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Director Remote Sensing Jobs in Washington (NOW HIRING)

HawkEye 360

Director, Commercial Strategy

Herndon, VA · On-site +1

Familiarity with commercial remote sensing or mission software business models. * Exposure to B2B or B2G pricing, packaging, or monetization principles. * Familiarity with competitive intelligence or ...

New

HawkEye 360

Account Executive, Space Force

Herndon, VA · Remote

Direct experience in technology solutions for DoD combatant commands, Services, or agencies. * Experience in remote sensing, SIGINT, ELINT, GIS, and GEOINT solutions. * Ability to navigate Defense ...

Scout Space

Technical Program Manager

Reston, VA · On-site +1

$134K - $173K/yr

In addition, the TPM will support the Chief Product Officer and Director of Programs in ... SDA), remote sensing, or optical payload systems * Familiarity with flight software, autonomy, or ...

Scout Space

Technical Program Manager

Reston, VA · On-site +1

$134K - $173K/yr

In addition, the TPM will support the Chief Product Officer and Director of Programs in ... SDA), remote sensing, or optical payload systems * Familiarity with flight software, autonomy, or ...

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Director Remote Sensing information

What is a director of remote sensing?

A Director of Remote Sensing is a senior professional responsible for overseeing the planning, implementation, and management of remote sensing projects and teams. They lead initiatives involving satellite imagery, aerial photography, and other sensor-based data collection to support organizational objectives in areas like environmental monitoring, agriculture, defense, and more. Their duties typically include strategic planning, technology evaluation, project management, and collaboration with stakeholders to ensure the effective use of remote sensing data.

How does a director of remote sensing typically collaborate with cross-functional teams to achieve project objectives?

A Director of Remote Sensing often works closely with interdisciplinary teams, including data scientists, GIS specialists, engineers, and project managers, to deliver accurate geospatial insights and solutions. They facilitate communication between technical staff and non-technical stakeholders, ensuring project goals align with organizational strategy. Regular meetings, clear documentation, and active problem-solving are key aspects of their collaborative process. This leadership role requires balancing oversight of technical workflows with fostering innovation and ensuring quality standards across projects.

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

To thrive as a Director of Remote Sensing, you need expertise in geospatial sciences, image analysis, and project management, typically supported by an advanced degree in remote sensing, geography, or a related field. Familiarity with GIS software, remote sensing platforms, satellite data processing tools, and relevant certifications (such as GISP or ASPRS) is often required. Strong leadership, strategic planning, and communication skills help drive multidisciplinary teams and stakeholder engagement. These competencies ensure effective data-driven decision-making and the successful delivery of complex remote sensing projects.

What are the most commonly searched types of Remote Sensing jobs in Washington?

The most popular types of Remote Sensing jobs in Washington are:

What are popular job titles related to Director Remote Sensing jobs in Washington?

For Director Remote Sensing jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Director Remote Sensing jobs in Washington look for?

The top searched job categories for Director Remote Sensing jobs in Washington are:

What cities in Washington are hiring for Director Remote Sensing jobs?

Cities in Washington with the most Director Remote Sensing job openings:

Director Remote Sensing jobs near you
Infographic showing various Director Remote Sensing job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, 1% Temporary, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

LEAD SAR DATA/IMAGERY SCIENTIST (TS/SCI Clearance required)

NorthHill Technology

Falls Church, VA • On-site, Remote

Full-time

Re-posted 8 days ago

Job description

NorthHill Technology Resources has a need for a Lead SAR Data Scientist/Imagery Scientist to join a Federal Program in Falls Church, VA.  This is a direct-hire opportunity with our client, a highly respected Federal Integrator.  A current TS/SCI Clearance is required. 

We are seeking an experienced Lead SAR Data Scientist / Imagery Scientist to join a high-performing team developing advanced solutions for complex national security and intelligence challenges.

This program focuses on evaluating artificial intelligence and machine learning models against existing government datasets to assess robustness across a wide range of adversarial scenarios. The team will also support the development and evaluation of automated algorithms capable of making operational decisions in dynamic environments.

As the Lead SAR Exploitation / Imagery Scientist, you will serve as the subject matter expert (SME) for Synthetic Aperture Radar (SAR) imagery. You will provide technical leadership in the acquisition, preparation, processing, and exploitation of SAR data, ensuring imagery meets Government quality standards and mission requirements. You will also develop solutions that account for the unique phenomenology, capabilities, and limitations of SAR sensors and collection platforms.

Required Qualifications
  • Active TS/SCI clearance with eligibility for CI Polygraph (we can sponsor your CI poly if you don't already have one)
  • 6+ years of experience as a SAR exploitation or imagery expert with a strong understanding of:
    • SAR collection principles
    • Radar phenomenology
    • Image formation processes
    • SAR exploitation products
  • Experience using SARPy and the MATLAB SAR Toolbox
  • Knowledge of SAR image quality assessment, including:
    • RNIIRS
    • Information-theoretic image quality metrics
    • Integrated Sidelobe Ratio (ISLR)
    • Multiplicative Noise Ratio (MNR)
  • Experience interpreting sensor metadata and understanding how collection geometry (e.g., graze angle, squint angle, azimuth) impacts SAR phenomenology
  • Demonstrated experience exploiting SAR imagery to detect, identify, and geolocate objects of interest
  • Experience developing, testing, and evaluating SAR processing algorithms, methodologies, and analytical products
  • Proficiency with advanced data processing and scientific computing tools such as Python, MATLAB, and Google Earth Engine
  • Strong understanding of remote sensing principles, imagery processing, and advanced exploitation techniques
  • Excellent written and verbal communication skills with the ability to present technical concepts to both technical and non-technical stakeholders
Preferred Qualifications
  • Experience applying computer vision (CV), machine learning (ML), or deep learning techniques to SAR imagery for intelligence, defense, or remote sensing applications
  • Experience supporting AI/ML model development, validation, or operational testing using SAR datasets
Key Responsibilities
  • Evaluate emerging SAR sensor capabilities and compare performance against currently fielded collection platforms.
  • Assess the impact of new sensor data on existing data architectures, including metadata, file formats, schemas, APIs, and ETL processes required for integration into operational data pipelines.
  • Determine data acquisition strategies, expected collection latency, available data formats, and applicable security domains for new sensor sources.
  • Design and implement preprocessing workflows to standardize imagery for labeling, analysis, and AI/ML model evaluation, including format conversion, image tiling, and geospatial normalization.
  • Identify capability gaps associated with emerging sensors and recommend complementary data sources when appropriate.
  • Assess opportunities for multi-source and coincident collections by identifying complementary imagery from additional platforms (e.g., EO/IR) with comparable geographic and temporal coverage.
  • Provide technical leadership on SAR phenomenology, exploitation methodologies, and sensor performance to support Government mission objectives.
  • Collaborate with data scientists, AI/ML engineers, and mission analysts to ensure SAR data is optimized for advanced analytics and model development.