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Aperture Science Jobs (NOW HIRING)

NV5

SAR Scientist

Dayton, OH

Perform non-literal exploitation of Active sensor data Synthetic Aperture RADAR data). * Combine ... STEM-related degree is required (Masters/Doctorate in Chemistry, Physics, Imagery Science ...

NV5

SAR Scientist

Dulles, VA

Perform non-literal exploitation of Active sensor data Synthetic Aperture RADAR data). * Combine ... STEM-related degree is required (Masters/Doctorate in Chemistry, Physics, Imagery Science ...

NV5

SAR Scientist

Dulles, VA · On-site

Perform non-literal exploitation of Active sensor data Synthetic Aperture RADAR data). * Combine ... STEM-related degree is required (Masters/Doctorate in Chemistry, Physics, Imagery Science ...

Axiologic Solutions LLC

AGS Scientist

Springfield, VA · On-site +1

The Chief Scientist will provide day-to-day technical management of the Nonconventional ... Experience in synthetic aperture radar (SAR) and Ground Moving Target Indicator (GMTI) processing ...

KBR, Inc.

Radar Research Engineer

Chantilly, VA · On-site

... of scientific programming languages (for example C, C++, Python, FORTRAN and MATLAB) to process synthetic aperture radar data (SAR) and Moving Target Indicator (MTI). Work independently and as a ...

KBR, Inc.

Radar Research Engineer

Chantilly, VA · On-site

Support algorithm and analytical development using a variety of scientific programming languages (for example C, C++, Python, FORTRAN and MATLAB) to process synthetic aperture radar data (SAR) and ...

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Aperture Science information

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$24.5K

$48.4K

$79K

How much do aperture science jobs pay per year?

As of Aug 6, 2026, the average yearly pay for aperture science in the United States is $48,391.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,500.00 and $52,000.00 per year, depending on experience, location, and employer.

What is Aperture Science?

Aperture Science is a fictional scientific research corporation featured in the Portal video game series developed by Valve. Known for its development of the Portal Gun and its extensive testing facilities, Aperture Science is depicted as a company focused on innovative but often dangerous experiments. The company is infamous for its eccentric founder, Cave Johnson, and the AI system GLaDOS, who oversees much of the facility's testing. Aperture Science serves as the primary setting for the Portal games, providing both the backdrop and driving force for the narrative.

Is Aperture Science a good place to work at?

Aperture Science is a fictional company from a video game series and does not exist as a real employer. Therefore, it cannot be evaluated as a workplace. For real job opportunities, research companies' reviews, work environment, and benefits through trusted sources.

What is the difference between Aperture Science vs Test Technician?

AspectAperture ScienceTest Technician
Required CredentialsHigh school diploma or equivalent; technical certificationsHigh school diploma; technical or vocational training
Work EnvironmentLaboratories, testing chambers, research facilitiesTesting labs, manufacturing plants, research sites
Industry UsageResearch and development, scientific testingProduct testing, quality assurance, experimental setups

Both Aperture Science and Test Technicians work in scientific and testing environments, often requiring technical certifications. While Aperture Science is a fictional company known for experimental research, the Test Technician role is a real-world position focused on conducting tests and ensuring product quality. The roles share similar credentials and work settings, making them comparable in the context of scientific and technical careers.

What are some typical challenges faced by engineers working at Aperture Science, and how do teams usually address them?

Engineers at Aperture Science often encounter complex, rapidly evolving projects that require creative problem-solving and adaptability. Working with cutting-edge technology in a multidisciplinary team, they must communicate effectively with colleagues from research, development, and testing to ensure innovative solutions are both safe and functional. To address these challenges, teams hold frequent cross-functional meetings, leverage collaborative tools, and invest in ongoing learning to keep up with emerging technologies and best practices.

What are the key skills and qualifications needed to thrive as an Aperture Science employee?

Aperture Science is not a real-world professional occupation, so it does not have established core skills, qualifications, or industry requirements. Therefore, it is not possible to provide an accurate or helpful answer based on real-world employment standards.
More about Aperture Science jobs
What are the most commonly searched types of Aperture Science jobs? The most popular types of Aperture Science jobs are:
What states have the most Aperture Science jobs? States with the most job openings for Aperture Science jobs include:
What job categories do people searching Aperture Science jobs look for? The top searched job categories for Aperture Science jobs are:
Aperture Science jobs near you
Infographic showing various Aperture Science job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 72% Full Time, 23% Part Time, and 3% Contract. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution, with an average salary of $48,391 per year, or $23.3 per hour.

SAR Data Scientist Specialist / Imagery Scientist 09

Select Search Associates LLC

Arlington, VA • On-site

Full-time

Posted 16 days ago

Job description


Overview
We are seeking an experienced SAR Data Scientist Specialist / Imagery Scientist to join a high-performing team supporting advanced AI and machine learning initiatives for complex national security and intelligence missions.
This program focuses on evaluating AI models against Government datasets to assess their performance, resilience, and robustness across a broad range of adversarial scenarios. The effort also includes testing and validating autonomous algorithms designed to support operational decision-making in dynamic mission environments.
As a SAR Exploitation Specialist / Imagery Scientist, you will apply your expertise in Synthetic Aperture Radar (SAR) imagery and multi-INT analysis to support the curation, exploitation, and preparation of imagery datasets for machine learning model development, testing, and evaluation. You will work closely with engineers, data scientists, and mission analysts to ensure imagery products are representative, mission-relevant, and optimized for AI/ML applications.
Required Qualifications
  • Active TS/SCI clearance with eligibility for CI Polygraph (we can sponsor your CI poly if you don't already have one)
  • Experience exploiting Synthetic Aperture Radar (SAR) imagery and SAR analytical products in support of intelligence or geospatial missions.
  • Experience conducting multi-INT analysis and integrating information from multiple intelligence disciplines to support mission objectives.
  • Proficiency working with structured, semi-structured, and unstructured datasets using programming, scripting, and visualization tools.
  • Strong geospatial analysis skills and the ability to apply emerging technologies, analytical methodologies, and data-driven techniques to solve complex intelligence challenges.
Preferred Qualifications
  • Experience developing or applying machine learning (ML) and computer vision (CV) techniques to overhead imagery, motion imagery, or geospatial datasets.
  • Familiarity with AI/ML workflows supporting imagery exploitation, object detection, and model evaluation.
Key Responsibilities
  • Leverage multi-INT data, with an emphasis on Synthetic Aperture Radar (SAR), to identify, curate, and prepare imagery collected from emerging sensor platforms for AI/ML model development, testing, evaluation, and accreditation.
  • Curate imagery that aligns with Government priorities by selecting datasets containing required objects of interest, geographic coverage, scene characteristics, and operationally relevant conditions.
  • Evaluate the capabilities and limitations of emerging sensor technologies and recommend data curation strategies that maximize dataset quality and mission value.
  • Identify data gaps and recommend additional collections or complementary data sources to improve dataset completeness and support model testing and evaluation.
  • Collaborate with cross-functional teams to ensure curated imagery meets quality standards and is optimized for machine learning and advanced analytics.