Ai2, founded by Paul Allen, conducts high-impact research and engineering to tackle key problems in artificial intelligence.
About the role
You will own the control stack on our physical robots and the path from simulation to them. This is first and foremost a controls role: you will bring up and tune real-time, torque-level control on arms, multi-fingered hands, bimanual systems and humanoids, make it stable and safe enough that researchers run experiments on hardware every day, and build the interfaces that learned policies plug into. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Master’s with 3+ years of experience, or PhD, in robotics, control or a related field. Strong candidates with a bachelor’s and 3+ years of industry experience are also considered
- Manipulation: substantial hands-on experience with real-robot manipulation, including bring-up, calibration and control of arms with grippers or hands
- Robot learning: you have trained or deployed learned policies (imitation learning, RL or VLA) on real robots, and are comfortable with PyTorch and at least one simulation ecosystem (Isaac Lab, MuJoCo or similar)
- Debugging across the full stack, from perception through control to hardware, and clear communication with a structured, systems-oriented approach
More about this role
You will own the control stack on our physical robots and the path from simulation to them. This is first and foremost a controls role: you will bring up and tune real-time, torque-level control on arms, multi-fingered hands, bimanual systems and humanoids, make it stable and safe enough that researchers run experiments on hardware every day, and build the interfaces that learned policies plug into. Experience with humanoid whole-body control and with Unitree platforms (G1, H1 and similar) is a strong plus, as humanoid and whole-body work is a growing share of the lab. You will also design and build the hardware the research needs, from end-effectors to test rigs. You will work closely with research scientists and the simulation team so that what is learned in simulation shows up as reliable behaviour on hardware.
The Robotics team at Ai2, led by Dieter Fox, uses scalable simulation to study how foundation models scale and generalize for robotics. We focus on manipulation, humanoid and whole-body control, large-scale simulated training, sim-to-real transfer, robot foundation models and skill learning. We publish at CoRL, ICRA, RSS, CVPR, NeurIPS, ICLR and ICML, and everything we...
Read the full posting on Allen Institute for Artificial Intelligence's site ↗
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