Senior Sensor Simulation Engineer

Centraprise, Corp.; Irving (TX); Sur place; USD 100 000 - 140 000; Plein temps

Résumé du poste

Centraprise, Corp. seeks a skilled sensor simulation engineer to develop and validate realistic camera and LiDAR models for perception in robotics and autonomous systems.

You will work on synthetic data pipelines, sensor calibration, and validation against real-world measurements, ensuring scalable, GPU-accelerated simulations for large-scale testing. Ideal candidates have strong Python/C++ programming and data analysis skills, with experience in camera and LiDAR sensor modeling and a focus on

Qualifications

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

Responsabilités

• Develop and validate realistic camera, LiDAR, GNSS, IMU, and related sensor models for perception development, synthetic data, and autonomous-system testing.
• 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.

Connaissances

Camera simulation

LiDAR simulation

Python

C++

Data analysis

Outils

OpenCV

PCL

Omniverse sensors

Isaac Sim

Replicator

ROS2

Description du poste

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

Good to Have

Radar, GNSS/IMU, ROS2, OpenCV, PCL, Omniverse sensors, Isaac Sim, Replicator, or domain

randomization.

Develop and validate realistic camera, LiDAR, GNSS, IMU, and related sensor models for perception development, synthetic data, and autonomous-system testing.

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.

Managerial Skills

Collaborate with rendering, scenario, robotics, data, and AI engineering teams.