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Photogrammetry Remote Jobs in Lafayette, CA (NOW HIRING)

Photogrammetry Remote information

What is photogrammetry remote work?

Photogrammetry remote work involves using photographs and specialized software to make measurements and create maps or 3D models, all from a remote location. Photogrammetrists can process aerial or satellite images, analyze data, and generate outputs without needing to be on-site. This job requires skills in image processing, attention to detail, and proficiency with photogrammetry software. Remote photogrammetry work is common in industries like surveying, construction, forestry, and archaeology, where spatial data is essential.

What are some common challenges faced by professionals in photogrammetry remote roles, and how can they be managed?

Professionals working in Photogrammetry Remote positions often encounter challenges such as processing large datasets, ensuring data accuracy, and overcoming hardware or software limitations. Managing these challenges typically involves optimizing workflows, using cloud-based processing solutions, and staying current with the latest photogrammetry software updates. Effective communication with project teams and clients is also essential to clarify requirements and address any discrepancies in data interpretation. Continuous learning and collaboration with GIS specialists, surveyors, and other remote sensing professionals can help overcome technical and logistical hurdles.

What are the key skills and qualifications needed to thrive as a photogrammetry remote specialist, and why are they important?

To excel as a Photogrammetry Remote Specialist, you typically need a background in geospatial sciences, cartography, or a related field, along with experience in image processing and spatial data analysis. Familiarity with photogrammetry software (such as Agisoft Metashape or Pix4D), GIS platforms, and possibly UAV/drone operation certification is essential. Strong attention to detail, problem-solving abilities, and effective communication skills help ensure data accuracy and collaboration with multidisciplinary teams. These competencies are crucial for producing precise spatial data products and supporting informed decision-making in mapping, surveying, and remote sensing projects.

What is the difference between Photogrammetry Remote vs GIS Technician?

AspectPhotogrammetry RemoteGIS Technician
Required CredentialsGIS or Geospatial certifications, remote sensing degreesGIS certifications, geography or related degrees
Work EnvironmentRemote, field data collection, officeOffice-based, fieldwork possible
Industry UsageMapping, surveying, 3D modelingMapping, spatial analysis, data management

Photogrammetry Remote and GIS Technicians both work in geospatial fields, often requiring similar certifications and working in remote or office environments. While Photogrammetry Remote focuses on creating 3D models and maps from aerial imagery, GIS Technicians handle spatial data analysis and management. Both roles are essential in mapping and surveying industries, with overlapping skills but different primary tasks.

How to become a photogrammetry remote?

To become a remote photogrammetry specialist, you typically need a background in geospatial sciences, surveying, or related fields, along with proficiency in photogrammetry software such as Pix4D or Agisoft Metashape. Developing skills in 3D modeling, GIS, and remote sensing, as well as gaining experience through projects or certifications, can improve employability. Many roles require a reliable internet connection and the ability to work independently in a remote environment.

What cities near Lafayette, CA are hiring for Photogrammetry Remote jobs?

Cities near Lafayette, CA with the most Photogrammetry Remote job openings:

Infographic showing various Photogrammetry Remote job openings in Lafayette, CA as of August 2026, with employment types broken down into 82% Full Time, 14% Part Time, 2% Temporary, and 2% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution.

Staff Software Engineer - Computer Vision

Array Labs

Redwood City, CA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement

Re-posted 11 days ago


Job description

About Us

Array Labs is building a new way to understand the physical world.

Today, most geospatial systems are built around flat imagery, incomplete elevation models, slow refresh cycles, or narrow-area surveys. The world increasingly needs something better: accurate, frequently updated 3D information about the places, infrastructure, terrain, and activity that shape human decisions.

Array is building that system. We are developing a coordinated fleet of radar satellites designed to create high-resolution 3D data products of the Earth at unprecedented scale, speed, and reliability. Our technology is built to work across wide areas, through clouds, day and night, and to support both commercial and government customers operating in environments where timely physical-world understanding matters.

