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Hourly Lidar Data Processing Jobs in Michigan (NOW HIRING)

Velo Associates PLC

Processing

Grand Rapids, MI · On-site

$17 - $20/hr

Hourly Travel Required: None Position Type: Full Time HR Contact: HR Director General Purpose ... Review data for deficiencies or errors. * Enter data quickly and efficiently. GENERAL ...

Wade Trim

Survey Manager - #2826

Taylor, MI · On-site

Lead point cloud data extraction, processing, and deliverable development * Integrate LiDAR and 3D scanning workflows with client deliverables * Position Wade Trim as a technology leader in ...

Wade Trim

Survey Manager - #2826

Traverse City, MI · On-site

Lead point cloud data extraction, processing, and deliverable development * Integrate LiDAR and 3D scanning workflows with client deliverables * Position Wade Trim as a technology leader in ...

Wade Trim

Survey Manager - #2826

Detroit, MI · On-site

Lead point cloud data extraction, processing, and deliverable development * Integrate LiDAR and 3D scanning workflows with client deliverables * Position Wade Trim as a technology leader in ...

Wade Trim

Survey Manager - #2826

Traverse City, MI · On-site

Lead point cloud data extraction, processing, and deliverable development * Integrate LiDAR and 3D scanning workflows with client deliverables * Position Wade Trim as a technology leader in ...

Wade Trim

Survey Manager - #2826

Taylor, MI · On-site

Lead point cloud data extraction, processing, and deliverable development * Integrate LiDAR and 3D scanning workflows with client deliverables * Position Wade Trim as a technology leader in ...

Wade Trim

Survey Manager - #2826

Detroit, MI · On-site

Lead point cloud data extraction, processing, and deliverable development * Integrate LiDAR and 3D scanning workflows with client deliverables * Position Wade Trim as a technology leader in ...

Wade Trim

Survey Manager - #2826

Grand Rapids, MI

Lead point cloud data extraction, processing, and deliverable development * Integrate LiDAR and 3D scanning workflows with client deliverables * Position Wade Trim as a technology leader in ...

Wade Trim

Survey Manager - #2826

Flint, MI · On-site

Lead point cloud data extraction, processing, and deliverable development * Integrate LiDAR and 3D scanning workflows with client deliverables * Position Wade Trim as a technology leader in ...

Wade Trim

Survey Manager - #2826

Taylor, MI · On-site

Lead point cloud data extraction, processing, and deliverable development * Integrate LiDAR and 3D scanning workflows with client deliverables * Position Wade Trim as a technology leader in ...

Wade Trim

Survey Manager - #2826

Flint, MI · On-site

Lead point cloud data extraction, processing, and deliverable development * Integrate LiDAR and 3D scanning workflows with client deliverables * Position Wade Trim as a technology leader in ...

Wade Trim

Survey Manager - #2826

Bay City, MI

Lead point cloud data extraction, processing, and deliverable development * Integrate LiDAR and 3D scanning workflows with client deliverables * Position Wade Trim as a technology leader in ...

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Hourly Lidar Data Processing information

What is the difference between Hourly Lidar Data Processing vs Lidar Data Analyst?

AspectHourly Lidar Data ProcessingLidar Data Analyst
Primary RoleProcessing raw Lidar data into usable formatsAnalyzing processed Lidar data for insights
Skills & CertificationsGIS, remote sensing, data processing toolsGIS, data analysis, reporting skills
Work EnvironmentField data collection, office processingOffice-based data analysis and reporting
Industry UsageSurveying, mapping, environmental studiesUrban planning, infrastructure, research

Hourly Lidar Data Processing focuses on converting raw Lidar data into usable formats, requiring technical skills in data processing. Lidar Data Analysts interpret and analyze this processed data to generate insights. While both roles require knowledge of GIS and remote sensing, processing is more technical and hands-on, whereas analysis emphasizes interpretation and reporting.

What are some common challenges faced in hourly Lidar data processing roles and how can they be addressed?

Hourly Lidar data processing professionals often encounter challenges such as managing large volumes of raw data, ensuring data quality and accuracy, and meeting tight turnaround times. Dealing with inconsistencies in data due to varying environmental conditions or equipment calibration can also be demanding. To address these, it’s helpful to follow standardized workflows, use automated tools for data cleaning and classification, and maintain clear communication with the data collection team. Staying organized and collaborating closely with colleagues can streamline processing and help ensure deliverables meet client expectations.

What is hourly LiDAR data processing?

