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Point Cloud Jobs in California (NOW HIRING)

FieldAI

BIM/VDC Engineer

Irvine, CA

Point Cloud to BIM Workflows * Work with point cloud data from LiDAR scans, 360 captures, or reality capture systems. * Understand scan registration quality, point cloud density, alignment issues ...

FieldAI

BIM/VDC Engineer

Irvine, CA

Point Cloud to BIM Workflows * Work with point cloud data from LiDAR scans, 360 captures, or reality capture systems. * Understand scan registration quality, point cloud density, alignment issues ...

FieldAI

BIM/VDC Engineer

Irvine, CA · On-site

Point Cloud to BIM Workflows * Work with point cloud data from LiDAR scans, 360 captures, or reality capture systems. * Understand scan registration quality, point cloud density, alignment issues ...

FieldAI

2.53 3D Machine Learning Engineer

Irvine, CA · On-site

Responsibilities : • Design and implement scalable machine learning pipelines for large-scale 3D spatial data processing for point cloud analysis, object detection, segmentation, and scene ...

IntelliPro

Data Annotator

San Francisco, CA · On-site

Responsibilities : • Annotate visual 3D data (LiDAR/Point Cloud) and 2D camera imagery using bounding boxes, cuboids, polygons, and pixel-level semantic segmentation. • Identify, label, and ...

FieldAI

3D Machine Learning Engineer

Irvine, CA · On-site

$150K - $200K/yr

Design and implement scalable machine learning pipelines for large-scale 3D spatial data processing for point cloud analysis, object detection, segmentation, and scene understanding. * Train ...

FieldAI

3D Machine Learning Engineer

Irvine, CA

$150K - $200K/yr

Design and implement scalable machine learning pipelines for large-scale 3D spatial data processing for point cloud analysis, object detection, segmentation, and scene understanding. * Train ...

FieldAI

3D Machine Learning Engineer

Irvine, CA

$150K - $200K/yr

Design and implement scalable machine learning pipelines for large-scale 3D spatial data processing for point cloud analysis, object detection, segmentation, and scene understanding. * Train ...

Anvil Corporation

Sr Structural Designer

Caspar, CA

... point cloud, survey data, maps, drawings, aerial photography, topographical and geotechnical data for project planning and execution purposes Perform periodic field visits to project sites to obtain ...

REY Engineers, Inc

Extraction Technician

Folsom, CA · On-site +1

Process and extract topographic and feature data from LiDAR and point cloud datasets (MTLS, UAV, TLS, and bathymetric). * Utilize MicroStation and TopoDOT to develop accurate existing conditions ...

Dudek

Land Surveying CAD Technician

Encinitas, CA · On-site

$38 - $47.50/hr

This position offers an opportunity to work on varied projects, including plats, legal descriptions, point cloud/ LiDAR topography, and boundary mapping, in a collaborative and mentorship-driven ...

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Point Cloud information

What are the key skills and qualifications needed to thrive in the Point Cloud position, and why are they important?

To thrive as a Point Cloud Specialist, you need a strong foundation in 3D spatial data processing, knowledge of surveying principles, and experience with geospatial software, often supported by a degree in geomatics or a related field. Familiarity with tools such as LiDAR scanners, point cloud processing software (like Autodesk ReCap or CloudCompare), and CAD/GIS systems is essential. Attention to detail, analytical problem-solving, and effective communication are key soft skills for success in this role. These competencies are crucial for producing accurate and actionable 3D models that support engineering, construction, or mapping projects.

What are the typical daily responsibilities of a Point Cloud Specialist?

As a Point Cloud Specialist, your daily tasks often include processing and analyzing raw 3D data from LiDAR or photogrammetry sources, cleaning and aligning point clouds, and converting them into usable models or maps. You’ll collaborate closely with surveyors, engineers, or architects to ensure your data meets project requirements and integrates smoothly with other digital assets. Attention to quality control and detail is important, as your deliverables often form the foundation for design, construction, or spatial analysis work. In addition, you might be tasked with troubleshooting data inconsistencies or optimizing workflows to improve efficiency and accuracy.

What is a Point Cloud job?

A Point Cloud job involves working with 3D data representations of physical spaces, typically generated from LiDAR scans or photogrammetry. Professionals in this field process, analyze, and manipulate point cloud datasets for applications in construction, engineering, surveying, and mapping. They use specialized software to clean, classify, and convert raw point cloud data into useful models or visualizations. This role often requires expertise in 3D modeling, GIS, or CAD software, along with a strong understanding of spatial data.

