Datafabrix sits at the intersection of high-speed hardware, embedded telemetry, AI analytics, and cloud orchestration. We are building a team that wants difficult systems problems, direct customer impact, and a high bar for engineering clarity.
The product is not a thin SaaS layer. It is a coordinated stack: smart hardware, embedded telemetry, AI infrastructure intelligence, and a cloud control plane. We are looking for people who want direct ownership and real systems work.
If your background does not map exactly to one title but clearly aligns with these areas, still reach out. Strong systems builders rarely fit into a narrow keyword box.
These are the kinds of profiles we are most likely to engage quickly. If your experience overlaps substantially, reach out directly even if your exact title differs.
Own critical portions of the high-speed hardware foundation, from design tradeoffs through validation thinking and deployment readiness.
Build the low-level software layer that turns deployed hardware into usable telemetry, diagnostics, and control signals for the platform.
Design backend and control-plane systems that convert infrastructure telemetry into actionable fleet management, policy, and workflow software.
Build the data layer that connects telemetry streams, model inputs, and operator workflows across the Datafabrix platform.
Send a short introduction, resume or LinkedIn profile, and any work samples that help us understand your depth.
We discuss your background, the role fit, and the systems problems you have actually solved.
You walk through prior work, decision-making, and tradeoffs. We care more about substance and clarity than presentation polish.
We close on expectations, scope, work model, and why the role matters at this stage.
Not always. We care most about deep systems ability, strong engineering judgment, and evidence that you can work effectively at the boundary between technical layers.
It depends on the role. Hardware-heavy positions typically benefit from more on-site time, while some software and data roles can support more hybrid flexibility.
Yes. If your profile is directionally strong and your work maps clearly to the problems we are solving, send an application anyway.
If you want to work on the infrastructure layer of AI with a team that values technical depth, ownership, and execution, send a note. We read every serious application.