@DeRonin_: here's every way to get paid in robotics: sell a system: - turnkey work cells: layout, fixturing, end effector, cycle t…

here’s every way to get paid in robotics:

sell a system:

• turnkey work cells: layout, fixturing, end effector, cycle time and programming, at 10-20% of the system budget or $3-16k on a light-duty cell
• vision for bin picking: 6D pose estimation and camera calibration, the part that breaks first in production
• force-controlled assembly: insertion and mating tasks that position control alone can never do
• fine-tuned manipulation policies for one job, one gripper, one product line
• sim-to-real pipelines: train it in Isaac, land it on the real cell, and own the gap nobody else wants to debug

sell your hours:

• teleoperation and data collection: $22/hr and up, no degree asked
• contract bring-up and debugging: $30-70/hr, the going freelance band for robotics engineers
• functional safety and risk assessment: 66% of robotics projects are delayed by certification, and almost nobody sells this
• sensor calibration and vision setup on site: the step every integrator underestimates
• on-site commissioning weeks: the travel everyone avoids is the work nobody can skip

sell an artifact you own:

• demonstration datasets for a task nobody recorded: you get paid per hour of capture, then sell that same hour again
• sim environments and digital twins: billed at $30-50/hr, then reused across every client after
• grippers, jigs and mounts: design once and print forever, the margin is the file and not the plastic
• drivers and ROS packages for hardware the manufacturer never bothered to support
• calibration rigs and test fixtures, the boring tools every single lab rebuilds from scratch

then own the vertical:

• a $35k arm becomes an $80k deployed system once it is actually working
• that $45k gap is not hardware, it is engineering, and it is the entire business
• rent the cell monthly instead of selling it, so one install pays for years
• own the data for one narrow task until nobody can train a better policy than yours
• turn the third integration contract into a product and license it instead of rebuilding it

all four exist for the same reason:

the models cannot learn manipulation from the internet, so someone has to move a real machine and record it simulation solved locomotion, but dexterous manipulation still needs 60-80% real data even after strong sim pretraining which makes even the cheapest seat in robotics one the industry structurally cannot skip

AI engineering pays well because plenty of people can do it. robotics pays well because almost NOBODY can

and if you want to build your own thing, look at software. a survey of 1,000 robotics developers this year put software architecture as the top bottleneck at 27%, ahead of hardware at 16%

you don’t have to quit anything or call yourself an engineer to start

get a cheap arm as a pet project, give it two evenings a week, and you’re on this list before the year ends

Ronin (@DeRonin_): why i’d learn robotics over AI engineering for the next 12-24 months:

everyone is an AI engineer now… that’s the whole problem

you can’t build a moat out of what a subagent does at 3am for pennies

robotics is the opposite:

> the models already work, what’s missing is