
Astronomy Computer Vision Engineer (Remote)
- Glide, OR
- $120,000-200,000 per year
- Permanent
- Full-time
Requisition ID: TA176
Location: Remote
Application Deadline: We are accepting applications on an ongoing basisWho We Are
Trusted Space builds solutions both on the ground and in space. Our solutions provide advanced capabilities supporting missions vital to our Nation’s defense, intelligence, and science sectors. Our diverse talented staff of scientists, engineers, and business professionals support critical missions including Space Domain Awareness, Battlespace Awareness & Decision Support, Space Exploration & Science, and the establishment of core Space Infrastructure.Our Culture
As a customer-focused service provider, Trusted Space values it’s employees and clients. We live by our values; central to this principle is the concept to treat others as you would like other to treat you. We offer a collaborative and supportive work environment, world class benefits, and work-life balance. We encourage life-long learning and continuous improvement in all that we do. Each day, we seek to be better than the previous day, embracing our journey to Excellence. We consider it a privilege to work with our customers on their greatest challenges.Job Description
Trusted Space is seeking an Astronomy Computer Vision Engineer with a Bachelor’s degree or higher with 4+ years of experience to help build the next generation of battlespace awareness capabilities. You will work alongside a small dynamic team of aerospace and software engineers.
Key responsibilities will include:
- Designing and implementing algorithms for tasks like image segmentation, object tracking, and anomaly detection in astronomical images and data
- Processing, analyzing, and labeling large datasets from telescopes and other astronomical instruments
- Generating realistic simulated data for model training
- Bachelor’s degree in Imaging Science, Astrophysics, Aerospace Engineering or related field
- 4+ years of experience in Astronomy Computer Vision
- Strong Proficiency in Python, C++, or other relevant languages
- Experience with ML frameworks like PyTorch, TensorFlow, and scikit-learn
- Experience building and designing novel multi-task neural network architectures
- Experience with data analysis tools and techniques to convey complex results
- Strong foundation in mathematics, statistics, and linear algebra
- Ability to identify and solve complex problems related to astronomical data analysis
- Ability to effectively communicate technical information to both technical and non-technical audiences
- 6+ years of experience
- Master’s or PhD degree in Imaging Science, Astrophysics, or Aerospace Engineering
- Experience developing image processing for spacecraft, missile, aircraft, hypersonic glide vehicle, and/or drone detection
- Experience with modern ML training libraries such as MLflow, and RayTune
- Experience with modern offline data labeling techniques
- Active TS/SCI clearance or eligibility to obtain one