Intelligence in motion.
Autonomy is the point where software stops predicting and starts acting. Perception, planning, and control have to work together, safely, repeatedly, in the physical world. Akkar recruits the engineers who close that gap, across autonomous vehicles, embodied AI, and industrial autonomy.
The hard part was never the demo.
Most autonomy programmes can show something impressive. Far fewer can show something dependable. The engineering that closes that distance is where the talent shortage actually sits.
Deployment exposes what simulation hides
Edge cases, sensor degradation, and real-world unpredictability break systems that performed perfectly in test. Companies need engineers who've shipped autonomy into the field, not just published on it.
The safety case became the bottleneck
Autonomy can't be deployed without an argument for why it's safe. Engineers who can build that case, and defend it to a regulator, are rarer than the people building the stack.
Foundation models changed the skill mix
Learned approaches are displacing hand-engineered pipelines. Teams now need people fluent in both, because most production systems will be hybrids for years to come.
Expertise across the full autonomy stack.
We recruit from perception through to deployment, and across the markets where autonomy is being solved in parallel.
The people who make intelligence act.
From autonomy leadership to the specialists who close the safety case, these are the families we recruit for most.
Built around how autonomy teams hire.
The engagement models we use most in autonomy. Each links to the full solution page.

An exclusive, committed search for hires that are too important to leave to chance or volume.

A focused search engagement for defined roles where speed matters, but relevance matters more.

A fast, focused route to contractors and interim professionals who can keep technical programmes moving.

A dedicated Akkar recruiter working inside your business, for as long as the hiring need requires.
More on intelligence built for the physical world.
Perception, safety cases, and deployment, explored by the team living in this market daily.
Robotic Simulation: Powering the Next Era of Physical AI
What if you could train robots millions of times before they ever touch real hardware...

Silicon Meets Autonomy: The New AI Compute Race
The AI chip market is entering a major growth phase, with the US and EMEA becoming key regions...

SLAM: A Foundational Technology for Robotics and Autonomy
For a robot to navigate the world, it must map it in real time...

Building a team that doesn't yet exist?
Tell us what your system has to do in the real world. We'll define the capability required, find where it exists, and build the connection.

