Principal AI Software Engineer (AHT) at Northrop Grumman

, , United States -

Full Time

Start Date

Immediate

Expiry Date

07 Mar, 26

Salary

182000.0

Posted On

07 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Artificial Intelligence, Machine Learning, Natural Language Processing, Data Fusion, Computer Vision, Deep Learning, Statistical Modeling, Algorithm Development, Software Engineering, Web Application Development, AWS, Microservices, DevOps, Linux, Modeling, Simulation

Industry

Description

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 & Weapons Integration (CWI) Artificial Intelligence (AI) Center of Excellence in Beavercreek, Ohio is seeking a highly motivated Principal 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 Augmentation and Automation. Research areas include Large Language Models (LLMs), advanced AI-based 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. We are on the cutting edge of responsible AI and explainable AI adoption. We invite you to apply to this requisition so you can learn about the exciting research we do and tell us about how you can help our team! Successful candidates will demonstrate a broad skill set balanced between interpersonal and technical capabilities developing sustainable quality products. They will have a track record as an effective communicator and problem solver who is capable of developing and maintaining good working relationships with internal and external stakeholders. The selected candidates will work closely with other AI/ML and software engineers to accomplish the following: Define, develop, and deliver 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 autonomy, pattern recognition, target detection and tracking, recommendation and decision support systems, and robotic systems. Design, develop, document, test, debug, and deploy state-of-the-art AI/ML applications. Collaborate with cross-functional team to deploy AI/ML solutions in development and production environments. Regularly demonstrate progress to customers. Basic Qualifications Bachelor’s degree in Computer Science or related STEM degree with 5 years' experience OR Master's degree in Computer Science or related STEM degree with 3 years' experience Experience with one of more AI models and algorithms: LLMs, DNN, genetic algorithms, embedding models, deep learning, etc. 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, data processing and preparation, 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. 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, supervised/unsupervised learning methods, reinforcement learning methods, as well as statistical modeling and graphical models. Possess general familiarity with computational and statistical learning theory. Experience with web application development frameworks such as Flask, FastAPI. Understanding of software engineering best practices including source control and software architecture Able to obtain a U.S. Government Top Secret security clearance (U.S. citizenship is a pre-requisite) Preferred Qualifications: Experience with AWS or other cloud computing services. Experience with microservice architectures and related software methods including containerization and container orchestration. Familiarity with explainable AI, adversarial AI, active learning, and third wave approaches to AI. Familiarity with DevOps/DevSecOps/MLOps concepts. Familiarity with Linux-based operating systems. Demonstrated ability to work independently. Experience in working with LLMs (e.g. prompt engineering, LLM development frameworks, fine tuning, quantization) Experience in modeling and simulation. Experience with vector and/or graph databases Primary Level Salary Range: $121,400.00 - $182,000.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit http://www.northropgrumman.com/EEO. U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions. Existing Applicants: Need to update your contact information or email address? Once logged in, click on Candidate Home in the upper right corner and scroll to the bottom of that screen to see buttons for: Update Contact information to update your legal name, address, and phone number Edit Account Settings to edit your email address We are a pioneering company. With careers across all areas: air, cyber, land, sea and space – our 90,000 employees work as one to defend and define the future. Northrop Grumman careers and internships are as varied as your interests, with a lifetime of potential that will give you every opportunity to do your best work. Working together with people from many backgrounds, personal passions and disciplines, we share a drive to push the boundaries of science, technology and engineering to meet the ever evolving needs of our customers worldwide.

Responsibilities

The Principal AI Software Engineer will define, develop, and deliver mathematical and statistical modeling and algorithm development to address challenges in prediction, optimization, and classification. They will collaborate with cross-functional teams to deploy AI/ML solutions in both development and production environments.