Sierra Space is looking to develop and enhance RPO (Rendezvous and Proximity Operations) capabilities and solutions for satellites, and the Computer Vision Engineer II role is crucial for this mission.
Requirements
- Strong understanding of at least one programming language, and general knowledge of others.
- Strong understanding of software development principles.
- Ability to design, code, test, and debug complex software applications.
- Experience with different software development methodologies such as Agile and Scrum/Kanban.
- Extensive experience with computer vision libraries and frameworks such as OpenCV, TensorFlow, or PyTorch.
- In-depth knowledge of machine learning algorithms and techniques.
- Experience with cloud platforms and services for deploying and scaling computer vision applications.
Responsibilities
- Develop, implement, and optimize advanced computer vision algorithms and models to process and analyze visual data from visible and infrared imagery.
- Lead the integration of computer vision solutions into satellite systems, working closely with cross-functional teams.
- Conduct comprehensive testing and validation of computer vision systems to ensure high performance, accuracy, and reliability.
- Design and develop sophisticated AI software and hardware for satellite applications, ensuring scalability and robustness.
- Maintain, improve, and refactor existing computer vision systems and algorithms to enhance performance and functionality.
- Document code, processes, and methodologies comprehensively for future reference and team collaboration.
- Mentor and guide junior engineers, providing technical support and knowledge sharing.
Other
- Requires a bachelor’s degree in a related field (or equivalent work experience in lieu of degree).
- Typically, 2+ years of related experience.
- Ability to work independently and in a team.
- Ability to write and maintain technical documentation.
- The ability to obtain and maintain a Top-Secret U.S. Security Clearance is required.
