Computer Science/Engineering Intern - Computer Vision Applications

 Posted an hour ago
     
 $23.1 - $33.5 per hour
  
0-2 years experience
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AI Summary

The intern will apply computer vision techniques like CNNs and vision transformers to improve imagery feeds affected by lunar landing plume surface interactions. They will also iterate on engineering designs, produce CAD packages, and develop technical documentation for internal reviews.

Job Description:

AMA is currently accepting applications for a Computer Science/Engineering intern to support work in our Hampton, VA location. The qualified candidate will work to apply the latest advancements in 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 (PSI) effects.

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
     

Requirements:

  • 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.

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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