
Principal Algorithm Engineer (EO/IR Image Analysis)
Rocket Lab Corporation1 month ago
Responsibilities
- Develop, validate, optimize, test, and deploy EO/IR image-processing and pattern-recognition algorithms.
- Implement noise reduction, image enhancement, image registration, correction, feature extraction, object detection, classification, and tracking techniques.
- Build and enhance modeling and simulation libraries and image simulators for synthetic EO/IR data generation.
- Support operational programs by maintaining deployed algorithms, troubleshooting fielded systems, and improving system performance and reliability.
- Analyze large EO/IR datasets and develop software tools for data collection, analysis, and performance assessment.
- Translate customer requirements into algorithm and subsystem requirements for software and systems engineering execution.
- Document and present algorithm performance results to technical and non-technical stakeholders, including government customers.
- Attend technical interchange meetings, provide task and schedule status, and support travel or off-site work as needed.
Requirements
- Bachelor's degree in physics, optical sciences, computer science, mathematics, electrical engineering, or a related technical discipline with demonstrated image-processing or EO/IR experience.
- Active U.S. Government Security Clearance with TS/SCI eligibility.
- At least 12 years of professional experience.
- Demonstrated experience with MATLAB, Python, and/or C/C++ for analysis, modeling, simulation, or algorithm development.
- Strong experience designing, implementing, testing, and optimizing EO/IR sensor algorithms focused on image processing and pattern recognition.
- Strong written and verbal communication skills and the ability to present technical results to diverse audiences.
- Ability to contribute to program completion and project milestones.
- Preferred qualifications include a master's degree or PhD, EO/IR pattern-recognition experience, sensor calibration experience, modeling and simulation expertise, full product-development lifecycle experience, and technical or functional leadership experience.
Tech Stack
Categories
Data Science