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Computer Science/Engineering Intern – Computer Vision Applications

Work from home Full-time role Hiring

Job Description:

  • Apply computer vision, including convolutional neural networks (CNNs) and vision transformers (ViTs), to improve degraded imagery/video feeds during lunar landing caused by plume surface interaction effects
  • Iterate designs based on feedback from the engineering team, including GN&C, mechanical, and flight test teams
  • Produce engineering drawings and configuration-controlled CAD packages for internal design reviews
  • Develop reports, presentations, and other documentation with clear comments and guidance
  • Attend meetings, teleconferences, and workshops as needed

Requirements:

  • Progress toward an undergraduate or graduate degree in a relevant technical area, such as 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, and Julia
  • Presentation skills, including creating and clearly sharing PowerPoint presentations
  • Excellent written and verbal communication skills
  • Ability to articulate design choices to engineers and project management personnel
  • Ability to create clear assembly instructions
  • Available to work at NASA Langley Research Facility in Hampton, Virginia or remotely
  • US citizenship or permanent US residency required due to ITAR/EAR restrictions

Benefits:

  • Paid personal leave
  • Federally recognized holiday leave
  • Salary deferrals into a 401(k)-matching plan with immediate vesting
  • Tuition reimbursement
  • Short-term disability plan
  • Long-term disability plan
  • Medical insurance options
  • Dental insurance options
  • Vision insurance options
  • Professional growth opportunities
  • Engaging, collaborative, and supportive work environment

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