Apprentice
Posted 7 Oct 2026
Advertised as “Apprentice - Robotics Experimentation”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 0–2 yrs
- Management level
- Individual contributor
- Contract
- Contract
No salary listed for this role.
About Origin
Origin (previously 10xConstruction) is building general-purpose autonomous robots for US construction to tackle rising costs, safety risks, and labour shortages. Our modular, multi-trade platform combines purpose-built hardware with real-time site intelligence to navigate complex environments and execute tasks with precision. Trained in high-fidelity simulation and already deployed on live sites, our robots deliver 5x faster execution, 250%+ margin expansion, and significant cost savings. Join India’s most talent-dense robotics team consisting of individuals from IITs, Stanford, UCLA, etc.
About the role
Robotic drywall finishing is a hard, unsolved problem, and progress depends on how many good experiments we can run. As an apprentice, you will spend most of your time on the robot: setting up trials, running DOEs on the spraying and sanding process, and turning results into findings that engineering decisions can rest on.
Because you will run the same protocols again and again, you will see better than anyone where the manual effort goes. Your second job is to measure that effort and tell us, with numbers, what to automate next, and to build the simpler automations yourself.
The work is deliberately interdisciplinary: robot, sensors, wiring, scripts and experimental method in the same week. If you think like an experimentalist and are comfortable with a wrench in one hand and a terminal in the other, this role is for you.
**What you will do
**Run experiments on the robot (most of your time)
- Run controlled experiments on robotic drywall finishing processes using hypothesis-driven and DOE-based approaches.
- Identify and isolate independent, dependent, controlled and confounding variables across physical trials.
- Maintain repeatability and reproducibility discipline in measurement; know the difference between a real effect and setup noise.
- Analye cross-system interactions across the robot arm, end-effector, sensors, surface material and motion parameters.
- Convert trial results into clear experiment logs, test reports and result summaries.
Keep setups trial-ready
- Assemble, wire, calibrate and maintain the rigs, fixtures and end-of-arm tooling used in your trials, working with the robotics team.
- Debug setup problems across mechanical, electrical and software layers and keep setups in a known-good state.
Find and drive automation
- Time each step of the experiment cycle and find where hours are lost between "run the trial" and "read the result".