Building general purpose robotic intelligence. Backed by General Catalyst, Lightspeed and Sequoia.
About the role
At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts.
What they're looking for
- BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience
- Experience in designing robotic manipulation systems and deploying software on real robots
- Experience with writing controllers and knowledge of robotics (e.g., kinematics, dynamics, control, motion planning, SLAM)
- Proficiency in Python and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc
- Systems-level understanding of the various software modules and their interfaces in a robotic application (ROS/ROS2, simulators, etc.)
- Publications at top-tier ML, robotics or CV conferences (e.g., NeurIPS, ICML, ICLR, CoRL, RSS, ICRA, CVPR, ECCV, ICCV)
More about this role
At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.
We are seeking a versatile Robotics Engineer to develop and implement software solutions for our manipulation systems. The ideal candidate will have experience in controls, perception, and planning. You will be working on deploying state-of-the-art learning-based algorithms on real robot setups, focused on daily manipulation tasks. This role will require close collaboration with researchers and the ML team. The ideal candidate should be comfortable with building high-quality software for robotic manipulation and deploying...
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