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Computer Science Nasa Jobs in Virginia (NOW HIRING)

BWXT

Data Scientist, Computer Vision

Lynchburg, VA · On-site

Department of Energy and NASA facilities. BWXT's technology is driving advances in medical ... A bachelor's degree in computer science, electrical engineering, physics, or related field is ...

Relative Dynamics

Software Assurance

Wallops Island, VA · On-site

The NASA Safety and Mission Assurance Services III (SMAS III) contract supports the Safety and ... Bachelor's degree in Computer Science, Software Engineering, Systems Engineering, or a related STEM ...

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How much do computer science nasa jobs pay per year?

As of Aug 6, 2026, the average yearly pay for computer science nasa in Virginia is $82,396.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,800.00 and $92,700.00 per year, depending on experience, location, and employer.

What types of projects do computer science professionals typically work on at NASA?

Computer Science professionals at NASA contribute to a wide array of projects, including the development of flight control software, satellite data analysis, artificial intelligence for spacecraft autonomy, and cybersecurity for mission-critical systems. Your work may involve collaborating with engineers, scientists, and astronauts to build robust, efficient solutions for real-time space operations or data-heavy scientific research. Projects can range from developing algorithms for Mars rover navigation to designing cloud-based infrastructure for Earth science data. These roles offer the opportunity to tackle unique technical challenges and often involve continual learning as you adapt to the evolving needs of space exploration missions.

What is a computer science job at NASA?

A Computer Science job at NASA involves developing software, algorithms, and data systems that support space exploration, robotics, artificial intelligence, and scientific research. Computer scientists at NASA work on projects like spacecraft autonomy, satellite imaging, cybersecurity, and big data analysis. They collaborate with engineers, scientists, and astronauts to solve complex computational problems that enable missions. These roles require strong programming skills, knowledge of machine learning, and expertise in areas like high-performance computing or simulations.

What are the key skills and qualifications needed to thrive in the computer science NASA position, and why are they important?

To thrive in a Computer Science position at NASA, you need a solid background in computer science, mathematics, and engineering, supported by at least a bachelor's degree in a related field. Familiarity with programming languages such as Python, C++, and MATLAB, as well as experience using high-performance computing systems, is essential, and security clearances or specialized certifications may also be required. Strong problem-solving abilities, teamwork, and clear communication are important soft skills for collaborating with interdisciplinary teams and managing complex projects. These skills and qualifications are critical for contributing to innovative research, ensuring mission success, and advancing cutting-edge technology at NASA.

What are the most commonly searched types of Computer Science Nasa jobs in Virginia? The most popular types of Computer Science Nasa jobs in Virginia are:
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Computer Science Nasa jobs near you
Infographic showing various Computer Science Nasa job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution, with an average salary of $82,396 per year, or $39.6 per hour.

Research Computer Scientist - Artificial Intelligence Machine Learning

Analytical Mechanics Associates

Hampton, VA • On-site

$100K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 8 days ago

Job description

Job Description:
In support of NASA Langley Research Center's Aeronautics Systems Engineering Branch, AMA is seeking highly skilled candidates in the field of Artificial Intelligence / Machine Learning. Specifically, AMA is seeking candidates to support work within the uncrewed aircraft systems domain developing machine learning algorithms and tools based on the use of vision and/or radar sensors for airspace surveillance, onboard sense and avoid, and perception of hazards for autonomous navigation. The selected candidate will work with NASA and regulatory authorities on the overall advancement of machine learning with the aviation industry and increase NASA's presence in the field. This position will be located on site at NASA LaRC.
Responsibilities:
  • Develop algorithms to detect, track, and classify uncrewed aircraft systems (multirotor, fixed wing, or VTOL), birds, general aviation vehicles, and commercial aviation vehicles
  • Integrate ground-based surveillance systems with airborne sensing suites by sharing data on an IoT platform
  • Conduct literature reviews to understand state of the art for machine learning, identifying gaps for aviation
  • Leverage previously collected NASA data along with future NASA and external data to evaluate machine learning techniques
  • Develop sensor fusion techniques for multiple sensor types using machine learning and traditional fusing techniques
  • Evaluate machine learning methodology using traditional machine learning metrics along with proposed aviation metrics by the Radio Technical Commission for Aeronautics (RTCA).
  • Assist in the design and execution of experiments at NASA Langley Research Center and Armstrong Flight Research Center
  • Assist in the development of machine learning challenges such as those for the Computer Vision Pattern Recognition Conference
  • Document research results for conference presentation and publication

Qualifications
  • MS or PhD in Computer Science or related computational field with concentrations in artificial intelligence and machine learning
  • Demonstrated experience in machine learning through published research papers
  • Expertise in machine learning, computer vision, sensor-based data acquisition
  • Application of machine learning with the aviation domain highly desired
  • Understanding of uncrewed aircraft systems operations highly desired
  • Must work well in highly collaborative dynamic environments with diverse team
  • Strong communications skills, written and verbal

Salary range: $100k-$150k
US citizenship or Permanent Residency is required
Analytical Mechanics Associates (AMA) is proud of our customer relationships, our diverse and dynamic work environment, and our employees' career satisfaction. AMA is a small business with a wide reach; headquartered in Hampton, VA, AMA has operations in Greenbelt, MD; Huntsville, AL; Dallas and Houston, TX; Denver, CO; Mountain View, CA; and Edwards Air Force Base, CA. With over 60 years of experience, AMA specializes in aerospace engineering, science, analytics, information technology, and visualization solutions. AMA combines the best of engineering, science, and mathematics capabilities with the latest in information technologies, visualization, and multimedia to build creative solutions. We offer competitive salaries and a substantial benefits package, including but not limited to paid personal and federally recognized holiday leave, salary deferrals into a 401(k)-matching plan with immediate vesting, tuition reimbursement, short/long term disability plans, and a variety of medical, dental, and vision insurance options.
AMA is committed to the professional growth of every employee, understanding that the successes of our employees drive our success. We provide a work environment that is engaging, collaborative, and supportive. To learn more about our company, please visit our website at www.ama-inc.com/careers and follow us on Facebook and LinkedIn.
AMA is an Equal Opportunity Employer and does not discriminate against any applicant for employment or employee because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic prohibited under federal, state, or local laws.

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