Join Skild AI as a Technical Animator to create high-fidelity motion systems for robotic simulations.
Posted by employer 9 months ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
Skills & Technologies
Requirements
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Joblaze summary
In the role of Technical Animator at Skild AI, the individual will focus on creating realistic motion systems and animations for both human and robot avatars, collaborating closely with teams in simulation, perception, and autonomy. Key skills include expertise in motion capture systems, rigging, and physics-based animation, along with familiarity in deep-learning techniques for motion synthesis. This position is ideal for someone with over three years of experience in technical animation or related fields, who is eager to contribute to innovative robotic projects. Skild AI's diverse team values demonstrated abilities and a passion for exploration over traditional industry experience.
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Quick facts
From the original posting
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’re looking for a Technical Animator to help bring our robotic simulations to life. In this role, you'll work closely with the simulation, perception, and autonomy teams to develop high-fidelity motion systems and animations for human and robot avatars. Your work will directly support model training and evaluation, helping us generate realistic motion data to train large-scale neural networks