, coordinate, adapt and survive in difficult environments. We translate those principles into autonomous robotics, machine intelligence, sensing systems and frontier technologies for defense, critical infrastructure, emergency response and exploration.
(03) — Founding thesis
Evolution is our methodology.
Not our aesthetic — our method. Biological principle in, engineering requirement out, machine at the end. The university supplies the questions; the manufacturer supplies the proof.
- 01
A scientific institution
It reads biology the way a library reads literature — indexing mechanisms, publishing methods, and treating evolution's 3.8-billion-year experiment as the research record.
- 02
A robotics & defense engineering company
It turns principles into machines and machines into missions — field hours, test campaigns, safety cases and programs a defense customer can actually buy.
- 03
An AI company
It builds one shared intelligence architecture — INSTINCT, LEXICON, ORACLE — so every new body inherits a brain instead of starting from zero.
(04) — What we build first
One credible experiment beats twenty renders.
MALIA’s first deliverable is not concept art. It is a working autonomy stack demonstrated on commercially available robots, followed by one specialized platform where a biological principle gives us a measurable advantage. If that experiment fails honestly, the company learns early; if it works, everything else compounds.
The commercial shape of that bet is on the missions page.
(05) — The team we’re assembling
Hired for the hard parts.
Hiring priorities, stated plainly. These are open roles and founding-team needs — not names we already have.
- 01CTO / Chief Robotics ArchitectOwns the path from biological principle to engineering requirement to machine.
- 02Head of INSTINCTCross-embodiment perception, planning, learning and machine communication.
- 03Head of Field RoboticsPrototype hours, test campaigns and a repeatable deployment procedure.
- 04GENOME / Bio-inspiration LeadThe mechanism library: organism to adaptation to candidate machine architecture.
- 05TERRA Domain LeadGround robotics · heavy mobility · logistics · rescue · infrastructure
- 06AER Domain LeadAerial systems · mapping · monitoring · inspection · persistent sensing
- 07PELAGIC Domain LeadMarine robotics · underwater sensing · coastal systems · subsea infrastructure
- 08Principal Safety & Verification EngineerAllowed-action sets, confidence thresholds, abort behaviour and audit.
- 09Head of Government ProgramsThe defense customer interface: procurement discipline and program execution.
- 10Export, Security & Data LeadITAR/EAR-aware architecture, data provenance and access control.
- 11Prototype Manufacturing & Test LeadFabrication, bench testing and field validation.
(06) — Advisory shape
Four axes of judgment.
The advisory board we intend to recruit spans physical AI, collective robotics, control and manipulation, and comparative biomechanics.
- Physical AIDaniela Rus — MIT CSAIL
- Collective roboticsVijay Kumar — University of Pennsylvania
- Control & manipulationOussama Khatib — Stanford University
- Comparative biomechanicsRobert Full — UC Berkeley
Illustrative targets — no affiliation or endorsement is implied.
(07) — Careers & partners
Join the kingdom.
If one of the roles above reads like your job description — or your organization wants to shape an early pilot, funded research program or manufacturing partnership — write to us.
Hiring · pilots · research programs