Sensor Rendering Software Engineer – Photoreal Sim-to-Real

Path Robotics; North Carolina; On-site; USD 110,000 - 170,000; Full time

Benefits offered by this job

Free lunch

Flexible PTO

Medical, Dental, and Vision insurance

401K through Empower

Paid Referral Bonus

Job summary

Path Robotics is building a robust simulation framework to train perception models with photorealistic sensor data. The Software Simulation Engineer will own rendering and simulation of 2D/3D sensors, enabling scalable synthetic datasets for model training.

Responsibilities include implementing physics-based models, building data pipelines, and collaborating with perception teams. Strong Python and experience with Isaac Sim, Unreal Engine, Blender, or Gazebo are required.

Qualifications

• Degree in CS/Robotics/EE with 3+ years (Experienced) or 5+ years (Senior) in simulation, rendering, or perception.
• Strong Python skills for production-grade tooling and plugins.
• Hands-on with NVIDIA Isaac Sim, Unreal Engine, Blender or Gazebo (Classic/Ignition).
• Solid understanding of Physically Based Rendering (PBR) and 3D assets handling (URDF/SDF/USD).
• Experience building annotated synthetic datasets and domain randomization for real-world training.

Responsibilities

• Implement physics-based sensor simulation models across platforms like Isaac Sim, Blender, Unreal Engine.
• Build photorealistic scene rendering pipelines and realistic sensor placement.
• Develop synthetic data pipelines with ground-truth annotations at scale.
• Collaborate with perception teams to meet dataset requirements and write quality Python code.
• Mentor engineers on rendering best practices and synthetic data methods.

Skills

Python

NVIDIA Isaac Sim

Unreal Engine

Blender

Gazebo

Education

CS/Robotics/EE degree

Tools

NVIDIA Isaac Sim

Unreal Engine

Blender

Gazebo (Classic/Ignition)

Job description

Path Robotics is building a robust simulation framework to train perception models with photorealistic sensor data. The Software Simulation Engineer will own rendering and simulation of 2D/3D sensors, enabling scalable synthetic datasets for model training.

Responsibilities include implementing physics-based models, building data pipelines, and collaborating with perception teams. Strong Python and experience with Isaac Sim, Unreal Engine, Blender, or Gazebo are required.