Northrop Grumman Corp. (AU)
AI Software Engineer Level 3/4 (TS/SCI required at time of application)
Northrop Grumman Corp. (AU), Aurora, Colorado, United States, 80012
Requisition ID: R10187968
Category:
Engineering
Location:
Aurora, Colorado, United States of America
Clearance Type:
Top Secret
Telecommute:
No - Teleworking not available for this position
Shift:
1st Shift (United States of America)
Travel Required:
Yes, 10% of the Time
Relocation Assistance:
Relocation assistance may be available
Positions Available:
1
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. We look for people who have bold new ideas, courage, and a pioneering spirit to join forces to invent the future. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work. The Payload and Ground Systems organization within the Northrop Grumman Space Systems pushes the boundaries of innovation, redefines engineering capabilities, and drives advances in various sciences. Our team is chartered with providing the skills and innovative technologies to develop, design, produce, and sustain optimized product lines across the sector while providing a decisive advantage to the warfighter. Northrop Grumman Space Systems Sector is looking for you to join our team as a Principal or Sr. Principal Software Engineer based out of Aurora, CO. MAC-D is a developing product line that uses signal processing and advanced analytics alongside RF hardware to capture and exploit signals of interest and provide mission-critical data to the users. What You’ll get to Do:
We are looking for a Software Engineer experienced in Python, C/C++, and machine learning who wants to work on an agile development team using modern development practices tackling both new development and operational support of systems that advance National Security. Our Aurora campus has numerous programs in all phases of the development and operational lifecycle. Many of our programs are using a micro-service event-driven architecture using Docker Containers and Kubernetes. We are flexible and career growth-focused, permitting staff to either deepen skills on one program or seek other internal opportunities over time. Roles and Responsibility:
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, including applications in pattern recognition, target detection and tracking, 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 teams to deploy machine learning algorithms to prototype testing and production. Ensure industry best practices and standards are applied and maintained. Work closely with AI Systems Engineers to understand program intent, system capabilities, and output requirements. Execute tasks on schedule, requiring effective communication and interpersonal skills to collaborate effectively with diverse stakeholders. This role will be full-time and onsite in Aurora, CO. Remote work is not an option. This role can be filled at a level 3 or level 4, based on experience and skillset. Basic Qualifications: Principal level 3:
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.
Sr. Principal level 4:
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/SCI security clearance required at time of application.
Candidate must be able to obtain a Counterintelligence Polygraph (CI-Poly).
Ability to meet customer-specific security screening requirements within a timeframe set forth by management.
Experience working in Python and C/C++. Familiarity with AI technologies and methodologies, including machine learning, deep learning, and convolutional neural nets.
Experience implementing software-systems, applications, and data architectures that directly leverage AI techniques to support achieving better reliability.
Preferred Qualifications: Background in Software Development and/or Software Engineering with an Agile/DevSecOps mindset.
Experience with Git-based software configuration management tools.
Experience with PyTorch, TensorFlow, and/or other equivalent machine learning libraries.
Experience with Transformers, CNNs, DNNs.
Experience utilizing LLMs and patterns of Life.
Experience with rapid prototyping and implementation.
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 and parallel computing.
Experience with containerization.
Salary Range:
$133,500 - $200,300 Salary Range 2:
$166,200 - $249,400 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. Northrop Grumman is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action 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.
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Engineering
Location:
Aurora, Colorado, United States of America
Clearance Type:
Top Secret
Telecommute:
No - Teleworking not available for this position
Shift:
1st Shift (United States of America)
Travel Required:
Yes, 10% of the Time
Relocation Assistance:
Relocation assistance may be available
Positions Available:
1
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. We look for people who have bold new ideas, courage, and a pioneering spirit to join forces to invent the future. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work. The Payload and Ground Systems organization within the Northrop Grumman Space Systems pushes the boundaries of innovation, redefines engineering capabilities, and drives advances in various sciences. Our team is chartered with providing the skills and innovative technologies to develop, design, produce, and sustain optimized product lines across the sector while providing a decisive advantage to the warfighter. Northrop Grumman Space Systems Sector is looking for you to join our team as a Principal or Sr. Principal Software Engineer based out of Aurora, CO. MAC-D is a developing product line that uses signal processing and advanced analytics alongside RF hardware to capture and exploit signals of interest and provide mission-critical data to the users. What You’ll get to Do:
We are looking for a Software Engineer experienced in Python, C/C++, and machine learning who wants to work on an agile development team using modern development practices tackling both new development and operational support of systems that advance National Security. Our Aurora campus has numerous programs in all phases of the development and operational lifecycle. Many of our programs are using a micro-service event-driven architecture using Docker Containers and Kubernetes. We are flexible and career growth-focused, permitting staff to either deepen skills on one program or seek other internal opportunities over time. Roles and Responsibility:
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, including applications in pattern recognition, target detection and tracking, 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 teams to deploy machine learning algorithms to prototype testing and production. Ensure industry best practices and standards are applied and maintained. Work closely with AI Systems Engineers to understand program intent, system capabilities, and output requirements. Execute tasks on schedule, requiring effective communication and interpersonal skills to collaborate effectively with diverse stakeholders. This role will be full-time and onsite in Aurora, CO. Remote work is not an option. This role can be filled at a level 3 or level 4, based on experience and skillset. Basic Qualifications: Principal level 3:
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.
Sr. Principal level 4:
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/SCI security clearance required at time of application.
Candidate must be able to obtain a Counterintelligence Polygraph (CI-Poly).
Ability to meet customer-specific security screening requirements within a timeframe set forth by management.
Experience working in Python and C/C++. Familiarity with AI technologies and methodologies, including machine learning, deep learning, and convolutional neural nets.
Experience implementing software-systems, applications, and data architectures that directly leverage AI techniques to support achieving better reliability.
Preferred Qualifications: Background in Software Development and/or Software Engineering with an Agile/DevSecOps mindset.
Experience with Git-based software configuration management tools.
Experience with PyTorch, TensorFlow, and/or other equivalent machine learning libraries.
Experience with Transformers, CNNs, DNNs.
Experience utilizing LLMs and patterns of Life.
Experience with rapid prototyping and implementation.
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 and parallel computing.
Experience with containerization.
Salary Range:
$133,500 - $200,300 Salary Range 2:
$166,200 - $249,400 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. Northrop Grumman is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action 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.
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