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AI Software Engineer

In Person (Schriever AFB, Colorado, United States of America)
Full Time
$98,300 – $147,500

Location:
Schriever AFB, Colorado, United States of America

About Northrop Grumman

Northrop Grumman solves the toughest problems in space, aeronautics, defense and cyberspace to meet the ever-evolving needs of our customers worldwide. Our 90,000 employees are Defining Possible every day using science, technology and engineering to create and deliver advanced systems, products and services. Northrop Grumman careers and internships are as varied as your interests, with a lifetime of potential that will allow you to work together with people from many backgrounds, personal passions and disciplines.

Northrop Grumman Space Systems – Launch and Missile Defense Systems (LMDS) has an exciting career opportunity for an AI Software Engineer to join our team of qualified, diverse individuals. This position will be located at the Schriever Space Force Base in Colorado Springs, CO.

Position Overview:

The selected AI Software Engineer will define, develop, and deliver novel mathematical and statistical modeling and algorithm products to tackle the challenges of prediction, optimization, and classification and will be a core contributor toward advancing the artificial intelligence and machine learning products for critical national security programs and missions.  The AI Software Engineer will also 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 false alarm mitigation

Seeking candidates who find satisfaction in working on challenging and diverse assignments in collaborative settings across all levels.

Roles and Responsibilities include:

  • Prototype advanced artificial intelligence techniques to stretch the capability of autonomous systems research and development programs
  • Design, develop, document, test and debug software and system applications that contain logical and mathematical solutions
  • Collaborate with cross-functional team to deploy machine learning algorithms to prototype testing and production
  • 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
  • Will work closely with AI Systems Engineers to understand program intent, system capabilities, and output requirements
  • May implement software-systems, applications, and data architectures that directly leverage AI techniques to support achieving better reliability, precision, accuracy, and speed to meet performance requirements

Basic Requirements:

  • Bachelor’s Degree in a STEM (Science, Technology, Engineering or Mathematics) discipline preferred from an accredited university and 2 years of related experience or a Master’s degree in a STEM discipline and 0 years of related experience
  • Ability and willingness to travel up-to 20% to support business needs
  • Applicants must have an active in-scope U.S. Government DoD issued Secret security clearance at the time of application which is required to start, with the ability to obtain and maintain a Top-Secret security clearance
  • Ability to meet customer-specific security screening requirements within a timeframe set forth by management
  • This position is not remote and will require the selected applicant to work onsite full-time
  • Experience working in C/C++, Python, MATLAB, and other object-oriented languages
  • Effective communication and interpersonal skills, with the ability to collaborate effectively with diverse stakeholders
  • Experience and familiarity with AI technologies and methodologies, including machine learning, deep learning, and convolutional neural nets
  • Experience with Git-based software configuration management tools
  • Experience with PyTorch, Tensorflow, and/or other equivalent machine learning libraries

Preferred Requirements:

  • Current active in-scope DoD Top Secret security clearance
  • Background in Software Development and/or Software Engineering with an Agile/DevSecOps mindset
  • Experience in algorithmic application development and optimization
  • Experience with developing for SWaP-constrained environments
  • Experience with open software/system architecture solutions
  • Experience with Linux operating systems
  • Experience with CUDA and GPUs
  • Experience with high performance numerical/scientific computing, parallel computing
  • Experience with containerization i.e. Podman, Docker, Kubernetes etc..