We are early, technical, and deliberately small. The people who join now will shape the architecture, not inherit it.
How to apply. Email us your CV with a short note — no forms, no portal, no tracking number. Every Apply button below opens a draft with the few things we actually want to know. It goes straight to the founder, and we read everything.
Own architecture and technical strategy across an unusually broad surface — perception, robotics, ML, edge systems and platform. You'll make the load-bearing calls (hardware abstraction, model runtime, edge deployment, on-prem vs cloud), set the engineering bar, and help recruit the founding team.
Part-time to start (~2 days/week, remote), scaling to full-time as we grow. Three complementary tracks that together cover our full perception stack. You'll work on real sensor data and its messiness — calibration drift, depth noise, motion blur, multi-view ambiguity — and own the path from research idea to tested, benchmarked, deployed module running in real time on the edge.
Hands-on, not research. You'll work on-site with the founder to bring our sensor rig up, run it in the field, and collect the real-world data and failures that make the product better — assembling the rig, running camera and camera↔IMU calibration, capturing datasets, and logging failures cleanly.
Our pilots generate a lot of raw runs — sensor logs, detections, calibration outputs. You'll build the pipelines, eval harnesses, dashboards and automation that turn those runs into clean, measurable signal. You're the person who asks "how do we know it actually worked?"
Don't see your role but think you belong here? Tell us what you'd build.
Email jaribido@imasiv.ai with a short note and anything
you've shipped — code, a paper, a robot, a demo. We read everything.