Edenrobotics
Technical Sorcerer (Cofounder Role)
Edenrobotics, San Francisco, California, United States, 94199
Are you a genius who thrives on solving impossible problems? Do you have a track record of mastering complex skills faster than others can spell "trajectory optimization"? Have you already proven yourself in projects that others would be too scared (or too slow) to even dream of? If the answer to any of these is no, stop reading. If yes, let's talk.
We are building the future—humanoid robots that will redefine life at home, in industry, and everywhere in between. To achieve this, we need someone extraordinary to join us as a Technical Sorcerer, a cofounder role at the cutting edge of robotics. You will lead by doing, inspire by achieving, and recruit a team of exceptional individuals who share your unrelenting drive to conquer the impossible.
If you think you can keep up, here's what you'll be doing:
Responsibilities:
Design and implement software for robotic control, including motion planning, trajectory optimization, and teleoperation. Contribute to hardware design, focusing on actuator integration, sensor placement, and system reliability. Develop and debug control algorithms to achieve stable 6 DOF bipedal walking. Create and refine simulation models using platforms such as Isaac Sim or Mujoco. Perform system integration, ensuring smooth interaction between mechanical, electrical, and software components. Test and iterate hardware-software integration to optimize robot performance under real-world conditions.
Requirements:
Bachelor's or Master's in Robotics, Mechatronics, or a related field. (Or better yet, prove you don't need one.) Strong experience in robotic control, including optimal control, inverse kinematics, and trajectory optimization. Proficiency in Python and C++ for robotic applications. Hands-on experience with ROS for system integration and control. Familiarity with electrical systems, including motor drivers, sensors (IMUs, encoders), and communication protocols (CAN, SPI, I2C). Skilled in hardware design and prototyping, with experience in actuator integration and cable management. Practical knowledge of simulation tools such as Isaac Sim, Mujoco, or Gazebo.
Bonus Points (but not strictly necessary if you're brilliant):
Experience with reinforcement learning frameworks (e.g., PyTorch, Stable Baselines). Knowledge of system identification and model-based control. Hands-on experience building and debugging multi-DOF robotic systems. Familiarity with mechanical design tools (e.g., SolidWorks, Blender) for quick prototyping.
This isn't just a job; it's a life-defining challenge. If you're someone who hates mediocrity, thrives in chaos, and believes that pushing boundaries is the only way forward, we want to hear from you. No fluff. No handholding. Just raw, unfiltered brilliance. If you're the real deal, reach out with proof of why you belong in this role.
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Responsibilities:
Design and implement software for robotic control, including motion planning, trajectory optimization, and teleoperation. Contribute to hardware design, focusing on actuator integration, sensor placement, and system reliability. Develop and debug control algorithms to achieve stable 6 DOF bipedal walking. Create and refine simulation models using platforms such as Isaac Sim or Mujoco. Perform system integration, ensuring smooth interaction between mechanical, electrical, and software components. Test and iterate hardware-software integration to optimize robot performance under real-world conditions.
Requirements:
Bachelor's or Master's in Robotics, Mechatronics, or a related field. (Or better yet, prove you don't need one.) Strong experience in robotic control, including optimal control, inverse kinematics, and trajectory optimization. Proficiency in Python and C++ for robotic applications. Hands-on experience with ROS for system integration and control. Familiarity with electrical systems, including motor drivers, sensors (IMUs, encoders), and communication protocols (CAN, SPI, I2C). Skilled in hardware design and prototyping, with experience in actuator integration and cable management. Practical knowledge of simulation tools such as Isaac Sim, Mujoco, or Gazebo.
Bonus Points (but not strictly necessary if you're brilliant):
Experience with reinforcement learning frameworks (e.g., PyTorch, Stable Baselines). Knowledge of system identification and model-based control. Hands-on experience building and debugging multi-DOF robotic systems. Familiarity with mechanical design tools (e.g., SolidWorks, Blender) for quick prototyping.
This isn't just a job; it's a life-defining challenge. If you're someone who hates mediocrity, thrives in chaos, and believes that pushing boundaries is the only way forward, we want to hear from you. No fluff. No handholding. Just raw, unfiltered brilliance. If you're the real deal, reach out with proof of why you belong in this role.
#J-18808-Ljbffr