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About Us
We build training data to train the next generation of Vision Language Actions (VLA) and
World Foundation Models (WFMs). It is one of the hardest open problems in physical AI.
What You Will Do
You will build hardware systems fast. You will work on real, messy, failure-prone systems
that need to work reliably. You’ll pick sensors, read datasheets, wire things up, break
them, and fix them repeatedly until they work.
You’ll integrate sensors with microcontrollers and single-board computers, bring up
systems from scratch, and debug across hardware and software boundaries. Expect to
move quickly from idea to prototype, iterate under pressure, and make pragmatic
engineering decisions.
You’ll also handle basic 3D design when needed to make systems usable in the real
world. This role is about ownership, where you don’t wait for instructions, you figure
things out and ship working hardware.
Who We Want
We’re looking for builders, who should be comfortable getting your hands dirty – reading
datasheets, debugging hardware issues, and working through ambiguity without step-
by-step guidance. 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’t give up when things don’t work the first time (they won’t). You can move fast,
learn faster, and care about making things actually work and not just look good on
paper.
Bonus if you’ve worked with embedded systems, sensors, or done any kind of full-stack
or ML-adjacent work – but the most important thing is that you can build and figure
things out independently.
Stipend: INR 50,000 per month
Duration: 2 months
Location: Bengaluru
Joining: First week of May
To apply, share your resume with a 3 line description of best project you have worked on at hiring@saturnlabs.ai along with your college name in the subject.
