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