Novonus is hiring a Founding Engineer. Expertise in Robot Learning (imitation learning, diffusion policy), sim-to-real (Isaac Sim/MuJoCo), hands-on experience deploying learned policies on robot arms, Physical AI Training Pipelines. Bonus: worked with EMG sensors, edge deployment.
Completely remote. Higher than competitive equity 👀
Like and comment below. We'll reach out. DMs are open.
holy shit the future of robotics genuinely is now. we now have actual robots moving like humans plucking grapes and screwing lightbulbs.
we need more human-like robots in the world, especially in manufacturing where labor’s hard to find. to make robots like humans, you gotta capture the data that make us humans.
that’s where we step in. https://t.co/xE9XwvMtKE check it out 😉
Introducing NEO’s 25 Degrees of Freedom, tendon-driven hands — nearing or surpassing human-level dexterity, strength, speed, and reliability.
For seventy years, robotics worked around the hand problem. The humanoid bet is the reverse: it lives or dies at the fingertips.
sf has taught me everyday’s a new race to get as much done as possible. you start from square 1 and try and do as much as possible. some days feel less productive even though you’ve worked more, like when you spend a whole day sending out emails and recording videos rather than building the actual product.
progress is progress as long as you’re getting closer to your goal, no matter how that may be.
im trying to post smth everyday, build in public, and not have claude cowork do it for me. just me and my brain.
brains are interesting, they provide every single useful signal for you to function. imo physical ai has to capture all of them to progress, and they’ve captured most of them.
im capturing the one mostly overlooked: impedance. and using EMG sensors to do so, including all other vision, force and IMU sensors, to build the sensor rig for the most complete dataset and processing/deployment pipeline for robots to train on.
it always comes back to the brain.
also, check out my website: https://t.co/xE9XwvMtKE
one thing I’ve realised building for a week in SF: it’s always back to basics.
some of engineering’s greatest feats came from mimicking nature: sonar from bats, neural nets from the brain. nature, through billions of years of evolution, has performed experiments and perfected its design. time we start listening to it.
physical AI’s next unlock is the same move. humans solve contact-rich manipulation effortlessly, and the signal is right there in the muscle. that’s what i’m targeting with Novonus: an imitation learning pipeline that teaches robots the delicate, high-precision assembly humans do without thinking using muscle intuition.
here’s to 5 more weeks in SF, and to the basics.