Working across the boundary of industrial AI and embedded systems,
we are looking for colleagues to grow with
We translate floor problems into technical language and favor collaboration that runs small validations quickly and repeatedly.
Roles we are hiring for
AI/ML Engineer
A role applying time-series anomaly detection, vision AI, and retrieval-based AI to real floor problems.
- Model validation and operations integration
- Field data interpretation
- AI design from a deployment perspective
Embedded / Firmware Development
Working with boards, MCU/MPU, sensor interfaces, and communication protocols to solve problems close to field equipment.
- Firmware/communication
- Equipment integration
- Accounting for field constraints
Full-Stack Web Development
A role that looks across operations screens, dashboards, APIs, and data structures to connect the product together reliably.
- Frontend/backend
- Operations screens
- Data flow design
This is how we work
We understand the problem first
Before the tech stack, we identify which processes and equipment we are targeting and what we are trying to improve.
We build small and validate fast
Rather than grand plans, we confirm direction with a small PoC and pilot, then scale.
We collaborate across boundaries
We do not silo AI, embedded, web, and field operations — we look at them together, problem by problem.
Application process
Apply
Send your resume, portfolio, and a brief self-introduction by email.
Document review
We first look at how your field of interest and your experience so far connect to the problems we work on.
Working conversation
We talk less about technology itself and more about your problem-solving approach and collaboration perspective.
Final notification
We summarize and share role expectations, ways of working, and the start date.
We accept applications by email
Send your resume, portfolio, and the role you are interested in with a short note, and we will review them in order and get back to you.