Senior Technical Artist

Posted Yesterday
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3 Locations
In-Office
Senior level
Artificial Intelligence • Hardware • Machine Learning • Robotics • Generative AI • Manufacturing • Industrial Components
Develop physical AI at the speed of software.
The Role
Develop sim-ready asset pipelines, procedural environments, animation tools, shaders, sensor-ready materials, Gaussian splatting workflows, CAD-to-real-time pipelines, and real-time visual effects. Build production-ready environments and robotic assets using Python and tools such as Unreal Engine, Houdini, Blender, USD, and Omniverse. Collaborate with customers and simulation engineers, represent the company during customer conversations and site visits, and advance high-fidelity simulation content and tooling.
Summary Generated by Built In

Location: New York City (in person), San Francisco (in person), or New Zealand (remote) | Type: Full time, onsite | Team: Technical Art

Who are we?

Antioch is the agentic simulation platform for robotics and autonomy. Teams design, train, and test physical systems in high-fidelity cloud simulation, accelerated by 3D-native agents. We build precision-calibrated digital twins and run massively parallel simulation scenarios, so customers spend less time on expensive, slow real-world testing. Our customers include leading robotics, autonomy, and perception teams working in manufacturing, logistics, construction, and safety.

Who are we looking for?

Technical artists who will develop our sim-ready asset pipeline and build the content and tools that make our simulation high-fidelity, performant, and reusable. You'll work across procedural and hand-crafted environments, character animation pipelines, real-time visual FX, and physics systems (Newton, PhysX). This is an early, high-ownership builder role, and it is development-heavy with an eye for artistry.

What you'll do

  • Build Python tools for the sim-ready USD asset pipeline: procedural environments, character animation processing, Gaussian splat tooling, CAD-to-real-time pipelines, robotic asset configuration, custom MDL shaders, and real-time FX.
  • Research and implement new asset creation and processing methods, with a focus on simulation readiness and sensor-ready materials for camera, radar, lidar, and infrared.
  • Build high-quality environments from customer-provided, internally designed, and asset-store sources, working with customers and sim engineers.
  • Represent Antioch in customer conversations and site visits.

What we're looking for

  • A strong portfolio showing procedural thinking and custom tooling for real-time game engine or VFX pipelines, with a preference for Python.
  • Deep knowledge of PBR materials and custom shader design, with significant experience in MDL, MaterialX, or Unreal Engine shader networks.
  • Experience building procedural scene tools in Unreal Engine PCG, Houdini, or Blender Geometry Nodes.
  • Expertise in Gaussian splatting and generative 3D modeling.
  • A track record of shipping production-ready capabilities.
  • Nice to have: NVIDIA Omniverse or Isaac Sim, USD pipelines, Newton or Warp, synthetic data or robotics work, MetaHuman pipelines.

Skills Required

  • Strong portfolio demonstrating procedural thinking and custom tooling for real-time game engine or VFX pipelines
  • Preference for Python experience
  • Deep knowledge of PBR materials and custom shader design
  • Significant experience with MDL, MaterialX, or Unreal Engine shader networks
  • Experience building procedural scene tools in Unreal Engine PCG, Houdini, or Blender Geometry Nodes
  • Expertise in Gaussian splatting and generative 3D modeling
  • Track record of shipping production-ready capabilities
  • Experience with NVIDIA Omniverse or Isaac Sim
  • Experience with USD pipelines
  • Experience with Newton or Warp
  • Experience with synthetic data or robotics
  • Experience with MetaHuman pipelines
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The Company
12 Employees
Year Founded: 2

What We Do

Antioch is the simulation platform for physical AI. We allow teams to develop, evaluate, and generate synthetic data for their physical systems in high-fidelity cloud simulation, accelerated by 3D-native agents. With Antioch, teams create precision-calibrated digital twins, generate testing environments, and run massively parallel simulation scenarios. By moving development out of the field and into software, Antioch drastically reduces dependence on expensive, slow, and incomplete real-world testing. We work with leading robotics, autonomy, and perception teams to make the deployment of physical autonomous systems safer, faster, and more cost-effective.

Why Work With Us

Software improves fast because teams can test every change thousands of times. Robotics can’t yet. We’re building the infrastructure to change that, so physical AI can move at the speed of software. Small team, real customers, and a problem nobody has solved yet. If that sounds like your kind of hard, come build it with us! antioch.com/careers

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