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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. Northrop Grumman Mission Systems is a trusted provider of mission-enabling solutions for global security. Our Engineering and Sciences (E&S) organization pushes the boundaries of innovation, redefines engineering capabilities, and drives advances in various sciences. Our team is chartered with providing the skills, innovative technologies to develop, design, produce and sustain optimized product lines across the sector while providing a decisive advantage to the warfighter. Come be a part of our mission! We are looking for you to join our team as a

Principal

/

Sr. Principal

AI Software Engineer

based out of Woodland Hills, CA. As a

Principal

/

Sr. Principal

AI Software Engineer

at Northrop Grumman you will have a challenging and rewarding opportunity to be a part of our Enterprise-wide digital transformation. Through the use of DevSecOps and Agile practices we continue to evolve how we deliver critical national defense products and capabilities for the warfighter. Our success is grounded in our ability to embrace change, move quickly and continuously drive innovation. The successful candidate will be collaborative, open, transparent, and team-oriented with a focus on process automation, team empowerment & shared responsibility, flexibility, continuous learning, and a culture of innovation. Responsibilities include but are not limited to: Define, develop, and deliver novel mathematical and statistical modeling and algorithm products 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, machine learning and decision systems, and false alarm mitigation. 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. 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. This requisition may be filled at a higher grade based on qualifications listed below. This requisition may be filled at either a Principal Level or a Sr. Principal Level. Basic Qualifications for a Principal AI Engineer Software (T03) Bachelor's degree in a STEM discipline with 5+ years of relative experience; Master's degree in a STEM discipline with 3+ years of relative experience; PhD + 1 year of relative experience. An additional 4 years of experience can be considered in lieu of degree. Active Top Secret security clearance. Ability to meet customer-specific security screening requirements within a timeframe set forth by management. Willingness and ability to work onsite full-time. Experience working in C/C++ and Python. Experience executing tasks on schedule. Effective communication and interpersonal skills, with the ability to collaborate effectively with diverse stakeholders. 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. Basic Qualifications for a Sr. Principal AI Engineer Software (T04) Bachelor's degree in a STEM discipline with 8+ years of relative experience; Master's degree in a STEM discipline with 6+ years of relative experience; PhD + 4 years of relative experience. An additional 4 years of experience can be considered in lieu of degree. Active Top Secret security clearance. Ability to meet customer-specific security screening requirements within a timeframe set forth by management. Willingness and ability to work onsite full-time. Experience working in C/C++ and Python. Experience executing tasks on schedule. Effective communication and interpersonal skills, with the ability to collaborate effectively with diverse stakeholders. 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 Qualifications 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. This position is contingent upon the successful transfer of an active DoD Top Secret Clearance and the ability to meet customer-specific security screening requirements within a timeframe set forth by management. Salary Range: $133,500.00 - $200,300.00 Salary Range 2: $166,200.00 - $249,400.00 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. #J-18808-Ljbffr