Computer Science/Engineering Intern - Computer Vision Applications
Indexed description
This internship begins September 8, 2026, and concludes December 18, 2026.
Pay for this position is $23.10 - $33.50, depending on education and location. Remote work is available.
Responsibilities
- The intern will apply computer vision, including convolutional neural network (CNNs) and vision transformers (ViTs), to improve degraded imagery/video feeds during lunar landing due to plume surface interaction effects
- Iterate designs based on feedback from the engineering team (GN&C, mechanical, flight test, etc.).
- Produce engineering drawings and configuration-controlled CAD packages suitable for internal design reviews.
- Develop reports, presentations, and other documentation, providing clear comments and guidance
- Attend meetings, teleconferences, and workshops as needed
- Progress toward a degree (undergraduate or graduate) in technical areas of relevance (Physics, computer science, or Engineering)
- Working knowledge and application of CNNs/ViTs to image dehazing using PyTorch.
- Working knowledge of PSI scattering physics
- Programming experience in C/C++, Python, Julia
- Presentation skills, including creating and sharing PowerPoint presentations clearly exhibiting the design requirements, layout, and plan forward.
- Excellent written and verbal communication skills are required, able to articulate design choices to a team of engineers and project management personnel and create clear assembly instructions.
- Available to work at NASA Langley Research Facility in Hampton, Virginia or remotely.
- Due to ITAR/EAR restrictions, US citizenship or permanent US residency is required.
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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