7 часов назад
Senior Software Engineer I (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer I (AI): Building deep learning neural networks and advanced computer vision algorithms for electro-optical and infrared space-based sensing systems with an accent on rapid prototyping, model validation, and operational deployment. Focus on designing, tuning, testing, and maintaining neural networks for real-world defense and intelligence applications.
Location: Tucson, Arizona, United States; based at an Optical Systems site
U.S. Government security clearance eligibility and ITAR authorization are required for U.S. office candidates. Candidates must be U.S. citizens, lawful permanent residents, refugees, asylees, or eligible to obtain the required export authorizations.
Company
is an end-to-end space company developing rockets, spacecraft, flight software, payloads, and critical space subsystems.
What you will do
- Collaborate with researchers on artificial intelligence, machine learning, and computer vision.
- Rapidly prototype and enhance software for integration into operational systems.
- Develop software solutions for real-world electro-optical and infrared sensing problems.
- Validate, tune, test, and deploy neural networks and machine learning algorithms.
- Troubleshoot, fix bugs, and maintain existing and new code for system stability.
- Support travel or off-site work as needed.
Requirements
- Bachelor’s degree in physics, astronomy, mathematics, computer science, electrical engineering, mechanical engineering, or an equivalent discipline, plus 5+ years of experience.
- Experience building deep learning neural networks for computer vision, image processing, or video analysis.
- Ability to obtain and maintain a U.S. Government security clearance.
- Eligibility to work on U.S. Government and ITAR-regulated technology in the United States.
Nice to have
- Proficiency in C++ or Python.
- Experience with PyTorch and TensorFlow.
- Experience across the deep learning lifecycle, including model selection, training, validation, testing, and deployment.
- Knowledge of object detection, image segmentation, re-identification, tracking, super resolution, and 3-D machine learning.
- Experience curating real-world datasets for deep learning model training.
Culture & Benefits
- Work on space, defense, and intelligence missions involving spacecraft, payloads, and advanced sensing systems.
- Collaborative, hands-on environment focused on teamwork, innovation, and delivering under tight deadlines.
- Role may involve prolonged sitting, standing, walking, computer work, and occasional exposure to moderate noise, dust, and fumes in production areas.
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