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Photogrammetry Remote Sensing Jobs (NOW HIRING)

Photogrammetry, Remote Sensing, Image Science, Geographic Information Systems (GIS), Geomatics, Information Science Additional Consideration Candidates may demonstrate the required GEOINT data ...

Photogrammetry, Remote Sensing, Image Science, Geographic Information Systems (GIS), Geomatics, Information Science Additional Consideration Candidates may demonstrate the required GEOINT data ...

Photogrammetry, Remote Sensing, Image Science, Geographic Information Systems (GIS), Geomatics, Information Science Additional Consideration Candidates may demonstrate the required GEOINT data ...

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Photogrammetry Remote Sensing information

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$28

$32

$36

How much do photogrammetry remote sensing jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for photogrammetry remote sensing in the United States is $32.69, according to ZipRecruiter salary data. Most workers in this role earn between $30.77 and $34.62 per hour, depending on experience, location, and employer.

What are photogrammetry and remote sensing?

Photogrammetry and remote sensing are techniques used to obtain information about objects or areas from a distance, typically using aerial or satellite imagery. Photogrammetry focuses on measuring and interpreting photographic images to create maps, 3D models, or extract spatial data. Remote sensing refers to the broader process of collecting data about the Earth's surface without physical contact, often using sensors on aircraft or satellites to analyze land use, vegetation, and environmental changes. Both fields are essential in geography, environmental science, urban planning, and resource management.

What are the key skills and qualifications needed to thrive as a photogrammetry remote sensing specialist?

To thrive as a Photogrammetry Remote Sensing Specialist, you need a solid background in geospatial science, image analysis, and GIS, typically supported by a relevant degree in geography, geomatics, or remote sensing. Proficiency with specialized software like ERDAS Imagine, ENVI, and ArcGIS, as well as familiarity with drone or satellite data acquisition, is essential. Strong analytical skills, attention to detail, and effective communication abilities help in interpreting data and collaborating with multidisciplinary teams. These competencies are vital for transforming raw imagery into actionable insights for environmental monitoring, urban planning, and resource management.

What are some common challenges faced in a photogrammetry remote sensing role and how can I prepare for them?

Professionals in Photogrammetry Remote Sensing often encounter challenges related to data quality, processing large datasets, and integrating diverse sensor outputs. Staying up-to-date with the latest software and processing techniques is critical, as is developing strong analytical skills to interpret complex spatial data. Collaboration with GIS specialists, surveyors, and project managers is common, so effective communication and teamwork are also key to overcoming project hurdles and delivering accurate results.

What is the difference between Photogrammetry Remote Sensing vs GIS Analyst?

AspectPhotogrammetry Remote SensingGIS Analyst
Required CredentialsDegree in Geomatics, Remote Sensing, or related fields; certifications in GIS or remote sensing softwareDegree in Geography, GIS, or related fields; certifications in GIS software
Work EnvironmentField data collection, aerial and satellite image analysis, software processingData analysis, map creation, spatial data management in office settings
Industry UsageMapping, environmental monitoring, urban planningUrban planning, transportation, resource management

While both roles involve spatial data, Photogrammetry Remote Sensing focuses on acquiring and analyzing aerial and satellite imagery, often involving fieldwork and specialized software. GIS Analysts primarily manage and analyze spatial data within GIS platforms for various planning and analysis purposes. Understanding these differences helps professionals choose the right career path or job focus within geospatial industries.

What other helpful pages are available for Photogrammetry Remote Sensing?

Other pages related to Photogrammetry Remote Sensing:

Infographic showing various Photogrammetry Remote Sensing job openings in the United States as of September 2026, with employment types broken down into 89% Full Time, 10% Part Time, and 1% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $68,000 per year, or $32.7 per hour.

Staff Software Engineer - Computer Vision

Redwood City, CA โ€ข On-site, Remote

Array Labs
Guided Missile and Space Vehicle Manufacturingย โ€ขย 1 - 10 employees

$150K - $300K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 23 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.

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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)
$150,000 - $300,000 a year
Compensation & Benefits
Our hiring and compensation strategy is simple: find uncommonly good people and pay them uncommonly well.
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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.
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Full-time employees also enjoy a comprehensive benefits package including health, dental, vision, a 401(k) with company match, commuter benefits, and more.
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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.
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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.
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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.
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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.
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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.
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If you require a reasonable accommodation during the application or interview process, please let us know.
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