Hourly LiDAR data processing refers to the analysis and interpretation of LiDAR (Light Detection and Ranging) data on an hourly basis. This involves collecting raw LiDAR data, cleaning and filtering the data, and generating useful outputs such as 3D models or elevation maps. The role is important in industries like surveying, forestry, construction, and autonomous vehicles, where up-to-date spatial information is crucial for decision-making. Professionals in this field use specialized software to process and manage large datasets efficiently. The hourly aspect usually means that workers are paid by the hour and may handle tasks as projects or data come in.

What are the key skills and qualifications needed to thrive as an Hourly Lidar Data Processing specialist, and why are they important?

To thrive in Hourly Lidar Data Processing, you need a solid understanding of geospatial data concepts, attention to detail, and experience with Lidar data formats, often supported by coursework or training in geography, GIS, or remote sensing. Proficiency in specialized software such as LAStools, ArcGIS, QGIS, and familiarity with point cloud processing systems is typically required. Analytical thinking, problem-solving, and strong organizational skills help individuals stand out in managing large datasets efficiently. These skills are crucial for ensuring accurate, timely, and reliable data outputs that support mapping, surveying, and environmental analysis projects.
What are the most commonly searched types of Lidar Data Processing jobs in Michigan? The most popular types of Lidar Data Processing jobs in Michigan are:
What cities in Michigan are hiring for Hourly Lidar Data Processing jobs? Cities in Michigan with the most Hourly Lidar Data Processing job openings:
Hourly Lidar Data Processing jobs near you
Senior Perception Engineer - Computer Vision & 3D Deep Learning IRC295016

Senior Perception Engineer - Computer Vision & 3D Deep Learning IRC295016

GlobalLogic

Northville, MI • On-site

$99K - $136K/yr

Full-time

Posted 5 days ago

GlobalLogic rating

7.5

Company rating: 7.5 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

122nd of 190 rated software companies

Job description

Job Summary:
GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest companies. They are seeking a Senior Perception Engineer specializing in computer vision and deep learning, responsible for designing and implementing algorithms for object detection and segmentation using camera and LiDAR data fusion.
Responsibilities:
• Design and implement computer vision algorithms for object detection and segmentation using camera and LiDAR data fusion.
• Develop deep learning models for 2D and 3D object detection, including implementation and optimization of YOLO, Faster R-CNN, SSD, and transformer-based architectures.
• Create and optimize LiDAR point cloud processing pipelines using PCL and Open3D for 3D object detection and segmentation.
• Implement sensor fusion techniques to combine camera and LiDAR data for enhanced object detection accuracy.
• Develop instance and semantic segmentation algorithms using state-of-the-art models like Mask R-CNN, U-Net, and DeepLab.
• Implement and optimize deep learning models specifically designed for LiDAR point clouds, including PointNet, PointNet++, and other 3D neural network architectures.
• Develop robust perception algorithms that maintain performance in adverse weather conditions such as rain, snow, fog, and low-light scenarios.
• Build and maintain computer vision pipelines using OpenCV for image preprocessing, feature extraction, and geometric transformations.
• Design and implement multi-object tracking systems using Kalman filtering, SORT, and DeepSORT algorithms.
• Work with ROS2 for integration and deployment of perception algorithms.
• Optimize deep learning models for edge deployment and real-time inference performance.
• Develop robust evaluation metrics and testing frameworks for object detection systems.
• Collaborate with cross-functional teams to integrate perception algorithms into larger autonomous systems.
• Stay up-to-date with industry trends and emerging technologies to innovate and improve perception systems.
Qualifications:
Required:
• Strong expertise in computer vision and deep learning for object detection and segmentation tasks.
• Proficiency in deep learning frameworks (PyTorch and TensorFlow) with hands-on experience implementing detection models (YOLO, Faster R-CNN, SSD, RetinaNet, Detectron, etc.).
• Extensive experience with OpenCV for image processing and computer vision applications.
• Solid background in 3D perception using LiDAR point clouds; proficiency with PCL and Open3D libraries.
• Familiarity with LiDAR-specific deep learning models such as PointNet, PointNet++, VoxelNet, and other point cloud neural network architectures.
• Experience in developing and improving perception models for adverse weather conditions (rain, snow, fog) including domain adaptation and robust feature extraction techniques.
• Experience with sensor fusion techniques for combining camera and LiDAR data streams.
• Strong programming skills in Python and C++ for algorithm development and optimization.
• Experience with model optimization techniques for real-time inference.
• Familiarity with 3D geometry, coordinate transformations, and spatial data processing.
• Knowledge of evaluation metrics for object detection and tracking systems (mAP, IoU, custom metrics, etc.).
Company:
GlobalLogic is a product development services company that specializes in chip-to-cloud software engineering. Founded in 2000, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

What GlobalLogic employees say

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