About The Position

Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. Our flagship humanoid robot, Apollo, is built to collaborate thoughtfully with people, starting with critical industries such as manufacturing and logistics, with future applications in healthcare, the home, and beyond. We operate at the cutting edge of embodied AI, applying our expertise across the full robotics stack to solve some of society's most important problems. You will join a team dedicated to bringing Apollo to market at scale, tackling the complex challenges like safety, commercialization, and mass production to change the world for the better.

Requirements

  • Strong proficiency in Python and modern C++
  • Hands-on experience with a 3D content pipeline (Blender, Maya, Houdini, or equivalent)
  • Working knowledge of modern scene description and physics-asset formats (OpenUSD, URDF, MJCF) and the geometric/inertial subtleties that make or break sim-to-real transfer
  • Experience with at least one major physics simulator
  • Experience with neural reconstruction (Gaussian splatting, NeRF), photogrammetry, or 3D capture pipelines
  • Familiarity with collision geometry optimization for manipulation tasks (e.g., convex decomposition)
  • Bachelor’s Degree in Computer Science, Robotics, Computer Engineering, or related field (or equivalent experience)
  • 5+ years of experience in software engineering, robotics simulation, 3D pipelines, or related fields

Responsibilities

  • Ship an end-to-end environment capture pipeline that turns real-world site walkthroughs into high-fidelity simulation scenes, with collision proxy geometry that keeps depth sensors and LiDAR behaving correctly.
  • Build a manipulable-object asset pipeline that turns customer parts, tools, and household objects into curated simulation assets with grounded mass, inertia, and friction properties.
  • Define and operate the asset ingestion path into our managed asset store, including authoring tools, validation, versioning, and metadata schemas for scenes and objects.
  • Drive physical fidelity of scene and object assets — collision geometry, contact properties, and material parameters — in close partnership with the Simulation Infrastructure team.
  • Establish object-library curation and tagging conventions that scale as the Apollo deployment surface grows.
  • Partner with Perception, ML Ops, and the Deployment / Field Engineering teams to onboard new customer sites into simulation faster than the next site arrives.
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