TO CONFORM TO US GOVERNMENT SPACE TECHNOLOGY EXPORT REGULATIONS, APPLICANTS MUST BE A US CITIZEN, LAWFUL PERMANENT RESIDENT OF THE US, PROTECTED INDIVIDUAL AS DEFINED BY 8 USC 1324B(A)(3), OR ELIGIBLE TO OBTAIN THE REQUIRED AUTHORIZATION FROM THE US DEPARTMENT OF STATE. SCOUT is building a new way to see and operate in space, with a new paradigm for space situational awareness, empowering every satellite to do its part in making space safer. We began successful deployment of space-based situational awareness capabilities with just our original team of 2, but we need your help to extend our reach.

We are looking for up to two (2) Computer Vision Engineer(s) to support development of core technologies which will lead to a new approach to space safety. This is a role involving not only computer vision but also machine learning pipeline integration into varied control system architectures. This position will support the SCOUT R&D team and have a fundamental role in developing industry-leading spacecraft vision capabilities.

We'd appreciate you thinking about and addressing a few questions for us:

• What makes you interested in SCOUT?
• What makes you excited about spaceflight, or passionate about space? How have you engaged with that passion?
• What do you bring to the table that is unique? Some potential avenues to explore:
• What values or interests underlie your approaches to life and work? How have these values driven your acquisition of skillsets?
• Do you have a multidisciplinary track record? How does this strengthen your qualifications?
• Do you have a pattern of pushing the boundaries and defying conventions? How has that worked out for you? Why do you think that is?

We are a diverse team which dynamically builds frameworks for tackling open-ended problems, and our team doesn't limit itself to any single mode of problem-solving. We value open-mindedness and transparency, cultivating what we call a Culture of Challenge.

RESPONSIBILITIES:

• Lead continued development of models and experimental methods used in computer vision efforts of SCOUT, focusing on autonomous satellite sensing and differentiation methods
• Interface with technical team to support development of computer vision-aided maneuver and control methodology, including trade studies and decision-making for uses of stereoscopic, 3D sensor inputs
• Manage computer vision datastream and the downstream verification and command architecture using modern programming, modelling, and simulation tools (e.g. Matlab, C/C++, Python, OpenGL/OpenCV, CNN processes like YOLOV3/V4), processing algorithms, and virtual systems development
• Optimize solutions for computer vision, AI, and detail extraction pipeline for on-board and edge computing using space heritage hardware
• Support on R&D proposals, for both internal and external purposes, to document and realize SCOUT's evolving vision for computer vision applications
• QUALIFICATIONS:
  • 5+ years of experience and/or graduate degree focused on autonomous systems, remote sensing, computer vision, machine learning, and/or image processing
  • Ability to work effectively within a loosely-structured, dynamic, fast-paced start-up environment
  • Expertise in autonomous systems, including computer vision, systems design, test, evaluation, and analysis, including algorithms and software architecture
  • M.S. or PhD in Software Engineering, Computer Science, Aerospace Engineering, or related discipline preferred
  • Experience with space systems preferred
  • Experience with deep learning, including object detection, semantic segmentation, and image classification, highly preferred

Our positions are based in the Alexandria, Virginia area, although we are predominantly remote until our new facilities are established. Longer-term remote work can be negotiated.

SCOUT Inc. does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.