What are the most commonly searched types of Point Cloud jobs in California? The most popular types of Point Cloud jobs in California are:
What are popular job titles related to Point Cloud jobs in California? For Point Cloud jobs in California, the most frequently searched job titles are:
What job categories do people searching Point Cloud jobs in California look for? The top searched job categories for Point Cloud jobs in California are:
Point Cloud jobs near you
Infographic showing various Point Cloud job openings in California as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.
Senior Systems Engineer, Customer Programs

Senior Systems Engineer, Customer Programs

AEye, Inc

Pleasanton, CA • On-site

$140K - $170K/yr

Full-time

Posted 3 days ago

Job description

Senior Systems Engineer, Customer Programs
We are looking for a Senior Systems Engineer to serve as the technical lead and primary point of contact for our customers. In this role you will define, evaluate, and optimize lidar system performance across algorithm design and production readiness, while leading customer engagements, deployments, and product demonstrations. You will work as the internal bridge between Business Development, Product Management, and Engineering, translating real-world customer requirements into measurable system objectives and carrying customer feedback back into the engineering roadmap. The role suits an engineer who is equally comfortable in point cloud data and in front of a customer.
Key Responsibilities
  • Customer technical lead: serve as the technical lead and main point of contact for automotive and industrial customers across pre-sales and post-sales, leading deployments and proof-of-concept projects.
  • Demonstrations and presentations: execute product demonstrations and deliver technical presentations to both technical and non-technical audiences.
  • Field troubleshooting and issue resolution: perform hands-on troubleshooting end to end, from hardware signals through software output, triage and resolve field issues including returns and failure investigation, and report defects with clear, actionable problem statements.
  • Requirement definition and evaluation: gather requirements directly from customers and translate system-level objectives into measurable requirements, ensuring compliance across development phases.
  • Point cloud and raw data analysis: perform in-depth analysis of lidar point cloud and raw sensor data to evaluate system capabilities and limitations.
  • Sensor performance evaluation: characterize system behavior under diverse operating conditions, including weather, optical disturbances, and production variability, both in the lab and at customer sites.
  • Data collection and analysis: design and execute data collection campaigns, and analyze large sensor datasets to extract insights that guide system improvements.
  • Voice of the customer: carry field feedback and performance gaps back into the engineering roadmap.
  • Feature and algorithm design: develop, test, and implement algorithms for point cloud processing, calibration, and system performance monitoring.
  • KPI definition and testing: establish key performance indicators (for example range accuracy, false alarm rate, separability) and design validation methods.

Qualifications
Required
  • Bachelor's or Master's degree in Electrical Engineering, Computer Science, Mechatronics, or a related field.
  • 5+ years of experience in software, algorithms, and system performance engineering, preferably in lidar or related sensor technologies.
  • Strong background in signal and image processing, embedded systems, and simulation environments.
  • Proficiency in C++ and Python for algorithm development, performance testing, data analysis, and the ability to read, debug, and modify production code.
  • Hands-on experience with lidar raw data and point cloud analysis, including inspection, validation, and common failure modes.
  • Proven experience with sensor calibration, production integration, and automation tools.
  • Demonstrated ability to define and evaluate system requirements, KPIs, and validation methods.
  • Experience troubleshooting sensor systems end to end, from hardware signals through software output, including field deployment and debugging.
  • Customer-facing experience: leading engagements with external partners and customers, and presenting to technical and non-technical audiences.
  • Structured problem solving, including root cause investigation and identification of system-level performance gaps, with clear technical documentation and reports.
  • Comfortable working in Linux environments, including shell, networking basics, and log analysis.

Preferred
  • Familiarity with automotive industry standards (for example ASPICE, MISRA, AUTOSAR, V-Model, SAFe).
  • Experience with sensor fusion, time synchronization, and perception applications.
  • Experience in automotive or industrial markets.
  • Familiarity with ROS or ROS2.
  • Experience with automated test scripts and CI pipelines.
  • Experience with IT, networks, and embedded platforms.

Additional Requirements
  • Global travel as required, in the range of 20 to 30 percent.
  • Valid California driver's license to operate company vehicles.
  • Ability to lift or carry items up to 50 lbs.

Position is onsite a minimum of 3 days at our Pleasanton, CA Office
Base Annual Salary Range: $140K-170K

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