AI Software Engineer

RELOCATION ASSISTANCE:
Relocation assistance may be available

CLEARANCE TYPE:
Top Secret

TRAVEL:
Yes, 10% of the Time

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 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!

Successful candidates will have demonstrated experience in leading AI teams to transition AIML solutions to solve customer problems. They will have a track record as an effective communicator and problem solver who is able to develop and maintain good working relationships with internal and external stakeholders. The selected candidates will work closely with other engineers to accomplish the following:

• 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.

Basic Qualifications:

• 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, Tensor Flow, 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…