Principal Algorithm Engineer (EO/IR Image Analysis)
Rocket Lab Corporation1 month ago
Responsibilities
- Develop computer vision algorithms and deep neural networks for image and video processing chains.
- Collaborate with researchers and engineers on artificial intelligence, machine learning, and computer vision.
- Use physics-based image simulation frameworks to scale training and validation data.
- Design, train, and deploy machine learning models for Optical Systems applications.
- Perform rapid prototyping and enhance algorithms for integration into operational systems.
- Troubleshoot, fix bugs, and maintain existing and new systems.
- Evaluate new machine learning research, tools, frameworks, and techniques.
Requirements
- Bachelor's degree with 8+ years of experience, master's degree with 5+ years, or Ph.D. with 2+ years in physics, optical sciences, computer science, mathematics, mechanical engineering, electrical engineering, or a related technical discipline.
- Demonstrated experience in image processing or EO/IR systems.
- Strong fundamentals in mathematics and machine learning, including model selection, architecture, training, validation, testing, and deployment.
- Experience building deep learning neural networks such as CNNs for computer vision, image processing, object detection, image segmentation, or tracking.
- Strong background in linear algebra and optimization theory.
- Proficiency in Python and experience with Keras, TensorFlow, or PyTorch.
- Knowledge of software engineering fundamentals including version control, testing, CI/CD, and containerization.
- U.S. citizenship is required due to program requirements.
- Ability to obtain and maintain a U.S. Government Security Clearance.
- Preferred qualifications include proficiency in C, C++, or Rust; experience curating real-world datasets for deep learning; and TS/SCI security clearance.
Benefits
- The position is based in Tucson, Arizona.
- The role may require prolonged sitting, standing, walking, computer work, and occasional exposure to moderate noise, dust, and fumes in production areas.