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Remote Sensing Jobs in Ohio (NOW HIRING)

Experience and understanding of EO/IR signature phenomenologies specific to passive remote sensing applications and missile/aircraft systems Desired Qualifications * Active Top Secret Clearance

Software Engineer, Senior

Dayton, OH · On-site +1

$119K - $157K/yr

Background in signal processing, image processing, or remote sensing data workflows. * Experience with simulation, modeling, or mission analysis software in a defense or intelligence context.

A Bachelor's or Master's degree in Geography, GIS, Remote Sensing, Data Science, Energy Planning, or a related field. * Experience applying GIS within the energy sector, including electrification ...

A Bachelor's or Master's degree in Geography, GIS, Remote Sensing, Data Science, Energy Planning, or a related field. * Experience applying GIS within the energy sector, including electrification ...

Software Engineer, Senior

Dayton, OH · On-site +1

$119K - $157K/yr

Background in signal processing, image processing, or remote sensing data workflows. * Experience with simulation, modeling, or mission analysis software in a defense or intelligence context.

Sr. Staff Software Engineer

Dayton, OH · On-site +1

$119K - $157K/yr

For the past forty-five plus years, we have supported Department of Defense customers by developing innovative remote sensing algorithms, tools, and techniques to deliver world-class data ...

Aerospace Engineer

Dayton, OH · On-site +1

$86K - $198K/yr

You'll work with a large community of aerospace and software engineers, remote sensing scientists, and domain experts across the effort and collaborate with clients and customers to deliver world ...

Showing results 21-40

Remote Sensing information

See Ohio salary details

$26

$30

$33

How much do remote sensing jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for remote sensing in Ohio is $30.50, according to ZipRecruiter salary data. Most workers in this role earn between $28.70 and $32.31 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals working in remote sensing, and how can they be addressed?

Professionals in remote sensing often encounter challenges such as handling and processing large volumes of complex data, staying updated with rapidly evolving technology, and ensuring data accuracy for analysis. These can be addressed by developing strong skills in data management and using advanced software tools, participating in continuous learning opportunities, and collaborating closely with multidisciplinary teams such as GIS analysts, data scientists, and field researchers. Establishing clear workflows and maintaining open communication with stakeholders also helps ensure project goals are met effectively.

What is remote sensing?

Remote sensing is the science and technology of obtaining information about objects or areas from a distance, typically using aircraft or satellites. It involves capturing data through sensors that detect reflected or emitted energy from the Earth's surface. This information is used in various fields such as environmental monitoring, agriculture, urban planning, and disaster response. Remote sensing allows for large-scale data collection without direct contact, making it invaluable for tracking changes over time.

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

To thrive as a Remote Sensing Specialist, you need expertise in geospatial analysis, image processing, and a background in environmental science, geography, or a related field. Proficiency in GIS software (such as ArcGIS or QGIS), remote sensing tools (like ENVI or ERDAS Imagine), and programming languages (like Python or R) is typically required. Strong analytical thinking, attention to detail, and effective communication skills make a candidate stand out. These abilities are vital for accurately interpreting satellite or aerial data and translating insights into actionable information for decision-makers.

What can I do with remote sensing?

Remote sensing professionals analyze satellite or aerial imagery to monitor environmental changes, manage natural resources, and support urban planning. They use tools like GIS software and may require skills in data analysis, image processing, and knowledge of sensor technologies.

What careers use remote sensing?

Remote sensing is used in careers such as environmental scientists, GIS analysts, cartographers, and remote sensing specialists. These roles involve analyzing satellite or aerial imagery to monitor land use, climate change, agriculture, and natural resources, often requiring skills in GIS software and remote sensing tools. Professionals in this field typically work for government agencies, research institutions, or private companies focused on geospatial data analysis.

What is the difference between Remote Sensing vs GIS Analyst?

AspectRemote SensingGIS Analyst
Required CredentialsBachelor's in Geography, Environmental Science, or related; often GIS or remote sensing certificationsBachelor's in Geography, GIS, or related; GIS certifications common
Work EnvironmentField data collection, satellite image analysis, laboratory workOffice-based, map creation, spatial data analysis
Industry UsageEnvironmental monitoring, agriculture, defense, urban planningUrban planning, transportation, utilities, environmental management
Search & Comparison IntentFocus on satellite data analysis and image processingFocus on spatial data management and map creation

Remote Sensing and GIS Analyst roles share overlapping skills in spatial data and GIS tools, but Remote Sensing emphasizes satellite and aerial image analysis, while GIS Analysts focus on managing and analyzing geographic data for mapping and decision-making.

