Associate AI Software Engineer/ AI Software Engineer
Northrop Grumman
- Location
- Onsite (Beavercreek, OH,US)
- Compensation
- $83k - $151k/yr
- Employment
- Full-time
- Level
- Entry Level
About the role
Northrop Grumman's AI Center of Excellence in Beavercreek, Ohio, is seeking an AI Software Engineer to design and deploy machine learning models for complex prediction and optimization problems. The role supports R&D in areas like LLMs, computer vision, and sensor fusion to impact national security and defense systems.
Skills
Benefits
- Health insurance
- Life insurance
- Disability insurance
- Savings plan
- Paid time off
- Paid holidays
Perks
- Relocation assistance
Full job details
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 Northrop Grumman C2 & Weapons Integration (CWI) Artificial Intelligence (AI) Center of Excellence in Beavercreek, Ohio is seeking an AI Software Engineer. This role supports research and development in areas including Large Language Models (LLMs), natural language processing (NLP), natural language understanding (NLU), natural language generation (NLG), AI‑based decision-making, sensor fusion, data fusion, computer vision, and image processing, with a focus on responsible and explainable AI.
Key Responsibilities
Define, develop, and deliver mathematical and statistical models and algorithms to address prediction, optimization, and classification problems.
Apply machine learning algorithms to large structured and unstructured datasets for use cases such as autonomy, pattern recognition, target detection and tracking, recommendation and decision support systems, signals processing, and robotic systems.
Design, develop, document, test, debug, and deploy AI/ML applications.
Collaborate with cross‑functional teams to deploy AI/ML solutions in development and production environments.
Prepare and present technical progress and results to internal and external stakeholders.
This position description does not represent a current opening but may be used to identify candidates with skills and experience for positions within Northrop Grumman that frequently become available. Candidates who express an interest may be considered for future positions at Northrop Grumman.
Basic Qualifications
Associate AI Software Engineer (Level 1): Bachelor’s degree in Computer Science or a related STEM field with 0 years of relevant experience; an additional 4 years of relevant experience may be considered in lieu of a degree.
AI Software Engineer (Level 2): Bachelor’s degree in Computer Science or a related STEM field with 2 years of relevant experience, or master’s degree in Computer Science or a related STEM field with 0 years of relevant experience; an additional 4 years of relevant experience may be considered in lieu of a degree.
Experience implementing AI/ML models or algorithms (e.g., deep learning, transformer models, or LLMs).
Experience with at least one major AI/ML framework, such as PyTorch, TensorFlow, Keras, or Scikit‑learn.
Experience working with data for ML, including data preparation, training, and model evaluation.
Software development experience in Python or a similar language, including use of source control.
Experience building or integrating AI/ML functionality into applications or services
Must have an active Secret clearance with the ability to obtain a TS/SCI security clearance with CI Poly
Preferred Qualifications
Active TS/SCI clearance with CI Poly
Experience with AWS or other commercial cloud computing platforms.
Experience with microservice architectures and related practices, including containerization and container orchestration technologies.
Familiarity with explainable AI, adversarial AI, active learning, and third‑wave AI approaches.
Familiarity with DevOps, DevSecOps, and/or MLOps concepts and workflows.
Familiarity with Linux-based operating systems.
Experience working independently to plan and execute technical tasks.
Hands-on experience with LLMs (e.g., prompt design/engineering, use of LLM development frameworks, fine‑tuning, or model quantization).
Experience with modeling and simulation.
Experience using vector databases and/or graph databases.