Senior Sensor Simulation Engineer - Remote (Camera/LiDAR)

The Judge Group

Irving (TX)

Remote

USD 140,000 - 150,000

Full time

25 hours ago
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Benefits offered by this job

Medical insurance
Dental and vision coverage
Retirement plan with company contrib.
Paid time off

Job summary

The Judge Group is seeking a Senior Sensor Simulation Engineer to join our team in Irving, TX, with remote options. This full-time role focuses on developing and validating realistic camera and LiDAR sensor models for perception development and autonomous-system testing.

You will implement sensor models, calibrations, and environmental effects, and you will generate synchronized multimodal outputs with ground truth data.

Qualifications

  • Strong experience with camera and/or LiDAR simulation for robotics or autonomous systems.
  • Understanding of sensor physics, calibration, coordinate transforms, timestamps, and ground truth.
  • Proficiency in Python and C++ for engineering and data analysis.

Responsibilities

  • Develop and validate realistic camera, LiDAR, GNSS, IMU, and related sensor models for perception development and synthetic data.
  • Implement sensor models, parameters, noise, artifacts, latency, timing, calibration, coordinate frames, and environmental effects.
  • Generate synchronized multimodal outputs and ground truth for perception workflows.
  • Calibrate synthetic outputs against real sensor data and define validation metrics.
  • Optimize sensor simulation for scale, repeatability, and GPU performance.

Skills

Camera simulation
LiDAR simulation
Sensor physics
Python

Tools

ROS2
OpenCV
PCL
Omniverse sensors
Isaac Sim

Job description

The Judge Group is seeking a Senior Sensor Simulation Engineer to join our team in Irving, TX, with remote options. This full-time role focuses on developing and validating realistic camera and LiDAR sensor models for perception development and autonomous-system testing.

You will implement sensor models, calibrations, and environmental effects, and you will generate synchronized multimodal outputs with ground truth data.

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