Staff AI Software Engineer

Northrop Grumman • Beavercreek, OH

121d • $188,100 - $282,100

About The Position

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 and Weapons Integration (CWI) Artificial Intelligence (AI) Center of Excellence in Beavercreek, Ohio is seeking a highly motivated Staff AI Software Engineer to join our team. We have a state-of-the-art research facility where our team works on some of the most challenging problems related to AI and Machine Learning. Research areas include advanced AI-based natural language techniques include LLMs, AI-based decision-making, sensor fusion, and other emerging AI technologies. We are on the cutting edge of responsible AI and explainable AI adoption. We invite you to apply to this requisition so you can come in and learn about the exciting research we do and tell us about how you can help our team!

Requirements

• Experience with the application of Large Languages models and/or Agentic AI to solve novel AIML problems.
• 12+ years with Bachelor's degree in Computer Science or related STEM degree from an accredited institution; 10 years with Master's degree; 8 Years with PhD.
• 10+ years of experience working with DoD customers.
• Experience developing systems with AI/ML frameworks and libraries such as PyTorch, TensorFlow, Keras, and Scikit-learn.
• Development experience should span the ML pipeline and include: working with novel datasets, training and fine-tuning ML systems, modifying existing deep learning architectures as well as coding from architecture diagrams, and evaluating system performance using established and novel metrics and methods.
• Demonstrated ability to carry out rapid prototyping and proof-of-concept demonstrations.
• Possess general familiarity with applied machine learning concepts including: multilayer perceptrons, CNNs, LSTMs, transformer models, unsupervised learning methods, reinforcement learning methods, as well as statistical modeling methods and graphical models.
• Possess general familiarity with computational and statistical learning theory.
• Experience with engineering AI/ML solutions from conceptual specification to pipeline implementation.
• Demonstrated ability to lead and mentor multiple teams of junior engineers to build AI/ML solutions to meet specs.
• Ability to effectively communicate system properties and results to technical staff as well as non-technical management and leadership stakeholders.
• Able to obtain a U.S. Government Top Secret security clearance (U.S. citizenship is a pre-requisite).
• Experience with AWS or other cloud computing services.
• Experience with microservice architectures and related software methods including containerization and container orchestration.
• Familiarity with DevOps and DevSecOps and/or MLOps concepts.
• Experience mapping from novel problem spaces to the AI domain.
• Demonstrated capability for applying AI methods to generate real-world solutions.
• Experience working in Agile software development environment.

Nice To Haves

• 5+ years of experience working the DoD S&T community.
• Experience with leading teams and actively participating in the development of winning white papers and proposals for DoD customers.
• Experience with web application development frameworks such as Flask, FastAPI.
• Familiarity with explainable AI, adversarial AI.
• Familiarity with NIST AI Risk Framework, ethical and Responsible AI Principles.
• Familiarity with signal processing, information theory, topological data analysis, and/or genetic algorithms.

Responsibilities

• Work with customers to define, develop, and deliver AI solutions to meet mission needs.
• Support novel mathematical and statistical modeling and algorithm development to tackle the challenges of prediction, optimization, and classification.
• 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, decision support systems, and robotic systems.
• Prototype advanced artificial intelligence techniques to stretch the capability of autonomous systems research and development programs.
• Design, develop, document, test and debug applications software and systems that contain logical and mathematical solutions.
• Collaborate with cross-functional teams to deploy machine learning algorithms for testing and is in production systems.
• Maintain understanding of the cutting-edge technologies in AIML.
• Regularly demonstrate progress to customers.

Benefits

• Health insurance coverage
• Life and disability insurance
• Savings plan
• Company paid holidays
• Paid time off (PTO) for vacation and/or personal business

What This Job Offers

• Industry: Transportation Equipment Manufacturing
• Education Level: Bachelor's degree