What is remote sensing?

Remote sensing is the process of using satellite, sonar, and aerial imagery to gather information about an area. Remote sensing is often used to collect information on the spread of forest fires, track weather formations, and map the bottom of the ocean. In most time-sensitive cases, sensors are attached to a drone or airplane so they can collect data and add it to the Geospatial Information System (GIS). For businesses, remote sensing is typically used for land surveying, commercial and economic planning, early warning systems, and air traffic control. Remote sensing information is also available through public programs like Google Earth which allow researchers and companies to analyze information without having to collect it themselves.

What job categories do people searching Remote Sensing jobs in Ohio look for? The top searched job categories for Remote Sensing jobs in Ohio are:
What cities in Ohio are hiring for Remote Sensing jobs? Cities in Ohio with the most Remote Sensing job openings:
Infographic showing various Remote Sensing job openings in Ohio as of August 2026, with employment types broken down into 87% Full Time, 9% Part Time, and 4% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $63,434 per year, or $30.5 per hour.

Computer Vision Software Engineer, Lead

Booz Allen Hamilton, Inc.

Dayton, OH • On-site, Remote

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 12 days ago


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

9th of 72 rated business consultants


Job description


Remote Work:
No
Job Number:
R0245705
Location:
Dayton,OH,US
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Computer Vision Software Engineer, Lead
The Opportunity:
As a Senior Computer Vision Engineer, you will design, develop, and optimize advanced computer vision and multi-sensor fusion algorithms supporting GEOINT-mission workflows. You will lead the development of deep learning models, real-time tracking systems, and GPU-accelerated pipelines deployed in operational environments. You will shape next-generation tools that integrate imaging physics, ML-based behavior inference, and multi-sensor fusion.
You'll join a collaborative technical delivery team where you'll contribute to secure, reliable, and user-centric tools that accelerate mission outcomes.
What You'll Work On:
  • Develop and implement deep learning computer vision models, with a focus on sensor fusion and target tracking.
  • Collaborate with multidisciplinary teams to design, develop, test, and deploy technical solutions in Python or C++.
  • Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision applications.
  • Contribute to the architecture and implementation of novel single and multi-sensor detection and tracking and fusion of targets.

Join us. The world can't wait.
You Have:
  • 6+ years of experience developing computer vision algorithms for detection, tracking, or multi-sensor fusion in remote sensing or GEOINT environments
  • 2+ years of experience applying deep learning to computer vision problems using transformer-based or self-supervised architectures
  • Experience implementing model pipelines in Python or C++, including training, evaluation, and deployment workflows
  • Experience with administration of continuous integration or continuous deployment (CI/CD) pipelines using Kubernetes, Docker, or Jenkins
  • Experience with Agile methodology, extreme programming, software engineering, product management, and software products, and acquiring client requirements and resolving workflow problems through automation optimization
  • Knowledge of GPU-accelerated development using CUDA, RAPIDS, or GPU programming frameworks
  • Knowledge of classical tracking or estimation methods such as Kalman or extended filters, to support real-time algorithm development
  • Ability to design, test, and optimize algorithms for operational performance in constrained computing environments such as multi-GPU servers or cloud
  • Active TS/SCI clearance; willingness to take a polygraph exam
  • Bachelor's degree in a STEM field

Nice If You Have:
  • Experience with GPU-accelerated deep learning, including CUDA kernel development, TensorRT optimization, RAPIDS, or distributed multi-GPU training
  • Experience developing synthetic data, kinematic target models, or scenario simulation tools to support algorithm training or evaluation
  • Experience with advanced estimation, tracking, and fusion techniques such as joint multi-sensor registration, Bayesian fusion, particle filters, or deep multi-object tracking pipelines
  • Experience with MLOps or scalable deployment systems, including Docker, Kubernetes, ONNX Runtime, or Triton Inference Server
  • Experience building or optimizing microservice architectures or distributed systems for real-time data processing
  • Experience integrating CV models into edge, embedded, or latency-constrained operational environments
  • Experience with transformer-based vision architectures beyond DINO, CLIP, or SAM such as ViT variants or self-supervised multi-modal encoders
  • Experience with cloud ML platforms such as AWS GovCloud, Azure ML, or on-premises GPU clusters
  • Knowledge of geospatial data formats, sensor phenomenology, or remote-sensing exploitation workflows
  • Master's degree in CS, Electrical Engineering, Computer Engineering, AI/ML, Physics, or Mathematics preferred; Doctorate degree in CS, Electrical Engineering, Computer Engineering, AI/ML, Physics, or Mathematics a plus

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $112,800.00 to $257,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914