Senior Embodied AI Engineer - Controls
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 191d ago
The date the source published, not the day we noticed it (2026-03-08). Last seen at its source 3h ago.
Is it remote?
Remote
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
Seattle
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $161.6k–210k/yr
Middle 50% of 736 listings that do state pay — Engineering · Senior · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
ashby employer's own board first seen 11d ago · last seen 3h ago
The listing
About AIM
Everything humanity depends on is mined, dug, or grown. At AIM, we are building the autonomous linchpin of civilization. We transform heavy machinery—bulldozers, loaders, excavators—into AI-powered fleets that operate continuously, safely, and at peak performance in the world’s harshest environments.
AIM runs production mines, large scale infrastructure builds, and defense operations as a TRL9 hardened system, not a science experiment.
Built by engineers from mining, construction, Waymo, SpaceX, Google and Tesla, AIM enables scalable earthmoving, turbocharging the global economy’s physical foundation. AIM is backed by some of the most sophisticated capital in the world, including General Catalyst, Khosla Ventures, Elad Gil, Human Capital, Ironspring Ventures, Mantis, DCVC. Learn more about AIM here.
Responsibilities
Automate, Develop, implement, and validate advanced control and learning algorithms for real-world embodied robotic systems.
Design and conduct experiments to expand control robustness, precision, and adaptability across diverse tasks and environments.
Combine classical and learning-based control methods (e.g., MPC, IL, RL) for scalable and reliable skill acquisition.
Collaborate with perception and systems engineers to integrate AI control stacks into production platforms.
Leverage simulation, digital twins, and expert demonstrations to accelerate control policy development and deployment.
Stay up-to-date on cutting-edge research in control theory, reinforcement learning, and embodied AI.
Qualifications
5+ years industry experience
Proven experience delivering production-level robotic control systems in real-world deployments (e.g., autonomous vehicles, manipulators, humanoid or mobile robots).
Strong foundation in modern control techniques (e.g., MPC, adaptive control, system identification) and their integration with learning-based methods.
Deep understanding of reinforcement learning, imitation learning, and optimization for dynamic systems.
Proficiency in Python and familiarity with C++ for real-time robotics applications.
Experience working with high-fidelity simulators (e.g., Isaac Sim, Omniverse, Mujoco) for control development and testing.
Excellent communication and teamwork skills, with the ability to bridge between AI research and robotic systems engineering.