Remote Real-to-Sim 3D Environments & Assets Engineer

SaidGig

New York (NY)

Remote

USD 83,000 - 207,000

Full time

7 days ago
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Job summary

SaidGig seeks a skilled simulation engineer to create high‑fidelity 3D environments and assets for AI training. You will work across platforms like Isaac Sim, Gazebo, MuJoCo, and PyBullet to mirror real-world objects, materials, and physics.

This is a remote contract engagement, offering competitive hourly pay and the opportunity to collaborate with scientists and engineers. Ideal candidates understand rigid body dynamics, materials properties, and sensor modelling, and bring CAD or 3D design

Qualifications

  • Hands-on experience with at least one robotics or physics simulation platform.
  • Background in 3D modelling, CAD, or environment design.
  • Understanding of physics simulation, including rigid body dynamics, materials, and sensors.
  • Strong collaboration skills with scientific and technical stakeholders.
  • Careful attention to detail when matching real‑world fidelity.

Responsibilities

  • Build and configure 3D assets and environments in simulation platforms.
  • Translate real-world objects and instruments into accurate simulations, matching geometry, scale, materials and physics.
  • Tune mass, friction, collision properties, and joint dynamics for faithful behavior.
  • Collaborate with scientists and subject-matter experts to validate simulated-environment accuracy.
  • Troubleshoot differences between simulated and real-world behavior.

Skills

3D environment design
Robotics simulation
Physics-based simulation

Tools

Isaac Sim
Gazebo
MuJoCo
Unity
Unreal
PyBullet

Job description

SaidGig seeks a skilled simulation engineer to create high‑fidelity 3D environments and assets for AI training. You will work across platforms like Isaac Sim, Gazebo, MuJoCo, and PyBullet to mirror real-world objects, materials, and physics.

This is a remote contract engagement, offering competitive hourly pay and the opportunity to collaborate with scientists and engineers. Ideal candidates understand rigid body dynamics, materials properties, and sensor modelling, and bring CAD or 3D design

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