Our culture
Develop with us
Depth is the thing this company is actually selling, so the time it takes to build is funded rather than borrowed from your evenings.
Most of what an engineer learns here is learned on a programme, from people who have done it before. The structure below is what surrounds that — the parts that do not happen on their own.
01 — How it is structured
Four things you can count on.
A named mentor
From day one, someone senior in your discipline whose job includes your progress — not just your onboarding.
Certification, paid for
Cloud, security, quality and vendor certifications relevant to your track: fees, materials and study time covered.
Time between programmes
Bench time is upskilling time. Structured tracks across AI, embedded, data and mechanical run continuously, and joining one is expected rather than negotiated.
A track you can see
Published level definitions for every discipline, so what the next step requires is written down before you ask.
02 — Current tracks
What you can move into.
AI and data
- —Applied ML
- —LLM systems and evaluation
- —Data engineering
- —MLOps
- —AI governance
Embedded and hardware
- —Firmware and RTOS
- —Board bring-up
- —Motion and controls
- —Test automation
- —Failure analysis
Platform and craft
- —Cloud architecture
- —Security engineering
- —SRE
- —Technical leadership
- —Programme management
Ready when you are
See what is open.
Roles across engineering, AI, data and delivery — in ten countries and fully remote. The AI interview starts the moment you pick one.