United States-Colorado-Aurora, United States
$108-200k
Full Time
a few seconds ago
Job description
Description
At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work — and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.The Payload and Ground Systems organization within the Northrop Grumman Space Systems pushes the boundaries of innovation, redefines engineering capabilities, and drives advances in various sciences. Our team is chartered with providing the skills, innovative technologies to develop, design, produce and sustain optimized product lines across the sector while providing a decisive advantage to the warfighter. Come be a part of our mission.
For this role, responsibilities include but are not limited to: Define, develop, and deliver novel AI/ML solutions related to signal processing, satellite technologies, and other domain areas. Apply machine learning algorithms to large sets of structured and unstructured data to solve a broad range of problems that include applications in pattern recognition, target detection and tracking, machine learning and decision systems, and robotic systems. Prototypes advanced artificial intelligence techniques to stretch the capability of autonomous systems research and development programs. Design, develop, document, test, and debugs software and system applications that contain logical and mathematical solutions. Ensure industry best practices and standards are applied and maintained. . May use system-of-systems and multi-agent approaches to architect and design AI software systems. Work closely with system engineers to understand program intent, system capabilities, and
output requirements. May design software-systems, applications, and data architectures that directly implement AI techniques to support achieving better reliability, precision, accuracy, and speed to meet performance requirements.
Basic Qualifications:
- Level 2: Bachelor's degree with 2+ years of relative experience; Masters degree with 0+ years of relative experience.
- Level 3: Bachelor's degree with 5+ years of relative experience; Masters degree with 3+ years of relative experience; PHD with 0+ year of relative experience.
- STEM degree in artificial intelligence, computer engineering, computer science, electrical engineering, mathematics, modeling and simulation, operations research, physics, statistics, or systems engineering.
- Ability to obtain and maintain a TS/SCI clearance once you start work. Experience with PyTorch, Keras, R, or Tensorflow.
- Experience working in Python.
- Effective communication and interpersonal skills, with the ability to collaborate effectively with diverse stakeholders.
- Familiarity with AI technologies, frameworks, and methodologies.
- Experience with Git-based software management tools.
Preferred Qualifications:
- Active TS/SCI clearance.
- Experience working in C/C++, Java, and MATLAB.
- Experience with Git-based software management tools.
- Experience in algorithmic application development and optimization.
- Knowledge of signal processing and ground satellite systems.
- Experience with open software/system architecture solutions.
- Experience with Linux operating systems.
- Experience with microservice containerization.
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