About UsWe build training data to train the next generation of Vision Language Actions (VLA) and WorldFoundation Models (WFMs). It is one of the hardest open problems in physical AI.

What You Will DoYou will build hardware systems fast. You will work on real, messy, failure-prone systems thatneed to work reliably. You’ll pick sensors, read datasheets, wire things up, break them, and fixthem repeatedly until they work. You’ll integrate sensors with microcontrollers and single-boardcomputers, bring up systems from scratch, and debug across hardware and softwareboundaries. Expect to move quickly from idea to prototype, iterate under pressure, and makepragmatic engineering decisions. You’ll also handle basic 3D design when needed to makesystems usable in the real world. This role is about ownership, where you don’t wait forinstructions, you figure things out and ship working hardware.





Who We WantWe’re looking for builders, who should be comfortable getting your hands dirty - readingdatasheets, debugging hardware issues, and working through ambiguity without step-by-stepguidance. You’ve likely built things on your own (robots, IoT systems, embedded projects,anything real), and you understand how components come together beyond theory. You don’tgive up when things don’t work the first time (they won’t). You can move fast, learn faster, andcare about making things actually work and not just look valuable on paper.Bonus if you’ve worked with embedded systems, sensors, or done any kind of full-stack orML-adjacent work - but the most important thing is that you can build and figure things outindependently.

📌 Robotics Engineer (Mumbai)
🏢 Wisemonk
📍 Mumbai