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Point Cloud Jobs in California (NOW HIRING)

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 ...

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 ...

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 ...

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

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 ...

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 ...

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 ...

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 ...

... 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 ...

Explore and manipulate 3D point cloud & mesh data * Own the delivery of technical workstreams * Create analytics environments and resources in the cloud or on premise, spanning data engineering and ...

Explore and manipulate 3D point cloud & mesh data * Own the delivery of technical workstreams * Create analytics environments and resources in the cloud or on premise, spanning data engineering and ...

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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?

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:
Infographic showing various Point Cloud job openings in California as of July 2026, with employment types broken down into 81% Full Time, 16% Part Time, 1% Temporary, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Head of ML & Geometry (3D Simulation/Point Cloud) (San Francisco)

Attis

San Francisco, CA • On-site

$200K - $270K/yr

Full-time

Medical, Vision, Retirement

This job post has expired today. Applications are no longer accepted.


Job description

Head of ML & Geometry (3D Simulation/Point Cloud)

Head of ML/3D Simulation & Geometry sought for a well‑funded hypergrowth startup building a next‑gen simulation platform powering breakthrows in robotics, aerospace and autonomous vehicles. We are looking for a hands on/technically minded ML Lead to build core models and representations that let agents interpret CAD, simulation data and 3D environments to bridge the gap between geometry and engineering.

As an SME in ML you will develop perception models and build multimodal pipelines that integrate visual, geometric and language‑based inputs to provide context for LLM‑driven agents. This is a really exciting opportunity to head up AI & ML with a forward‑thinking and sharp startup who are working on real‑world problems.

Base pay range: $200,000.00/yr - $270,000.00/yr

Location: San Francisco, CA (Onsite)

Employment type: Full‑time

Seniority level: Mid‑Senior level

Skills sought:

  • 5+ years as an ML Engineer building models and working in Python & PyTorch (or equivalent)
  • Experience in 3D perception or scene understanding or understanding of Geometry/Point clouds, meshes etc
  • Strong experience of neural networks for geometric data as well as experience building and deployment ML models from end to end
  • Comfortable working in a fast paced ambiguous startup environment
  • Bonus points for knowledge of multi‑agent systems, reinforcement learning or mechanical engineering

Benefits:

Paid between $200,000‑270,000 base + generous equity and other benefits. Working on site in SF. 401(k), Medical insurance, Vision insurance.

Disclaimer: Attis Global Ltd is an equal opportunities employer. No terminology in this advert is intended to discriminate on any of the grounds protected by law, and all qualified applicants will receive consideration for employment without regard to age, sex, race, national origin, religion or belief, disability, pregnancy and maternity, marital status, political affiliation, socio‑economic status, sexual orientation, gender, gender identity and expression, and/or gender reassignment. M/F/D/V. We operate as a staffing agency and employment business. More information at attisglobal.com.

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