We design and build our satellites, radar payloads, sensing systems, and data products end-to-end. Our goal is to make 3D geospatial intelligence dramatically more accessible, useful, and operationally relevant for customers in mapping, infrastructure, disaster response, defense, intelligence, energy, telecommunications, mining, and other industries that depend on understanding the changing Earth.

 
About the Job
As a Staff Software Engineer for Computer Vision, you will develop and deploy across all of Array's 3D processing capabilities, including our photogrammetry and radar reconstruction pipelines. The work spans computer vision algorithms and production engineering: you should be equally comfortable reading a paper about unfamiliar algorithms, and shipping new capabilities as production-quality software. The position will work closely with 3D reconstruction scientists, radar algorithms engineers, and product engineers.
Responsibilities
  • Productionize and continuously improve Array's photogrammetry and radar image formation pipelines using industry best practices.
  • Step into individual pipeline stages — bundle adjustment, dense matching, point cloud generation, geometric refinement, geo-referencing — to improve accuracy, robustness, and throughput.
  • Develop and optimize database schemas and storage solutions for managing large-scale 3D geospatial data.
  • Contribute to broader software engineering efforts across the company, including data infrastructure, analytics, and systems to deliver our satellite data to customers.
Basic Qualifications
  • 5+ years of software engineering experience, with a substantial portion focused on computer vision.
  • Strong proficiency in Python and C++, experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (e.g. Docker, Kubernetes).
  • Strong foundation in geometric computer vision, spanning camera modeling, epipolar geometry, and multi-view reconstruction pipelines (stereo, SfM, MVS, bundle adjustment).
  • Excellent communicator, with the ability to make high-quality technical decisions in a startup environment.
Preferred Skills & Experience
  • Experience with geospatial concepts, remote sensing data, or robotics/autonomous vehicle sensor data
  • Familiarity with digital signal processing, radar algorithms, or SAR concepts
  • Familiarity with deep learning approaches to 3D vision (e.g. NeRF, 3D Gaussian Splatting, learned feature matching, or depth estimation)
  • Experience with C++ or CUDA for performance optimization
  • Ability to build visualization tools for geospatial or 3D data (Cesium, Three.js, or similar)
Compensation & Benefits
Our hiring and compensation strategy is simple: find uncommonly good people and pay them uncommonly well.
 
We offer high flexibility between salary and equity-based compensation. Final candidates can choose from three compensation mixes: low, medium, or high equity. Equity is a significant component of total compensation, and we aim to provide meaningful ownership for this role.
 
Full-time employees also enjoy a comprehensive benefits package including health, dental, vision, a 401(k) with company match, commuter benefits, and more.
 
 
Interview Process
We will conduct interviews via Google Meet with the potential for an onsite visit; the typical process takes around 3-5 weeks to complete from start to finish.
 
 
Why Join Array
At Array Labs, deep technical expertise meets relentless impact. We prioritize curiosity over hierarchy and bold engineering over incremental gains. Our world-class team across hardware engineering, software, and aerospace works collaboratively to push boundaries and move fast.
 
Our values:
  1. Build What Matters: Create technology that serves customers and advances humanity
  2. Innovate Together: Stay curious, collaborate openly, push boundaries as one team
  3. Employee Centric: Put our people first with a culture of trust, respect, and opportunity
  4. Join industry-leading experts to deliver unprecedented insights about our planet and build the future of Earth observation.
 
ITAR Requirements
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
 
Equal Opportunity Employer
Array Labs is an Equal Opportunity Employer. Employment decisions are made on the basis of merit, competence, and job qualifications and will not be influenced in any manner by gender, color, race, ethnicity, national origin, sexual orientation, religion, age, gender identity, veteran status, disability status, marital status, mental or physical disability or any other legally protected status.
 
If you require a reasonable accommodation during the application or interview process, please let us know.