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Remote Sensor Operator Jobs (NOW HIRING)

GRVTY

Software Engineer, Senior

Herndon, VA · On-site +1

$126K - $166K/yr

You will work directly with scientists, sensor domain experts, and intelligence analysts ... Comfortable operating in both Windows and Linux environments, including secure or classified ...

GRVTY

Software Engineer, Senior

Dayton, OH · On-site +1

$119K - $157K/yr

You will work directly with scientists, sensor domain experts, and intelligence analysts ... Comfortable operating in both Windows and Linux environments, including secure or classified ...

GRVTY

Software Engineer, Senior

Herndon, VA · On-site +1

$126K - $166K/yr

You will work directly with scientists, sensor domain experts, and intelligence analysts ... Comfortable operating in both Windows and Linux environments, including secure or classified ...

GRVTY

Software Engineer, Senior

Dayton, OH · On-site +1

$119K - $157K/yr

You will work directly with scientists, sensor domain experts, and intelligence analysts ... Comfortable operating in both Windows and Linux environments, including secure or classified ...

Mantari

Head of Software

Torrance, CA · On-site +1

$141K - $189K/yr

Proven experience designing and operating large-scale, cloud-native platforms (multi-service ... Experience integrating multi-modal data (satellite, sensor, remote sensing, IoT) * Knowledge of ...

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Remote Sensor Operator information

What are some common challenges faced by Remote Sensor Operators, and how can they be effectively addressed?

Remote Sensor Operators often encounter challenges such as managing large volumes of data, interpreting sensor outputs accurately, and maintaining effective communication with field teams. Staying organized and using reliable data management tools can help handle data efficiently. Regular training on sensor technology and protocols ensures accuracy in data interpretation. Additionally, establishing clear communication channels with other team members, such as analysts and engineers, helps resolve issues quickly and ensures mission objectives are met.

What are the key skills and qualifications needed to thrive as a Remote Sensor Operator, and why are they important?

To thrive as a Remote Sensor Operator, you need strong attention to detail, spatial awareness, and a solid understanding of data analysis, often supported by military training or relevant technical certifications. Familiarity with sensor platforms, imagery analysis software, and secure communication systems is typically required. Excellent situational awareness, decision-making skills, and the ability to work under pressure are vital soft skills in this role. These competencies ensure accurate data collection and timely information relay, which are critical for mission effectiveness and safety.

What is the difference between Remote Sensor Operator vs Remote Drone Pilot?

AspectRemote Sensor OperatorRemote Drone Pilot
CredentialsFAA Part 107 certification, technical trainingFAA Part 107 certification, drone operation training
Work EnvironmentMonitoring sensors remotely, data analysisFlying drones remotely, aerial data collection
Industry UsageEnvironmental monitoring, security, infrastructureAerial photography, surveying, inspection

Both roles require FAA Part 107 certification and involve remote operation. The Remote Sensor Operator focuses on monitoring and analyzing sensor data, while the Remote Drone Pilot operates drones for aerial tasks. They share similar credentials and work environments but differ in their specific tasks and industry applications.

What are Remote Sensor Operators?

Remote Sensor Operators are professionals who operate and monitor remote sensing equipment, such as cameras, radar, or other sensors, to collect data from a distance. They often work with airborne, satellite, or ground-based systems to gather information used in fields like defense, environmental monitoring, and resource management. Their responsibilities include controlling the sensors, processing and analyzing the data, and ensuring the accuracy of the information collected. This role requires technical skills, attention to detail, and the ability to interpret complex data. Remote Sensor Operators may work in a variety of industries, including military, agriculture, and scientific research.
More about Remote Sensor Operator jobs
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What are the most commonly searched types of Sensor Operator jobs? The most popular types of Sensor Operator jobs are:
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Remote Sensor Operator jobs near you
Infographic showing various Remote Sensor Operator job openings in the United States as of July 2026, with employment types broken down into 40% Full Time, 58% Part Time, 1% Contract, and 1% Nights. Highlights an 99% Physical, and 1% Remote job distribution.

Software Engineer, Senior

GRVTY

Herndon, VA • On-site, Remote

$126K - $166K/yr

Other

Posted 19 days ago

Job description

What Impact You'll Have

GRVTY is looking for a Senior Software Engineer to join a small, technically focused team supporting national security missions at a customer site in Herndon, Virginia. This is hands-on engineering work - you will be designing and building Python-based software tools that support optical signature modeling, spectral data analysis, and machine learning-enabled sensor workflows. The work spans algorithm development, data pipeline construction, and integration of ML capabilities into operational and analytical environments.

You will work directly with scientists, sensor domain experts, and intelligence analysts - translating complex technical requirements into functional, maintainable software. This is not a role for someone looking to coast. We want someone who is technically sharp, can operate with a degree of autonomy, and understands that the software they build has real downstream impact on mission outcomes.

What You'll be Owning

  • Design, develop, and maintain Python-based software tools supporting optical signature modeling, spectral sensor data processing, and analytical workflows.
  • Work with sensor physicists, data scientists, and machine learning engineers to translate technical concepts and mission requirements into working software.
  • Build and optimize data pipelines for ingesting, processing, and analyzing large-scale scientific and sensor datasets.
  • Develop and integrate machine learning workflows - including training data preparation, model integration, and evaluation - into operational toolsets.
  • Create clear software architecture documentation, workflow diagrams, and code structure so tools can be maintained, extended, and transitioned effectively.
  • Test, validate, and troubleshoot algorithms and software modules across development and deployment environments, including classified workspaces.
  • Manage and maintain Git repositories with discipline - clean commits, meaningful documentation, and reproducible builds.
  • Contribute to a culture of technical rigor: peer reviews, coding standards, and honest engagement with complex problems.

What You Must Have

  • Active Top Secret clearance with ability to obtain SCI and CI polygraph.
  • Bachelor's degree in Computer Science, Engineering, Physics, Mathematics, Data Science, or a related STEM field. Equivalent hands-on experience will be considered.
    • 9+ years of professional software development experience, with demonstrated focus on scientific computing, algorithm development, data processing, or related technical domains or 7+ years of experience with a Masters degree
  • Expert-level Python programming, including object-oriented design, modular architecture, and production-quality code.
  • Experience developing software for data-intensive workflows - sensor data, scientific data, simulation, or equivalent.
  • Ability to work from technical or scientific requirements and produce well-structured software architecture, logic flows, and implementation plans.
  • Comfortable operating in both Windows and Linux environments, including secure or classified customer workspaces.
  • Familiarity with source control and development tooling: Git, GitLab, Bitbucket, Jira, Jenkins, or equivalent.
  • Strong communication skills - able to work directly with domain experts who are not software engineers and translate what they need into software that actually works.

What Would be Nice to Have

  • Experience with optical signature modeling, EO/IR sensor data, spectral analysis, or hyperspectral data processing.
  • Familiarity with machine learning frameworks and workflows: PyTorch, TensorFlow, scikit-learn, or equivalent.
  • Experience with scientific Python libraries: NumPy, pandas, OpenCV, SciPy, or similar.
  • 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.
  • Familiarity with ML/Ops practices - training pipelines, data labeling, model evaluation, and deployment workflows.
  • Experience integrating algorithms into existing operational software suites.
  • Proficiency in a secondary technical language: C, C++, MATLAB, Java, or Rust.
  • Advanced degree in a relevant technical field (Computer Science, Electrical Engineering, Physics, Image Science, or related).
  • Prior experience supporting defense, intelligence, or classified customer environments.
  • Experience with CI/CD practices, automated testing, and DevSecOps tooling.

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